What to expect As a key member of the team as the Test Automation Engineer you will be driving the test automation activities within the SPM programme with the aim of increasing the number of tests automated, frequency of execution and speed of runs. You will be facilitating moving existing automation assets that sit on local machines into the common test automation framework and integrating with the CI/CD pipeline. While the concept has been proven successfully in lower environments the team need to expand this into all teams and environments. As a senior Test Engineer, you will be enhancing our test automation capabilities for achieving our north star of fast and safe deployments into production. Your experience will be invaluable to identify and recommend technical best practice on test automation tools, driving innovation and technological change. Identifying and recommending technical best practice on test automation processes, driving continuous improvement. As a lead, you will be helping to establish and maintain test automation policies and standards. Maintaining and enhancing test tooling within GitHub actions CI/CD tool chain. As the lead in maintaining and enhancing the test automation framework, you will also be the lead in contributing to test strategy document on test automation thought leadership and vision. What we can do for you Now, more than ever, we understand that attracting the right talent is pivotal in driving the positive change needed throughout our organisation. Beyond a competitive salary, we offer a comprehensive benefits package that includes: 27.5 days annual leave that increases with tenure Up to 18% on target bonus opportunity Generous pension contribution Car Allowance Life assurance Full support from our employee assistance programme and access to our employee benefits platform Ever-evolving learning and development opportunities Our commitment to embracing diversity extends beyond just words. We actively foster an inclusive workplace that values the unique perspectives and contributions from all colleagues. We hold the belief that Equity, Diversity, and Inclusion are not just vital but fundamental to our success and growth. Our priority lies in shaping a business that mirrors the diverse communities we reach, truly making Post Office 'Everybody's Business'. As an equal opportunity employer, we value and celebrate the differences among our people, ensuring that our practices reflect our dedication to inclusivity and equal representation for all. What you'll need to succeed You will be a Experienced ISTQB/ISEB Practitioner with extensive knowledge and understanding of CI/CD tool chain development. As a leader, you will have the ability to build positive working relationships in a fast paced and complex working environment. You will: Experience in Script development, debugging and optimisation Experienced in Selenium, AWS, GitHub Actions. Extensive use of Playwright, Datadog and Jira Experience of Python (optional) Proven understanding of Agile methodologies and experience working in an agile environment with development squads About us Post Office is an integral part of every community, upheld by the dedication and service of our postmasters. In a world that's constantly evolving, we recognise the importance of adapting and growing. As we navigate the shifting landscapes of a digital age, our commitment to evolving is stronger than ever; without losing the essence of personal touch that defines us. Our journey forward is one of reflection, learning, and positive change. Whilst there is much work to be done, we're looking for people ready to think differently in tackling the challenges ahead - people who possess resilience and a deep sense of responsibility towards our postmasters and the communities they serve. This mission drives us, ensuring that we remain focused on our purpose and strategic intent. If you're inspired by the prospect of making a meaningful difference and contributing to a future where Post Office can stand as a model of renewed progress and integrity, we want to hear from you. Join us on our journey in making Post Office a business that belongs to and serves everyone, shaping a new future Legacy.?
Apr 19, 2024
Full time
What to expect As a key member of the team as the Test Automation Engineer you will be driving the test automation activities within the SPM programme with the aim of increasing the number of tests automated, frequency of execution and speed of runs. You will be facilitating moving existing automation assets that sit on local machines into the common test automation framework and integrating with the CI/CD pipeline. While the concept has been proven successfully in lower environments the team need to expand this into all teams and environments. As a senior Test Engineer, you will be enhancing our test automation capabilities for achieving our north star of fast and safe deployments into production. Your experience will be invaluable to identify and recommend technical best practice on test automation tools, driving innovation and technological change. Identifying and recommending technical best practice on test automation processes, driving continuous improvement. As a lead, you will be helping to establish and maintain test automation policies and standards. Maintaining and enhancing test tooling within GitHub actions CI/CD tool chain. As the lead in maintaining and enhancing the test automation framework, you will also be the lead in contributing to test strategy document on test automation thought leadership and vision. What we can do for you Now, more than ever, we understand that attracting the right talent is pivotal in driving the positive change needed throughout our organisation. Beyond a competitive salary, we offer a comprehensive benefits package that includes: 27.5 days annual leave that increases with tenure Up to 18% on target bonus opportunity Generous pension contribution Car Allowance Life assurance Full support from our employee assistance programme and access to our employee benefits platform Ever-evolving learning and development opportunities Our commitment to embracing diversity extends beyond just words. We actively foster an inclusive workplace that values the unique perspectives and contributions from all colleagues. We hold the belief that Equity, Diversity, and Inclusion are not just vital but fundamental to our success and growth. Our priority lies in shaping a business that mirrors the diverse communities we reach, truly making Post Office 'Everybody's Business'. As an equal opportunity employer, we value and celebrate the differences among our people, ensuring that our practices reflect our dedication to inclusivity and equal representation for all. What you'll need to succeed You will be a Experienced ISTQB/ISEB Practitioner with extensive knowledge and understanding of CI/CD tool chain development. As a leader, you will have the ability to build positive working relationships in a fast paced and complex working environment. You will: Experience in Script development, debugging and optimisation Experienced in Selenium, AWS, GitHub Actions. Extensive use of Playwright, Datadog and Jira Experience of Python (optional) Proven understanding of Agile methodologies and experience working in an agile environment with development squads About us Post Office is an integral part of every community, upheld by the dedication and service of our postmasters. In a world that's constantly evolving, we recognise the importance of adapting and growing. As we navigate the shifting landscapes of a digital age, our commitment to evolving is stronger than ever; without losing the essence of personal touch that defines us. Our journey forward is one of reflection, learning, and positive change. Whilst there is much work to be done, we're looking for people ready to think differently in tackling the challenges ahead - people who possess resilience and a deep sense of responsibility towards our postmasters and the communities they serve. This mission drives us, ensuring that we remain focused on our purpose and strategic intent. If you're inspired by the prospect of making a meaningful difference and contributing to a future where Post Office can stand as a model of renewed progress and integrity, we want to hear from you. Join us on our journey in making Post Office a business that belongs to and serves everyone, shaping a new future Legacy.?
JOB DESCRIPTION We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Engineering Platforms and Experience, Corporate Sector, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Creating well engineered observability solutions for the public cloud will require the successful candidate to bring their knowledge of the major platforms, initially Amazon Web Services (AWS), and their experience building opinionated, pre-configured tools that can remove friction for other engineering teams. Building upon your existing understanding of the SRE (Site Reliability Engineering) mindset you will help design tools that meet the needs of this community and Partners with other teams to build integrated solutions that are cohesive and give a great joined up experience to our customers Leads the production of architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and proficient of applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language- Java Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience of AWS fundamentals such as compute, networking, storage, security policies and how to build & deploy applications into that eco-system Enjoys presenting to other engineers on proposed designs and approaches Proficient in written and verbal communication skills with the ability to articulate concepts to stakeholders, senior management and customers. Preferred qualifications, capabilities, and skills Areas of particular interest would be AWS observability tooling: CloudWatch as well as tooling such as CloudTrails, X-Ray and Identity and Access Management (IAM). Experience with one or more observability platforms such as Dynatrace, Datadog, Splunk, Grafana etc. Exposure to cloud automation technologies such as Terraform Understanding and experience of Open Telemetry (OTel) standards and tools Can demonstrate how to build secure applications, using tools to identify and remediate vulnerabilities and use modern techniques to control access to applications and APIs ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM The Cybersecurity & Technology Controls group at JPMorgan Chase aligns the firm's cybersecurity, access management, controls and resiliency teams. The group proactively and strategically partners with all lines of business and functions to enable them to design, adopt and integrate appropriate controls; deliver processes and solutions efficiently and consistently; and drive automation of controls. The group's number one priority is to enable the business by keeping the firm safe, stable and resilient. High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.
Apr 19, 2024
Full time
JOB DESCRIPTION We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Engineering Platforms and Experience, Corporate Sector, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Creating well engineered observability solutions for the public cloud will require the successful candidate to bring their knowledge of the major platforms, initially Amazon Web Services (AWS), and their experience building opinionated, pre-configured tools that can remove friction for other engineering teams. Building upon your existing understanding of the SRE (Site Reliability Engineering) mindset you will help design tools that meet the needs of this community and Partners with other teams to build integrated solutions that are cohesive and give a great joined up experience to our customers Leads the production of architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and proficient of applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language- Java Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience of AWS fundamentals such as compute, networking, storage, security policies and how to build & deploy applications into that eco-system Enjoys presenting to other engineers on proposed designs and approaches Proficient in written and verbal communication skills with the ability to articulate concepts to stakeholders, senior management and customers. Preferred qualifications, capabilities, and skills Areas of particular interest would be AWS observability tooling: CloudWatch as well as tooling such as CloudTrails, X-Ray and Identity and Access Management (IAM). Experience with one or more observability platforms such as Dynatrace, Datadog, Splunk, Grafana etc. Exposure to cloud automation technologies such as Terraform Understanding and experience of Open Telemetry (OTel) standards and tools Can demonstrate how to build secure applications, using tools to identify and remediate vulnerabilities and use modern techniques to control access to applications and APIs ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM The Cybersecurity & Technology Controls group at JPMorgan Chase aligns the firm's cybersecurity, access management, controls and resiliency teams. The group proactively and strategically partners with all lines of business and functions to enable them to design, adopt and integrate appropriate controls; deliver processes and solutions efficiently and consistently; and drive automation of controls. The group's number one priority is to enable the business by keeping the firm safe, stable and resilient. High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.
IT Manager Glasgow or Edinburgh - Hybrid Salary: £55,000 - £75,000 DOE Are you ready to lead the charge in revolutionising financial data automation? Our client are seeking a dynamic and experienced Technical IT Manager to join their innovative team. The Company : Our client are at the forefront of transforming financial data management for a wide range of clients, from dynamic FinTech startups to global banking institutions. Their platform simplifies complex data processes, automates critical business operations, and ensures compliance with regulatory standards. Join us in setting the new standard for financial data automation and driving better business outcomes for our diverse portfolio of clients. The Opportunity: As the Technical IT Manager, you will play a pivotal role in leading the internal IT team to deliver exceptional support services to staff. This is an exciting opportunity to leverage your technical expertise and leadership skills to drive innovation and excellence within our organisation. Key Responsibilities: Lead and mentor a team of IT Support Engineers Troubleshoot complex technical issues related to Windows Hybrid Domain, Microsoft 365, and end-user computing Collaborate with cross-functional teams to align IT initiatives with business objectives Develop and maintain automation scripts for AD/AAD management Implement infrastructure-as-code solutions for AD/AAD resource management Ensure strong controls for identity and access management Establish robust asset management protocols Monitor security policies and procedures to ensure compliance across the organization Conduct regular audits and assessments to identify areas for improvement Skills and Expertise Required: Minimum 3 years of experience in Azure, including Azure Active Directory, Virtual Machines, Firewall, Networking, Site Recovery, and Sentinel Minimum 2 years of experience managing or mentoring an IT team Minimum 5 years of experience in IT/EUC support roles Proficiency in Windows system administration (Active Directory & Windows Server) Strong scripting skills (PowerShell/Bash) Experience with ticket management (ITIL) Desirable Skills: Linux administration (CentOS, AlmaLinux) Automation tooling (Terraform, Azure DevOps, Ansible) Database administration (MS-SQL) Internal network design, implementation, and management Experience setting up office networks for 20-200 users Experience managing office internet access and secure communications Why Work for Us: We value our employees and offer a range of benefits to support their well-being and professional growth, including: Generous holiday package Birthday leave Discretionary bonus scheme Pension scheme Income protection Private healthcare Health and well-being activities Flexible/hybrid working options Financial well-being advisors High-street discount codes Access to learning platforms and training courses Fundraising activities and charity events Get in touch with Zoe for more information - (phone number removed), (url removed) or get in touch via LinkedIn.
