Contract : Permanent Working Hours: 37 hours per week Salary: £50,296 - £53,460 Location: Kelvedon Park, London Road, Rivenhall, Witham, CM8 3HB Closing Date: 16 th August 2026 We are open to discuss working arrangements including flexibility over hours and location, however the expectation is that, as a hybrid role your work will be balanced between home and Services facilities, and you will be expected to attend the Service premises for at least 3 days of a 5-day working week. Do you have a passion for data and a desire to use it to make a meaningful impact? An exciting opportunity has arisen for a Senior Data Engineer to lead our Data Engineering function within the Performance and Analytics Team at Essex County Fire and Rescue Service. Working across our Microsoft Fabric data platform and on-premises databases, you will lead a small team responsible for delivering data models, pipelines and data science products that enable evidence-based decision making across the Service. Your work will help colleagues target resources and activities towards the areas of our communities most at risk of harm. What You Will Be Working On As Senior Data Engineer, you will: Lead and develop a small, talented team of data professionals. Design, build and maintain robust data engineering solutions using Microsoft Fabric and related technologies. Support the delivery of data science and analytics products that drive operational and strategic decision making. Promote best practice in data management, coding standards and documentation. Work collaboratively with stakeholders across the Service to understand business needs and translate them into effective data solutions. Provide technical leadership, guidance and mentoring to team members. What Are We Looking For? We are looking for a dynamic and inspiring leader with strong technical expertise and a genuine enthusiasm for using data to improve outcomes. You will have: Significant experience in data engineering, ideally within a Microsoft Fabric environment. Experience leading, mentoring and developing technical teams. Strong communication skills, with the ability to explain complex technical concepts to a range of audiences. The ability to produce clear, maintainable and reusable code and documentation. Experience working with multiple technologies, tools and programming languages. A commitment to continuous learning and professional development. Importantly, you will be comfortable working as part of a wider Performance and Analytics function, collaborating closely with analysts, data scientists and business stakeholders to deliver solutions that support organisational priorities. You will be a confident decision-maker, capable of balancing technical best practice with operational needs. You will understand that while engineering quality, resilience and sustainability are important, there will be times when the organisation needs pragmatic solutions delivered at pace. You will be able to assess competing priorities, make sound judgements and maintain a focus on achieving outcomes that provide value to the Service. We are looking for someone who can think strategically, understand the bigger organisational picture and ensure that data engineering decisions contribute to wider business objectives rather than solely technical considerations. If you are an internal candidate, you must have discussed your application with your line manager and confirmed with them there are no outstanding issues of conduct or performance. This will be verified prior to shortlisting. How to apply You will be required to submit a CV detailing a minimum of five years employment and / or education history, along with a supporting statement of no more than 750 words that demonstrates how you meet the essential criteria detailed in the Person Specification. You may submit this either as a word document, pdf, or an mp3 (voice note) or mp4 (video), however the word count of your supporting statement should not exceed 750 words no matter which format you choose to present your application. You may attach separate documents (such as qualifications) should you wish. Your CV and additional documents will be referred to in shortlisting to confirm eligibility (e.g., your current role and any existing qualifications). Assessment and selection: The assessment and selection approach will be: Stage 1 W/C 17th August 26' Application & shortlisting (assessment of your supporting statement will be made against the essential criteria) Stage 2 Interviews are currently planned for 27th August 26'. Role specific panel interview In-Tray Exercise Assessing Prioritisation, Communication and Decision-Making Should you wish to have an informal discussion with regards to the role, please contact Lucy Clayton, Head of Performance and Analytics on . Our Culture and Benefits Here at Essex County Fire and Rescue Service we are committed to prioritising and promoting the wellbeing of our employees. Important Information for Firefighter Pension Scheme Pensioners If you are currently in receipt of a pension from the Firefighter Pension Scheme, please note that taking up this role may affect your pension. Under pension abatement rules, if your earnings in this role, when combined with your pension, exceed your pre-retirement salary (adjusted for inflation), your pension may be reduced. Safeguarding Essex Police, Fire and Crime Commissioner Fire and Rescue Authority is committed to safeguarding and promoting the welfare of children and vulnerable adults and expects all employees and volunteers to share this commitment. It is our policy to require all applicants for employment to disclose if you are currently being investigated by any regulatory body or have any decisions or sanctions pending or in progress in respect of your suitability to work for the Service. You agree to inform the Service within 24 hours if you are subsequently investigated by any agency or organisation in relation to concerns about your behaviour towards children, young people or vulnerable adults. The information you provide will be treated as strictly confidential and will be considered only in relation to the appointment for which you are applying. This role will be subject to a Disclosure and Barring Service (DBS) check. Disability Confident We are an equal opportunity, Disability Confident, employer who welcomes applications from all backgrounds. We value diversity and are committed to creating a workplace where everyone is treated with dignity and respect. Applications are considered solely on merit.
Aug 18, 2026
Full time
Contract : Permanent Working Hours: 37 hours per week Salary: £50,296 - £53,460 Location: Kelvedon Park, London Road, Rivenhall, Witham, CM8 3HB Closing Date: 16 th August 2026 We are open to discuss working arrangements including flexibility over hours and location, however the expectation is that, as a hybrid role your work will be balanced between home and Services facilities, and you will be expected to attend the Service premises for at least 3 days of a 5-day working week. Do you have a passion for data and a desire to use it to make a meaningful impact? An exciting opportunity has arisen for a Senior Data Engineer to lead our Data Engineering function within the Performance and Analytics Team at Essex County Fire and Rescue Service. Working across our Microsoft Fabric data platform and on-premises databases, you will lead a small team responsible for delivering data models, pipelines and data science products that enable evidence-based decision making across the Service. Your work will help colleagues target resources and activities towards the areas of our communities most at risk of harm. What You Will Be Working On As Senior Data Engineer, you will: Lead and develop a small, talented team of data professionals. Design, build and maintain robust data engineering solutions using Microsoft Fabric and related technologies. Support the delivery of data science and analytics products that drive operational and strategic decision making. Promote best practice in data management, coding standards and documentation. Work collaboratively with stakeholders across the Service to understand business needs and translate them into effective data solutions. Provide technical leadership, guidance and mentoring to team members. What Are We Looking For? We are looking for a dynamic and inspiring leader with strong technical expertise and a genuine enthusiasm for using data to improve outcomes. You will have: Significant experience in data engineering, ideally within a Microsoft Fabric environment. Experience leading, mentoring and developing technical teams. Strong communication skills, with the ability to explain complex technical concepts to a range of audiences. The ability to produce clear, maintainable and reusable code and documentation. Experience working with multiple technologies, tools and programming languages. A commitment to continuous learning and professional development. Importantly, you will be comfortable working as part of a wider Performance and Analytics function, collaborating closely with analysts, data scientists and business stakeholders to deliver solutions that support organisational priorities. You will be a confident decision-maker, capable of balancing technical best practice with operational needs. You will understand that while engineering quality, resilience and sustainability are important, there will be times when the organisation needs pragmatic solutions delivered at pace. You will be able to assess competing priorities, make sound judgements and maintain a focus on achieving outcomes that provide value to the Service. We are looking for someone who can think strategically, understand the bigger organisational picture and ensure that data engineering decisions contribute to wider business objectives rather than solely technical considerations. If you are an internal candidate, you must have discussed your application with your line manager and confirmed with them there are no outstanding issues of conduct or performance. This will be verified prior to shortlisting. How to apply You will be required to submit a CV detailing a minimum of five years employment and / or education history, along with a supporting statement of no more than 750 words that demonstrates how you meet the essential criteria detailed in the Person Specification. You may submit this either as a word document, pdf, or an mp3 (voice note) or mp4 (video), however the word count of your supporting statement should not exceed 750 words no matter which format you choose to present your application. You may attach separate documents (such as qualifications) should you wish. Your CV and additional documents will be referred to in shortlisting to confirm eligibility (e.g., your current role and any existing qualifications). Assessment and selection: The assessment and selection approach will be: Stage 1 W/C 17th August 26' Application & shortlisting (assessment of your supporting statement will be made against the essential criteria) Stage 2 Interviews are currently planned for 27th August 26'. Role specific panel interview In-Tray Exercise Assessing Prioritisation, Communication and Decision-Making Should you wish to have an informal discussion with regards to the role, please contact Lucy Clayton, Head of Performance and Analytics on . Our Culture and Benefits Here at Essex County Fire and Rescue Service we are committed to prioritising and promoting the wellbeing of our employees. Important Information for Firefighter Pension Scheme Pensioners If you are currently in receipt of a pension from the Firefighter Pension Scheme, please note that taking up this role may affect your pension. Under pension abatement rules, if your earnings in this role, when combined with your pension, exceed your pre-retirement salary (adjusted for inflation), your pension may be reduced. Safeguarding Essex Police, Fire and Crime Commissioner Fire and Rescue Authority is committed to safeguarding and promoting the welfare of children and vulnerable adults and expects all employees and volunteers to share this commitment. It is our policy to require all applicants for employment to disclose if you are currently being investigated by any regulatory body or have any decisions or sanctions pending or in progress in respect of your suitability to work for the Service. You agree to inform the Service within 24 hours if you are subsequently investigated by any agency or organisation in relation to concerns about your behaviour towards children, young people or vulnerable adults. The information you provide will be treated as strictly confidential and will be considered only in relation to the appointment for which you are applying. This role will be subject to a Disclosure and Barring Service (DBS) check. Disability Confident We are an equal opportunity, Disability Confident, employer who welcomes applications from all backgrounds. We value diversity and are committed to creating a workplace where everyone is treated with dignity and respect. Applications are considered solely on merit.
