Head of Data Engineering - Kent 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.
Mar 28, 2024
Full time
Head of Data Engineering - Kent 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.
Data Engineer - Andover/Hybrid - c£45K Are you looking for your next role within Data Engineering? Do you have a desire to work with cloud-based data solutions to support a growing demand for data analytics and automation? We are partnered with an industry disrupter based in Andover, Hampshire who are looking for someone to join their team. You will be responsible for designing, developing and implementing efficient and scalable data pipelines, utilising both Python and SQL. Given that you will need to have proven experience with both Python and SQL, as well as experience working within a data engineering role. KEY RESPONSIBILITES Design, develop, and implement efficient and scalable data pipelines utilising Python and SQL. Develop, test, and deploy data processing workflows and ETL pipelines using containerised Azure applications. Collaborate with data scientists and data analysts to identify and solve complex data problems. Maintain and optimise databases and data pipelines to ensure they perform optimally. Develop and implement best practices for data management and governance. KEY SKILLS A bachelor's or master's degree in computer science, engineering, or a related field is highly desirable. However, we also welcome applicants without a degree with proven work experience. Considerable experience working in a data engineering role. Competency in SQL, experience with relational databases, query authoring, and working familiarity with various database technologies. Competency with the Python programming language. PLEASE APPLY NOW FOR IMMEDIATE CONSIDERATION Eutopia Solutions Ltd ("Eutopia") is acting as an Employment Agency in relation to this vacancy. Eutopia is an equal opportunities employer and positively encourages applications from any suitably qualified and eligible candidates.
Mar 28, 2024
Full time
Data Engineer - Andover/Hybrid - c£45K Are you looking for your next role within Data Engineering? Do you have a desire to work with cloud-based data solutions to support a growing demand for data analytics and automation? We are partnered with an industry disrupter based in Andover, Hampshire who are looking for someone to join their team. You will be responsible for designing, developing and implementing efficient and scalable data pipelines, utilising both Python and SQL. Given that you will need to have proven experience with both Python and SQL, as well as experience working within a data engineering role. KEY RESPONSIBILITES Design, develop, and implement efficient and scalable data pipelines utilising Python and SQL. Develop, test, and deploy data processing workflows and ETL pipelines using containerised Azure applications. Collaborate with data scientists and data analysts to identify and solve complex data problems. Maintain and optimise databases and data pipelines to ensure they perform optimally. Develop and implement best practices for data management and governance. KEY SKILLS A bachelor's or master's degree in computer science, engineering, or a related field is highly desirable. However, we also welcome applicants without a degree with proven work experience. Considerable experience working in a data engineering role. Competency in SQL, experience with relational databases, query authoring, and working familiarity with various database technologies. Competency with the Python programming language. PLEASE APPLY NOW FOR IMMEDIATE CONSIDERATION Eutopia Solutions Ltd ("Eutopia") is acting as an Employment Agency in relation to this vacancy. Eutopia is an equal opportunities employer and positively encourages applications from any suitably qualified and eligible candidates.
Please note that this role is open to applicants in both our London and Glasgow Offices SThree are delighted to announce that we're looking for a talented Power BI Developer to join our team! The chosen candidate will support SThree's overall purpose to 'bring skilled people together to build the future'. Reporting to the Head of Data Governance & Technology, the Power BI Developer is responsible for developing Power BI reports based on the azure data platform. The role is accountable for accurate and consumable production of reports into the business including design look and feel. The purpose is to ensure that the reports for the business are impactful and easily consumed. Data is at the heart of our business and ability to effectively access and use it is essential for fulfilling our strategic ambition. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. Elevating expertise and energising progress for everyone. Operating through a global house of specialist recruitment brands we know how to achieve the goals of STEM professionals seeking both permanent and contract work and understand the organisations who need them. The world is changing. And the people who change the world work with us. What are the day-to-day tasks? Designing and developing BI reports and dashboards: This involves understanding the business requirements, designing the data model, and developing visualizations that provide actionable insights. Data management: Power BI developers are responsible for managing data sets, ensuring they are clean, accurate, and ready for analysis. This often involves data extraction, transformation, and loading (ETL) processes. Collaborating with stakeholders: Power BI developers work closely with various stakeholders, including business analysts, project managers, and data scientists, to understand their data needs and deliver solutions that meet them. Ensuring data accuracy: Power BI developers must ensure the accuracy and reliability of the data presented in the dashboards and reports. This involves validating the data and implementing quality checks. Training end-users: Power BI developers often train end-users on how to use the dashboards and reports effectively. This includes explaining how to interpret the data and make data-driven decisions. Troubleshooting and maintenance: Power BI developers troubleshoot data-related issues and maintain the Power BI infrastructure to ensure it's up-to-date and running smoothly. Staying updated: The data analysis and visualisation field is constantly evolving. Power BI developers need to stay updated with the latest features, updates, and best practices to leverage them effectively. Data security: Ensuring data security is another important responsibility. This involves implementing appropriate access controls and data protection measures. What skills are we looking for? Knowledge & Experience: Excellent analytical skills and a proven ability to think creatively to solve problems. Significant experience in the development of Reports within Azure, utilising functionality such as Azure Data Factory / Lake, Power BI, Logic and Function Apps and Azure SQL Knowledge of data transformations, pipelines, structured / unstructured data and data ingestion ETL processes. Strong experience of working in an Agile delivery team and producing and deploying applications in a production environment. Qualifications: Associated Microsoft (or other) certificates and qualifications Data Analytics using AI/ML MSSQL and MYSql stored procedures and data scripting Visual analytics tools, e.g. Power BI / Tableau / etc. Benefits for our U.K. teams include: The choice to work flexibly from home and the office, in line with our hybrid working principles - one anchor day a week in office, with additional days depending on activity Bonus linked to company and personal performance Generous 28 days holiday allowance, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private health care, discounted dental insurance and health care cash back scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.
Mar 27, 2024
Full time
Please note that this role is open to applicants in both our London and Glasgow Offices SThree are delighted to announce that we're looking for a talented Power BI Developer to join our team! The chosen candidate will support SThree's overall purpose to 'bring skilled people together to build the future'. Reporting to the Head of Data Governance & Technology, the Power BI Developer is responsible for developing Power BI reports based on the azure data platform. The role is accountable for accurate and consumable production of reports into the business including design look and feel. The purpose is to ensure that the reports for the business are impactful and easily consumed. Data is at the heart of our business and ability to effectively access and use it is essential for fulfilling our strategic ambition. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. Elevating expertise and energising progress for everyone. Operating through a global house of specialist recruitment brands we know how to achieve the goals of STEM professionals seeking both permanent and contract work and understand the organisations who need them. The world is changing. And the people who change the world work with us. What are the day-to-day tasks? Designing and developing BI reports and dashboards: This involves understanding the business requirements, designing the data model, and developing visualizations that provide actionable insights. Data management: Power BI developers are responsible for managing data sets, ensuring they are clean, accurate, and ready for analysis. This often involves data extraction, transformation, and loading (ETL) processes. Collaborating with stakeholders: Power BI developers work closely with various stakeholders, including business analysts, project managers, and data scientists, to understand their data needs and deliver solutions that meet them. Ensuring data accuracy: Power BI developers must ensure the accuracy and reliability of the data presented in the dashboards and reports. This involves validating the data and implementing quality checks. Training end-users: Power BI developers often train end-users on how to use the dashboards and reports effectively. This includes explaining how to interpret the data and make data-driven decisions. Troubleshooting and maintenance: Power BI developers troubleshoot data-related issues and maintain the Power BI infrastructure to ensure it's up-to-date and running smoothly. Staying updated: The data analysis and visualisation field is constantly evolving. Power BI developers need to stay updated with the latest features, updates, and best practices to leverage them effectively. Data security: Ensuring data security is another important responsibility. This involves implementing appropriate access controls and data protection measures. What skills are we looking for? Knowledge & Experience: Excellent analytical skills and a proven ability to think creatively to solve problems. Significant experience in the development of Reports within Azure, utilising functionality such as Azure Data Factory / Lake, Power BI, Logic and Function Apps and Azure SQL Knowledge of data transformations, pipelines, structured / unstructured data and data ingestion ETL processes. Strong experience of working in an Agile delivery team and producing and deploying applications in a production environment. Qualifications: Associated Microsoft (or other) certificates and qualifications Data Analytics using AI/ML MSSQL and MYSql stored procedures and data scripting Visual analytics tools, e.g. Power BI / Tableau / etc. Benefits for our U.K. teams include: The choice to work flexibly from home and the office, in line with our hybrid working principles - one anchor day a week in office, with additional days depending on activity Bonus linked to company and personal performance Generous 28 days holiday allowance, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private health care, discounted dental insurance and health care cash back scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.