Apr 19, 2024
Full time
IT Manager Glasgow or Edinburgh - Hybrid Salary: £55,000 - £75,000 DOE Are you ready to lead the charge in revolutionising financial data automation? Our client are seeking a dynamic and experienced Technical IT Manager to join their innovative team. The Company : Our client are at the forefront of transforming financial data management for a wide range of clients, from dynamic FinTech startups to global banking institutions. Their platform simplifies complex data processes, automates critical business operations, and ensures compliance with regulatory standards. Join us in setting the new standard for financial data automation and driving better business outcomes for our diverse portfolio of clients. The Opportunity: As the Technical IT Manager, you will play a pivotal role in leading the internal IT team to deliver exceptional support services to staff. This is an exciting opportunity to leverage your technical expertise and leadership skills to drive innovation and excellence within our organisation. Key Responsibilities: Lead and mentor a team of IT Support Engineers Troubleshoot complex technical issues related to Windows Hybrid Domain, Microsoft 365, and end-user computing Collaborate with cross-functional teams to align IT initiatives with business objectives Develop and maintain automation scripts for AD/AAD management Implement infrastructure-as-code solutions for AD/AAD resource management Ensure strong controls for identity and access management Establish robust asset management protocols Monitor security policies and procedures to ensure compliance across the organization Conduct regular audits and assessments to identify areas for improvement Skills and Expertise Required: Minimum 3 years of experience in Azure, including Azure Active Directory, Virtual Machines, Firewall, Networking, Site Recovery, and Sentinel Minimum 2 years of experience managing or mentoring an IT team Minimum 5 years of experience in IT/EUC support roles Proficiency in Windows system administration (Active Directory & Windows Server) Strong scripting skills (PowerShell/Bash) Experience with ticket management (ITIL) Desirable Skills: Linux administration (CentOS, AlmaLinux) Automation tooling (Terraform, Azure DevOps, Ansible) Database administration (MS-SQL) Internal network design, implementation, and management Experience setting up office networks for 20-200 users Experience managing office internet access and secure communications Why Work for Us: We value our employees and offer a range of benefits to support their well-being and professional growth, including: Generous holiday package Birthday leave Discretionary bonus scheme Pension scheme Income protection Private healthcare Health and well-being activities Flexible/hybrid working options Financial well-being advisors High-street discount codes Access to learning platforms and training courses Fundraising activities and charity events Get in touch with Zoe for more information - (phone number removed), (url removed) or get in touch via LinkedIn.
We are hiring a Senior Staff Software Engineer/Principal Software Engineer for Databricks' Engineering team reporting to an Engineering Leader.You will be part of the Databricks engineering organization, working on one the most important products here within Databricks while working with teams that develop Databricks products and features for thousands of enterprises worldwide as well. As a software engineer, you will join as a founding member of our Berlin site (fully remote) but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values (own-it, data decide, teamwork, customer-obsessed). Key Characteristics As an engineer at Databricks, you will build the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Job Description At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Impact you will have: Solve real business needs at large scale by applying your software engineering. Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers Low level systems debugging, performance measurement & optimization on large production clusters. Build architecture design, influence product roadmap, and take ownership and responsibility over new projects. Introduce tools to allow greater automation and operability of services. Use your deep experience to help prevent and investigate production issues. Plan and lead complicated technical projects that work with several teams within the company. Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning. What we look for: 15+ years industry experience building and supporting large-scale distributed systems. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. Strong foundation in algorithms and data structures and their real-world use cases. Experience driving company initiatives towards customer satisfaction. BS/MS/PhD in Computer Science or related majors, or equivalent experience. Comprehensive health coverage including medical, dental, and vision Equity awards Flexible time off Paid parental leave Family Planning Gym reimbursement Employee Assistance Program (EAP) Mental wellness resources About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook .
Apr 19, 2024
Full time
We are hiring a Senior Staff Software Engineer/Principal Software Engineer for Databricks' Engineering team reporting to an Engineering Leader.You will be part of the Databricks engineering organization, working on one the most important products here within Databricks while working with teams that develop Databricks products and features for thousands of enterprises worldwide as well. As a software engineer, you will join as a founding member of our Berlin site (fully remote) but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values (own-it, data decide, teamwork, customer-obsessed). Key Characteristics As an engineer at Databricks, you will build the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Job Description At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Impact you will have: Solve real business needs at large scale by applying your software engineering. Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers Low level systems debugging, performance measurement & optimization on large production clusters. Build architecture design, influence product roadmap, and take ownership and responsibility over new projects. Introduce tools to allow greater automation and operability of services. Use your deep experience to help prevent and investigate production issues. Plan and lead complicated technical projects that work with several teams within the company. Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning. What we look for: 15+ years industry experience building and supporting large-scale distributed systems. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. Strong foundation in algorithms and data structures and their real-world use cases. Experience driving company initiatives towards customer satisfaction. BS/MS/PhD in Computer Science or related majors, or equivalent experience. Comprehensive health coverage including medical, dental, and vision Equity awards Flexible time off Paid parental leave Family Planning Gym reimbursement Employee Assistance Program (EAP) Mental wellness resources About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook .
IT Manager Glasgow or Edinburgh - Hybrid Salary: £55,000 - £75,000 DOE Are you ready to lead the charge in revolutionising financial data automation? Our client are seeking a dynamic and experienced Technical IT Manager to join their innovative team. The Company : Our client are at the forefront of transforming financial data management for a wide range of clients, from dynamic FinTech startups to global banking institutions. Their platform simplifies complex data processes, automates critical business operations, and ensures compliance with regulatory standards. Join us in setting the new standard for financial data automation and driving better business outcomes for our diverse portfolio of clients. The Opportunity: As the Technical IT Manager, you will play a pivotal role in leading the internal IT team to deliver exceptional support services to staff. This is an exciting opportunity to leverage your technical expertise and leadership skills to drive innovation and excellence within our organisation. Key Responsibilities: Lead and mentor a team of IT Support Engineers Troubleshoot complex technical issues related to Windows Hybrid Domain, Microsoft 365, and end-user computing Collaborate with cross-functional teams to align IT initiatives with business objectives Develop and maintain automation scripts for AD/AAD management Implement infrastructure-as-code solutions for AD/AAD resource management Ensure strong controls for identity and access management Establish robust asset management protocols Monitor security policies and procedures to ensure compliance across the organization Conduct regular audits and assessments to identify areas for improvement Skills and Expertise Required: Minimum 3 years of experience in Azure, including Azure Active Directory, Virtual Machines, Firewall, Networking, Site Recovery, and Sentinel Minimum 2 years of experience managing or mentoring an IT team Minimum 5 years of experience in IT/EUC support roles Proficiency in Windows system administration (Active Directory & Windows Server) Strong scripting skills (PowerShell/Bash) Experience with ticket management (ITIL) Desirable Skills: Linux administration (CentOS, AlmaLinux) Automation tooling (Terraform, Azure DevOps, Ansible) Database administration (MS-SQL) Internal network design, implementation, and management Experience setting up office networks for 20-200 users Experience managing office internet access and secure communications Why Work for Us: We value our employees and offer a range of benefits to support their well-being and professional growth, including: Generous holiday package Birthday leave Discretionary bonus scheme Pension scheme Income protection Private healthcare Health and well-being activities Flexible/hybrid working options Financial well-being advisors High-street discount codes Access to learning platforms and training courses Fundraising activities and charity events Get in touch with Zoe for more information - (phone number removed), (url removed) or get in touch via LinkedIn.
Apr 19, 2024
Full time
IT Manager Glasgow or Edinburgh - Hybrid Salary: £55,000 - £75,000 DOE Are you ready to lead the charge in revolutionising financial data automation? Our client are seeking a dynamic and experienced Technical IT Manager to join their innovative team. The Company : Our client are at the forefront of transforming financial data management for a wide range of clients, from dynamic FinTech startups to global banking institutions. Their platform simplifies complex data processes, automates critical business operations, and ensures compliance with regulatory standards. Join us in setting the new standard for financial data automation and driving better business outcomes for our diverse portfolio of clients. The Opportunity: As the Technical IT Manager, you will play a pivotal role in leading the internal IT team to deliver exceptional support services to staff. This is an exciting opportunity to leverage your technical expertise and leadership skills to drive innovation and excellence within our organisation. Key Responsibilities: Lead and mentor a team of IT Support Engineers Troubleshoot complex technical issues related to Windows Hybrid Domain, Microsoft 365, and end-user computing Collaborate with cross-functional teams to align IT initiatives with business objectives Develop and maintain automation scripts for AD/AAD management Implement infrastructure-as-code solutions for AD/AAD resource management Ensure strong controls for identity and access management Establish robust asset management protocols Monitor security policies and procedures to ensure compliance across the organization Conduct regular audits and assessments to identify areas for improvement Skills and Expertise Required: Minimum 3 years of experience in Azure, including Azure Active Directory, Virtual Machines, Firewall, Networking, Site Recovery, and Sentinel Minimum 2 years of experience managing or mentoring an IT team Minimum 5 years of experience in IT/EUC support roles Proficiency in Windows system administration (Active Directory & Windows Server) Strong scripting skills (PowerShell/Bash) Experience with ticket management (ITIL) Desirable Skills: Linux administration (CentOS, AlmaLinux) Automation tooling (Terraform, Azure DevOps, Ansible) Database administration (MS-SQL) Internal network design, implementation, and management Experience setting up office networks for 20-200 users Experience managing office internet access and secure communications Why Work for Us: We value our employees and offer a range of benefits to support their well-being and professional growth, including: Generous holiday package Birthday leave Discretionary bonus scheme Pension scheme Income protection Private healthcare Health and well-being activities Flexible/hybrid working options Financial well-being advisors High-street discount codes Access to learning platforms and training courses Fundraising activities and charity events Get in touch with Zoe for more information - (phone number removed), (url removed) or get in touch via LinkedIn.
Data Engineer - Dynamics 365 CE / CRM and Power Platform experience required A well established MS partner who are experiencing growth through a very strong project pipeline are looking to add a Data Engineer and a Data Analytics Consultant to their team. They pride themselves on their innovative approach and their commitment to delivering outstanding results for the clients. Job Purpose Developing accurate, efficient data transformations that meet customer needs within agreed deadlines. Ensuring the reliability, robustness, and resilience of the projects you design and build, while working independently within agreed standards Creating and maintaining data pipelines, data storage solutions, data processing, and data integration. Troubleshooting issues and implementing necessary fixes. Key Responsibilities Designing and building reliable, robust, and accurate data pipelines based on agreed best practices. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources using SQL and other technologies. Design ETL processes, develop integration workflows, and manage data load processes to support both regular and ad-hoc activities. Create and maintain optimal data pipeline architecture, which might include integrating with Dataverse via cloud flows or external data sources. Design, develop, and maintain data warehouse environments. Identify, design, and implement internal process improvements, including automating manual processes, optimising data delivery, and re-designing infrastructure for greater scalability Technical Skills 3-5 years' established experience as a Data Engineer Experience with programming languages and tools C#, Python, Visual Studio Code and JSON Dynamics 365 CRM experience Power Platform: Power Automate, Dataverse Data management and warehousing ETL and ELT Data architecture and experience building complex database systems for businesses SQL Server including query optimisation Coding experience to include low code/no-code solutions Comfortable working with a range of data sources and formats e.g. JSON, XML, Flat files, API Integration Machine Learning and AI Normalisation and de-normalisation Understanding of Snowflake architecture, data modelling, and administration 50,000 - 60,000 based on experience - Great benefits They would consider contract options for these roles so please do reach out of you are looking for a contract opportunity - Outside IR35. This role will be fully remote with the occasional travel to client site. You must have the right to work in the UK as sponsorship is not provided. Please reach out to me on (phone number removed) or (url removed) to find out more information and get your application moving!
Apr 18, 2024
Full time
Data Engineer - Dynamics 365 CE / CRM and Power Platform experience required A well established MS partner who are experiencing growth through a very strong project pipeline are looking to add a Data Engineer and a Data Analytics Consultant to their team. They pride themselves on their innovative approach and their commitment to delivering outstanding results for the clients. Job Purpose Developing accurate, efficient data transformations that meet customer needs within agreed deadlines. Ensuring the reliability, robustness, and resilience of the projects you design and build, while working independently within agreed standards Creating and maintaining data pipelines, data storage solutions, data processing, and data integration. Troubleshooting issues and implementing necessary fixes. Key Responsibilities Designing and building reliable, robust, and accurate data pipelines based on agreed best practices. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources using SQL and other technologies. Design ETL processes, develop integration workflows, and manage data load processes to support both regular and ad-hoc activities. Create and maintain optimal data pipeline architecture, which might include integrating with Dataverse via cloud flows or external data sources. Design, develop, and maintain data warehouse environments. Identify, design, and implement internal process improvements, including automating manual processes, optimising data delivery, and re-designing infrastructure for greater scalability Technical Skills 3-5 years' established experience as a Data Engineer Experience with programming languages and tools C#, Python, Visual Studio Code and JSON Dynamics 365 CRM experience Power Platform: Power Automate, Dataverse Data management and warehousing ETL and ELT Data architecture and experience building complex database systems for businesses SQL Server including query optimisation Coding experience to include low code/no-code solutions Comfortable working with a range of data sources and formats e.g. JSON, XML, Flat files, API Integration Machine Learning and AI Normalisation and de-normalisation Understanding of Snowflake architecture, data modelling, and administration 50,000 - 60,000 based on experience - Great benefits They would consider contract options for these roles so please do reach out of you are looking for a contract opportunity - Outside IR35. This role will be fully remote with the occasional travel to client site. You must have the right to work in the UK as sponsorship is not provided. Please reach out to me on (phone number removed) or (url removed) to find out more information and get your application moving!