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
Aug 18, 2026
Full time
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
Aug 18, 2026
Full time
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
Aug 18, 2026
Full time
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
Aug 17, 2026
Full time
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
Aug 17, 2026
Full time
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
Aug 17, 2026
Full time
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
Lead Data Scientist Fully Remote £90,000 £100,000 + Benefits Build the models behind real-time decision making at scale. Why this role stands out This isn t just another senior data science position. It s a chance to shape the future of analytics in one of the UK s most successful privately owned technology businesses, a market leader trusted by millions and driven by data at its core. You ll join a high-performing team working with real-time data, advanced machine learning, and large-scale analytical systems, with the freedom to influence both technical direction and best practice across the function. What you ll be doing As Lead Data Scientist, you ll combine deep technical work with strategic leadership: Design and deploy predictive models and ML solutions that power real-time markets. Work hands on with cutting-edge datasets, AI techniques, and scalable data pipelines. Identify patterns and insights that directly influence live business decisions. Collaborate closely with engineers, analysts, and platform teams to optimise performance and reliability. Drive best practice, mentor / coach across the Data Science function. This is a role where your ideas won t sit in a backlog for months They will have a visible impact in real time. About you You re an experienced data scientist who enjoys solving complex problems and helping others grow. We d love to hear from you if you have: Proven experience in a Senior or Lead Data Scientist role (preferably in sports, gaming or similar). A track record of mentoring teams and leading technical projects. A degree (BSc/MSc) in Data Science, Mathematics, Computer Science, or a related field. Strong programming skills in Python or R, with experience using frameworks such as Scikit-learn, PyTorch, or TensorFlow. Experience with cloud platforms or distributed computing (GCP preferred, but AWS or Azure also welcome). Exposure to neural networks (a plus, not a must). A genuine interest in sports and data-driven decision making. What you ll get in return Fully remote working with flexibility built in. £90,000 £100,000 salary plus additional benefits. Access to huge, high-quality datasets and modern ML tooling. The chance to work on intellectually challenging problems every day. Real influence over large-scale analytical systems and strategy. Clear opportunities for career growth within an expanding Data Science function. If you re passionate about analytics, machine learning, and building systems in real time, this could be the opportunity you ve been waiting for. Apply now to find out more.
Aug 17, 2026
Full time
Lead Data Scientist Fully Remote £90,000 £100,000 + Benefits Build the models behind real-time decision making at scale. Why this role stands out This isn t just another senior data science position. It s a chance to shape the future of analytics in one of the UK s most successful privately owned technology businesses, a market leader trusted by millions and driven by data at its core. You ll join a high-performing team working with real-time data, advanced machine learning, and large-scale analytical systems, with the freedom to influence both technical direction and best practice across the function. What you ll be doing As Lead Data Scientist, you ll combine deep technical work with strategic leadership: Design and deploy predictive models and ML solutions that power real-time markets. Work hands on with cutting-edge datasets, AI techniques, and scalable data pipelines. Identify patterns and insights that directly influence live business decisions. Collaborate closely with engineers, analysts, and platform teams to optimise performance and reliability. Drive best practice, mentor / coach across the Data Science function. This is a role where your ideas won t sit in a backlog for months They will have a visible impact in real time. About you You re an experienced data scientist who enjoys solving complex problems and helping others grow. We d love to hear from you if you have: Proven experience in a Senior or Lead Data Scientist role (preferably in sports, gaming or similar). A track record of mentoring teams and leading technical projects. A degree (BSc/MSc) in Data Science, Mathematics, Computer Science, or a related field. Strong programming skills in Python or R, with experience using frameworks such as Scikit-learn, PyTorch, or TensorFlow. Experience with cloud platforms or distributed computing (GCP preferred, but AWS or Azure also welcome). Exposure to neural networks (a plus, not a must). A genuine interest in sports and data-driven decision making. What you ll get in return Fully remote working with flexibility built in. £90,000 £100,000 salary plus additional benefits. Access to huge, high-quality datasets and modern ML tooling. The chance to work on intellectually challenging problems every day. Real influence over large-scale analytical systems and strategy. Clear opportunities for career growth within an expanding Data Science function. If you re passionate about analytics, machine learning, and building systems in real time, this could be the opportunity you ve been waiting for. Apply now to find out more.