Job Title: Data Engineer Job Overview: They are seeking a skilled and experienced Data Engineer to join their dynamic team in the insurance sector. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining robust data infrastructure and solutions, with a focus on leveraging AWS services. Your expertise in AWS technologies will contribute to optimising data workflows, ensuring data quality, and supporting various analytical and reporting needs within the organization. Responsibilities: Data Architecture and Design: Collaborate with cross-functional teams to understand data requirements and design scalable, efficient, and secure data architecture on AWS. Develop and maintain data models, schemas, and structures to support business intelligence and analytics initiatives. ETL Development: Build and optimise Extract, Transform, Load (ETL) processes to integrate data from various sources into a centralized data warehouse on AWS. Implement data transformation and cleansing routines to ensure data accuracy and consistency. AWS Services Implementation: Leverage AWS services such as Amazon S3, AWS Glue, Amazon Redshift, and others to build and manage scalable and cost-effective data solutions. Implement and optimise data storage, retrieval, and processing using AWS technologies. Data Quality and Governance: Implement data quality checks and monitoring processes to ensure the integrity and accuracy of the data. Work closely with data governance teams to enforce data standards, security, and compliance. Performance Tuning: Identify and address performance bottlenecks in data pipelines and optimize queries to improve overall system performance. Collaboration and Documentation: Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and provide technical support. Document data engineering processes, configurations, and best practices. Monitoring and Troubleshooting: Establish monitoring and alerting systems to proactively identify and resolve issues in data pipelines. Respond to and troubleshoot data-related incidents promptly. Continuous Learning and Innovation: Stay updated on the latest AWS services, tools, and best practices in data engineering. Propose and implement innovative solutions to enhance the overall data infrastructure and efficiency. Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Engineer with a focus on AWS technologies. Strong proficiency in AWS services such as S3, Glue, Redshift, Lambda, and others. Proficient in programming languages such as Python, SQL, and experience with data manipulation frameworks. Solid understanding of data modeling, ETL processes, and data warehousing concepts. Familiarity with insurance industry data and analytics requirements is a plus. Join their team and contribute to building a data-driven culture that empowers the organization to make informed decisions in the insurance sector. 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.
Mar 27, 2024
Full time
Job Title: Data Engineer Job Overview: They are seeking a skilled and experienced Data Engineer to join their dynamic team in the insurance sector. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining robust data infrastructure and solutions, with a focus on leveraging AWS services. Your expertise in AWS technologies will contribute to optimising data workflows, ensuring data quality, and supporting various analytical and reporting needs within the organization. Responsibilities: Data Architecture and Design: Collaborate with cross-functional teams to understand data requirements and design scalable, efficient, and secure data architecture on AWS. Develop and maintain data models, schemas, and structures to support business intelligence and analytics initiatives. ETL Development: Build and optimise Extract, Transform, Load (ETL) processes to integrate data from various sources into a centralized data warehouse on AWS. Implement data transformation and cleansing routines to ensure data accuracy and consistency. AWS Services Implementation: Leverage AWS services such as Amazon S3, AWS Glue, Amazon Redshift, and others to build and manage scalable and cost-effective data solutions. Implement and optimise data storage, retrieval, and processing using AWS technologies. Data Quality and Governance: Implement data quality checks and monitoring processes to ensure the integrity and accuracy of the data. Work closely with data governance teams to enforce data standards, security, and compliance. Performance Tuning: Identify and address performance bottlenecks in data pipelines and optimize queries to improve overall system performance. Collaboration and Documentation: Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and provide technical support. Document data engineering processes, configurations, and best practices. Monitoring and Troubleshooting: Establish monitoring and alerting systems to proactively identify and resolve issues in data pipelines. Respond to and troubleshoot data-related incidents promptly. Continuous Learning and Innovation: Stay updated on the latest AWS services, tools, and best practices in data engineering. Propose and implement innovative solutions to enhance the overall data infrastructure and efficiency. Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Engineer with a focus on AWS technologies. Strong proficiency in AWS services such as S3, Glue, Redshift, Lambda, and others. Proficient in programming languages such as Python, SQL, and experience with data manipulation frameworks. Solid understanding of data modeling, ETL processes, and data warehousing concepts. Familiarity with insurance industry data and analytics requirements is a plus. Join their team and contribute to building a data-driven culture that empowers the organization to make informed decisions in the insurance sector. 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.
A forward-thinking technology company working with major global brands are entering a period of growth within their new office location in Llandysul They are currently seeking an experienced Data Engineer(wit ha focus on Power BI) to play a pivotal role in managing and optimising their data infrastructure. You ll leverage your technical expertise and join a supportive, open and collaborative environment with a culture of learning, who are not afraid of making mistakes and thinking outside of the box. Your role will involve working alongside Data Scientists and Analysts to drive data-driven insights for their clients to make strategic decisions. You ll collaborate with stakeholders, design/maintain data pipelines and ETL Processes, ensuring the accuracy and security of the data and identifying opportunities for automation. Experience required At least 2 years Data Engineering with proven experience in Power BI Development Knowledge in data analysis, modelling, and visualization Proficient in: Microsoft Power BI (Power Query, DAX, Power View) Strong knowledge of SQL and relational databases (e.g., MySQL, PostgreSQL) Skilled in at least one programming language e.g., Python or Java Cloud platforms knowledge - AWS / Azure, and familiarity with data warehousing Applicants must be within commutable distance of Llandysul for 3 days a week working in office (working 2 days a week at home) and must have the right to work in UK as we do not offer sponsorship. Please Apply Now to be considered or contact Rachael for a confidential chat: (url removed)
Mar 27, 2024
Full time
A forward-thinking technology company working with major global brands are entering a period of growth within their new office location in Llandysul They are currently seeking an experienced Data Engineer(wit ha focus on Power BI) to play a pivotal role in managing and optimising their data infrastructure. You ll leverage your technical expertise and join a supportive, open and collaborative environment with a culture of learning, who are not afraid of making mistakes and thinking outside of the box. Your role will involve working alongside Data Scientists and Analysts to drive data-driven insights for their clients to make strategic decisions. You ll collaborate with stakeholders, design/maintain data pipelines and ETL Processes, ensuring the accuracy and security of the data and identifying opportunities for automation. Experience required At least 2 years Data Engineering with proven experience in Power BI Development Knowledge in data analysis, modelling, and visualization Proficient in: Microsoft Power BI (Power Query, DAX, Power View) Strong knowledge of SQL and relational databases (e.g., MySQL, PostgreSQL) Skilled in at least one programming language e.g., Python or Java Cloud platforms knowledge - AWS / Azure, and familiarity with data warehousing Applicants must be within commutable distance of Llandysul for 3 days a week working in office (working 2 days a week at home) and must have the right to work in UK as we do not offer sponsorship. Please Apply Now to be considered or contact Rachael for a confidential chat: (url removed)
Head of Data Engineering - Kent 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.
Mar 26, 2024
Full time
Head of Data Engineering - Kent 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.
ABOUT HAKKODA Hakkoda is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone's input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!. Role Description: As a Hakkōda Data Architect, you will play a key role in designing and implementing data architecture solutions for our clients, leveraging expertise in data modeling, data integration and analytics. You will lead architectural discussions and design exercises to build and automate large scale data migrations with Hakkōda cross functional teams in the UK, US, Portugal and Costa Rica. The successful candidate will have hands-on experience migrating critical databases across multiple database platforms and must be comfortable developing database migration solutions to ensure the clients information is stored effectively and securely. Additionally, you will work closely with Sales teams to provide pre-sales architecture expertise to help ensure engagements are scoped optimally. Ideal candidates will have strong communication skills and the ability to guide clients and project team members. You will be joining a team of passionate, forward-thinking engineers and data scientists who are charting a new course. You will find a culture rich in collaboration, personal development and one that recognizes and pursues the zest for life. Please note that we do not sponsor work visas for this position. All applicants must have the right to work in the UK. Responsibilities: - Data Architecture Design: Collaborate with clients to understand their business goals, data requirements, and technical constraints. Design scalable, high-performance data architectures using Snowflake to meet these requirements and align with industry best practices. - Data Modeling: Develop and maintain conceptual, logical, and physical data models, ensuring data integrity, consistency, and usability across the organization. Apply advanced data modeling techniques to optimize data structures for efficient storage, retrieval, and analysis. - Data Integration: Design and implement robust data integration solutions, including data ingestion, transformation, and cleansing processes. Utilize Snowflake's capabilities for data loading, change data capture (CDC), and data replication