Title: Senior / Mid Level Data Scientists /Data Engineer Location: Bristol Contract Type: Permanent Salary Range: £50,000 - £80,000 per year Our client, a leading organisation in the reinsurance industry, is seeking talented and experienced Mid-Level Data Scientists /Data Engineers to join their team in Bristol. As a key player in the development and operations of their automated ingestion system, you will contribute to the enhancement of their data processing and analysis capabilities. Responsibilities: - Automated Ingestion System Development: Design, develop, and maintain efficient, scalable, and reliable data ingestion pipelines. - ML Component Integration: Integrate advanced machine learning components into data pipelines to optimise data processing and analysis. - Data Quality and Metrics: Implement data quality metrics and dashboards to ensure the integrity and accuracy of ingested data. - Collaboration: Work closely with data scientists, engineers, and other team members in a multifunctional agile development team to meet project goals. - Innovation: Utilise modern NLP techniques to improve data understanding and processing, staying updated with the latest developments in data science and engineering. Qualifications: - Experience: Minimum of 3 years of experience developing complex data ingestion pipelines with sophisticated ML components. Prior experience in the insurance sector is advantageous. - Education: Degree in Computer Science, Data Science, Engineering, or a related field. - Technical Skills: Strong proficiency in Python, SQL, PySpark, and Databricks. Demonstrated experience with modern NLP techniques and tools. Proven ability to create and manage data quality metrics and dashboards. Experience working in a multifunctional agile development team. Proficiency in using Git for version control. - Industry Knowledge: Familiarity with the insurance sector and its data challenges is highly desirable. - Soft Skills: Excellent problem-solving skills, strong communication abilities, and a collaborative spirit. Perks: Health insurance Hybrid working Life assurance Private Medical 5% pension 28 days annual leave plus bank holidays Why join our client? - Impact: Make a significant contribution to enhancing their data ingestion capabilities and improving their ability to manage cyber risk more effectively. - Innovation: Work with cutting-edge technologies and methodologies in the field of data science and engineering. - Growth: Enjoy opportunities for professional development in a supportive and forward-thinking environment. - Culture: Be part of a collaborative, innovative team that values each member's contribution towards collective goals. If you are passionate about crafting sophisticated data ingestion pipelines and thrive in a dynamic, agile environment, our client welcomes your application. Don't miss this exciting opportunity to join their team in revolutionising the way cyber risk is understood and mitigated in the reinsurance domain. Apply now! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Apr 18, 2024
Full time
Title: Senior / Mid Level Data Scientists /Data Engineer Location: Bristol Contract Type: Permanent Salary Range: £50,000 - £80,000 per year Our client, a leading organisation in the reinsurance industry, is seeking talented and experienced Mid-Level Data Scientists /Data Engineers to join their team in Bristol. As a key player in the development and operations of their automated ingestion system, you will contribute to the enhancement of their data processing and analysis capabilities. Responsibilities: - Automated Ingestion System Development: Design, develop, and maintain efficient, scalable, and reliable data ingestion pipelines. - ML Component Integration: Integrate advanced machine learning components into data pipelines to optimise data processing and analysis. - Data Quality and Metrics: Implement data quality metrics and dashboards to ensure the integrity and accuracy of ingested data. - Collaboration: Work closely with data scientists, engineers, and other team members in a multifunctional agile development team to meet project goals. - Innovation: Utilise modern NLP techniques to improve data understanding and processing, staying updated with the latest developments in data science and engineering. Qualifications: - Experience: Minimum of 3 years of experience developing complex data ingestion pipelines with sophisticated ML components. Prior experience in the insurance sector is advantageous. - Education: Degree in Computer Science, Data Science, Engineering, or a related field. - Technical Skills: Strong proficiency in Python, SQL, PySpark, and Databricks. Demonstrated experience with modern NLP techniques and tools. Proven ability to create and manage data quality metrics and dashboards. Experience working in a multifunctional agile development team. Proficiency in using Git for version control. - Industry Knowledge: Familiarity with the insurance sector and its data challenges is highly desirable. - Soft Skills: Excellent problem-solving skills, strong communication abilities, and a collaborative spirit. Perks: Health insurance Hybrid working Life assurance Private Medical 5% pension 28 days annual leave plus bank holidays Why join our client? - Impact: Make a significant contribution to enhancing their data ingestion capabilities and improving their ability to manage cyber risk more effectively. - Innovation: Work with cutting-edge technologies and methodologies in the field of data science and engineering. - Growth: Enjoy opportunities for professional development in a supportive and forward-thinking environment. - Culture: Be part of a collaborative, innovative team that values each member's contribution towards collective goals. If you are passionate about crafting sophisticated data ingestion pipelines and thrive in a dynamic, agile environment, our client welcomes your application. Don't miss this exciting opportunity to join their team in revolutionising the way cyber risk is understood and mitigated in the reinsurance domain. Apply now! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Position: Senior Data Scientist - Cyber Risk Quantitative Risk Modeller Location: Bristol Our client, a pioneering reinsurance agency based in Bristol, UK, is seeking a highly skilled and experienced Senior Data Scientist - Cyber Risk Quantitative Risk Modeller to join their dynamic modelling team. They specialise in the cutting-edge domain of cyber risk and aim to redefine the landscape of cyber risk assessment and management. As a Senior Data Scientist, reporting into the Head of Data Science & Modelling, you will play a pivotal role in the development and operationalization of our client's proprietary stochastic cyber risk model. This position offers an exciting opportunity to contribute significantly to the advancement of analytical capabilities and the broader field of cyber risk modelling. Responsibilities: - Model Development and Operation: Be a key member of the team responsible for designing, developing, refining, and executing the stochastic cyber risk model, ensuring its accuracy, performance, and scalability. - Data Analysis: Perform complex data analysis to extract insights and identify trends in cyber risk using statistical and machine learning techniques. - Operationalization: Translate model insights into actionable strategies and tools for internal and external stakeholders. - Collaboration: Work closely with other team members, including underwriters, engineers, and cyber risk analysts, to integrate the cyber risk model with other systems and processes. - Innovation: Stay updated with the latest developments in data science, cyber security, and risk modelling and incorporate innovative techniques and technologies into our models. Qualifications: - Experience: Minimum of 5 years of experience as a data scientist/quantitative risk modeller, with a proven track record of operationalizing complex models and analytics. - Education: A degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred. - Technical Skills: Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python and SQL, with experience in big data technologies and tools (Databricks and Pyspark preferred). Familiarity with agile software development processes. - Industry Knowledge: Experience in insurance, cyber risk, or related domains is ideal. Understanding of the reinsurance industry and its challenges is a plus. - Soft Skills: Excellent problem-solving abilities, strong communication skills, and the capacity to work effectively in a team-oriented environment. Benefits: - Impact: Make a tangible impact on the future of cyber risk management and reinsurance. - Innovation: Work at the forefront of data science and cyber security, with opportunities to innovate and challenge the status quo. - Growth: Benefit from opportunities for professional development and advancement in a rapidly growing company. - Culture: Join a collaborative, supportive, and forward-thinking team that values innovation and excellence. Salary: £70,000 to £80,000 per year Contract Type: Permanent Working Pattern: Full Time Additional Perks: Health insurance, Hybrid working, Life assurance, Private Medical, 5% pension, 28 days annual leave plus bank holidays, Collaborative working If you have the skills, experience, and passion to excel in this role, apply now and be a part of our client's groundbreaking work in the field of cyber risk assessment and management. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Apr 18, 2024
Full time
Position: Senior Data Scientist - Cyber Risk Quantitative Risk Modeller Location: Bristol Our client, a pioneering reinsurance agency based in Bristol, UK, is seeking a highly skilled and experienced Senior Data Scientist - Cyber Risk Quantitative Risk Modeller to join their dynamic modelling team. They specialise in the cutting-edge domain of cyber risk and aim to redefine the landscape of cyber risk assessment and management. As a Senior Data Scientist, reporting into the Head of Data Science & Modelling, you will play a pivotal role in the development and operationalization of our client's proprietary stochastic cyber risk model. This position offers an exciting opportunity to contribute significantly to the advancement of analytical capabilities and the broader field of cyber risk modelling. Responsibilities: - Model Development and Operation: Be a key member of the team responsible for designing, developing, refining, and executing the stochastic cyber risk model, ensuring its accuracy, performance, and scalability. - Data Analysis: Perform complex data analysis to extract insights and identify trends in cyber risk using statistical and machine learning techniques. - Operationalization: Translate model insights into actionable strategies and tools for internal and external stakeholders. - Collaboration: Work closely with other team members, including underwriters, engineers, and cyber risk analysts, to integrate the cyber risk model with other systems and processes. - Innovation: Stay updated with the latest developments in data science, cyber security, and risk modelling and incorporate innovative techniques and technologies into our models. Qualifications: - Experience: Minimum of 5 years of experience as a data scientist/quantitative risk modeller, with a proven track record of operationalizing complex models and analytics. - Education: A degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred. - Technical Skills: Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python and SQL, with experience in big data technologies and tools (Databricks and Pyspark preferred). Familiarity with agile software development processes. - Industry Knowledge: Experience in insurance, cyber risk, or related domains is ideal. Understanding of the reinsurance industry and its challenges is a plus. - Soft Skills: Excellent problem-solving abilities, strong communication skills, and the capacity to work effectively in a team-oriented environment. Benefits: - Impact: Make a tangible impact on the future of cyber risk management and reinsurance. - Innovation: Work at the forefront of data science and cyber security, with opportunities to innovate and challenge the status quo. - Growth: Benefit from opportunities for professional development and advancement in a rapidly growing company. - Culture: Join a collaborative, supportive, and forward-thinking team that values innovation and excellence. Salary: £70,000 to £80,000 per year Contract Type: Permanent Working Pattern: Full Time Additional Perks: Health insurance, Hybrid working, Life assurance, Private Medical, 5% pension, 28 days annual leave plus bank holidays, Collaborative working If you have the skills, experience, and passion to excel in this role, apply now and be a part of our client's groundbreaking work in the field of cyber risk assessment and management. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Head of Data Engineering The Head of Data will be a strategic leader responsible for overseeing all aspects of data management, analytics, and governance within the organisation. This individual will play a critical role in driving data-driven decision-making processes, optimising data infrastructure, and ensuring the integrity, security, and accessibility of data assets. The ideal candidate will possess strong leadership skills, deep technical expertise in data management and analytics, and a proven track record of implementing innovative data strategies to support business objectives. Key Responsibilities: Strategic Leadership: Lead the development and execution of the organisation's data strategy, aligning it with business goals and objectives. Provide strategic direction for the use of data to drive decision-making and improve operational efficiency. Data Management: Oversee the design, implementation, and maintenance of robust data management systems and processes, including data acquisition, storage, integration, quality assurance, and lifecycle management. Data Analytics: Drive the development and implementation of advanced analytics initiatives to extract insights from data, identify trends, and support predictive modelling and forecasting. Collaborate with business stakeholders to understand their analytical needs and develop solutions to address them. Data Governance: Establish and enforce data governance policies, standards, and best practices to ensure the accuracy, consistency, security, and privacy of data across the organization. Develop data quality metrics and monitor compliance with regulatory requirements. Data Architecture: Define and maintain the organization's data architecture, including data models, schemas, and taxonomies. Evaluate and select appropriate technologies and tools to support data management, analytics, and visualization requirements. Team Leadership: Build and lead a high-performing team of data professionals, including data engineers, analysts, scientists, and governance specialists. Provide mentorship, coaching, and professional development opportunities to foster a culture of continuous learning and growth. Cross-Functional Collaboration: Collaborate closely with other departments, including IT, finance, marketing, operations, and product development, to understand their data needs and priorities. Partner with business leaders to develop data-driven solutions that drive value and competitive advantage. Vendor Management: Evaluate and manage relationships with third-party data vendors, software providers, and consultants to ensure the successful implementation of data-related projects and initiatives. Negotiate contracts, oversee vendor performance, and assess emerging technologies and trends in the data management space. Qualifications: Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field; advanced degree (e.g., MBA, MS, or PhD) preferred. 10+ years of experience in data management, analytics, and business intelligence, with at least 5 years in a leadership role. Proven track record of developing and implementing data strategies that drive business growth and innovation. Deep understanding of data governance principles, regulatory compliance requirements (e.g., GDPR, CCPA), and industry best practices. Strong technical proficiency in data modelling, SQL, ETL tools, data visualization tools (e.g., Tableau, Power BI), and advanced analytics techniques (e.g., machine learning, predictive modelling). Excellent leadership, communication, and interpersonal skills, with the ability to influence and collaborate effectively across all levels of the organization. Demonstrated experience in managing cross-functional teams and driving cultural change towards a data-driven mindset. Ability to thrive in a fast-paced, dynamic environment and effectively prioritize and manage multiple projects and initiatives. Interested? Please submit your updated CV to Lucy Morgan at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy. Please see our website for Crimson's Privacy Statement, should you wish to view prior to applying for this vacancy.