Head Of Data (Analytics and Data Science) Location - 2 possible locations - Rochdale (Northern Hub) or London (Southern Hub) - Hybrid . 1 day in office, 4 days remote We're looking for an ambitious and commercially focused Head of Data (Analytics & Data Science) to lead and grow our data capability at a pivotal stage in our transformation journey. This is a high-profile leadership opportunity where you'll shape how data drives decision-making across the organisation, influence strategic priorities, and develop a talented team spanning data science, analytics and business intelligence. You'll combine strategic leadership with hands-on expertise, helping create innovative, data-driven solutions that deliver measurable business value. At Marston Holdings, we partner with public and private sector organisations to design, deliver and enforce essential services, combining operational expertise with market-leading technology. Data sits at the heart of our future growth, making this a role with genuine business wide impact. What you'll be doing: Lead, develop and inspire a team of analysts and data scientists, fostering a high-performance culture. Identify opportunities to drive efficiencies, performance improvements and strategic change through data. Shape and expand our Data Science and AI capability, developing roadmaps and delivering measurable outcomes. Work closely with data engineering and business stakeholders to create and maintain a trusted, single version of the truth. Influence both data strategy and wider business strategy, ensuring the right skills, tools and resources are in place for future success. Support the delivery of high-quality analytics, insights and data products that create tangible business value. Communicate complex findings clearly and persuasively to senior leaders, executives and board-level stakeholders. Champion an insight-led culture across the organisation. What we're looking for: Essential: Proven experience leading and developing data teams across at least two of the following areas: reporting, analytics and data science. Strong track record of identifying business opportunities and delivering value through data-driven initiatives. Hands-on technical expertise in SQL and working with large, complex datasets. Experience with tools such as Power BI, Tableau, Python, statistics and/or machine learning. Exceptional stakeholder management and communication skills, with the ability to influence at senior levels. A proactive, can-do attitude, with the ability to thrive in a fast-paced environment. Degree-level education in Mathematics, Statistics, Economics or a related discipline. Desirable Experience within enforcement, compliance or other regulated industries. Knowledge of operational performance metrics and case management environments What you will get in return: 25 annual leave days plus bank holidays Car Allowance Enhanced Maternity and Paternity Package NB subject to eligibility criteria. Health Cash Back Plan Staff benefits designed to suit you, from discounts on high street and online shopping to travel, socialising and wellbeing. Pension Scheme If this sounds like the job for you, please apply . New starters will be subject to clearance through the Disclosure and Barring Service and a County Court Judgment check. In addition, the post holder is expected to keep the Company updated if their personal circumstances change. We are an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and their passion for creating better outcomes, and we're committed to creating an inclusive environment for all employees
Aug 17, 2026
Full time
Head Of Data (Analytics and Data Science) Location - 2 possible locations - Rochdale (Northern Hub) or London (Southern Hub) - Hybrid . 1 day in office, 4 days remote We're looking for an ambitious and commercially focused Head of Data (Analytics & Data Science) to lead and grow our data capability at a pivotal stage in our transformation journey. This is a high-profile leadership opportunity where you'll shape how data drives decision-making across the organisation, influence strategic priorities, and develop a talented team spanning data science, analytics and business intelligence. You'll combine strategic leadership with hands-on expertise, helping create innovative, data-driven solutions that deliver measurable business value. At Marston Holdings, we partner with public and private sector organisations to design, deliver and enforce essential services, combining operational expertise with market-leading technology. Data sits at the heart of our future growth, making this a role with genuine business wide impact. What you'll be doing: Lead, develop and inspire a team of analysts and data scientists, fostering a high-performance culture. Identify opportunities to drive efficiencies, performance improvements and strategic change through data. Shape and expand our Data Science and AI capability, developing roadmaps and delivering measurable outcomes. Work closely with data engineering and business stakeholders to create and maintain a trusted, single version of the truth. Influence both data strategy and wider business strategy, ensuring the right skills, tools and resources are in place for future success. Support the delivery of high-quality analytics, insights and data products that create tangible business value. Communicate complex findings clearly and persuasively to senior leaders, executives and board-level stakeholders. Champion an insight-led culture across the organisation. What we're looking for: Essential: Proven experience leading and developing data teams across at least two of the following areas: reporting, analytics and data science. Strong track record of identifying business opportunities and delivering value through data-driven initiatives. Hands-on technical expertise in SQL and working with large, complex datasets. Experience with tools such as Power BI, Tableau, Python, statistics and/or machine learning. Exceptional stakeholder management and communication skills, with the ability to influence at senior levels. A proactive, can-do attitude, with the ability to thrive in a fast-paced environment. Degree-level education in Mathematics, Statistics, Economics or a related discipline. Desirable Experience within enforcement, compliance or other regulated industries. Knowledge of operational performance metrics and case management environments What you will get in return: 25 annual leave days plus bank holidays Car Allowance Enhanced Maternity and Paternity Package NB subject to eligibility criteria. Health Cash Back Plan Staff benefits designed to suit you, from discounts on high street and online shopping to travel, socialising and wellbeing. Pension Scheme If this sounds like the job for you, please apply . New starters will be subject to clearance through the Disclosure and Barring Service and a County Court Judgment check. In addition, the post holder is expected to keep the Company updated if their personal circumstances change. We are an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and their passion for creating better outcomes, and we're committed to creating an inclusive environment for all employees
Senior Data Consultant 60k - 90k per annum + Bonus and Benefits London, Manchester or Glasgow / Hybrid Are you passionate about helping organisations unlock the power of trusted data and AI? Do you enjoy solving complex business challenges, influencing senior stakeholders and shaping data strategies that deliver real impact? This is your opportunity to join a leading global technology consulting organisation at the forefront of Data, Analytics and AI. Working with high-profile clients across a range of industries, you'll help design the data foundations that power AI, advanced analytics and intelligent business transformation. Whether you're an experienced Consultant ready for your next challenge or a Senior Consultant looking to lead strategic engagements, this is a fantastic opportunity to work on cutting-edge projects while developing your expertise in one of the fastest-growing areas of technology consulting. What you'll be doing As a trusted advisor, you'll help clients build robust data management capabilities that enable innovation, responsible AI and better business decisions. You'll: Advise clients on data management, governance and AI strategies, helping shape vision, roadmaps and business cases that maximise the value of data. Design and implement data management operating models, including governance frameworks, stewardship, policies, standards and processes. Lead or contribute to data governance, data quality, metadata management, master data management (MDM), data lineage and catalogue initiatives. Translate complex technical concepts into clear business outcomes, influencing senior stakeholders and driving organisational change. Work closely with architects, engineers, developers and data scientists to embed governance, quality and compliance into modern data platforms and AI solutions. Support the delivery of trusted, ethical and compliant AI through strong data foundations and governance practices. At Senior Consultant level, lead workstreams, mentor colleagues, contribute to thought leadership and support business development activities including proposals, bids and client presentations. What we're looking for You'll bring a blend of consulting expertise, technical knowledge and stakeholder management skills, including: Proven experience designing and delivering data management, data governance or Master Data Management (MDM) solutions within consulting or industry. Experience delivering initiatives such as data catalogues, metadata management, data lineage, data quality, master data consolidation or governance frameworks. Hands-on experience with at least one leading data governance or data management platform, such as Informatica, Collibra, Alation, Ataccama or Microsoft Purview. Experience defining and embedding data stewardship models, governance processes and operating frameworks. Strong communication, consulting and stakeholder management skills, with the ability to influence both technical and non-technical audiences. A collaborative mindset with excellent problem-solving abilities and a genuine interest in AI, emerging technologies and data-driven transformation. Desirable: Experience with AI governance, Responsible AI, AI data preparation, model lifecycle management, bias detection, explainability or the DAMA DMBOK framework. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Management Consultant, Data Governance Consultant, Senior Data Consultant, Data Strategy Consultant, Master Data Management (MDM) Consultant, Data Governance Lead, Data Architect, Enterprise Data Architect, Data Engineer, Information Management Consultant, Metadata Specialist, Data Quality Consultant, Data Stewardship Lead, Microsoft Purview, Collibra, Informatica, Alation, Ataccama, DAMA DMBOK, AI Governance, Responsible AI, Data Lineage, Metadata Management, Data Catalogue, Data Quality, Master Data Management. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Aug 16, 2026
Full time