to ensure accurate and timely data availability. - Analytics and Reporting: Collaborate with data analysts and business intelligence teams to design and optimize data pipelines for analytics and reporting purposes. Implement data aggregation, summarization, and visualization techniques to enable effective data-driven decision-making. - Performance Optimization: Identify and resolve performance bottlenecks in data processing and query execution. Optimize data partitioning, clustering, and indexing strategies to improve query performance and reduce costs. - Data Governance and Security: Define and enforce data governance policies, ensuring data quality, privacy, and compliance with regulatory requirements. Implement appropriate access controls and encryption mechanisms to protect sensitive data stored in Snowflake. - Consulting and Client Engagement: Act as a trusted advisor to clients, providing technical guidance and expertise in data architecture and Snowflake. Lead workshops, presentations, and discussions to educate clients on best practices and drive successful project outcomes. - Research and Innovation: Stay up to date with the latest trends and advancements in data architecture, cloud technologies, and Snowflake. Evaluate and recommend new tools, techniques, and methodologies to enhance data architecture capabilities. - Technical Engagement in Pre-Sales: Work closely with the sales organization to build compelling proposals to deliver engagements that drive recognizable customer value. Qualifications: - 6+ yrs proven work experience in data warehousing/BI/analytics - 3+ yrs of proven experience as an Architect - 3+ yrs experience working in Cloud platforms. - Bachelor's Degree (BA/BS) in computer science, information systems, Mathematics, MIS or related field - Strong knowledge of data integration techniques, including ETL/ELT processes, data pipelines, and data streaming with tools like Fivetran, DBT, Matillion - Project management skills and experience working with Scrum and Agile Development methods. - Extensive hands-on experience in data modeling, schema design, performance tuning, and optimization. - Proficiency in SQL and scripting languages (e.g., Python) for data manipulation and automation. - Experience with data governance, data security, and compliance frameworks. - Excellent problem-solving and analytical skills, with the ability to translate complex business requirements into scalable data architectures. - Strong communication and presentation skills, with the ability to effectively interact with both technical and non-technical stakeholders. - Proven track record of leading successful data architecture projects, delivering high-quality solutions within agreed timelines and budget constraints. - Right to work in the UK Nice to Have: - At least 6-12 months of experience working with Snowflake. - Understanding of Snowflake design patterns and migration architectures is a major plus. - Understanding of Snowflake roles and user security - Understanding of Snowflake capabilities like Snowpipe, etc. - SQL scripting - Cloud experience on AWS (Azure, GCP are nice to have as well) - Python Scripting is a plus. - Understanding of Data Vault, Data Mesh, Data Products Hakkoda is an exciting, high growth company, and we're scaling our team. We are looking for exceptional people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Hakkoda.We are a collaborative team of high achievers. We love to explore, challenge and have a lot of fun along the way. Are you ready for the adventure? Click here to see our culture on display. Benefits will vary by country: - Medical, Dental, Vision - Life Insurance - Paid parental leave - Paid time off - Work from home benefits for 100% remote roles - Technical training and certifications - Robust learning and development opportunities
Mar 25, 2024
Full time
ABOUT HAKKODA Hakkoda is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone's input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!. Role Description: As a Hakkōda Data Architect, you will play a key role in designing and implementing data architecture solutions for our clients, leveraging expertise in data modeling, data integration and analytics. You will lead architectural discussions and design exercises to build and automate large scale data migrations with Hakkōda cross functional teams in the UK, US, Portugal and Costa Rica. The successful candidate will have hands-on experience migrating critical databases across multiple database platforms and must be comfortable developing database migration solutions to ensure the clients information is stored effectively and securely. Additionally, you will work closely with Sales teams to provide pre-sales architecture expertise to help ensure engagements are scoped optimally. Ideal candidates will have strong communication skills and the ability to guide clients and project team members. You will be joining a team of passionate, forward-thinking engineers and data scientists who are charting a new course. You will find a culture rich in collaboration, personal development and one that recognizes and pursues the zest for life. Please note that we do not sponsor work visas for this position. All applicants must have the right to work in the UK. Responsibilities: - Data Architecture Design: Collaborate with clients to understand their business goals, data requirements, and technical constraints. Design scalable, high-performance data architectures using Snowflake to meet these requirements and align with industry best practices. - Data Modeling: Develop and maintain conceptual, logical, and physical data models, ensuring data integrity, consistency, and usability across the organization. Apply advanced data modeling techniques to optimize data structures for efficient storage, retrieval, and analysis. - Data Integration: Design and implement robust data integration solutions, including data ingestion, transformation, and cleansing processes. Utilize Snowflake's capabilities for data loading, change data capture (CDC), and data replication to ensure accurate and timely data availability. - Analytics and Reporting: Collaborate with data analysts and business intelligence teams to design and optimize data pipelines for analytics and reporting purposes. Implement data aggregation, summarization, and visualization techniques to enable effective data-driven decision-making. - Performance Optimization: Identify and resolve performance bottlenecks in data processing and query execution. Optimize data partitioning, clustering, and indexing strategies to improve query performance and reduce costs. - Data Governance and Security: Define and enforce data governance policies, ensuring data quality, privacy, and compliance with regulatory requirements. Implement appropriate access controls and encryption mechanisms to protect sensitive data stored in Snowflake. - Consulting and Client Engagement: Act as a trusted advisor to clients, providing technical guidance and expertise in data architecture and Snowflake. Lead workshops, presentations, and discussions to educate clients on best practices and drive successful project outcomes. - Research and Innovation: Stay up to date with the latest trends and advancements in data architecture, cloud technologies, and Snowflake. Evaluate and recommend new tools, techniques, and methodologies to enhance data architecture capabilities. - Technical Engagement in Pre-Sales: Work closely with the sales organization to build compelling proposals to deliver engagements that drive recognizable customer value. Qualifications: - 6+ yrs proven work experience in data warehousing/BI/analytics - 3+ yrs of proven experience as an Architect - 3+ yrs experience working in Cloud platforms. - Bachelor's Degree (BA/BS) in computer science, information systems, Mathematics, MIS or related field - Strong knowledge of data integration techniques, including ETL/ELT processes, data pipelines, and data streaming with tools like Fivetran, DBT, Matillion - Project management skills and experience working with Scrum and Agile Development methods. - Extensive hands-on experience in data modeling, schema design, performance tuning, and optimization. - Proficiency in SQL and scripting languages (e.g., Python) for data manipulation and automation. - Experience with data governance, data security, and compliance frameworks. - Excellent problem-solving and analytical skills, with the ability to translate complex business requirements into scalable data architectures. - Strong communication and presentation skills, with the ability to effectively interact with both technical and non-technical stakeholders. - Proven track record of leading successful data architecture projects, delivering high-quality solutions within agreed timelines and budget constraints. - Right to work in the UK Nice to Have: - At least 6-12 months of experience working with Snowflake. - Understanding of Snowflake design patterns and migration architectures is a major plus. - Understanding of Snowflake roles and user security - Understanding of Snowflake capabilities like Snowpipe, etc. - SQL scripting - Cloud experience on AWS (Azure, GCP are nice to have as well) - Python Scripting is a plus. - Understanding of Data Vault, Data Mesh, Data Products Hakkoda is an exciting, high growth company, and we're scaling our team. We are looking for exceptional people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Hakkoda.We are a collaborative team of high achievers. We love to explore, challenge and have a lot of fun along the way. Are you ready for the adventure? Click here to see our culture on display. Benefits will vary by country: - Medical, Dental, Vision - Life Insurance - Paid parental leave - Paid time off - Work from home benefits for 100% remote roles - Technical training and certifications - Robust learning and development opportunities
Senior Data Developer 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 have Full Stack Development experience, Angular, .NET and Cosmos VB experience. 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.
Mar 25, 2024
Full time
Senior Data Developer 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 have Full Stack Development experience, Angular, .NET and Cosmos VB experience. 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.
Senior Data Developer Ashford/Kent - role requires 4 days on site 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 have Full Stack Development experience, Angular, .NET and Cosmos VB experience. 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.
Mar 22, 2024
Full time
Senior Data Developer Ashford/Kent - role requires 4 days on site 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 have Full Stack Development experience, Angular, .NET and Cosmos VB experience. 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.
Senior Data Developer Ashford/Kent - role requires 4 days on site 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 have Full Stack Development experience, Angular, .NET and Cosmos VB experience. 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.
Mar 22, 2024
Full time
Senior Data Developer Ashford/Kent - role requires 4 days on site 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 have Full Stack Development experience, Angular, .NET and Cosmos VB experience. 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.