Apr 18, 2024
Full time
Head of Data Engineering The Head of Data will be a strategic leader responsible for overseeing all aspects of data management, analytics, and governance within the organisation. This individual will play a critical role in driving data-driven decision-making processes, optimising data infrastructure, and ensuring the integrity, security, and accessibility of data assets. The ideal candidate will possess strong leadership skills, deep technical expertise in data management and analytics, and a proven track record of implementing innovative data strategies to support business objectives. Key Responsibilities: Strategic Leadership: Lead the development and execution of the organisation's data strategy, aligning it with business goals and objectives. Provide strategic direction for the use of data to drive decision-making and improve operational efficiency. Data Management: Oversee the design, implementation, and maintenance of robust data management systems and processes, including data acquisition, storage, integration, quality assurance, and lifecycle management. Data Analytics: Drive the development and implementation of advanced analytics initiatives to extract insights from data, identify trends, and support predictive modelling and forecasting. Collaborate with business stakeholders to understand their analytical needs and develop solutions to address them. Data Governance: Establish and enforce data governance policies, standards, and best practices to ensure the accuracy, consistency, security, and privacy of data across the organization. Develop data quality metrics and monitor compliance with regulatory requirements. Data Architecture: Define and maintain the organization's data architecture, including data models, schemas, and taxonomies. Evaluate and select appropriate technologies and tools to support data management, analytics, and visualization requirements. Team Leadership: Build and lead a high-performing team of data professionals, including data engineers, analysts, scientists, and governance specialists. Provide mentorship, coaching, and professional development opportunities to foster a culture of continuous learning and growth. Cross-Functional Collaboration: Collaborate closely with other departments, including IT, finance, marketing, operations, and product development, to understand their data needs and priorities. Partner with business leaders to develop data-driven solutions that drive value and competitive advantage. Vendor Management: Evaluate and manage relationships with third-party data vendors, software providers, and consultants to ensure the successful implementation of data-related projects and initiatives. Negotiate contracts, oversee vendor performance, and assess emerging technologies and trends in the data management space. Qualifications: Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field; advanced degree (e.g., MBA, MS, or PhD) preferred. 10+ years of experience in data management, analytics, and business intelligence, with at least 5 years in a leadership role. Proven track record of developing and implementing data strategies that drive business growth and innovation. Deep understanding of data governance principles, regulatory compliance requirements (e.g., GDPR, CCPA), and industry best practices. Strong technical proficiency in data modelling, SQL, ETL tools, data visualization tools (e.g., Tableau, Power BI), and advanced analytics techniques (e.g., machine learning, predictive modelling). Excellent leadership, communication, and interpersonal skills, with the ability to influence and collaborate effectively across all levels of the organization. Demonstrated experience in managing cross-functional teams and driving cultural change towards a data-driven mindset. Ability to thrive in a fast-paced, dynamic environment and effectively prioritize and manage multiple projects and initiatives. Interested? Please submit your updated CV to Lucy Morgan at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy. Please see our website for Crimson's Privacy Statement, should you wish to view prior to applying for this vacancy.
Software Engineer Purpose of job: Application of a software engineering approach to undertake all tasks within a software development lifecycle. Scope: To support or lead the development of software systems for above-water and underwater solutions, products and systems Reporting relationships: Reports to Technical Lead / Team Leader Staff responsibility: May be required to act as software lead at system and/or subsystem level Location: Dorset Innovation Park, Winfrith Employment status: Permanent, full time (37 hours/ week) Knowledge, skills and personal qualities required: Proven ability to support or lead software developments Educated to Degree or equivalent level in a software engineering or related discipline Knowledge and understanding of Software Engineering Preferably have an understanding of military systems, in particular maritime systems Understanding of Open Systems Architectures and Principles Experience of Software Engineering Lifecycle processes and tools Ability to solve complex problems and to critically review results and methods to ensure quality Ability to expand knowledge into new domain areas, work across domains and see the bigger picture Excellent communication skills, including delivery of presentations Good written skills including technical report writing, ability to communicate with both experts and non experts Ideally the candidate will have experience in one or more of the following domain areas: Maritime Combat Systems, integration of equipment and software Command and Control Systems Hardware and software network design, implementation and management Acoustics / Sonar RF communications Autonomy, AI, Machine learning Data management Engagement modelling Software Safety (DEF STAN 00-56 & IEC 61508 or equivalent) Desirable primary software/system skills: Java / JavaFX / Netbeans C++ / Visual Studio Requirements management (DOORS experience desirable) UML / Enterprise Architect for system design Unit Testing / JUnit / CppUnit HMI design and development Atlassian Toolset Network protocols Databases ISO 9001 and TickITplus standards ( A strong bias to one particular coding language will not be considered a disadvantage) Other desirable software/system skills: Python Fortran Matlab LabView SQL Web (HTML, JavaScript) Usability Testing IT skills, protocols, switch config, hardware config, virtualization Agile software development Key accountabilities To be agreed by appointment Behavioural requirements Good at working both in a team and independently Attention to detail and understanding of the larger picture Strong communication skills Proactive, willing and responsive Motivated and genuinely interested in problem solving and developing logical, robust solutions Able to multi-task and prioritise a varied work load Wants to expand knowledge base
Apr 18, 2024
Full time
Software Engineer Purpose of job: Application of a software engineering approach to undertake all tasks within a software development lifecycle. Scope: To support or lead the development of software systems for above-water and underwater solutions, products and systems Reporting relationships: Reports to Technical Lead / Team Leader Staff responsibility: May be required to act as software lead at system and/or subsystem level Location: Dorset Innovation Park, Winfrith Employment status: Permanent, full time (37 hours/ week) Knowledge, skills and personal qualities required: Proven ability to support or lead software developments Educated to Degree or equivalent level in a software engineering or related discipline Knowledge and understanding of Software Engineering Preferably have an understanding of military systems, in particular maritime systems Understanding of Open Systems Architectures and Principles Experience of Software Engineering Lifecycle processes and tools Ability to solve complex problems and to critically review results and methods to ensure quality Ability to expand knowledge into new domain areas, work across domains and see the bigger picture Excellent communication skills, including delivery of presentations Good written skills including technical report writing, ability to communicate with both experts and non experts Ideally the candidate will have experience in one or more of the following domain areas: Maritime Combat Systems, integration of equipment and software Command and Control Systems Hardware and software network design, implementation and management Acoustics / Sonar RF communications Autonomy, AI, Machine learning Data management Engagement modelling Software Safety (DEF STAN 00-56 & IEC 61508 or equivalent) Desirable primary software/system skills: Java / JavaFX / Netbeans C++ / Visual Studio Requirements management (DOORS experience desirable) UML / Enterprise Architect for system design Unit Testing / JUnit / CppUnit HMI design and development Atlassian Toolset Network protocols Databases ISO 9001 and TickITplus standards ( A strong bias to one particular coding language will not be considered a disadvantage) Other desirable software/system skills: Python Fortran Matlab LabView SQL Web (HTML, JavaScript) Usability Testing IT skills, protocols, switch config, hardware config, virtualization Agile software development Key accountabilities To be agreed by appointment Behavioural requirements Good at working both in a team and independently Attention to detail and understanding of the larger picture Strong communication skills Proactive, willing and responsive Motivated and genuinely interested in problem solving and developing logical, robust solutions Able to multi-task and prioritise a varied work load Wants to expand knowledge base
Outside IR35 Contractor - Machine Learning Data Engineer - Are you an experience ML Data Engineer contractor who can hit the ground running? Job Title - Machine Learning (ML Ops) Engineer Day Rate - Market Rates Location - London / Remote (ad hoc travel for meetings) Duration - 6 months (potential extension to 9 months) Industry - FinTech / Banking Role responsibilities: Design the data pipelines and engineering infrastructure to support machine learning system at scale. Take offline models data scientists build and turn them into a real machine learning production system. Develop and deploy scalable tools and services to handle machine learning training and inference. Identify and evaluate new technologies to improve performance, maintainability, and reliability machine learning system. Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. Support model development, with an emphasis on auditability, versioning, and data security. Facilitate the development and deployment of proof-of-concept machine learning system. Communicate with Data Science team to build requirements and track progress. Experience /Tech: Experience building end-to-end systems as a ML Ops Engineer, or Data Engineer (or equivalent) Strong software engineering skills in complex, multi-language systems Fluency in Python, especially in one or more API frameworks (eg. FastAPI, Flask, Django) Experience with Azure platform especially in Azure Machine Learning Experience working with cloud computing and database systems. Experience building custom integrations between cloud-based systems using APIs. Experience developing and maintaining ML systems built with open-source tools. Ability to translate business needs to technical requirements. Strong understanding of software testing, benchmarking, and continuous integration Exposure to machine learning methodology and best practices Exposure to deep learning approaches and modelling frameworks (PyTorch, Tensorflow, Keras, MLFlow, etc.) Email "Hello, I am interested in your ML Data Engineer role (with CV attached)" to InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably qualified persons regardless of age, disability, gender, religion/belief, race, marriage, civil partnership, pregnancy, maternity, sex or sexual orientation. Please make us aware if you require any reasonable adjustments throughout the recruitment process.
Apr 18, 2024
Full time
Outside IR35 Contractor - Machine Learning Data Engineer - Are you an experience ML Data Engineer contractor who can hit the ground running? Job Title - Machine Learning (ML Ops) Engineer Day Rate - Market Rates Location - London / Remote (ad hoc travel for meetings) Duration - 6 months (potential extension to 9 months) Industry - FinTech / Banking Role responsibilities: Design the data pipelines and engineering infrastructure to support machine learning system at scale. Take offline models data scientists build and turn them into a real machine learning production system. Develop and deploy scalable tools and services to handle machine learning training and inference. Identify and evaluate new technologies to improve performance, maintainability, and reliability machine learning system. Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. Support model development, with an emphasis on auditability, versioning, and data security. Facilitate the development and deployment of proof-of-concept machine learning system. Communicate with Data Science team to build requirements and track progress. Experience /Tech: Experience building end-to-end systems as a ML Ops Engineer, or Data Engineer (or equivalent) Strong software engineering skills in complex, multi-language systems Fluency in Python, especially in one or more API frameworks (eg. FastAPI, Flask, Django) Experience with Azure platform especially in Azure Machine Learning Experience working with cloud computing and database systems. Experience building custom integrations between cloud-based systems using APIs. Experience developing and maintaining ML systems built with open-source tools. Ability to translate business needs to technical requirements. Strong understanding of software testing, benchmarking, and continuous integration Exposure to machine learning methodology and best practices Exposure to deep learning approaches and modelling frameworks (PyTorch, Tensorflow, Keras, MLFlow, etc.) Email "Hello, I am interested in your ML Data Engineer role (with CV attached)" to InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably qualified persons regardless of age, disability, gender, religion/belief, race, marriage, civil partnership, pregnancy, maternity, sex or sexual orientation. Please make us aware if you require any reasonable adjustments throughout the recruitment process.