Senior Data Consultant 60k - 90k per annum + Bonus and Benefits London, Manchester or Glasgow / Hybrid Are you passionate about helping organisations unlock the power of trusted data and AI? Do you enjoy solving complex business challenges, influencing senior stakeholders and shaping data strategies that deliver real impact? This is your opportunity to join a leading global technology consulting organisation at the forefront of Data, Analytics and AI. Working with high-profile clients across a range of industries, you'll help design the data foundations that power AI, advanced analytics and intelligent business transformation. Whether you're an experienced Consultant ready for your next challenge or a Senior Consultant looking to lead strategic engagements, this is a fantastic opportunity to work on cutting-edge projects while developing your expertise in one of the fastest-growing areas of technology consulting. What you'll be doing As a trusted advisor, you'll help clients build robust data management capabilities that enable innovation, responsible AI and better business decisions. You'll: Advise clients on data management, governance and AI strategies, helping shape vision, roadmaps and business cases that maximise the value of data. Design and implement data management operating models, including governance frameworks, stewardship, policies, standards and processes. Lead or contribute to data governance, data quality, metadata management, master data management (MDM), data lineage and catalogue initiatives. Translate complex technical concepts into clear business outcomes, influencing senior stakeholders and driving organisational change. Work closely with architects, engineers, developers and data scientists to embed governance, quality and compliance into modern data platforms and AI solutions. Support the delivery of trusted, ethical and compliant AI through strong data foundations and governance practices. At Senior Consultant level, lead workstreams, mentor colleagues, contribute to thought leadership and support business development activities including proposals, bids and client presentations. What we're looking for You'll bring a blend of consulting expertise, technical knowledge and stakeholder management skills, including: Proven experience designing and delivering data management, data governance or Master Data Management (MDM) solutions within consulting or industry. Experience delivering initiatives such as data catalogues, metadata management, data lineage, data quality, master data consolidation or governance frameworks. Hands-on experience with at least one leading data governance or data management platform, such as Informatica, Collibra, Alation, Ataccama or Microsoft Purview. Experience defining and embedding data stewardship models, governance processes and operating frameworks. Strong communication, consulting and stakeholder management skills, with the ability to influence both technical and non-technical audiences. A collaborative mindset with excellent problem-solving abilities and a genuine interest in AI, emerging technologies and data-driven transformation. Desirable: Experience with AI governance, Responsible AI, AI data preparation, model lifecycle management, bias detection, explainability or the DAMA DMBOK framework. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Management Consultant, Data Governance Consultant, Senior Data Consultant, Data Strategy Consultant, Master Data Management (MDM) Consultant, Data Governance Lead, Data Architect, Enterprise Data Architect, Data Engineer, Information Management Consultant, Metadata Specialist, Data Quality Consultant, Data Stewardship Lead, Microsoft Purview, Collibra, Informatica, Alation, Ataccama, DAMA DMBOK, AI Governance, Responsible AI, Data Lineage, Metadata Management, Data Catalogue, Data Quality, Master Data Management. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Product Owner Shape the future of intelligent sensing and advanced analytics. We're looking for an experienced Product Owner to lead the vision and delivery of a sophisticated analytics platform that transforms complex sensor data into meaningful operational insight. Working at the intersection of product, engineering and data science, you'll define priorities, drive measurable improvements, and ensure analytics capabilities continue to evolve in line with customer needs and technical innovation. Key Responsibilities Define and own the product roadmap for a complex analytics platform, balancing short and long-term priorities. Lead the product backlog, ensuring requirements are clearly defined and ready for delivery. Establish measurable performance targets for analytics, tracking, classification and decision-support capabilities. Work closely with data scientists to translate machine learning and analytical models into production-ready features. Collaborate with software engineers, technical specialists and customers to refine requirements and validate delivered functionality. Monitor product performance using data and metrics, driving continuous improvement through evidence-based decision making. Support agile delivery by prioritising work, accepting completed features and maintaining alignment across multidisciplinary teams. Spend time with customers and operational users to understand workflows and ensure the product delivers real-world value. Requirements Experience as a Product Owner or Product Manager delivering complex software or analytics-based products. Strong understanding of sensor data processing, tracking, data fusion or advanced analytics. A data-driven approach with experience defining KPIs, measuring performance and using evidence to prioritise product decisions. Experience working alongside data science and engineering teams to deliver technical products. Proven ability to translate customer and operational requirements into clear, prioritised user stories and product backlogs. Experience using Azure DevOps or similar agile work management tools. Excellent communication and stakeholder management skills, with the ability to work across technical and non-technical teams. Desirable Experience within defence, aerospace, security, autonomous systems or other high-technology engineering sectors. Knowledge of radar, RF, electro-optical or other sensor technologies. Background in engineering, physics, mathematics, data science or a related technical discipline. Experience delivering AI, machine learning or analytics-driven products. Familiarity with decision-support systems or operational software platforms. Please note: This is a hybrid role based around regular attendance at the Reading office, with occasional travel to operational sites
Aug 15, 2026
Full time
Product Owner Shape the future of intelligent sensing and advanced analytics. We're looking for an experienced Product Owner to lead the vision and delivery of a sophisticated analytics platform that transforms complex sensor data into meaningful operational insight. Working at the intersection of product, engineering and data science, you'll define priorities, drive measurable improvements, and ensure analytics capabilities continue to evolve in line with customer needs and technical innovation. Key Responsibilities Define and own the product roadmap for a complex analytics platform, balancing short and long-term priorities. Lead the product backlog, ensuring requirements are clearly defined and ready for delivery. Establish measurable performance targets for analytics, tracking, classification and decision-support capabilities. Work closely with data scientists to translate machine learning and analytical models into production-ready features. Collaborate with software engineers, technical specialists and customers to refine requirements and validate delivered functionality. Monitor product performance using data and metrics, driving continuous improvement through evidence-based decision making. Support agile delivery by prioritising work, accepting completed features and maintaining alignment across multidisciplinary teams. Spend time with customers and operational users to understand workflows and ensure the product delivers real-world value. Requirements Experience as a Product Owner or Product Manager delivering complex software or analytics-based products. Strong understanding of sensor data processing, tracking, data fusion or advanced analytics. A data-driven approach with experience defining KPIs, measuring performance and using evidence to prioritise product decisions. Experience working alongside data science and engineering teams to deliver technical products. Proven ability to translate customer and operational requirements into clear, prioritised user stories and product backlogs. Experience using Azure DevOps or similar agile work management tools. Excellent communication and stakeholder management skills, with the ability to work across technical and non-technical teams. Desirable Experience within defence, aerospace, security, autonomous systems or other high-technology engineering sectors. Knowledge of radar, RF, electro-optical or other sensor technologies. Background in engineering, physics, mathematics, data science or a related technical discipline. Experience delivering AI, machine learning or analytics-driven products. Familiarity with decision-support systems or operational software platforms. Please note: This is a hybrid role based around regular attendance at the Reading office, with occasional travel to operational sites
Senior Google Cloud Architect Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission As Senior Google Cloud Architect , you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation ai products. This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is customer-facing, working closely with business and technical influencers, and will require a background in Computer Science. Successful candidates will bring multiple years' experience with cloud platforms like Google Cloud or AWS. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms. What You'll Do Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers. Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects. Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic's capabilities and methodologies. Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence. Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements. Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance. Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders. Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives. Knowledge Sharing: Contribute to Datatonic's internal knowledge base, including technical collateral and thought leadership materials. Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers. Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively. Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation. What You'll Bring Educational Background: Bachelor's or Master's degree in Computer Science or a related technical discipline. Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures. End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions. Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence. Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals. Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels. Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals. Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking. Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects. Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code. Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs. Bonus Points If You Have: Certifications: Google Cloud or AWS Certified Solutions Architect certification. ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink. Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc. Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik. Agile Methodologies: Familiarity with Agile frameworks, including Scrum. Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred. Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation. What's in It for You? We believe in empowering our team to thrive, with benefits including: Holiday : 25 days plus bank holidays (obviously!) Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation) Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice) Hybrid Model: 1200 kr WFH Equipment Allowance (after probation) Learning & Growth: Access to platforms like Udemy to fuel your curiosity. Pension: Private Salary Sacrifice Pension available Why Datatonic? Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you! Are you ready to make an impact? Apply now and take your career to the next level. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Aug 15, 2026
Full time