Main duties and responsibilities Programming and build - You can design, write and iterate code from prototype to production-ready. You understand security, accessibility and version control. You can use a range of coding tools and languages. You can develop code that self-generates documentation that supports Data Scientists and Data Analysts. Technical understanding - You know about the specific technologies that underpin your ability to deliver the responsibilities and tasks of the role. You can apply the required breadth and depth of technical knowledge. Testing - You can plan, design, manage, execute and report tests, using appropriate tools and techniques, and work within regulations. You know how to ensure that risks associated with deployment are adequately understood and documented Problem resolution - You know how to log, analyse and manage problems in order to identify and implement the appropriate solution. You can ensure that the problem is fixed. You will work in the Data Engineering and Enablement Division that reports into the Data Operations Directorate. It's an exciting time to join as we seek to create leading Health Protection data capabilities that enable data scientists and data analysts to develop insights that inform public health decisions with resilience platforms and curated data assets. The role requires the ingestion of a wide range of data assets, building acquisition, orchestration, data pipelines and curated data marts and data egresses. We are seeking to mature our advanced capabilities with standardised practices, machine learning and agility needed to pro-active detect and respond to new public health issues. You will be involved in the delivery lifecycle from engaging with stakeholders on new initiatives, analysing use cases, developing optimal designs that where possible re-use and extend capabilities, and implement and operate the design. Our teams work collaboratively in an agile multi-disciplinary team mode and we are looking for engineers who have the ability to operate in feature teams, data operations and DevSecOps models. We are developing our engineering community of practice to share knowledge, enhance our standards and processes to provide a strong foundation to develop individuals, teams and innovation. Essential Criteria Strong at python, unit testing (pytest) and pep8 standards Writing robust data pipeline code that can run unattended Pandas data validation, manipulation, merging, joining and at times visualisation Unix environment, server health and management of ongoing running processes Github, git, pull requests, CI and code review Logging and reporting pragmatically Ability to troubleshoot and solve numerical and technical problems High attention to detail Excellent communication and facilitation skills evidenced through verbal and written means to a wide range of stakeholders Experience with Agile delivery Data engineering experience using Python, SQL, Spark and AWS Hands on ETL development experience utilizing Microsoft enterprise stack / Azure and AWS Glue Knowledge of data management platforms and development with SQLServer Experience with publishing data sets for visualisation and analysis Experience with supporting design of data models / data flows Ability to work as part of a team to develop and deliver end-to-end data warehouse solutions Analytical skill set with an ability to understand data requirements and support the development of data solutions Desirable Criteria Machine learning for engineering practices, such as meta driven intelligent ETL and pipeline processes Experience of working with JIRA (or Azure DevOps or similar tools) within an Agile/Scrum environment Experience/understanding of software and data lifecycle management Educated to degree level (not essential, experience is key). Relevant numerate, technical or computer science discipline would be an advantage for more info click the apply here button
Aug 16, 2023
Full time
Main duties and responsibilities Programming and build - You can design, write and iterate code from prototype to production-ready. You understand security, accessibility and version control. You can use a range of coding tools and languages. You can develop code that self-generates documentation that supports Data Scientists and Data Analysts. Technical understanding - You know about the specific technologies that underpin your ability to deliver the responsibilities and tasks of the role. You can apply the required breadth and depth of technical knowledge. Testing - You can plan, design, manage, execute and report tests, using appropriate tools and techniques, and work within regulations. You know how to ensure that risks associated with deployment are adequately understood and documented Problem resolution - You know how to log, analyse and manage problems in order to identify and implement the appropriate solution. You can ensure that the problem is fixed. You will work in the Data Engineering and Enablement Division that reports into the Data Operations Directorate. It's an exciting time to join as we seek to create leading Health Protection data capabilities that enable data scientists and data analysts to develop insights that inform public health decisions with resilience platforms and curated data assets. The role requires the ingestion of a wide range of data assets, building acquisition, orchestration, data pipelines and curated data marts and data egresses. We are seeking to mature our advanced capabilities with standardised practices, machine learning and agility needed to pro-active detect and respond to new public health issues. You will be involved in the delivery lifecycle from engaging with stakeholders on new initiatives, analysing use cases, developing optimal designs that where possible re-use and extend capabilities, and implement and operate the design. Our teams work collaboratively in an agile multi-disciplinary team mode and we are looking for engineers who have the ability to operate in feature teams, data operations and DevSecOps models. We are developing our engineering community of practice to share knowledge, enhance our standards and processes to provide a strong foundation to develop individuals, teams and innovation. Essential Criteria Strong at python, unit testing (pytest) and pep8 standards Writing robust data pipeline code that can run unattended Pandas data validation, manipulation, merging, joining and at times visualisation Unix environment, server health and management of ongoing running processes Github, git, pull requests, CI and code review Logging and reporting pragmatically Ability to troubleshoot and solve numerical and technical problems High attention to detail Excellent communication and facilitation skills evidenced through verbal and written means to a wide range of stakeholders Experience with Agile delivery Data engineering experience using Python, SQL, Spark and AWS Hands on ETL development experience utilizing Microsoft enterprise stack / Azure and AWS Glue Knowledge of data management platforms and development with SQLServer Experience with publishing data sets for visualisation and analysis Experience with supporting design of data models / data flows Ability to work as part of a team to develop and deliver end-to-end data warehouse solutions Analytical skill set with an ability to understand data requirements and support the development of data solutions Desirable Criteria Machine learning for engineering practices, such as meta driven intelligent ETL and pipeline processes Experience of working with JIRA (or Azure DevOps or similar tools) within an Agile/Scrum environment Experience/understanding of software and data lifecycle management Educated to degree level (not essential, experience is key). Relevant numerate, technical or computer science discipline would be an advantage for more info click the apply here button
The Role Hybrid Intelligence, a Capgemini Engineering team, is looking for an experienced data engineer with a background in science, mathematics or engineering to join us. You will have the opportunity to use a range of skills to create, develop and deliver solutions that truly make a difference in the world. You will help our clients solve a variety of science and engineering problems. Projects can span a range of activities and your responsibilities will include: Combining domain knowledge and technical skills to understand and solve the complex challenges facing our clients. Designing and developing custom software solutions to solve complex scientific and engineering problems Building strong relationships, communicating and collaborating with clients and colleagues. Our projects are exciting and rewarding and provide plenty of opportunities to learn and develop. They can be based either on client sites or in our offices, so you will be expected to undertake regular travel, usually no more than one hour from your base office. You will be assigned to projects based on your existing skills and experience, but you will also learn new domains and technologies and apply innovative thinking and transferable skills to solve new challenges. Requirements BSc, MSc or PhD in science, mathematics or engineering. This is important in order to speak the same language as our clients and understand their industry-related challenges. A background or experience purely in finance, economics, marketing, business intelligence, etc is NOT particularly relevant to this role. Several years of proven industrial experience in data engineering in a scientific or engineering environment. Proven experience in ETL/ELT practices and data schema development to prepare scientific data for downstream processing, ideally in a machine learning/advanced analytics context. Experience in some our core technologies including Python, R, SQL, Azure/AWS platform services, Docker/Kubernetes and Spark to name a few. Excellent interpersonal skills and the ability to explain complex concepts to clients and colleagues from all backgrounds. The eagerness and capacity to quickly learn new domains and technologies. Additional Info Career Development and Training We offer excellent prospects for your future. While we do offer traditional career paths, most staff end up shaping their own based on their aspirations, the skills they have developed and the projects they have worked on. As your career progresses, you will be able to contribute to projects in a variety of roles, from Data Scientist and Software Developer to Business Analyst and Project Manager, or any combination of these. We take personal development seriously and all staff receive an annual training allowance of 150 hours, which can be used to learn new technical and soft skills, often leading to recognised professional qualifications. Our Culture and Benefits We are proud of our culture, where a positive attitude, supportive colleagues and commitment to continuous learning are all valued. The wellbeing and engagement of all staff is our priority, and we work in a collaborative, cooperative environment with a good work-life balance. We offer an excellent salary and benefits package including a range of flexible benefits, which staff can tailor to fit their needs. We also support flexible working requests where possible. About Us As a member of the Hybrid Intelligence team of Capgemini Engineering you will work on a variety of innovative and rewarding projects that make a difference. Our work is a fusion of applied mathematics, scientific computing, AI, and software engineering. We deliver ground-breaking, multi-disciplinary solutions for our R&D-driven clients tackling humanity's generational challenges, from discovering new drug treatments to harnessing green energy. We are dedicated to creating a diverse environment and are proud to be an equal opportunity employer. We appreciate individuals for who they are and value the diversity they bring to the workplace. Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. It is a multicultural company of over 270,000 team members in almost 50 countries.
Sep 21, 2022
Full time
The Role Hybrid Intelligence, a Capgemini Engineering team, is looking for an experienced data engineer with a background in science, mathematics or engineering to join us. You will have the opportunity to use a range of skills to create, develop and deliver solutions that truly make a difference in the world. You will help our clients solve a variety of science and engineering problems. Projects can span a range of activities and your responsibilities will include: Combining domain knowledge and technical skills to understand and solve the complex challenges facing our clients. Designing and developing custom software solutions to solve complex scientific and engineering problems Building strong relationships, communicating and collaborating with clients and colleagues. Our projects are exciting and rewarding and provide plenty of opportunities to learn and develop. They can be based either on client sites or in our offices, so you will be expected to undertake regular travel, usually no more than one hour from your base office. You will be assigned to projects based on your existing skills and experience, but you will also learn new domains and technologies and apply innovative thinking and transferable skills to solve new challenges. Requirements BSc, MSc or PhD in science, mathematics or engineering. This is important in order to speak the same language as our clients and understand their industry-related challenges. A background or experience purely in finance, economics, marketing, business intelligence, etc is NOT particularly relevant to this role. Several years of proven industrial experience in data engineering in a scientific or engineering environment. Proven experience in ETL/ELT practices and data schema development to prepare scientific data for downstream processing, ideally in a machine learning/advanced analytics context. Experience in some our core technologies including Python, R, SQL, Azure/AWS platform services, Docker/Kubernetes and Spark to name a few. Excellent interpersonal skills and the ability to explain complex concepts to clients and colleagues from all backgrounds. The eagerness and capacity to quickly learn new domains and technologies. Additional Info Career Development and Training We offer excellent prospects for your future. While we do offer traditional career paths, most staff end up shaping their own based on their aspirations, the skills they have developed and the projects they have worked on. As your career progresses, you will be able to contribute to projects in a variety of roles, from Data Scientist and Software Developer to Business Analyst and Project Manager, or any combination of these. We take personal development seriously and all staff receive an annual training allowance of 150 hours, which can be used to learn new technical and soft skills, often leading to recognised professional qualifications. Our Culture and Benefits We are proud of our culture, where a positive attitude, supportive colleagues and commitment to continuous learning are all valued. The wellbeing and engagement of all staff is our priority, and we work in a collaborative, cooperative environment with a good work-life balance. We offer an excellent salary and benefits package including a range of flexible benefits, which staff can tailor to fit their needs. We also support flexible working requests where possible. About Us As a member of the Hybrid Intelligence team of Capgemini Engineering you will work on a variety of innovative and rewarding projects that make a difference. Our work is a fusion of applied mathematics, scientific computing, AI, and software engineering. We deliver ground-breaking, multi-disciplinary solutions for our R&D-driven clients tackling humanity's generational challenges, from discovering new drug treatments to harnessing green energy. We are dedicated to creating a diverse environment and are proud to be an equal opportunity employer. We appreciate individuals for who they are and value the diversity they bring to the workplace. Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. It is a multicultural company of over 270,000 team members in almost 50 countries.