With over 18,000 employees worldwide, the Microsoft Customer Experience & Success (CE&S) organization is responsible for the strategy, design, and implementation of Microsoft's end-to-end customer experience. Come join CE&S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide a differentiated and connected customer experience. The Global Customer Success (GCS) organization is leading the effort to create the desired customer experience through support offer creation, driving digital transformation across our tools, and delivering operational excellence across CE&S. Would you like to join one of the fastest-growing teams within Microsoft Azure Engineering? Are you constantly customer-obsessed, and focused on enhancing customer experience? Are you passionate about cloud computing and love the challenge of solving the most complex technical problems? Come join us and surround yourself with people who are passionate about cloud computing and believe that extraordinary support is critical to customer success. We are Azure Customer Experience Engineering - a global Azure Engineering Support organization (part of Azure Customer Experience group) that is customer-obsessed, and support engaged, with an engineering mindset. As an Azure Customer Experience Engineer, you are the primary support and engineering contact accountable for the customer's Azure support experience driving resolution of complex critical problems and supporting key customer projects on Azure. You will also act as the voice of the customer within Azure to escalate problems and to drive prioritization of platform/support improvement needs for customers. In this role, you will work together with field teams (Customer Success Account Managers, Cloud Solution Architects, Support Escalation Engineers) and Azure engineering teams with our mission to turn Azure customers into fans with a world-class engineering-led support experience. This role is flexible in that you can work up to 100% from home. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications • Experience: Demonstrated IT experience supporting and troubleshooting enterprise level, mission-critical applications resolving highly complex issues/situations and driving technical resolution across cross-functional organizations. Substantial cloud experience. • Excellent Communication: Must have the ability to empathize with customers and convey confidence. Able to explain highly technical issues to varied audiences. Able to prioritize and advocate customer's needs to the proper channels. Take ownership and work towards a resolution. • Customer Obsession: Passion for customers and focus on delivering the right customer experience. • Growth Mindset: Openness and ability to learn new skills and technologies in a fast-paced environment. • Technical Skills: Some understanding of cloud computing technologies. Optionally, demonstrated hands on experience in one or more of the following: o Core IaaS: Compute, Storage, Networking, High Availability o Data Platform and Bigdata: SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Azure Stream Analytics, Azure Data Factory / Data Bricks o Azure PaaS Services: Redis Cache, Service Bus, Event Hub, Cloud Service, IoT suite, Mobile Apps, etc. o Identity and Authentication: SSO/Federation, AD/Azure AD, ADFS, etc. o Preferred but not required: Cosmos DB, Azure Kubernetes Service o Experience in one or more automation languages (PowerShell, Python, C#, Open Source) Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. Responsibilities • Technical Oriented - o Utilizes engineering tools, customer telemetry and direct input. Flags the patterns of defects/signals in the products or issues across customers. Inform customers and partners about the complex thematic active issues, progress made on them, and discuss next steps. o Synthesizes feedback from customers and partners to learn about the product usage and identify and resolve feature and knowledge gaps and key performance indicators (KPIs) in the current product. Leads team in sharing insights and best practices with customers and partners on these service improvements. Recommends changes to content improvement or troubleshooting guides and develops metrics to evaluate the changes • Customer Solution Lifecycle Management - o Utilizes cross systems to conduct health checks to ensure customer environment (e.g., product, service, feature) is optimized and configured for deployment. Provides guidance to customers on understanding and implementing new versions. Serves as a connecting point between the engineering team and customers throughout the solution's lifecycle. Utilizes any resources to respond and resolve the immediate issues throughout the solution lifecycle. Proactively provides guidance to customers on designing configurations and deploying solutions on Microsoft platforms. o Handles complex escalations on customer issues from the support or field teams. Conducts impact analysis to determine the priority of the escalations. Conducts deep root cause analysis of the issues and converts them into improvement opportunities. Serves as an escalation resource in areas of subject matter expertise. Represents the team on highly complex issues and answers a large variety of technical questions and concerns. • Relationship/Experience Management - o Acts as a voice of customers and leverages customers feedback to provide input on business plans developed by the relevant product and business groups. Identifies customer usage patterns and driving resolutions on reoccurring customer issues with engineering and product and business groups. Leads their team in engaging with feature and product groups on redesign/customer requested changes for Microsoft products. Closes the loop of feedback with the customers on product features. o Partners with other teams (e.g., program managers, software engineers, product, customer service support CSS teams) to prioritize and drive resolutions of complex, high-impact customer issues and integration of customer features into the products. Leads discussions with stakeholders on customer progression and provides expertise on resolutions plans for common types of customer issues. Proactively communicates the translation of signals into actionable insights/trends to product teams to improve service reliability. Leads coordination with stakeholders (e.g., engineering/product teams) to develop mechanisms that improve customer health engagement and reduce the turnover time. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. Industry leading healthcare Educational resources Discounts on products and services Savings and investments Maternity and paternity leave Generous time away Giving programs Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations .
Apr 18, 2024
Full time
With over 18,000 employees worldwide, the Microsoft Customer Experience & Success (CE&S) organization is responsible for the strategy, design, and implementation of Microsoft's end-to-end customer experience. Come join CE&S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide a differentiated and connected customer experience. The Global Customer Success (GCS) organization is leading the effort to create the desired customer experience through support offer creation, driving digital transformation across our tools, and delivering operational excellence across CE&S. Would you like to join one of the fastest-growing teams within Microsoft Azure Engineering? Are you constantly customer-obsessed, and focused on enhancing customer experience? Are you passionate about cloud computing and love the challenge of solving the most complex technical problems? Come join us and surround yourself with people who are passionate about cloud computing and believe that extraordinary support is critical to customer success. We are Azure Customer Experience Engineering - a global Azure Engineering Support organization (part of Azure Customer Experience group) that is customer-obsessed, and support engaged, with an engineering mindset. As an Azure Customer Experience Engineer, you are the primary support and engineering contact accountable for the customer's Azure support experience driving resolution of complex critical problems and supporting key customer projects on Azure. You will also act as the voice of the customer within Azure to escalate problems and to drive prioritization of platform/support improvement needs for customers. In this role, you will work together with field teams (Customer Success Account Managers, Cloud Solution Architects, Support Escalation Engineers) and Azure engineering teams with our mission to turn Azure customers into fans with a world-class engineering-led support experience. This role is flexible in that you can work up to 100% from home. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications • Experience: Demonstrated IT experience supporting and troubleshooting enterprise level, mission-critical applications resolving highly complex issues/situations and driving technical resolution across cross-functional organizations. Substantial cloud experience. • Excellent Communication: Must have the ability to empathize with customers and convey confidence. Able to explain highly technical issues to varied audiences. Able to prioritize and advocate customer's needs to the proper channels. Take ownership and work towards a resolution. • Customer Obsession: Passion for customers and focus on delivering the right customer experience. • Growth Mindset: Openness and ability to learn new skills and technologies in a fast-paced environment. • Technical Skills: Some understanding of cloud computing technologies. Optionally, demonstrated hands on experience in one or more of the following: o Core IaaS: Compute, Storage, Networking, High Availability o Data Platform and Bigdata: SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Azure Stream Analytics, Azure Data Factory / Data Bricks o Azure PaaS Services: Redis Cache, Service Bus, Event Hub, Cloud Service, IoT suite, Mobile Apps, etc. o Identity and Authentication: SSO/Federation, AD/Azure AD, ADFS, etc. o Preferred but not required: Cosmos DB, Azure Kubernetes Service o Experience in one or more automation languages (PowerShell, Python, C#, Open Source) Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. Responsibilities • Technical Oriented - o Utilizes engineering tools, customer telemetry and direct input. Flags the patterns of defects/signals in the products or issues across customers. Inform customers and partners about the complex thematic active issues, progress made on them, and discuss next steps. o Synthesizes feedback from customers and partners to learn about the product usage and identify and resolve feature and knowledge gaps and key performance indicators (KPIs) in the current product. Leads team in sharing insights and best practices with customers and partners on these service improvements. Recommends changes to content improvement or troubleshooting guides and develops metrics to evaluate the changes • Customer Solution Lifecycle Management - o Utilizes cross systems to conduct health checks to ensure customer environment (e.g., product, service, feature) is optimized and configured for deployment. Provides guidance to customers on understanding and implementing new versions. Serves as a connecting point between the engineering team and customers throughout the solution's lifecycle. Utilizes any resources to respond and resolve the immediate issues throughout the solution lifecycle. Proactively provides guidance to customers on designing configurations and deploying solutions on Microsoft platforms. o Handles complex escalations on customer issues from the support or field teams. Conducts impact analysis to determine the priority of the escalations. Conducts deep root cause analysis of the issues and converts them into improvement opportunities. Serves as an escalation resource in areas of subject matter expertise. Represents the team on highly complex issues and answers a large variety of technical questions and concerns. • Relationship/Experience Management - o Acts as a voice of customers and leverages customers feedback to provide input on business plans developed by the relevant product and business groups. Identifies customer usage patterns and driving resolutions on reoccurring customer issues with engineering and product and business groups. Leads their team in engaging with feature and product groups on redesign/customer requested changes for Microsoft products. Closes the loop of feedback with the customers on product features. o Partners with other teams (e.g., program managers, software engineers, product, customer service support CSS teams) to prioritize and drive resolutions of complex, high-impact customer issues and integration of customer features into the products. Leads discussions with stakeholders on customer progression and provides expertise on resolutions plans for common types of customer issues. Proactively communicates the translation of signals into actionable insights/trends to product teams to improve service reliability. Leads coordination with stakeholders (e.g., engineering/product teams) to develop mechanisms that improve customer health engagement and reduce the turnover time. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. Industry leading healthcare Educational resources Discounts on products and services Savings and investments Maternity and paternity leave Generous time away Giving programs Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations .
We're Synechron, a global consultancy Laser-focused on accelerating digital initiatives in financial services with over 14,500 members of staff across 19 countries and a unique mix of end-to-end digital, business and technology services, we help clients solve complex challenges with modern and innovative solutions. Our clients come to us with problems that need genuine thought, intelligence and knowledge; we're not just putting bodies on seats. Why Work for Synechron!? We have stunning 7th floor offices in London's city, close to Liverpool Street and Moorgate train stations. We're a stone's throw from the Bank of England and a number of bars and restaurants, 5-minute walk from St Pauls Cathedral and shopping Centre. The office features a roof terrace with comfortable chairs and tables and you can enjoy our rather popular coffee machine, teas, biscuits, cans of drinks etc. One of our longest standing and largest clients are seeking a highly skilled and motivated Mainframe Assembler Developer . Job requirements To ensure successful delivery by being a team member of the software project team. The responsibilities include activities described in the software project life cycle. This would entail areas such as: Requirement analysis: Analyse the requirements. Design: Develop/review the technical design. Coding: Analyse and develop code as per specifications. Reviews: Conduct review of design/code/test plan and test results Testing: Prepare unit test plans, Conduct unit testing Support: Provide post development support. Communication: Must possess excellent written and verbal communication skills. Self Sufficiency/Initiative: Demonstrate self-sufficiency on the role, combined with an initiative to resolve errors and provide solutions that attack the root cause of the problem. Mandatory Skills: Assembler Programs & ZO/S: Strong understanding of Assembler programs. Strong reverse engineering (experience on ASM -> Cobol or some other modern language conversion) skill. Strong understanding of Assembler macros. File handling sequential and VSAM using Assembler. Assembler interactive debugging skills (xpediter or similar tool) . Job Control Language (JCL) - IN Stream & Catalogue Procedures, Control Cards, SDFS (Spool), SPICE, SAR & MVS JCL Utilities Additional Skills: Cobol Programs & ZO/S: Strong understanding of Cobol Programs (working storage, copy books & sub routines) and Z/OS concepts including Mainframe utilities. Hands on knowledge on Restartable programs. CICS - Hands on with writing CICS programs in linkage with Front End Systems, Testing these programs and T'shoot any issues. Note - Core CICS knowledge to build screens is NOT needed. DB2 (SQL): Strong understanding of relational database concepts and advanced SQL, including SQL Error Codes TSO, ISPF - Hands on Knowledge Hands on Knowledge on REXX, EZYTRIEVE & SELCOPY Tools - Endevor, File Manager, Road Runner, Fault Analyser, R2DS, RDz, RTC, SONAR, Jenkins You will be expected to work from the Clients or Synechron's office 3 days a week. Synechron's Diversity Statement Synechron are proud to be an equal opportunity employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Apr 18, 2024
We're Synechron, a global consultancy Laser-focused on accelerating digital initiatives in financial services with over 14,500 members of staff across 19 countries and a unique mix of end-to-end digital, business and technology services, we help clients solve complex challenges with modern and innovative solutions. Our clients come to us with problems that need genuine thought, intelligence and knowledge; we're not just putting bodies on seats. Why Work for Synechron!? We have stunning 7th floor offices in London's city, close to Liverpool Street and Moorgate train stations. We're a stone's throw from the Bank of England and a number of bars and restaurants, 5-minute walk from St Pauls Cathedral and shopping Centre. The office features a roof terrace with comfortable chairs and tables and you can enjoy our rather popular coffee machine, teas, biscuits, cans of drinks etc. One of our longest standing and largest clients are seeking a highly skilled and motivated Mainframe Assembler Developer . Job requirements To ensure successful delivery by being a team member of the software project team. The responsibilities include activities described in the software project life cycle. This would entail areas such as: Requirement analysis: Analyse the requirements. Design: Develop/review the technical design. Coding: Analyse and develop code as per specifications. Reviews: Conduct review of design/code/test plan and test results Testing: Prepare unit test plans, Conduct unit testing Support: Provide post development support. Communication: Must possess excellent written and verbal communication skills. Self Sufficiency/Initiative: Demonstrate self-sufficiency on the role, combined with an initiative to resolve errors and provide solutions that attack the root cause of the problem. Mandatory Skills: Assembler Programs & ZO/S: Strong understanding of Assembler programs. Strong reverse engineering (experience on ASM -> Cobol or some other modern language conversion) skill. Strong understanding of Assembler macros. File handling sequential and VSAM using Assembler. Assembler interactive debugging skills (xpediter or similar tool) . Job Control Language (JCL) - IN Stream & Catalogue Procedures, Control Cards, SDFS (Spool), SPICE, SAR & MVS JCL Utilities Additional Skills: Cobol Programs & ZO/S: Strong understanding of Cobol Programs (working storage, copy books & sub routines) and Z/OS concepts including Mainframe utilities. Hands on knowledge on Restartable programs. CICS - Hands on with writing CICS programs in linkage with Front End Systems, Testing these programs and T'shoot any issues. Note - Core CICS knowledge to build screens is NOT needed. DB2 (SQL): Strong understanding of relational database concepts and advanced SQL, including SQL Error Codes TSO, ISPF - Hands on Knowledge Hands on Knowledge on REXX, EZYTRIEVE & SELCOPY Tools - Endevor, File Manager, Road Runner, Fault Analyser, R2DS, RDz, RTC, SONAR, Jenkins You will be expected to work from the Clients or Synechron's office 3 days a week. Synechron's Diversity Statement Synechron are proud to be an equal opportunity employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Service Service Employment Agency Limited
Norwich, Norfolk
THIS IS AN OFFICE-BASED ROLE A BRAND NEW OPPORTUNITY has arisen for a Software Engineer to join a niche-market engineering organisation in Norwich. As part of the software team you will provide software design and development expertise to multi-disciplinary project groups in a dynamic working environment. You will apply your software engineering skills to support the development of the organisation's range of highly technical and exciting products. Essential requirements: Experience of full life-cycle development of embedded software from requirements definition to product delivery, including documentation, design reviews, test/integration and commissioning. Experience of working with Linux on X86 architecture. Experience of programming in C/C++. Willingness to take responsibility for key areas of system through requirement capture to end product delivery. Ability to meet demanding technical and commercial requirements with minimal supervision. Desirable: Experience of working in the following areas: Real Time Software development Device driver development Human Machine Interface (HMI) development/configuration and control Video stream processing/manipulation Experience of design methods and tools (UML/Enterprise Architect). Experience of Texas Instruments micro-controllers & Code Composer IDE. Experience of developing applications using Qt.