Senior Google Cloud Architect Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission As Senior Google Cloud Architect , you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation ai products. This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is customer-facing, working closely with business and technical influencers, and will require a background in Computer Science. Successful candidates will bring multiple years' experience with cloud platforms like Google Cloud or AWS. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms. What You'll Do Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers. Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects. Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic's capabilities and methodologies. Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence. Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements. Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance. Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders. Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives. Knowledge Sharing: Contribute to Datatonic's internal knowledge base, including technical collateral and thought leadership materials. Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers. Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively. Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation. What You'll Bring Educational Background: Bachelor's or Master's degree in Computer Science or a related technical discipline. Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures. End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions. Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence. Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals. Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels. Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals. Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking. Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects. Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code. Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs. Bonus Points If You Have: Certifications: Google Cloud or AWS Certified Solutions Architect certification. ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink. Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc. Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik. Agile Methodologies: Familiarity with Agile frameworks, including Scrum. Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred. Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation. What's in It for You? We believe in empowering our team to thrive, with benefits including: Holiday : 25 days plus bank holidays (obviously!) Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation) Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice) Hybrid Model: 1200 kr WFH Equipment Allowance (after probation) Learning & Growth: Access to platforms like Udemy to fuel your curiosity. Pension: Private Salary Sacrifice Pension available Why Datatonic? Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you! Are you ready to make an impact? Apply now and take your career to the next level. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
SRT Marine Systems plc
Gloucester, Gloucestershire
SRT Marine Systems plc (SRT) is a market leader in the domain of international marine surveillance technology and systems. We are a respected, established, and an ambitious multi-national company headquartered in the UK with a global customer base. The company has a worldwide impact in the marine sector by leading the next generation of maritime domain awareness technologies "MDA", products, and systems that significantly enhance security, safety, environmental protection, and sustainability. Our customers are global and range from the largest national coast guards to individual vessel owners. SRT is an exciting company where high-quality results are rewarded. We are ambitious and constantly seek to innovate in order to deliver better products and services to our customers. We strive to make SRT a rewarding and challenging place to work, where talented, hard-working individuals have the opportunity to make a real impact across the marine industry. This is an exciting opportunity for a Data Visualisation Designer with specialist experience in geospatial data visualisation to help design the next generation of maritime domain surveillance products. This person will create visually striking, highly usable 2D and 3D visualisations that help customers explore large maritime datasets, understand activity patterns, identify trends, and interpret intelligence derived from our data. This is a product design role for custom software, not a business intelligence or dashboard reporting role. The ideal candidate for the role of Data Visualisation Designer combines strong UI craft with cartographic thinking, data visualisation expertise, and an ability to work closely with engineers to turn complex geospatial concepts into elegant,performant, operationally useful product experiences. Please note - the role of Data Visualisation Designer is a hybrid working role with your office being Bristol. Key Responsibilities - Data Visualisation Designer (not exhaustive): Design high-quality 2D and 3D geospatial visualisations for maritime surveillance, intelligence analysis and operational decision-making. Turn complex maritime datasets into clear visual patterns, trends, anomalies, behaviours and insight-led user journeys. Create wireframes, prototypes, interaction models and polished UI designs for map-led product experiences. Design visual treatments for vessel tracks, movement histories, density maps, heatmaps, clusters, routes, zones, alerts, sensor coverage and analytical overlays. Work with product managers, engineers, data scientists and maritime domain experts to understand customer workflows and mission needs. Define visual systems for geospatial data, including colour, symbology, hierarchy, confidence, uncertainty, severity and temporal change. Prototype advanced visualisation concepts using tools such as Figma, Kepler.gl, deck.gl, Mapbox, Cesium, D3, QGIS or similar. Partner with front-end engineers to ensure designs can be implemented effectively in custom web software at large data scale. Test and refine designs with internal experts and customer users, balancing visual impact, analytical clarity and operational usability. Skills & Experience - Data Visualisation Designer (not exhaustive): Strong portfolio showing advanced data visualisation, geospatial interfaces, map-based products or complex analytical software. Proven UX/UI design experience in custom software products, ideally B2B, SaaS, defence, maritime, intelligence, logistics, GIS or another complex domain. Excellent visual design craft, with strong judgement around layout, hierarchy, typography, colour, interaction states andinformation density. Good understanding of cartographic design principles, including layers, projections, scale, symbology, spatial relationships and map readability. Experience designing for large or complex datasets, including aggregation, filtering, clustering, zoom-level behaviour and progressive disclosure. Familiarity with geospatial and visualisation tools or libraries such as Kepler.gl, deck.gl, Mapbox GL JS, CesiumJS, D3, Three.js, QGIS or ArcGIS. Ability to design 3D geospatial experiences such as globes, terrain, extruded data, sensor volumes, movement paths or layered operational scenes. Comfortable working with technical teams and discussing APIs, data schemas, rendering constraints, front-end implementation and performance trade-offs. Strong grasp of data storytelling and visual analytics: helping users move from raw data to interpretation, insight and action. Interest in maritime domain awareness, vessel behaviour, earth observation, remote sensing, intelligence analysis or national security use cases. Benefits Package Excellent salary and package Private health care Career Development opportunities SRT Marine Systems plc are an equal opportunity employer. We are committed to creating an inclusive working environment for all employees and actively encourage applications from all sectors of the community.
Aug 14, 2026
Full time
SRT Marine Systems plc (SRT) is a market leader in the domain of international marine surveillance technology and systems. We are a respected, established, and an ambitious multi-national company headquartered in the UK with a global customer base. The company has a worldwide impact in the marine sector by leading the next generation of maritime domain awareness technologies "MDA", products, and systems that significantly enhance security, safety, environmental protection, and sustainability. Our customers are global and range from the largest national coast guards to individual vessel owners. SRT is an exciting company where high-quality results are rewarded. We are ambitious and constantly seek to innovate in order to deliver better products and services to our customers. We strive to make SRT a rewarding and challenging place to work, where talented, hard-working individuals have the opportunity to make a real impact across the marine industry. This is an exciting opportunity for a Data Visualisation Designer with specialist experience in geospatial data visualisation to help design the next generation of maritime domain surveillance products. This person will create visually striking, highly usable 2D and 3D visualisations that help customers explore large maritime datasets, understand activity patterns, identify trends, and interpret intelligence derived from our data. This is a product design role for custom software, not a business intelligence or dashboard reporting role. The ideal candidate for the role of Data Visualisation Designer combines strong UI craft with cartographic thinking, data visualisation expertise, and an ability to work closely with engineers to turn complex geospatial concepts into elegant,performant, operationally useful product experiences. Please note - the role of Data Visualisation Designer is a hybrid working role with your office being Bristol. Key Responsibilities - Data Visualisation Designer (not exhaustive): Design high-quality 2D and 3D geospatial visualisations for maritime surveillance, intelligence analysis and operational decision-making. Turn complex maritime datasets into clear visual patterns, trends, anomalies, behaviours and insight-led user journeys. Create wireframes, prototypes, interaction models and polished UI designs for map-led product experiences. Design visual treatments for vessel tracks, movement histories, density maps, heatmaps, clusters, routes, zones, alerts, sensor coverage and analytical overlays. Work with product managers, engineers, data scientists and maritime domain experts to understand customer workflows and mission needs. Define visual systems for geospatial data, including colour, symbology, hierarchy, confidence, uncertainty, severity and temporal change. Prototype advanced visualisation concepts using tools such as Figma, Kepler.gl, deck.gl, Mapbox, Cesium, D3, QGIS or similar. Partner with front-end engineers to ensure designs can be implemented effectively in custom web software at large data scale. Test and refine designs with internal experts and customer users, balancing visual impact, analytical clarity and operational usability. Skills & Experience - Data Visualisation Designer (not exhaustive): Strong portfolio showing advanced data visualisation, geospatial interfaces, map-based products or complex analytical software. Proven UX/UI design experience in custom software products, ideally B2B, SaaS, defence, maritime, intelligence, logistics, GIS or another complex domain. Excellent visual design craft, with strong judgement around layout, hierarchy, typography, colour, interaction states andinformation density. Good understanding of cartographic design principles, including layers, projections, scale, symbology, spatial relationships and map readability. Experience designing for large or complex datasets, including aggregation, filtering, clustering, zoom-level behaviour and progressive disclosure. Familiarity with geospatial and visualisation tools or libraries such as Kepler.gl, deck.gl, Mapbox GL JS, CesiumJS, D3, Three.js, QGIS or ArcGIS. Ability to design 3D geospatial experiences such as globes, terrain, extruded data, sensor volumes, movement paths or layered operational scenes. Comfortable working with technical teams and discussing APIs, data schemas, rendering constraints, front-end implementation and performance trade-offs. Strong grasp of data storytelling and visual analytics: helping users move from raw data to interpretation, insight and action. Interest in maritime domain awareness, vessel behaviour, earth observation, remote sensing, intelligence analysis or national security use cases. Benefits Package Excellent salary and package Private health care Career Development opportunities SRT Marine Systems plc are an equal opportunity employer. We are committed to creating an inclusive working environment for all employees and actively encourage applications from all sectors of the community.