We have a vacancy for a DevOps Data Engineer to build and operate data pipelines and Data Factory on AWS and Microsoft Azure Platforms.The data engineer, which is an emerging role in the data and analytics team, will play a pivotal role in operationalising the most-urgent data and analytics initiatives for analytics use cases.The bulk of the data engineer's work would be in building, managing and optimizing data pipelines, working with our data scientists and technical development team to move these data pipelines effectively into production for key data and analytics consumers (for example business/data analysts, data scientists or any user that needs curated data for data and analytics use cases). Key Responsibilities Data engineers need to guarantee compliance with data governance and data security requirements while creating, improving and operationalizing these integrated and reusable data pipelines.Strong ability to integrate analytics and (or) data science results with business processesThis role will require both creative and collaborative working with the wider business.It will involve evangelizing effective data management practices and promoting better understanding of data and analytics.Data engineers will also be expected to collaborate with data scientists, data analysts and other data consumers and work on the models and algorithms developed by them in order to optimize them for data quality, security and governance and put them into production leading to potentially large productivity gains.What do I need?To be considered for this role, we would love you to have:Experience in DevOps on AWS/Azure and data management experience e.g. data profiling, large volume data handling.Extensive experience of developing using the AWS/Azure analytics components including Data Lakes, Power BI and Microsoft Visual Studio, Data Factory, HDInsight, Data Factory, SQL DB/DW, SSIS, ETL tooling and scripting languages: R, Scala, Python.Fully conversant with Agile and DevOps development methodology and concepts as applied to data driven analytics projects. Including CI/CD Coding, security testing best practice and standards.Experience with designing, building, and operating analytics solutions using AWS/Azure cloud technologies and in automated data driven testing.
Nov 10, 2021
Full time
We have a vacancy for a DevOps Data Engineer to build and operate data pipelines and Data Factory on AWS and Microsoft Azure Platforms.The data engineer, which is an emerging role in the data and analytics team, will play a pivotal role in operationalising the most-urgent data and analytics initiatives for analytics use cases.The bulk of the data engineer's work would be in building, managing and optimizing data pipelines, working with our data scientists and technical development team to move these data pipelines effectively into production for key data and analytics consumers (for example business/data analysts, data scientists or any user that needs curated data for data and analytics use cases). Key Responsibilities Data engineers need to guarantee compliance with data governance and data security requirements while creating, improving and operationalizing these integrated and reusable data pipelines.Strong ability to integrate analytics and (or) data science results with business processesThis role will require both creative and collaborative working with the wider business.It will involve evangelizing effective data management practices and promoting better understanding of data and analytics.Data engineers will also be expected to collaborate with data scientists, data analysts and other data consumers and work on the models and algorithms developed by them in order to optimize them for data quality, security and governance and put them into production leading to potentially large productivity gains.What do I need?To be considered for this role, we would love you to have:Experience in DevOps on AWS/Azure and data management experience e.g. data profiling, large volume data handling.Extensive experience of developing using the AWS/Azure analytics components including Data Lakes, Power BI and Microsoft Visual Studio, Data Factory, HDInsight, Data Factory, SQL DB/DW, SSIS, ETL tooling and scripting languages: R, Scala, Python.Fully conversant with Agile and DevOps development methodology and concepts as applied to data driven analytics projects. Including CI/CD Coding, security testing best practice and standards.Experience with designing, building, and operating analytics solutions using AWS/Azure cloud technologies and in automated data driven testing.
The world of Data is growing at an extremely rapid pace and the skills needed to work within this space are growing at a similar rate, but how would you like to be at the forefront of this incredible field within 8-10 weeks, and then be deployed as one of our Data Engineering consultants to hone those skills even further? What is Data Engineering? Working within a data role requires transitional skill sets such as numerical and analytical skills, but it is now expanding into managing data in a variety of storage systems (e.g. databases, data warehouses, data lakes) using programming skills in languages like SQL and Python. As businesses store and handle more and more data, skills in Big Data technologies like Hadoop and Spark are increasingly relevant. Strong communication skills are vital in transforming data to be used by different parts of the business effectively. This could mean ensuring that the data is transformed into the correct format for the data analysts or working closely with the data scientists to ensure that their data pipeline can support their algorithms. Don't worry, you're not expected to know how to do all of this already, that's where we come in. We want to help you grow into someone that can deal with everything from visualisation tools to big data handling and everything in between. By training in one of our world class academies we will make you a specialist consultant who will then work with our clients to help them realise their business needs. Why work for us? We take time and care to develop your abilities and confidence, your success is our success - together we make other businesses stronger. We have great partners: What's really great about having a career in tech is that is transcends all industries, and as such we partner with businesses across all sectors - central government, leading consultancies, charities, the UKs largest mobile network operators, the world's leading music and podcast streaming platform, popular insurance groups, banks... the list goes on. We're super inclusive: We like to be thought of as ED&I champions - To help illustrate the wonderful culture we maintain here at Sparta, we have won a host of awards and been finalists for many more: Essential Skills: Excellent team player A love for technology and its application Prioritisation and organisational skills Clear and transparent communication Critical Thinking and Problem Solving Decision Making Adaptability Presentable, professional and punctual Able to travel throughout the UK Desirable but absolutely not essential - If you know them, great; If you don't, we'll teach you. SQL Scripting skills - Bash / Python / Similar tools Ability to query large datasets Able to create ETL data pipelines Big Data Platforms Cloud platform technologies We like STEM degrees, but we consider everyone, no matter what kind of background you come from.
Nov 09, 2021
Full time
The world of Data is growing at an extremely rapid pace and the skills needed to work within this space are growing at a similar rate, but how would you like to be at the forefront of this incredible field within 8-10 weeks, and then be deployed as one of our Data Engineering consultants to hone those skills even further? What is Data Engineering? Working within a data role requires transitional skill sets such as numerical and analytical skills, but it is now expanding into managing data in a variety of storage systems (e.g. databases, data warehouses, data lakes) using programming skills in languages like SQL and Python. As businesses store and handle more and more data, skills in Big Data technologies like Hadoop and Spark are increasingly relevant. Strong communication skills are vital in transforming data to be used by different parts of the business effectively. This could mean ensuring that the data is transformed into the correct format for the data analysts or working closely with the data scientists to ensure that their data pipeline can support their algorithms. Don't worry, you're not expected to know how to do all of this already, that's where we come in. We want to help you grow into someone that can deal with everything from visualisation tools to big data handling and everything in between. By training in one of our world class academies we will make you a specialist consultant who will then work with our clients to help them realise their business needs. Why work for us? We take time and care to develop your abilities and confidence, your success is our success - together we make other businesses stronger. We have great partners: What's really great about having a career in tech is that is transcends all industries, and as such we partner with businesses across all sectors - central government, leading consultancies, charities, the UKs largest mobile network operators, the world's leading music and podcast streaming platform, popular insurance groups, banks... the list goes on. We're super inclusive: We like to be thought of as ED&I champions - To help illustrate the wonderful culture we maintain here at Sparta, we have won a host of awards and been finalists for many more: Essential Skills: Excellent team player A love for technology and its application Prioritisation and organisational skills Clear and transparent communication Critical Thinking and Problem Solving Decision Making Adaptability Presentable, professional and punctual Able to travel throughout the UK Desirable but absolutely not essential - If you know them, great; If you don't, we'll teach you. SQL Scripting skills - Bash / Python / Similar tools Ability to query large datasets Able to create ETL data pipelines Big Data Platforms Cloud platform technologies We like STEM degrees, but we consider everyone, no matter what kind of background you come from.
Ofcom is the regulator for the communications services that we depend upon in the modern world. We make sure people get the best from broadband, telephone and mobile services. We oversee the universal postal service and manage the radio-spectrum used by wireless devices and have regulatory powers over TV and radio. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide insights to inform policy decisions. In addition to existing responsibilities, there are opportunities to contribute to our new duties relating to the regulation of Online Harms. This new area of work will expand the scope of data-driven activities in terms of the variety and volume of data, as well as the range of analysis we do. Purpose of the Role You will architect, design, implement and oversee the operations of data solutions that empower data professionals. What you are expected to deliver in this role You will have critical thinking and relevant skills and experience for enabling the transformation of data to create solutions that add value to business requirements. You will have a deep understanding of the full data lifecycle and the role that data plays across applications, machine learning, business analytics, and reporting. You will identify and evaluate alternative architectures to meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions. You will support our on-going development activities and continually promote data innovation to achieve the business outcomes. You will be a self-motivated and effective communicator and inform and influence senior managers. Understand motivations behind projects and own technical activities to translate business requirements into a business value solution. Take an iterative approach that responds to feedback and changing needs. Perform deep dives to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will ensure that the solutions you help deliver forms an integral part of the ICT estate; aligned with the wider architecture. Provide documentation of solutions detailing the business, data, application and technology layers. With colleagues, define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills and Knowledge Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF. Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services. Experience of working closely with Data Scientists/Analysts) to understanding their needs. Experience of implementation of statistical, AI, Machine Learning and Deep learning applications. Experience with integrations (e.g., via APIs) with external vendors to share data between organizations. Experience of building and maintaining good working relationships with colleagues at all levels of an organization. Experience of working with external technology supplier and service providers to deliver business solutions.