Apr 18, 2024
Full time
THIS IS AN OFFICE-BASED ROLE A BRAND NEW OPPORTUNITY has arisen for a Software Engineer to join a niche-market engineering organisation in Norwich. As part of the software team you will provide software design and development expertise to multi-disciplinary project groups in a dynamic working environment. You will apply your software engineering skills to support the development of the organisation's range of highly technical and exciting products. Essential requirements: Experience of full life-cycle development of embedded software from requirements definition to product delivery, including documentation, design reviews, test/integration and commissioning. Experience of working with Linux on X86 architecture. Experience of programming in C/C++. Willingness to take responsibility for key areas of system through requirement capture to end product delivery. Ability to meet demanding technical and commercial requirements with minimal supervision. Desirable: Experience of working in the following areas: Real Time Software development Device driver development Human Machine Interface (HMI) development/configuration and control Video stream processing/manipulation Experience of design methods and tools (UML/Enterprise Architect). Experience of Texas Instruments micro-controllers & Code Composer IDE. Experience of developing applications using Qt.
ROLE SUMMARY The Enterprise Platforms & Security (EP&S) organization delivers the following capabilities for Pfizer. Business application platforms supporting Pfizer's enterprise application and critical business processes. Infrastructure allowing business traffic to travel where it needs to go, internally and externally, along with the appropriate access controls. EP&S secures Pfizer's most important information assets through world class controls and protections and enables Pfizer's business results by making security an enabler and not a roadblock to achieving business results. The Manager Data Engineering Lead is responsible for the development and end-to-end technical hands-on management of the Data Engineering process within the Enterprise Platform and Security Analytics function. This is a hands-on data engineering role which primarily supports our large-scale analytics ecosystem powered by AWS and Splunk. Its scope includes a wide range of highly transactional platforms and cybersecurity data sources with diverse collection points and complicated collection methods. Ensuring data reliability, efficiency, and quality is core to this role. For Pfizer, we look for candidates that are motivated, self-learning, and team-oriented individuals. From a technical perspective, an ideal candidate would have the skills shown below, but candidates that possess a strong subset and an attitude towards self-development and growth will be considered. ROLE RESPONSIBILITIES Design, manage, and troubleshoot complex large-scale data engineering methods within a hybrid on premise and cloud hosted environments. Utilize vendor apps and develop custom app configurations to standardize and normalize diverse data source types. Develop and maintain service patterns used for the data engineering process and data collection methods. Partner with internal and external teams to implement solutions which improve data engineering processes and enable automated and/or self-service data onboarding. Collaborate with the Service Manager, Data Stewards, and customers to support and prioritize business requirements. Support the Data Management Lifecycle engineering processes from inception and design through deployment, operation, and optimization. Ensure documentation details the methods to collect, triage and backfill data feeds to support monitoring and data resiliency. Proactively, continuously assess and identify opportunities to better maintain and reduce ingestion volume. Manage technical work activities of contingent worker resources to engineer data and ensure procedures and standards are adhered to. Ensure high data reliability, efficiency, and quality standards are maintained and continuously improve engineering practices and processes. Support 24x7 oversight of Business as Usual (BAU) operations, along with continual monitoring of the service for quality levels, and response to outages or performance issues with a sense of urgency. Participate in incident, problem, and change management processes. QUALIFICATIONS Bachelor's degree in Computer Science or physical sciences, Master's degree preferred. Robust experience in a hands-on data engineering role. Flexible to changing priorities and comfortable in a fast-passed dynamic environment. Superior analytical and creative problem-solving skills. Demonstrate successes in analysis, conclusions, and improvement. Strong problem-solving abilities with an analytic and qualitative eye for reasoning under pressure. Self-starter with the ability to independently prioritize and complete multiple tasks with little to no supervision. Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc). Experience in designing, developing, and implementing advanced data collection methods, sizing for data storage, index strategies, ingesting/indexing processes, transforming/normalizing data to common standards, data enrichment and/or anonymization of data upon ingest. Can showcase experience with Unix/Linux operating system. PREFERRED QUALIFICATIONS Robust hands-on experience in implementation and performance tuning of Kinesis, Kafka, Spark or similar implementations. Strong familiarity with data engineering in Splunk Experience Implementing AWS automation services and process build to create syslog and HEC ingestion into AWS for processing and optimized data flow. Extensive experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies Experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis) Experience transforming large datasets into consumable assets for self-service analytics and reporting. Familiar with Machine learning concepts.
Apr 18, 2024
Full time
ROLE SUMMARY The Enterprise Platforms & Security (EP&S) organization delivers the following capabilities for Pfizer. Business application platforms supporting Pfizer's enterprise application and critical business processes. Infrastructure allowing business traffic to travel where it needs to go, internally and externally, along with the appropriate access controls. EP&S secures Pfizer's most important information assets through world class controls and protections and enables Pfizer's business results by making security an enabler and not a roadblock to achieving business results. The Manager Data Engineering Lead is responsible for the development and end-to-end technical hands-on management of the Data Engineering process within the Enterprise Platform and Security Analytics function. This is a hands-on data engineering role which primarily supports our large-scale analytics ecosystem powered by AWS and Splunk. Its scope includes a wide range of highly transactional platforms and cybersecurity data sources with diverse collection points and complicated collection methods. Ensuring data reliability, efficiency, and quality is core to this role. For Pfizer, we look for candidates that are motivated, self-learning, and team-oriented individuals. From a technical perspective, an ideal candidate would have the skills shown below, but candidates that possess a strong subset and an attitude towards self-development and growth will be considered. ROLE RESPONSIBILITIES Design, manage, and troubleshoot complex large-scale data engineering methods within a hybrid on premise and cloud hosted environments. Utilize vendor apps and develop custom app configurations to standardize and normalize diverse data source types. Develop and maintain service patterns used for the data engineering process and data collection methods. Partner with internal and external teams to implement solutions which improve data engineering processes and enable automated and/or self-service data onboarding. Collaborate with the Service Manager, Data Stewards, and customers to support and prioritize business requirements. Support the Data Management Lifecycle engineering processes from inception and design through deployment, operation, and optimization. Ensure documentation details the methods to collect, triage and backfill data feeds to support monitoring and data resiliency. Proactively, continuously assess and identify opportunities to better maintain and reduce ingestion volume. Manage technical work activities of contingent worker resources to engineer data and ensure procedures and standards are adhered to. Ensure high data reliability, efficiency, and quality standards are maintained and continuously improve engineering practices and processes. Support 24x7 oversight of Business as Usual (BAU) operations, along with continual monitoring of the service for quality levels, and response to outages or performance issues with a sense of urgency. Participate in incident, problem, and change management processes. QUALIFICATIONS Bachelor's degree in Computer Science or physical sciences, Master's degree preferred. Robust experience in a hands-on data engineering role. Flexible to changing priorities and comfortable in a fast-passed dynamic environment. Superior analytical and creative problem-solving skills. Demonstrate successes in analysis, conclusions, and improvement. Strong problem-solving abilities with an analytic and qualitative eye for reasoning under pressure. Self-starter with the ability to independently prioritize and complete multiple tasks with little to no supervision. Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc). Experience in designing, developing, and implementing advanced data collection methods, sizing for data storage, index strategies, ingesting/indexing processes, transforming/normalizing data to common standards, data enrichment and/or anonymization of data upon ingest. Can showcase experience with Unix/Linux operating system. PREFERRED QUALIFICATIONS Robust hands-on experience in implementation and performance tuning of Kinesis, Kafka, Spark or similar implementations. Strong familiarity with data engineering in Splunk Experience Implementing AWS automation services and process build to create syslog and HEC ingestion into AWS for processing and optimized data flow. Extensive experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies Experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis) Experience transforming large datasets into consumable assets for self-service analytics and reporting. Familiar with Machine learning concepts.