SRT Marine Systems plc (SRT) is a market leader in the domain of international marine surveillance technology and systems. We are a respected, established, and an ambitious multi-national company headquartered in the UK with a global customer base. The company has a worldwide impact in the marine sector by leading the next generation of maritime domain awareness technologies "MDA", products, and systems that significantly enhance security, safety, environmental protection, and sustainability. Our customers are global and range from the largest national coast guards to individual vessel owners. SRT is an exciting company where high-quality results are rewarded. We are ambitious and constantly seek to innovate in order to deliver better products and services to our customers. We strive to make SRT a rewarding and challenging place to work, where talented, hard-working individuals have the opportunity to make a real impact across the marine industry. This is an exciting opportunity for a Data Visualisation Designer with specialist experience in geospatial data visualisation to help design the next generation of maritime domain surveillance products. This person will create visually striking, highly usable 2D and 3D visualisations that help customers explore large maritime datasets, understand activity patterns, identify trends, and interpret intelligence derived from our data. This is a product design role for custom software, not a business intelligence or dashboard reporting role. The ideal candidate for the role of Data Visualisation Designer combines strong UI craft with cartographic thinking, data visualisation expertise, and an ability to work closely with engineers to turn complex geospatial concepts into elegant,performant, operationally useful product experiences. Please note - the role of Data Visualisation Designer is a hybrid working role with your office being Bristol. Key Responsibilities - Data Visualisation Designer (not exhaustive): Design high-quality 2D and 3D geospatial visualisations for maritime surveillance, intelligence analysis and operational decision-making. Turn complex maritime datasets into clear visual patterns, trends, anomalies, behaviours and insight-led user journeys. Create wireframes, prototypes, interaction models and polished UI designs for map-led product experiences. Design visual treatments for vessel tracks, movement histories, density maps, heatmaps, clusters, routes, zones, alerts, sensor coverage and analytical overlays. Work with product managers, engineers, data scientists and maritime domain experts to understand customer workflows and mission needs. Define visual systems for geospatial data, including colour, symbology, hierarchy, confidence, uncertainty, severity and temporal change. Prototype advanced visualisation concepts using tools such as Figma, Kepler.gl, deck.gl, Mapbox, Cesium, D3, QGIS or similar. Partner with front-end engineers to ensure designs can be implemented effectively in custom web software at large data scale. Test and refine designs with internal experts and customer users, balancing visual impact, analytical clarity and operational usability. Skills & Experience - Data Visualisation Designer (not exhaustive): Strong portfolio showing advanced data visualisation, geospatial interfaces, map-based products or complex analytical software. Proven UX/UI design experience in custom software products, ideally B2B, SaaS, defence, maritime, intelligence, logistics, GIS or another complex domain. Excellent visual design craft, with strong judgement around layout, hierarchy, typography, colour, interaction states andinformation density. Good understanding of cartographic design principles, including layers, projections, scale, symbology, spatial relationships and map readability. Experience designing for large or complex datasets, including aggregation, filtering, clustering, zoom-level behaviour and progressive disclosure. Familiarity with geospatial and visualisation tools or libraries such as Kepler.gl, deck.gl, Mapbox GL JS, CesiumJS, D3, Three.js, QGIS or ArcGIS. Ability to design 3D geospatial experiences such as globes, terrain, extruded data, sensor volumes, movement paths or layered operational scenes. Comfortable working with technical teams and discussing APIs, data schemas, rendering constraints, front-end implementation and performance trade-offs. Strong grasp of data storytelling and visual analytics: helping users move from raw data to interpretation, insight and action. Interest in maritime domain awareness, vessel behaviour, earth observation, remote sensing, intelligence analysis or national security use cases. Benefits Package Excellent salary and package Private health care Career Development opportunities SRT Marine Systems plc are an equal opportunity employer. We are committed to creating an inclusive working environment for all employees and actively encourage applications from all sectors of the community.
Aug 14, 2026
Full time
SRT Marine Systems plc (SRT) is a market leader in the domain of international marine surveillance technology and systems. We are a respected, established, and an ambitious multi-national company headquartered in the UK with a global customer base. The company has a worldwide impact in the marine sector by leading the next generation of maritime domain awareness technologies "MDA", products, and systems that significantly enhance security, safety, environmental protection, and sustainability. Our customers are global and range from the largest national coast guards to individual vessel owners. SRT is an exciting company where high-quality results are rewarded. We are ambitious and constantly seek to innovate in order to deliver better products and services to our customers. We strive to make SRT a rewarding and challenging place to work, where talented, hard-working individuals have the opportunity to make a real impact across the marine industry. This is an exciting opportunity for a Data Visualisation Designer with specialist experience in geospatial data visualisation to help design the next generation of maritime domain surveillance products. This person will create visually striking, highly usable 2D and 3D visualisations that help customers explore large maritime datasets, understand activity patterns, identify trends, and interpret intelligence derived from our data. This is a product design role for custom software, not a business intelligence or dashboard reporting role. The ideal candidate for the role of Data Visualisation Designer combines strong UI craft with cartographic thinking, data visualisation expertise, and an ability to work closely with engineers to turn complex geospatial concepts into elegant,performant, operationally useful product experiences. Please note - the role of Data Visualisation Designer is a hybrid working role with your office being Bristol. Key Responsibilities - Data Visualisation Designer (not exhaustive): Design high-quality 2D and 3D geospatial visualisations for maritime surveillance, intelligence analysis and operational decision-making. Turn complex maritime datasets into clear visual patterns, trends, anomalies, behaviours and insight-led user journeys. Create wireframes, prototypes, interaction models and polished UI designs for map-led product experiences. Design visual treatments for vessel tracks, movement histories, density maps, heatmaps, clusters, routes, zones, alerts, sensor coverage and analytical overlays. Work with product managers, engineers, data scientists and maritime domain experts to understand customer workflows and mission needs. Define visual systems for geospatial data, including colour, symbology, hierarchy, confidence, uncertainty, severity and temporal change. Prototype advanced visualisation concepts using tools such as Figma, Kepler.gl, deck.gl, Mapbox, Cesium, D3, QGIS or similar. Partner with front-end engineers to ensure designs can be implemented effectively in custom web software at large data scale. Test and refine designs with internal experts and customer users, balancing visual impact, analytical clarity and operational usability. Skills & Experience - Data Visualisation Designer (not exhaustive): Strong portfolio showing advanced data visualisation, geospatial interfaces, map-based products or complex analytical software. Proven UX/UI design experience in custom software products, ideally B2B, SaaS, defence, maritime, intelligence, logistics, GIS or another complex domain. Excellent visual design craft, with strong judgement around layout, hierarchy, typography, colour, interaction states andinformation density. Good understanding of cartographic design principles, including layers, projections, scale, symbology, spatial relationships and map readability. Experience designing for large or complex datasets, including aggregation, filtering, clustering, zoom-level behaviour and progressive disclosure. Familiarity with geospatial and visualisation tools or libraries such as Kepler.gl, deck.gl, Mapbox GL JS, CesiumJS, D3, Three.js, QGIS or ArcGIS. Ability to design 3D geospatial experiences such as globes, terrain, extruded data, sensor volumes, movement paths or layered operational scenes. Comfortable working with technical teams and discussing APIs, data schemas, rendering constraints, front-end implementation and performance trade-offs. Strong grasp of data storytelling and visual analytics: helping users move from raw data to interpretation, insight and action. Interest in maritime domain awareness, vessel behaviour, earth observation, remote sensing, intelligence analysis or national security use cases. Benefits Package Excellent salary and package Private health care Career Development opportunities SRT Marine Systems plc are an equal opportunity employer. We are committed to creating an inclusive working environment for all employees and actively encourage applications from all sectors of the community.