Nov 04, 2021
Full time
Ofcom is the regulator for the communications services that we depend upon in the modern world. We make sure people get the best from broadband, telephone and mobile services. We oversee the universal postal service and manage the radio-spectrum used by wireless devices and have regulatory powers over TV and radio. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide insights to inform policy decisions. In addition to existing responsibilities, there are opportunities to contribute to our new duties relating to the regulation of Online Harms. This new area of work will expand the scope of data-driven activities in terms of the variety and volume of data, as well as the range of analysis we do. Purpose of the Role You will architect, design, implement and oversee the operations of data solutions that empower data professionals. What you are expected to deliver in this role You will have critical thinking and relevant skills and experience for enabling the transformation of data to create solutions that add value to business requirements. You will have a deep understanding of the full data lifecycle and the role that data plays across applications, machine learning, business analytics, and reporting. You will identify and evaluate alternative architectures to meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions. You will support our on-going development activities and continually promote data innovation to achieve the business outcomes. You will be a self-motivated and effective communicator and inform and influence senior managers. Understand motivations behind projects and own technical activities to translate business requirements into a business value solution. Take an iterative approach that responds to feedback and changing needs. Perform deep dives to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will ensure that the solutions you help deliver forms an integral part of the ICT estate; aligned with the wider architecture. Provide documentation of solutions detailing the business, data, application and technology layers. With colleagues, define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills and Knowledge Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF. Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services. Experience of working closely with Data Scientists/Analysts) to understanding their needs. Experience of implementation of statistical, AI, Machine Learning and Deep learning applications. Experience with integrations (e.g., via APIs) with external vendors to share data between organizations. Experience of building and maintaining good working relationships with colleagues at all levels of an organization. Experience of working with external technology supplier and service providers to deliver business solutions.
Ofcom is the regulator for the communications services that we depend upon in the modern world. We make sure people get the best from broadband, telephone and mobile services. We oversee the universal postal service and manage the radio-spectrum used by wireless devices and have regulatory powers over TV and radio. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide insights to inform policy decisions. In addition to existing responsibilities, there are opportunities to contribute to our new duties relating to the regulation of Online Harms. This new area of work will expand the scope of data-driven activities in terms of the variety and volume of data, as well as the range of analysis we do. Purpose of the Role You will architect, design, implement and oversee the operations of data solutions that empower data professionals. What you are expected to deliver in this role You will have critical thinking and relevant skills and experience for enabling the transformation of data to create solutions that add value to business requirements. You will have a deep understanding of the full data lifecycle and the role that data plays across applications, machine learning, business analytics, and reporting. You will identify and evaluate alternative architectures to meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions. You will support our on-going development activities and continually promote data innovation to achieve the business outcomes. You will be a self-motivated and effective communicator and inform and influence senior managers. Understand motivations behind projects and own technical activities to translate business requirements into a business value solution. Take an iterative approach that responds to feedback and changing needs. Perform deep dives to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will ensure that the solutions you help deliver forms an integral part of the ICT estate; aligned with the wider architecture. Provide documentation of solutions detailing the business, data, application and technology layers. With colleagues, define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills and Knowledge Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF. Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services. Experience of working closely with Data Scientists/Analysts) to understanding their needs. Experience of implementation of statistical, AI, Machine Learning and Deep learning applications. Experience with integrations (e.g., via APIs) with external vendors to share data between organizations. Experience of building and maintaining good working relationships with colleagues at all levels of an organization. Experience of working with external technology supplier and service providers to deliver business solutions.
Nov 04, 2021
Full time
Ofcom is the regulator for the communications services that we depend upon in the modern world. We make sure people get the best from broadband, telephone and mobile services. We oversee the universal postal service and manage the radio-spectrum used by wireless devices and have regulatory powers over TV and radio. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide insights to inform policy decisions. In addition to existing responsibilities, there are opportunities to contribute to our new duties relating to the regulation of Online Harms. This new area of work will expand the scope of data-driven activities in terms of the variety and volume of data, as well as the range of analysis we do. Purpose of the Role You will architect, design, implement and oversee the operations of data solutions that empower data professionals. What you are expected to deliver in this role You will have critical thinking and relevant skills and experience for enabling the transformation of data to create solutions that add value to business requirements. You will have a deep understanding of the full data lifecycle and the role that data plays across applications, machine learning, business analytics, and reporting. You will identify and evaluate alternative architectures to meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions. You will support our on-going development activities and continually promote data innovation to achieve the business outcomes. You will be a self-motivated and effective communicator and inform and influence senior managers. Understand motivations behind projects and own technical activities to translate business requirements into a business value solution. Take an iterative approach that responds to feedback and changing needs. Perform deep dives to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will ensure that the solutions you help deliver forms an integral part of the ICT estate; aligned with the wider architecture. Provide documentation of solutions detailing the business, data, application and technology layers. With colleagues, define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills and Knowledge Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF. Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services. Experience of working closely with Data Scientists/Analysts) to understanding their needs. Experience of implementation of statistical, AI, Machine Learning and Deep learning applications. Experience with integrations (e.g., via APIs) with external vendors to share data between organizations. Experience of building and maintaining good working relationships with colleagues at all levels of an organization. Experience of working with external technology supplier and service providers to deliver business solutions.
Ofcom is the regulator for the communications services that we depend upon in the modern world. We make sure people get the best from broadband, telephone and mobile services. We oversee the universal postal service and manage the radio-spectrum used by wireless devices and have regulatory powers over TV and radio. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide insights to inform policy decisions. In addition to existing responsibilities, there are opportunities to contribute to our new duties relating to the regulation of Online Harms. This new area of work will expand the scope of data-driven activities in terms of the variety and volume of data, as well as the range of analysis we do. Purpose of the Role You will architect, design, implement and oversee the operations of data solutions that empower data professionals. What you are expected to deliver in this role You will have critical thinking and relevant skills and experience for enabling the transformation of data to create solutions that add value to business requirements. You will have a deep understanding of the full data lifecycle and the role that data plays across applications, machine learning, business analytics, and reporting. You will identify and evaluate alternative architectures to meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions. You will support our on-going development activities and continually promote data innovation to achieve the business outcomes. You will be a self-motivated and effective communicator and inform and influence senior managers. Understand motivations behind projects and own technical activities to translate business requirements into a business value solution. Take an iterative approach that responds to feedback and changing needs. Perform deep dives to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will ensure that the solutions you help deliver forms an integral part of the ICT estate; aligned with the wider architecture. Provide documentation of solutions detailing the business, data, application and technology layers. With colleagues, define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills and Knowledge Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF. Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services. Experience of working closely with Data Scientists/Analysts) to understanding their needs. Experience of implementation of statistical, AI, Machine Learning and Deep learning applications. Experience with integrations (e.g., via APIs) with external vendors to share data between organizations. Experience of building and maintaining good working relationships with colleagues at all levels of an organization. Experience of working with external technology supplier and service providers to deliver business solutions.
Nov 04, 2021
Full time
Ofcom is the regulator for the communications services that we depend upon in the modern world. We make sure people get the best from broadband, telephone and mobile services. We oversee the universal postal service and manage the radio-spectrum used by wireless devices and have regulatory powers over TV and radio. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide insights to inform policy decisions. In addition to existing responsibilities, there are opportunities to contribute to our new duties relating to the regulation of Online Harms. This new area of work will expand the scope of data-driven activities in terms of the variety and volume of data, as well as the range of analysis we do. Purpose of the Role You will architect, design, implement and oversee the operations of data solutions that empower data professionals. What you are expected to deliver in this role You will have critical thinking and relevant skills and experience for enabling the transformation of data to create solutions that add value to business requirements. You will have a deep understanding of the full data lifecycle and the role that data plays across applications, machine learning, business analytics, and reporting. You will identify and evaluate alternative architectures to meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions. You will support our on-going development activities and continually promote data innovation to achieve the business outcomes. You will be a self-motivated and effective communicator and inform and influence senior managers. Understand motivations behind projects and own technical activities to translate business requirements into a business value solution. Take an iterative approach that responds to feedback and changing needs. Perform deep dives to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will ensure that the solutions you help deliver forms an integral part of the ICT estate; aligned with the wider architecture. Provide documentation of solutions detailing the business, data, application and technology layers. With colleagues, define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills and Knowledge Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF. Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services. Experience of working closely with Data Scientists/Analysts) to understanding their needs. Experience of implementation of statistical, AI, Machine Learning and Deep learning applications. Experience with integrations (e.g., via APIs) with external vendors to share data between organizations. Experience of building and maintaining good working relationships with colleagues at all levels of an organization. Experience of working with external technology supplier and service providers to deliver business solutions.