End Date Thursday 25 April 2024 Salary Range £86,964 - £158,581 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working Job Description Summary . Job Description JOB TITLE :Streaming Injestion Engineer SALARY : £85,255 - £100,300 LOCATION : Manchester HOURS : Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Our team We're the Data Movement Lab building and managing the future centralised nervous system, using the power of our existing batch technologies centred on IBM s Infosphere DataStage stack, alongside our emerging cloud strategy and streaming analytics capability to get closer to our customers. This will be the backbone of our Event data processing hub. Our goal is to democratise Lloyds Bank s dataset. We re currently supporting 1 000 s of processes across the Bank, acting as the Enterprise Data Integration function within the Bank for Retail, Insurance, Risk, Fraud, Customer Insight, Commercial and Corporate businesses. Core Purpose of the role Our team is looking for a hardworking and adaptable Lead Engineer with depth of knowledge in the Data Domain. A technical leader with data engineering expertise, a growth mind-set and a dedication to technical leadership. As an engineering lead for the Lab, you will lead a large and diverse agile engineering teams, building pipelines patterns and frameworks that enable data to be efficiently and effectively processed at scale. You will work alongside the Product Owner in the development of technical roadmaps supporting the strategy of the Products and Services, ensuring that engineers capabilities are aligned to the plans. As a key member of our agile development community, you'll evolve our data capabilities whilst embracing the best industry standards. What you ll be involved in Work hand-in-hand with your Product Owner counterpart in a 'two-in-a-box' model to jointly lead the Lab team providing a great value proposition to your stakeholders from across the company. Lead a multi-disciplinary team by blending both deep domain and technical expertise across a number of component and feature teams who build, deploy and maintain capabilities and services enabling earlier value release for our customers. Within the framing of a reference architecture and strategy, set the technical direction and roadmap for the Lab, ensuring software is built consistently using relevant patterns and these patterns and practices are propagated across the wider community. Ensure all Engineering work in the Lab is carried out in line with the Bank standards and that teams are aware of, make decisions within and assist in the implementation and operation of the security, cyber, risk and control management framework. Be part of the broader Data & Machine Learning engineering leadership team driving and supporting initiatives outside the core Lab and Platform as part of the leadership and engineering community Hire and grow engineering talent as well as coaching and mentoring colleagues to enable them to reach their full potential. Essential skills and experience: Strength in collaboration as Data & Machine Learning Platform requires its Labs and Programmes to collaborate in building end-to-end Data products and services across LBG; so, collaboration needs to be a key part of your DNA. An experienced technical leader, able to inspire and encourage the best from their teams, with a passion for coaching and mentoring of less experienced software engineers. Able to show capability to change, evolve and to learn new tools and techniques and help and encourage others to do likewise. Expertise in proto-typing, building, deploying, and maintaining large scale data solutions. Extensive software engineering background with one or more programming languages in a complex technology environment Technical know-how of ETL Tooling and Streaming and how they fit with cloud technologies experience and delivering data engineering solutions. Experience in end-to-end delivery of software products using Agile and DevOps, with capabilities such as GitHub, Jenkins and UrbanCode methodologies, demonstrating engineering excellence and a passion for automation Additionally, data domain technology experience including: Database technology such as Teradata, Oracle, Hadoop, DB2 and familiarity with NoSQL databases such as Cassandra and HBase Expertise in Container & Virtualization/Hypervisor technologies such as K8,firecracker/gVisor/ cloud hypervisor/kata-containers Expertise in Cloud Native technologies including networking & security is a plus Experience with Linux kernel technologies such as kernel modules, cgroups/namespaces, eBPF, XDP, etc Excellent experience in at least one programming language: Java, Scala, Python, GO Expertise in Language Runtimes / VMs (JVM/WASM, etc Why Lloyds Banking Group Like the modern Britain we serve, we re evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We re growing with purpose. Join us on our journey and you will too. About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it s why we especially welcome applications from under-represented groups. We re disability confident. So if you d like reasonable adjustments to be made to our recruitment processes, just let us know We also offer a wide-ranging benefits package, which includes: A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Want to do amazing work, that s interesting and makes a difference to millions of people? Join our journey. At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Apr 18, 2024
Full time
End Date Thursday 25 April 2024 Salary Range £86,964 - £158,581 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working Job Description Summary . Job Description JOB TITLE :Streaming Injestion Engineer SALARY : £85,255 - £100,300 LOCATION : Manchester HOURS : Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Our team We're the Data Movement Lab building and managing the future centralised nervous system, using the power of our existing batch technologies centred on IBM s Infosphere DataStage stack, alongside our emerging cloud strategy and streaming analytics capability to get closer to our customers. This will be the backbone of our Event data processing hub. Our goal is to democratise Lloyds Bank s dataset. We re currently supporting 1 000 s of processes across the Bank, acting as the Enterprise Data Integration function within the Bank for Retail, Insurance, Risk, Fraud, Customer Insight, Commercial and Corporate businesses. Core Purpose of the role Our team is looking for a hardworking and adaptable Lead Engineer with depth of knowledge in the Data Domain. A technical leader with data engineering expertise, a growth mind-set and a dedication to technical leadership. As an engineering lead for the Lab, you will lead a large and diverse agile engineering teams, building pipelines patterns and frameworks that enable data to be efficiently and effectively processed at scale. You will work alongside the Product Owner in the development of technical roadmaps supporting the strategy of the Products and Services, ensuring that engineers capabilities are aligned to the plans. As a key member of our agile development community, you'll evolve our data capabilities whilst embracing the best industry standards. What you ll be involved in Work hand-in-hand with your Product Owner counterpart in a 'two-in-a-box' model to jointly lead the Lab team providing a great value proposition to your stakeholders from across the company. Lead a multi-disciplinary team by blending both deep domain and technical expertise across a number of component and feature teams who build, deploy and maintain capabilities and services enabling earlier value release for our customers. Within the framing of a reference architecture and strategy, set the technical direction and roadmap for the Lab, ensuring software is built consistently using relevant patterns and these patterns and practices are propagated across the wider community. Ensure all Engineering work in the Lab is carried out in line with the Bank standards and that teams are aware of, make decisions within and assist in the implementation and operation of the security, cyber, risk and control management framework. Be part of the broader Data & Machine Learning engineering leadership team driving and supporting initiatives outside the core Lab and Platform as part of the leadership and engineering community Hire and grow engineering talent as well as coaching and mentoring colleagues to enable them to reach their full potential. Essential skills and experience: Strength in collaboration as Data & Machine Learning Platform requires its Labs and Programmes to collaborate in building end-to-end Data products and services across LBG; so, collaboration needs to be a key part of your DNA. An experienced technical leader, able to inspire and encourage the best from their teams, with a passion for coaching and mentoring of less experienced software engineers. Able to show capability to change, evolve and to learn new tools and techniques and help and encourage others to do likewise. Expertise in proto-typing, building, deploying, and maintaining large scale data solutions. Extensive software engineering background with one or more programming languages in a complex technology environment Technical know-how of ETL Tooling and Streaming and how they fit with cloud technologies experience and delivering data engineering solutions. Experience in end-to-end delivery of software products using Agile and DevOps, with capabilities such as GitHub, Jenkins and UrbanCode methodologies, demonstrating engineering excellence and a passion for automation Additionally, data domain technology experience including: Database technology such as Teradata, Oracle, Hadoop, DB2 and familiarity with NoSQL databases such as Cassandra and HBase Expertise in Container & Virtualization/Hypervisor technologies such as K8,firecracker/gVisor/ cloud hypervisor/kata-containers Expertise in Cloud Native technologies including networking & security is a plus Experience with Linux kernel technologies such as kernel modules, cgroups/namespaces, eBPF, XDP, etc Excellent experience in at least one programming language: Java, Scala, Python, GO Expertise in Language Runtimes / VMs (JVM/WASM, etc Why Lloyds Banking Group Like the modern Britain we serve, we re evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We re growing with purpose. Join us on our journey and you will too. About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it s why we especially welcome applications from under-represented groups. We re disability confident. So if you d like reasonable adjustments to be made to our recruitment processes, just let us know We also offer a wide-ranging benefits package, which includes: A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Want to do amazing work, that s interesting and makes a difference to millions of people? Join our journey. At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
End Date Thursday 25 April 2024 Salary Range £86,964 - £158,581 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working Job Description Summary . Job Description JOB TITLE :Data Virtualisation Engineer SALARY : £85,255 - £100,300 LOCATION : Manchester HOURS : Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Our team We're the Data Movement Lab building and managing the future centralised nervous system, using the power of our existing batch technologies centred on IBM s Infosphere DataStage stack, alongside our emerging cloud strategy and streaming analytics capability to get closer to our customers. This will be the backbone of our Event data processing hub. Our goal is to democratise Lloyds Bank s dataset. We re currently supporting 1 000 s of processes across the Bank, acting as the Enterprise Data Integration function within the Bank for Retail, Insurance, Risk, Fraud, Customer Insight, Commercial and Corporate businesses. Above all, we re a family friendly organisation who focus on delivery, not time at your desk. A mature, flexible work environment, flexible start/finish hours and agile working practices. We care about your mental health and want to enable a good work-life balance. What you ll be involved in: Work hand-in-hand with your Product Owner counterpart in a 'two-in-a-box' model to jointly lead the Lab team providing a great value proposition to your stakeholders from across the company. Lead a multi-disciplinary team by blending both deep domain and technical expertise across a number of component and feature teams who build, deploy and maintain capabilities and services enabling earlier value release for our customers. Within the framing of a reference architecture and strategy, set the technical direction and roadmap for the Lab, ensuring software is built consistently using relevant patterns and these patterns and practices are propagated across the wider community. Ensure all Engineering work in the Lab is carried out in line with the Bank standards and that teams are aware of, make decisions within and assist in the implementation and operation of the security, cyber, risk and control management framework. Be part of the broader Data & Machine Learning engineering leadership team driving and supporting initiatives outside the core Lab and Platform as part of the leadership and engineering community Hire and grow engineering talent as well as coaching and mentoring colleagues to enable them to reach their full potential. Essential skills and experience: Strength in collaboration as Data & Machine Learning Platform requires its Labs and Programmes to collaborate in building end-to-end Data products and services across LBG; so, collaboration needs to be a key part of your DNA. An experienced technical leader, able to inspire and encourage the best from their teams, with a passion for coaching and mentoring of less experienced software engineers. Able to show capability to change, evolve and to learn new tools and techniques and help and encourage others to do likewise. Expertise in proto-typing, building, deploying, and maintaining large scale data solutions. Extensive software engineering background with one or more programming languages in a complex technology environment Technical know-how of ETL Tooling and Streaming and how they fit with cloud technologies experience and delivering data engineering solutions. Experience in end-to-end delivery of software products using Agile and DevOps, with capabilities such as GitHub, Jenkins and UrbanCode methodologies, demonstrating engineering excellence and a passion for automation Additionally, data domain technology experience including: Teradata, Oracle, Hadoop, DB2 and familiarity with NoSQL databases such as Cassandra and HBase Expertise in Cloud Native technologies including networking & security is a plus Understanding how to integrate data from disparate sources including databases, APIs, flat files and cloud services into a virtualized environment. Strong SQL skills are beneficial to support business use cases for querying and manipulating data within virtualized environments. Knowledge of ETL processes and tools to extract data from various sources, transform it as needed, and load it into the virtualized environment. Excellent experience in at least one programming language: Java, Scala, Python, G Why Lloyds Banking Group Like the modern Britain we serve, we re evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We re growing with purpose. Join us on our journey and you will too. About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it s why we especially welcome applications from under-represented groups. We re disability confident. So if you d like reasonable adjustments to be made to our recruitment processes, just let us know We also offer a wide-ranging benefits package, which includes: A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Want to do amazing work, that s interesting and makes a difference to millions of people? Join our journey. At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Apr 18, 2024
Full time
End Date Thursday 25 April 2024 Salary Range £86,964 - £158,581 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working Job Description Summary . Job Description JOB TITLE :Data Virtualisation Engineer SALARY : £85,255 - £100,300 LOCATION : Manchester HOURS : Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Our team We're the Data Movement Lab building and managing the future centralised nervous system, using the power of our existing batch technologies centred on IBM s Infosphere DataStage stack, alongside our emerging cloud strategy and streaming analytics capability to get closer to our customers. This will be the backbone of our Event data processing hub. Our goal is to democratise Lloyds Bank s dataset. We re currently supporting 1 000 s of processes across the Bank, acting as the Enterprise Data Integration function within the Bank for Retail, Insurance, Risk, Fraud, Customer Insight, Commercial and Corporate businesses. Above all, we re a family friendly organisation who focus on delivery, not time at your desk. A mature, flexible work environment, flexible start/finish hours and agile working practices. We care about your mental health and want to enable a good work-life balance. What you ll be involved in: Work hand-in-hand with your Product Owner counterpart in a 'two-in-a-box' model to jointly lead the Lab team providing a great value proposition to your stakeholders from across the company. Lead a multi-disciplinary team by blending both deep domain and technical expertise across a number of component and feature teams who build, deploy and maintain capabilities and services enabling earlier value release for our customers. Within the framing of a reference architecture and strategy, set the technical direction and roadmap for the Lab, ensuring software is built consistently using relevant patterns and these patterns and practices are propagated across the wider community. Ensure all Engineering work in the Lab is carried out in line with the Bank standards and that teams are aware of, make decisions within and assist in the implementation and operation of the security, cyber, risk and control management framework. Be part of the broader Data & Machine Learning engineering leadership team driving and supporting initiatives outside the core Lab and Platform as part of the leadership and engineering community Hire and grow engineering talent as well as coaching and mentoring colleagues to enable them to reach their full potential. Essential skills and experience: Strength in collaboration as Data & Machine Learning Platform requires its Labs and Programmes to collaborate in building end-to-end Data products and services across LBG; so, collaboration needs to be a key part of your DNA. An experienced technical leader, able to inspire and encourage the best from their teams, with a passion for coaching and mentoring of less experienced software engineers. Able to show capability to change, evolve and to learn new tools and techniques and help and encourage others to do likewise. Expertise in proto-typing, building, deploying, and maintaining large scale data solutions. Extensive software engineering background with one or more programming languages in a complex technology environment Technical know-how of ETL Tooling and Streaming and how they fit with cloud technologies experience and delivering data engineering solutions. Experience in end-to-end delivery of software products using Agile and DevOps, with capabilities such as GitHub, Jenkins and UrbanCode methodologies, demonstrating engineering excellence and a passion for automation Additionally, data domain technology experience including: Teradata, Oracle, Hadoop, DB2 and familiarity with NoSQL databases such as Cassandra and HBase Expertise in Cloud Native technologies including networking & security is a plus Understanding how to integrate data from disparate sources including databases, APIs, flat files and cloud services into a virtualized environment. Strong SQL skills are beneficial to support business use cases for querying and manipulating data within virtualized environments. Knowledge of ETL processes and tools to extract data from various sources, transform it as needed, and load it into the virtualized environment. Excellent experience in at least one programming language: Java, Scala, Python, G Why Lloyds Banking Group Like the modern Britain we serve, we re evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We re growing with purpose. Join us on our journey and you will too. About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it s why we especially welcome applications from under-represented groups. We re disability confident. So if you d like reasonable adjustments to be made to our recruitment processes, just let us know We also offer a wide-ranging benefits package, which includes: A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Want to do amazing work, that s interesting and makes a difference to millions of people? Join our journey. At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