SRT Marine Systems plc (SRT) is a market leader in the domain of international marine surveillance technology and systems. We are a respected, established, and an ambitious multi-national company headquartered in the UK with a global customer base. The company has a worldwide impact in the marine sector by leading the next generation of maritime domain awareness technologies "MDA", products, and systems that significantly enhance security, safety, environmental protection, and sustainability. Our customers are global and range from the largest national coast guards to individual vessel owners. SRT is an exciting company where high-quality results are rewarded. We are ambitious and constantly seek to innovate in order to deliver better products and services to our customers. We strive to make SRT a rewarding and challenging place to work, where talented, hard-working individuals have the opportunity to make a real impact across the marine industry. This is an exciting opportunity for a Data Visualisation Designer with specialist experience in geospatial data visualisation to help design the next generation of maritime domain surveillance products. This person will create visually striking, highly usable 2D and 3D visualisations that help customers explore large maritime datasets, understand activity patterns, identify trends, and interpret intelligence derived from our data. This is a product design role for custom software, not a business intelligence or dashboard reporting role. The ideal candidate for the role of Data Visualisation Designer combines strong UI craft with cartographic thinking, data visualisation expertise, and an ability to work closely with engineers to turn complex geospatial concepts into elegant, performant, operationally useful product experiences. Please note - the role of Data Visualisation Designer is a hybrid working role with your office being Bristol. Key Responsibilities - Data Visualisation Designer (not exhaustive): Design high-quality 2D and 3D geospatial visualisations for maritime surveillance, intelligence analysis and operational decision-making. Turn complex maritime datasets into clear visual patterns, trends, anomalies, behaviours and insight-led user journeys. Create wireframes, prototypes, interaction models and polished UI designs for map-led product experiences. Design visual treatments for vessel tracks, movement histories, density maps, heatmaps, clusters, routes, zones, alerts, sensor coverage and analytical overlays. Work with product managers, engineers, data scientists and maritime domain experts to understand customer workflows and mission needs. Define visual systems for geospatial data, including colour, symbology, hierarchy, confidence, uncertainty, severity and temporal change. Prototype advanced visualisation concepts using tools such as Figma, Kepler.gl, deck.gl, Mapbox, Cesium, D3, QGIS or similar. Partner with front-end engineers to ensure designs can be implemented effectively in custom web software at large data scale. Test and refine designs with internal experts and customer users, balancing visual impact, analytical clarity and operational usability. Skills & Experience - Data Visualisation Designer (not exhaustive): Strong portfolio showing advanced data visualisation, geospatial interfaces, map-based products or complex analytical software. Proven UX/UI design experience in custom software products, ideally B2B, SaaS, defence, maritime, intelligence, logistics, GIS or another complex domain. Excellent visual design craft, with strong judgement around layout, hierarchy, typography, colour, interaction states and information density. Good understanding of cartographic design principles, including layers, projections, scale, symbology, spatial relationships and map readability. Experience designing for large or complex datasets, including aggregation, filtering, clustering, zoom-level behaviour and progressive disclosure. Familiarity with geospatial and visualisation tools or libraries such as Kepler.gl, deck.gl, Mapbox GL JS, CesiumJS, D3, Three.js, QGIS or ArcGIS. Ability to design 3D geospatial experiences such as globes, terrain, extruded data, sensor volumes, movement paths or layered operational scenes. Comfortable working with technical teams and discussing APIs, data schemas, rendering constraints, front-end implementation and performance trade-offs. Strong grasp of data storytelling and visual analytics: helping users move from raw data to interpretation, insight and action. Interest in maritime domain awareness, vessel behaviour, earth observation, remote sensing, intelligence analysis or national security use cases. Benefits Package Excellent salary and package Private health care Career Development opportunities SRT Marine Systems plc are an equal opportunity employer. We are committed to creating an inclusive working environment for all employees and actively encourage applications from all sectors of the community.
Aug 14, 2026
Full time
SRT Marine Systems plc (SRT) is a market leader in the domain of international marine surveillance technology and systems. We are a respected, established, and an ambitious multi-national company headquartered in the UK with a global customer base. The company has a worldwide impact in the marine sector by leading the next generation of maritime domain awareness technologies "MDA", products, and systems that significantly enhance security, safety, environmental protection, and sustainability. Our customers are global and range from the largest national coast guards to individual vessel owners. SRT is an exciting company where high-quality results are rewarded. We are ambitious and constantly seek to innovate in order to deliver better products and services to our customers. We strive to make SRT a rewarding and challenging place to work, where talented, hard-working individuals have the opportunity to make a real impact across the marine industry. This is an exciting opportunity for a Data Visualisation Designer with specialist experience in geospatial data visualisation to help design the next generation of maritime domain surveillance products. This person will create visually striking, highly usable 2D and 3D visualisations that help customers explore large maritime datasets, understand activity patterns, identify trends, and interpret intelligence derived from our data. This is a product design role for custom software, not a business intelligence or dashboard reporting role. The ideal candidate for the role of Data Visualisation Designer combines strong UI craft with cartographic thinking, data visualisation expertise, and an ability to work closely with engineers to turn complex geospatial concepts into elegant, performant, operationally useful product experiences. Please note - the role of Data Visualisation Designer is a hybrid working role with your office being Bristol. Key Responsibilities - Data Visualisation Designer (not exhaustive): Design high-quality 2D and 3D geospatial visualisations for maritime surveillance, intelligence analysis and operational decision-making. Turn complex maritime datasets into clear visual patterns, trends, anomalies, behaviours and insight-led user journeys. Create wireframes, prototypes, interaction models and polished UI designs for map-led product experiences. Design visual treatments for vessel tracks, movement histories, density maps, heatmaps, clusters, routes, zones, alerts, sensor coverage and analytical overlays. Work with product managers, engineers, data scientists and maritime domain experts to understand customer workflows and mission needs. Define visual systems for geospatial data, including colour, symbology, hierarchy, confidence, uncertainty, severity and temporal change. Prototype advanced visualisation concepts using tools such as Figma, Kepler.gl, deck.gl, Mapbox, Cesium, D3, QGIS or similar. Partner with front-end engineers to ensure designs can be implemented effectively in custom web software at large data scale. Test and refine designs with internal experts and customer users, balancing visual impact, analytical clarity and operational usability. Skills & Experience - Data Visualisation Designer (not exhaustive): Strong portfolio showing advanced data visualisation, geospatial interfaces, map-based products or complex analytical software. Proven UX/UI design experience in custom software products, ideally B2B, SaaS, defence, maritime, intelligence, logistics, GIS or another complex domain. Excellent visual design craft, with strong judgement around layout, hierarchy, typography, colour, interaction states and information density. Good understanding of cartographic design principles, including layers, projections, scale, symbology, spatial relationships and map readability. Experience designing for large or complex datasets, including aggregation, filtering, clustering, zoom-level behaviour and progressive disclosure. Familiarity with geospatial and visualisation tools or libraries such as Kepler.gl, deck.gl, Mapbox GL JS, CesiumJS, D3, Three.js, QGIS or ArcGIS. Ability to design 3D geospatial experiences such as globes, terrain, extruded data, sensor volumes, movement paths or layered operational scenes. Comfortable working with technical teams and discussing APIs, data schemas, rendering constraints, front-end implementation and performance trade-offs. Strong grasp of data storytelling and visual analytics: helping users move from raw data to interpretation, insight and action. Interest in maritime domain awareness, vessel behaviour, earth observation, remote sensing, intelligence analysis or national security use cases. Benefits Package Excellent salary and package Private health care Career Development opportunities SRT Marine Systems plc are an equal opportunity employer. We are committed to creating an inclusive working environment for all employees and actively encourage applications from all sectors of the community.