Team Overview Data is central to Ofcom's work. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide key insights to inform policy decisions. In addition to existing regulatory responsibilities, there will be exciting opportunities to contribute to Ofcom's new duties in relation to the regulation of Online Harms. It is expected that this new area of work will expand the scope of data-driven activities at Ofcom in terms of the variety and volume of data, as well as the range of analysis we do. To ensure that Ofcom has the appropriate data capabilities to undertake the analysis effectively, ICT has created a new role for an Data Solutions Architect Purpose of the Role The Data Solutions Architect works closely with ICT and the Data Innovation Hub. You will architect, design, implement and oversee the operations of data solutions that empower data professionals to efficiently and effectively deliver their work. Candidates will exhibit critical thinking skills, the ability to synthesize complex problems, and have relevant skills and experience for enabling the transformation of data to create solutions that add value to a myriad of business requirements. You must have a deep understanding of the full data lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting. You will lead the design and development of solution architectures in response to business requirements. This includes identifying and evaluating alternative architectures, their trade-offs in cost, performance and scalability. And ensuring that the relevant technical strategies, policies, standards and practices (including security) are applied correctly. The end to end solution will be fit for purpose - i.e. meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions By maintaining your knowledge of emerging trends in data usage, tools and analysis techniques you will support our on-going development activities and continually promote data innovation as a means to achieve the business outcomes for specific Groups, and Ofcom. You will need to be self-motivated, an effective communicator and have a collaborative delivery approach.You will work in a collaborative cross-functional environment and interact with the full spectrum of colleagues (data engineers, data analysts, data scientists, operational support and policy makers), and you will need to inform and influence senior managers. Requirements of the Role Build strong relationships with colleagues across the business, understanding their motivations behind projects and own technical activities to translate business requirements (both functional and non-functional) into a solution. Ensuring the required business value is delivered. Fostering a customer centric approach to ensure delivery of business value and an iterative approach that responds to feedback and changing needs. Perform deep dives into technical areas to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will be responsible for ensuring that the solutions you help deliver form an integral part of the ICT estate and align with the wider reference architecture and domain roadmaps. Manage stakeholder expectations and be flexible, working on many different projects and topics at the same time period. Manage proactive and reactive communication. Facilitate difficult discussions within the team or with diverse senior stakeholders and external / 3rd parties as necessary. Provide documentation of solutions detailing the business, data, application and technology layers. Work with Data Engineers to define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills, knowledge and experience Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/ DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services Experience of working closely with Data Professionals (E.g. Data Scientists and Data Analysts) to understanding their needs. Experience of implementating of statistical, Artificial Intelligence, Machine Learning and Deep learning applications. Experience with integrations (e.g. via APIs) with external vendors to share data between organizations Experience of working with external technology supplier and service providers to deliver business solutions SFIA Skill Enterprise and business architecture STPL - Level 5 Solution architecture ARCH - Level 5 Requirements definition and management REQM- Level 5 Database design DBDS- Level 5 Analytics INAN- Level 4 Emerging Technology Monitoring (EMRG)- Level 4 Relationship Management RLMT- Level 5
Nov 04, 2021
Full time
Team Overview Data is central to Ofcom's work. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide key insights to inform policy decisions. In addition to existing regulatory responsibilities, there will be exciting opportunities to contribute to Ofcom's new duties in relation to the regulation of Online Harms. It is expected that this new area of work will expand the scope of data-driven activities at Ofcom in terms of the variety and volume of data, as well as the range of analysis we do. To ensure that Ofcom has the appropriate data capabilities to undertake the analysis effectively, ICT has created a new role for an Data Solutions Architect Purpose of the Role The Data Solutions Architect works closely with ICT and the Data Innovation Hub. You will architect, design, implement and oversee the operations of data solutions that empower data professionals to efficiently and effectively deliver their work. Candidates will exhibit critical thinking skills, the ability to synthesize complex problems, and have relevant skills and experience for enabling the transformation of data to create solutions that add value to a myriad of business requirements. You must have a deep understanding of the full data lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting. You will lead the design and development of solution architectures in response to business requirements. This includes identifying and evaluating alternative architectures, their trade-offs in cost, performance and scalability. And ensuring that the relevant technical strategies, policies, standards and practices (including security) are applied correctly. The end to end solution will be fit for purpose - i.e. meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions By maintaining your knowledge of emerging trends in data usage, tools and analysis techniques you will support our on-going development activities and continually promote data innovation as a means to achieve the business outcomes for specific Groups, and Ofcom. You will need to be self-motivated, an effective communicator and have a collaborative delivery approach.You will work in a collaborative cross-functional environment and interact with the full spectrum of colleagues (data engineers, data analysts, data scientists, operational support and policy makers), and you will need to inform and influence senior managers. Requirements of the Role Build strong relationships with colleagues across the business, understanding their motivations behind projects and own technical activities to translate business requirements (both functional and non-functional) into a solution. Ensuring the required business value is delivered. Fostering a customer centric approach to ensure delivery of business value and an iterative approach that responds to feedback and changing needs. Perform deep dives into technical areas to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will be responsible for ensuring that the solutions you help deliver form an integral part of the ICT estate and align with the wider reference architecture and domain roadmaps. Manage stakeholder expectations and be flexible, working on many different projects and topics at the same time period. Manage proactive and reactive communication. Facilitate difficult discussions within the team or with diverse senior stakeholders and external / 3rd parties as necessary. Provide documentation of solutions detailing the business, data, application and technology layers. Work with Data Engineers to define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills, knowledge and experience Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/ DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services Experience of working closely with Data Professionals (E.g. Data Scientists and Data Analysts) to understanding their needs. Experience of implementating of statistical, Artificial Intelligence, Machine Learning and Deep learning applications. Experience with integrations (e.g. via APIs) with external vendors to share data between organizations Experience of working with external technology supplier and service providers to deliver business solutions SFIA Skill Enterprise and business architecture STPL - Level 5 Solution architecture ARCH - Level 5 Requirements definition and management REQM- Level 5 Database design DBDS- Level 5 Analytics INAN- Level 4 Emerging Technology Monitoring (EMRG)- Level 4 Relationship Management RLMT- Level 5
Team Overview Data is central to Ofcom's work. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide key insights to inform policy decisions. In addition to existing regulatory responsibilities, there will be exciting opportunities to contribute to Ofcom's new duties in relation to the regulation of Online Harms. It is expected that this new area of work will expand the scope of data-driven activities at Ofcom in terms of the variety and volume of data, as well as the range of analysis we do. To ensure that Ofcom has the appropriate data capabilities to undertake the analysis effectively, ICT has created a new role for an Data Solutions Architect Purpose of the Role The Data Solutions Architect works closely with ICT and the Data Innovation Hub. You will architect, design, implement and oversee the operations of data solutions that empower data professionals to efficiently and effectively deliver their work. Candidates will exhibit critical thinking skills, the ability to synthesize complex problems, and have relevant skills and experience for enabling the transformation of data to create solutions that add value to a myriad of business requirements. You must have a deep understanding of the full data lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting. You will lead the design and development of solution architectures in response to business requirements. This includes identifying and evaluating alternative architectures, their trade-offs in cost, performance and scalability. And ensuring that the relevant technical strategies, policies, standards and practices (including security) are applied correctly. The end to end solution will be fit for purpose - i.e. meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions By maintaining your knowledge of emerging trends in data usage, tools and analysis techniques you will support our on-going development activities and continually promote data innovation as a means to achieve the business outcomes for specific Groups, and Ofcom. You will need to be self-motivated, an effective communicator and have a collaborative delivery approach.You will work in a collaborative cross-functional environment and interact with the full spectrum of colleagues (data engineers, data analysts, data scientists, operational support and policy makers), and you will need to inform and influence senior managers. Requirements of the Role Build strong relationships with colleagues across the business, understanding their motivations behind projects and own technical activities to translate business requirements (both functional and non-functional) into a solution. Ensuring the required business value is delivered. Fostering a customer centric approach to ensure delivery of business value and an iterative approach that responds to feedback and changing needs. Perform deep dives into technical areas to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will be responsible for ensuring that the solutions you help deliver form an integral part of the ICT estate and align with the wider reference architecture and domain roadmaps. Manage stakeholder expectations and be flexible, working on many different projects and topics at the same time period. Manage proactive and reactive communication. Facilitate difficult discussions within the team or with diverse senior stakeholders and external / 3rd parties as necessary. Provide documentation of solutions detailing the business, data, application and technology layers. Work with Data Engineers to define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills, knowledge and experience Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/ DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services Experience of working closely with Data Professionals (E.g. Data Scientists and Data Analysts) to understanding their needs. Experience of implementating of statistical, Artificial Intelligence, Machine Learning and Deep learning applications. Experience with integrations (e.g. via APIs) with external vendors to share data between organizations Experience of working with external technology supplier and service providers to deliver business solutions SFIA Skill Enterprise and business architecture STPL - Level 5 Solution architecture ARCH - Level 5 Requirements definition and management REQM- Level 5 Database design DBDS- Level 5 Analytics INAN- Level 4 Emerging Technology Monitoring (EMRG)- Level 4 Relationship Management RLMT- Level 5
Nov 04, 2021