JOB DESCRIPTION Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Technology Finance Regulatory Reporting Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software Development Life Cycle Takes ownership for working with stakeholders from multiple lines of business and other technology collaborates to understand and refine requirements, influencing senior stakeholders to make the right decisions and delivering a top quality product. Adds to the team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience delivering production changes to complex, ever changing software solutions using PL/SQL while optimizing for performance Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Preferred qualifications, capabilities, and skills In depth knowledge of the financial services industry, ideally with experience in Regulatory Reporting domains Knowledge of Axiom Regulatory Reporting platform is a plus ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Apr 18, 2024
Full time
JOB DESCRIPTION Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Technology Finance Regulatory Reporting Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software Development Life Cycle Takes ownership for working with stakeholders from multiple lines of business and other technology collaborates to understand and refine requirements, influencing senior stakeholders to make the right decisions and delivering a top quality product. Adds to the team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience delivering production changes to complex, ever changing software solutions using PL/SQL while optimizing for performance Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Preferred qualifications, capabilities, and skills In depth knowledge of the financial services industry, ideally with experience in Regulatory Reporting domains Knowledge of Axiom Regulatory Reporting platform is a plus ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
The Impact You'll Make With treatments for hundreds of diseases in our sights, we've built a data science team with domain expertise in computer science, bioinformatics, physics, biology, mathematics, applied statistics, and more. We work side-by-side with biologists, automation scientists, chemists, software engineers, and many others; together, we develop the tools and methods to turn our experimental data into treatments for pathologies that affect the lives of countless individuals. As a data scientist supporting the development of our industrialized workflows, you'll work with a highly dynamic team that is focused on improving how we move from ideation through to advanced candidate drugs in a way that accelerates decision-making and automates as much as possible to scale the impact that we can have. You'll have access to unbelievable scales of data: we currently run up to 2.2 million experiments run each week, our ground-breaking Phenom-1 foundation model, trained on > 1 billion in-house images, and our maps of biology and chemistry that contain > 5 trillion relationships across multiple biological and chemical contexts. In this role, you will leverage this data as you: Partner with chemists and biologists to understand their processes and the questions that they are asking at each stage of the drug discovery funnel Contribute to the development of LOWE, a natural language interface that connects wet- and dry-lab components of the Recursion OS to streamline drug-discovery tasks Develop methods, metrics, benchmarks, and models to help drive drug discovery in a standardized way. Convert exploratory analysis into production-quality functions that can be incorporated into in-house Python packages and that support at-scale generation of data packages to accelerate decisions on passing programs through internal stage gates. Create and analyze enormous sets of connected data for a variety of programs to learn how best to advance drug discovery in an industrialized way Collaborate with engineering teams to mature your models and analyses and put them into productionized flows Deliver quickly and iteratively, both supporting in-flight programs and building improvements for the long-term in short-lived, agile workstreams Learn to leverage new code packages and data science techniques as needed Location: Making London your home base is ideal, however, we will consider on-site work in our Salt Lake City, Utah or Toronto, Ontario offices as well. The Team You'll Join We are an application-oriented group whose goal is to discover drugs at scale, using the toolkit of computational science in collaboration with our counterparts in other engineering (software and data engineering, laboratory automation), scientific (biology, chemistry, clinical science), and operational (laboratory operations, regulatory affairs) disciplines. We are value-driving - data science at Recursion is not just an accelerating function; it is a core part of our value proposition. As data scientists, we are responsible for showing up as leaders and visionaries, helping to shape how Recursion delivers on our mission. We work on what matters and deliver in timescales of weeks not quarters. We focus on the impact that we are trying to make and the "why" of what we are trying to deliver and are resilient if the "how" of what we are doing needs to change. The Experience You'll Need 3-5+ years practical experience applying probability, statistics, and machine learning to real-world datasets in service of academic or business applications and recommendations. Strong preference for experience in the field of biosciences (particularly pharmaceuticals) or working on projects that require regular cross-disciplinary collaboration. Experience working within a fast-paced interdisciplinary team to solve business-relevant problems and communicating complex concepts and methods to audiences with diverse technical backgrounds. High fluency with the Python data stack (numpy, pandas, scikit-learn, etc). Experience in collaborative data product development and peer code review, including version control tools like git. Experience developing, releasing, and maintaining data products in a continuous-use production environment. Nice to have: experience in creating compelling visualizations of high-dimensional data that enable clear decision-making and interpretation, prompt engineering for LLMs, cheminformatics, OR analysis of RNA sequencing data. How You'll be Supported You will be assigned a peer trail guide to support you as you onboard and get familiar with Recursion systems Receive real-time feedback on code quality and best practices from a team of peers Ability to participate and learn from your colleagues in our regular all-hands, journal club & tech talks for Data Science Option to attend conferences to learn more from colleagues, networks, and more to better your skillset
Apr 18, 2024
Full time
The Impact You'll Make With treatments for hundreds of diseases in our sights, we've built a data science team with domain expertise in computer science, bioinformatics, physics, biology, mathematics, applied statistics, and more. We work side-by-side with biologists, automation scientists, chemists, software engineers, and many others; together, we develop the tools and methods to turn our experimental data into treatments for pathologies that affect the lives of countless individuals. As a data scientist supporting the development of our industrialized workflows, you'll work with a highly dynamic team that is focused on improving how we move from ideation through to advanced candidate drugs in a way that accelerates decision-making and automates as much as possible to scale the impact that we can have. You'll have access to unbelievable scales of data: we currently run up to 2.2 million experiments run each week, our ground-breaking Phenom-1 foundation model, trained on > 1 billion in-house images, and our maps of biology and chemistry that contain > 5 trillion relationships across multiple biological and chemical contexts. In this role, you will leverage this data as you: Partner with chemists and biologists to understand their processes and the questions that they are asking at each stage of the drug discovery funnel Contribute to the development of LOWE, a natural language interface that connects wet- and dry-lab components of the Recursion OS to streamline drug-discovery tasks Develop methods, metrics, benchmarks, and models to help drive drug discovery in a standardized way. Convert exploratory analysis into production-quality functions that can be incorporated into in-house Python packages and that support at-scale generation of data packages to accelerate decisions on passing programs through internal stage gates. Create and analyze enormous sets of connected data for a variety of programs to learn how best to advance drug discovery in an industrialized way Collaborate with engineering teams to mature your models and analyses and put them into productionized flows Deliver quickly and iteratively, both supporting in-flight programs and building improvements for the long-term in short-lived, agile workstreams Learn to leverage new code packages and data science techniques as needed Location: Making London your home base is ideal, however, we will consider on-site work in our Salt Lake City, Utah or Toronto, Ontario offices as well. The Team You'll Join We are an application-oriented group whose goal is to discover drugs at scale, using the toolkit of computational science in collaboration with our counterparts in other engineering (software and data engineering, laboratory automation), scientific (biology, chemistry, clinical science), and operational (laboratory operations, regulatory affairs) disciplines. We are value-driving - data science at Recursion is not just an accelerating function; it is a core part of our value proposition. As data scientists, we are responsible for showing up as leaders and visionaries, helping to shape how Recursion delivers on our mission. We work on what matters and deliver in timescales of weeks not quarters. We focus on the impact that we are trying to make and the "why" of what we are trying to deliver and are resilient if the "how" of what we are doing needs to change. The Experience You'll Need 3-5+ years practical experience applying probability, statistics, and machine learning to real-world datasets in service of academic or business applications and recommendations. Strong preference for experience in the field of biosciences (particularly pharmaceuticals) or working on projects that require regular cross-disciplinary collaboration. Experience working within a fast-paced interdisciplinary team to solve business-relevant problems and communicating complex concepts and methods to audiences with diverse technical backgrounds. High fluency with the Python data stack (numpy, pandas, scikit-learn, etc). Experience in collaborative data product development and peer code review, including version control tools like git. Experience developing, releasing, and maintaining data products in a continuous-use production environment. Nice to have: experience in creating compelling visualizations of high-dimensional data that enable clear decision-making and interpretation, prompt engineering for LLMs, cheminformatics, OR analysis of RNA sequencing data. How You'll be Supported You will be assigned a peer trail guide to support you as you onboard and get familiar with Recursion systems Receive real-time feedback on code quality and best practices from a team of peers Ability to participate and learn from your colleagues in our regular all-hands, journal club & tech talks for Data Science Option to attend conferences to learn more from colleagues, networks, and more to better your skillset
Mid- Senior Software Engineer Technologies: C, C++, Rust Location: Glouchestershire Clearance: High level of clearance required (DV- Developed Vetting) Are you ready to make an impact? This is a new opportunity for a Senior Software Engineer to join a multi disciplined Scrum Team to work on a multi-year transformation programme for our client, developing complex applications in a high assurance environment. What will I be doing? Development of back-end applications using Rust to meet customer requirements/ User Stories. Ensuring all development meets stringent Software, Engineering and Quality standards. Supporting the rest of the team to ensure alignment of requirements/user stories, designs and testing and maintenance of a strict baseline through the sprint process. Triaging and fixing issues and defects. Ensuring good coverage and maintenance of Unit and Component Tests. Operating a CI/CD pipeline to improve efficiency. Utilize industry leading tools like Bitbucket, Jira, and Jenkins to support software development efforts, track work, and automate builds and deployments. Communicate key project data to team members and build team cohesion and effectiveness. Develop/provide input to and execute project plans. Leverage Atlassian tool suite like JIRA and Confluence to track activities. What does Leidos need from me? Extensive proven experience developing in languages like C, C++, Python and Java. Experience of Automated Unit and Component Testing. Experience of CI/CD pipelines. Experience using Git. Experience with static analysis tools e.g. SonarQube, Coverity. Good experience of Agile development methods . Desirable Skills and Experience: Experience developing with Rust (training will be provided if not). Experience of working on secure Government, or MoD IT projects and programmes. Additional: Bachelor's or Master's Degree: A degree in computer science, electrical engineering, or a related field is preferred. Professional membership of BCS or IET Clearance Requirements: Due to the nature of this position, we require you to be eligible to achieve DV clearance. As a result, you should be a British Citizen and have resided in the UK for the last 10 years. Location: Gloucestershire Unleash your talents at Leidos UK! Grow and advance rapidly in your career by letting us challenge you with the world's toughest technical problems. What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: Contributory Pension Scheme Private Medical Insurance 33 days Annual Leave (including public and privilege holidays) Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) Dynamic Working Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: Leidos UK & EUROPE - we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing . We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future.
Apr 18, 2024
Full time
Mid- Senior Software Engineer Technologies: C, C++, Rust Location: Glouchestershire Clearance: High level of clearance required (DV- Developed Vetting) Are you ready to make an impact? This is a new opportunity for a Senior Software Engineer to join a multi disciplined Scrum Team to work on a multi-year transformation programme for our client, developing complex applications in a high assurance environment. What will I be doing? Development of back-end applications using Rust to meet customer requirements/ User Stories. Ensuring all development meets stringent Software, Engineering and Quality standards. Supporting the rest of the team to ensure alignment of requirements/user stories, designs and testing and maintenance of a strict baseline through the sprint process. Triaging and fixing issues and defects. Ensuring good coverage and maintenance of Unit and Component Tests. Operating a CI/CD pipeline to improve efficiency. Utilize industry leading tools like Bitbucket, Jira, and Jenkins to support software development efforts, track work, and automate builds and deployments. Communicate key project data to team members and build team cohesion and effectiveness. Develop/provide input to and execute project plans. Leverage Atlassian tool suite like JIRA and Confluence to track activities. What does Leidos need from me? Extensive proven experience developing in languages like C, C++, Python and Java. Experience of Automated Unit and Component Testing. Experience of CI/CD pipelines. Experience using Git. Experience with static analysis tools e.g. SonarQube, Coverity. Good experience of Agile development methods . Desirable Skills and Experience: Experience developing with Rust (training will be provided if not). Experience of working on secure Government, or MoD IT projects and programmes. Additional: Bachelor's or Master's Degree: A degree in computer science, electrical engineering, or a related field is preferred. Professional membership of BCS or IET Clearance Requirements: Due to the nature of this position, we require you to be eligible to achieve DV clearance. As a result, you should be a British Citizen and have resided in the UK for the last 10 years. Location: Gloucestershire Unleash your talents at Leidos UK! Grow and advance rapidly in your career by letting us challenge you with the world's toughest technical problems. What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: Contributory Pension Scheme Private Medical Insurance 33 days Annual Leave (including public and privilege holidays) Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) Dynamic Working Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: Leidos UK & EUROPE - we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing . We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future.