Full time
Team Overview Data is central to Ofcom's work. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide key insights to inform policy decisions. In addition to existing regulatory responsibilities, there will be exciting opportunities to contribute to Ofcom's new duties in relation to the regulation of Online Harms. It is expected that this new area of work will expand the scope of data-driven activities at Ofcom in terms of the variety and volume of data, as well as the range of analysis we do. To ensure that Ofcom has the appropriate data capabilities to undertake the analysis effectively, ICT has created a new role for an Data Solutions Architect Purpose of the Role The Data Solutions Architect works closely with ICT and the Data Innovation Hub. You will architect, design, implement and oversee the operations of data solutions that empower data professionals to efficiently and effectively deliver their work. Candidates will exhibit critical thinking skills, the ability to synthesize complex problems, and have relevant skills and experience for enabling the transformation of data to create solutions that add value to a myriad of business requirements. You must have a deep understanding of the full data lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting. You will lead the design and development of solution architectures in response to business requirements. This includes identifying and evaluating alternative architectures, their trade-offs in cost, performance and scalability. And ensuring that the relevant technical strategies, policies, standards and practices (including security) are applied correctly. The end to end solution will be fit for purpose - i.e. meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions By maintaining your knowledge of emerging trends in data usage, tools and analysis techniques you will support our on-going development activities and continually promote data innovation as a means to achieve the business outcomes for specific Groups, and Ofcom. You will need to be self-motivated, an effective communicator and have a collaborative delivery approach.You will work in a collaborative cross-functional environment and interact with the full spectrum of colleagues (data engineers, data analysts, data scientists, operational support and policy makers), and you will need to inform and influence senior managers. Requirements of the Role Build strong relationships with colleagues across the business, understanding their motivations behind projects and own technical activities to translate business requirements (both functional and non-functional) into a solution. Ensuring the required business value is delivered. Fostering a customer centric approach to ensure delivery of business value and an iterative approach that responds to feedback and changing needs. Perform deep dives into technical areas to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will be responsible for ensuring that the solutions you help deliver form an integral part of the ICT estate and align with the wider reference architecture and domain roadmaps. Manage stakeholder expectations and be flexible, working on many different projects and topics at the same time period. Manage proactive and reactive communication. Facilitate difficult discussions within the team or with diverse senior stakeholders and external / 3rd parties as necessary. Provide documentation of solutions detailing the business, data, application and technology layers. Work with Data Engineers to define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills, knowledge and experience Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/ DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services Experience of working closely with Data Professionals (E.g. Data Scientists and Data Analysts) to understanding their needs. Experience of implementating of statistical, Artificial Intelligence, Machine Learning and Deep learning applications. Experience with integrations (e.g. via APIs) with external vendors to share data between organizations Experience of working with external technology supplier and service providers to deliver business solutions SFIA Skill Enterprise and business architecture STPL - Level 5 Solution architecture ARCH - Level 5 Requirements definition and management REQM- Level 5 Database design DBDS- Level 5 Analytics INAN- Level 4 Emerging Technology Monitoring (EMRG)- Level 4 Relationship Management RLMT- Level 5
Team Overview Data is central to Ofcom's work. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide key insights to inform policy decisions. In addition to existing regulatory responsibilities, there will be exciting opportunities to contribute to Ofcom's new duties in relation to the regulation of Online Harms. It is expected that this new area of work will expand the scope of data-driven activities at Ofcom in terms of the variety and volume of data, as well as the range of analysis we do. To ensure that Ofcom has the appropriate data capabilities to undertake the analysis effectively, ICT has created a new role for an Data Solutions Architect Purpose of the Role The Data Solutions Architect works closely with ICT and the Data Innovation Hub. You will architect, design, implement and oversee the operations of data solutions that empower data professionals to efficiently and effectively deliver their work. Candidates will exhibit critical thinking skills, the ability to synthesize complex problems, and have relevant skills and experience for enabling the transformation of data to create solutions that add value to a myriad of business requirements. You must have a deep understanding of the full data lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting. You will lead the design and development of solution architectures in response to business requirements. This includes identifying and evaluating alternative architectures, their trade-offs in cost, performance and scalability. And ensuring that the relevant technical strategies, policies, standards and practices (including security) are applied correctly. The end to end solution will be fit for purpose - i.e. meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions By maintaining your knowledge of emerging trends in data usage, tools and analysis techniques you will support our on-going development activities and continually promote data innovation as a means to achieve the business outcomes for specific Groups, and Ofcom. You will need to be self-motivated, an effective communicator and have a collaborative delivery approach.You will work in a collaborative cross-functional environment and interact with the full spectrum of colleagues (data engineers, data analysts, data scientists, operational support and policy makers), and you will need to inform and influence senior managers. Requirements of the Role Build strong relationships with colleagues across the business, understanding their motivations behind projects and own technical activities to translate business requirements (both functional and non-functional) into a solution. Ensuring the required business value is delivered. Fostering a customer centric approach to ensure delivery of business value and an iterative approach that responds to feedback and changing needs. Perform deep dives into technical areas to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will be responsible for ensuring that the solutions you help deliver form an integral part of the ICT estate and align with the wider reference architecture and domain roadmaps. Manage stakeholder expectations and be flexible, working on many different projects and topics at the same time period. Manage proactive and reactive communication. Facilitate difficult discussions within the team or with diverse senior stakeholders and external / 3rd parties as necessary. Provide documentation of solutions detailing the business, data, application and technology layers. Work with Data Engineers to define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills, knowledge and experience Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/ DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services Experience of working closely with Data Professionals (E.g. Data Scientists and Data Analysts) to understanding their needs. Experience of implementating of statistical, Artificial Intelligence, Machine Learning and Deep learning applications. Experience with integrations (e.g. via APIs) with external vendors to share data between organizations Experience of working with external technology supplier and service providers to deliver business solutions SFIA Skill Enterprise and business architecture STPL - Level 5 Solution architecture ARCH - Level 5 Requirements definition and management REQM- Level 5 Database design DBDS- Level 5 Analytics INAN- Level 4 Emerging Technology Monitoring (EMRG)- Level 4 Relationship Management RLMT- Level 5
Nov 04, 2021
Full time
Team Overview Data is central to Ofcom's work. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide key insights to inform policy decisions. In addition to existing regulatory responsibilities, there will be exciting opportunities to contribute to Ofcom's new duties in relation to the regulation of Online Harms. It is expected that this new area of work will expand the scope of data-driven activities at Ofcom in terms of the variety and volume of data, as well as the range of analysis we do. To ensure that Ofcom has the appropriate data capabilities to undertake the analysis effectively, ICT has created a new role for an Data Solutions Architect Purpose of the Role The Data Solutions Architect works closely with ICT and the Data Innovation Hub. You will architect, design, implement and oversee the operations of data solutions that empower data professionals to efficiently and effectively deliver their work. Candidates will exhibit critical thinking skills, the ability to synthesize complex problems, and have relevant skills and experience for enabling the transformation of data to create solutions that add value to a myriad of business requirements. You must have a deep understanding of the full data lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting. You will lead the design and development of solution architectures in response to business requirements. This includes identifying and evaluating alternative architectures, their trade-offs in cost, performance and scalability. And ensuring that the relevant technical strategies, policies, standards and practices (including security) are applied correctly. The end to end solution will be fit for purpose - i.e. meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions By maintaining your knowledge of emerging trends in data usage, tools and analysis techniques you will support our on-going development activities and continually promote data innovation as a means to achieve the business outcomes for specific Groups, and Ofcom. You will need to be self-motivated, an effective communicator and have a collaborative delivery approach.You will work in a collaborative cross-functional environment and interact with the full spectrum of colleagues (data engineers, data analysts, data scientists, operational support and policy makers), and you will need to inform and influence senior managers. Requirements of the Role Build strong relationships with colleagues across the business, understanding their motivations behind projects and own technical activities to translate business requirements (both functional and non-functional) into a solution. Ensuring the required business value is delivered. Fostering a customer centric approach to ensure delivery of business value and an iterative approach that responds to feedback and changing needs. Perform deep dives into technical areas to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will be responsible for ensuring that the solutions you help deliver form an integral part of the ICT estate and align with the wider reference architecture and domain roadmaps. Manage stakeholder expectations and be flexible, working on many different projects and topics at the same time period. Manage proactive and reactive communication. Facilitate difficult discussions within the team or with diverse senior stakeholders and external / 3rd parties as necessary. Provide documentation of solutions detailing the business, data, application and technology layers. Work with Data Engineers to define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills, knowledge and experience Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/ DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services Experience of working closely with Data Professionals (E.g. Data Scientists and Data Analysts) to understanding their needs. Experience of implementating of statistical, Artificial Intelligence, Machine Learning and Deep learning applications. Experience with integrations (e.g. via APIs) with external vendors to share data between organizations Experience of working with external technology supplier and service providers to deliver business solutions SFIA Skill Enterprise and business architecture STPL - Level 5 Solution architecture ARCH - Level 5 Requirements definition and management REQM- Level 5 Database design DBDS- Level 5 Analytics INAN- Level 4 Emerging Technology Monitoring (EMRG)- Level 4 Relationship Management RLMT- Level 5