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, we continue to build innovative digital services that truly make a difference. Overview: We are seeking a seasoned Data Lead to define and deliver a comprehensive data strategy for large-scale, citizen-facing services used by millions. This role involves assessing current data capabilities, defining a future vision, and architecting a roadmap to achieve it-while building and leading the team required to deliver. Key Responsibilities: Data Strategy & Governance Lead the end-to-end data strategy across services Assess current ( as-is ) and future ( to-be ) states of data platforms and pipelines Develop a short- to medium-term strategic roadmap aligned with broader organisational and government data strategies Define and implement policies, standards, and governance frameworks for secure and scalable data services Technical Leadership & Architecture Select and evolve data engineering tools, frameworks, and methodologies Ensure alignment with enterprise architecture and technical strategies Lead delivery of complex data engineering initiatives across multiple systems Design solutions balancing functional and non-functional requirements Team Design & Delivery Define optimal team structure, including roles, skills, and capacity Build and lead multidisciplinary data teams (engineers, analysts, data scientists) Mentor and guide team members to ensure high-quality delivery Oversee implementation of data platforms, pipelines, and analytical models Standards, Compliance & Quality Ensure adherence to data governance, security, and compliance standards Embed data quality, lineage, and protection practices across systems Contribute to enterprise-wide data policies and regulatory compliance Required Experience & Skills: 10+ years of experience in data engineering, data science, or analytics Proven experience defining and executing data strategies in complex organisations Strong expertise in cloud-based data platforms (AWS preferred) Experience with modern ETL/ELT tools and data pipeline frameworks Solid understanding of data modelling, warehousing, and transformation best practices Experience across the data science/ML life cycle from prototype to production Experience working in public sector or regulated environments, with knowledge of GDPR and related standards Strong communication and stakeholder management skills, including engaging senior stakeholders Proven leadership, mentoring, and team-building capabilities Tech Stack: Google Analytics Google BigQuery Looker Studio Google Tag Manager Desirable Experience: Experience in public sector or citizen services (eg, benefits systems) Exposure to government frameworks or large-scale transformation programmes Security clearance (BPSS, SC, or DV) or willingness to obtain Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, underrepresented communities, and those seeking flexible working arrangements.
Aug 14, 2026
Full time
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, we continue to build innovative digital services that truly make a difference. Overview: We are seeking a seasoned Data Lead to define and deliver a comprehensive data strategy for large-scale, citizen-facing services used by millions. This role involves assessing current data capabilities, defining a future vision, and architecting a roadmap to achieve it-while building and leading the team required to deliver. Key Responsibilities: Data Strategy & Governance Lead the end-to-end data strategy across services Assess current ( as-is ) and future ( to-be ) states of data platforms and pipelines Develop a short- to medium-term strategic roadmap aligned with broader organisational and government data strategies Define and implement policies, standards, and governance frameworks for secure and scalable data services Technical Leadership & Architecture Select and evolve data engineering tools, frameworks, and methodologies Ensure alignment with enterprise architecture and technical strategies Lead delivery of complex data engineering initiatives across multiple systems Design solutions balancing functional and non-functional requirements Team Design & Delivery Define optimal team structure, including roles, skills, and capacity Build and lead multidisciplinary data teams (engineers, analysts, data scientists) Mentor and guide team members to ensure high-quality delivery Oversee implementation of data platforms, pipelines, and analytical models Standards, Compliance & Quality Ensure adherence to data governance, security, and compliance standards Embed data quality, lineage, and protection practices across systems Contribute to enterprise-wide data policies and regulatory compliance Required Experience & Skills: 10+ years of experience in data engineering, data science, or analytics Proven experience defining and executing data strategies in complex organisations Strong expertise in cloud-based data platforms (AWS preferred) Experience with modern ETL/ELT tools and data pipeline frameworks Solid understanding of data modelling, warehousing, and transformation best practices Experience across the data science/ML life cycle from prototype to production Experience working in public sector or regulated environments, with knowledge of GDPR and related standards Strong communication and stakeholder management skills, including engaging senior stakeholders Proven leadership, mentoring, and team-building capabilities Tech Stack: Google Analytics Google BigQuery Looker Studio Google Tag Manager Desirable Experience: Experience in public sector or citizen services (eg, benefits systems) Exposure to government frameworks or large-scale transformation programmes Security clearance (BPSS, SC, or DV) or willingness to obtain Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, underrepresented communities, and those seeking flexible working arrangements.
Data Scientist (x2) - Contract Role Location: Remote (UK) Employment Type: Contract - 3 months Day Rate: £500 per day IR35 Status: Inside IR35 Clearance: Active SC Clearance required SFIA Level: 4-5 Role Overview We are looking for two Data Scientists with strong experience in data science and machine learning, particularly involving text-based data and NLP-related problems. This role is suited to someone operating at SFIA Level 4 or 5 who can work independently, contribute to solution direction, and confidently challenge assumptions to improve outcomes. You will work closely with technical and business stakeholders to develop, evaluate, and deploy data-driven solutions, while helping ensure that proposed approaches are practical, scalable, and evidence-based. Key Responsibilities Develop and implement machine learning models and analytical solutions, with a focus on text and unstructured data. Apply NLP and related techniques to extract insight and support business decision-making. Explore, clean, and transform complex datasets from multiple sources. Evaluate proposed analytical approaches and challenge assumptions where appropriate. Communicate findings, risks, and recommendations clearly to both technical and non-technical audiences. Work independently across the full data science life cycle, from discovery through deployment and monitoring. Collaborate with engineering and platform teams to operationalise models and workflows. Contribute to best practices in experimentation, model validation, governance, and reproducibility. Required Skills and Experience Proven experience in data science and machine learning roles. Strong experience working with text analytics, NLP, or other machine learning approaches involving unstructured data. Ability to think critically and challenge solution assumptions constructively. Comfortable working independently with limited supervision. Strong programming skills in Python and common data science libraries (eg pandas, scikit-learn, TensorFlow/PyTorch, spaCy, Hugging Face). Experience with model evaluation, experimentation, and statistical methods. Ability to communicate complex analytical concepts clearly. Active SC Clearance (must be in place before start date). Desirable Skills Experience with Microsoft Azure and Azure-based data or ML services (eg Azure ML, Databricks, Synapse). Familiarity with MLOps, cloud deployment, or production model management. Experience working in cross-functional agile teams. Exposure to government or public sector data projects.
Aug 14, 2026
Contractor
Data Scientist (x2) - Contract Role Location: Remote (UK) Employment Type: Contract - 3 months Day Rate: £500 per day IR35 Status: Inside IR35 Clearance: Active SC Clearance required SFIA Level: 4-5 Role Overview We are looking for two Data Scientists with strong experience in data science and machine learning, particularly involving text-based data and NLP-related problems. This role is suited to someone operating at SFIA Level 4 or 5 who can work independently, contribute to solution direction, and confidently challenge assumptions to improve outcomes. You will work closely with technical and business stakeholders to develop, evaluate, and deploy data-driven solutions, while helping ensure that proposed approaches are practical, scalable, and evidence-based. Key Responsibilities Develop and implement machine learning models and analytical solutions, with a focus on text and unstructured data. Apply NLP and related techniques to extract insight and support business decision-making. Explore, clean, and transform complex datasets from multiple sources. Evaluate proposed analytical approaches and challenge assumptions where appropriate. Communicate findings, risks, and recommendations clearly to both technical and non-technical audiences. Work independently across the full data science life cycle, from discovery through deployment and monitoring. Collaborate with engineering and platform teams to operationalise models and workflows. Contribute to best practices in experimentation, model validation, governance, and reproducibility. Required Skills and Experience Proven experience in data science and machine learning roles. Strong experience working with text analytics, NLP, or other machine learning approaches involving unstructured data. Ability to think critically and challenge solution assumptions constructively. Comfortable working independently with limited supervision. Strong programming skills in Python and common data science libraries (eg pandas, scikit-learn, TensorFlow/PyTorch, spaCy, Hugging Face). Experience with model evaluation, experimentation, and statistical methods. Ability to communicate complex analytical concepts clearly. Active SC Clearance (must be in place before start date). Desirable Skills Experience with Microsoft Azure and Azure-based data or ML services (eg Azure ML, Databricks, Synapse). Familiarity with MLOps, cloud deployment, or production model management. Experience working in cross-functional agile teams. Exposure to government or public sector data projects.
Data Scientist (AI & Conversational Analytics) Hybrid - 1 day per week in office A leading global organisation is seeking an experienced Data Scientist to help shape the future of enterprise analytics and AI-enabled decision making. This is a unique opportunity to play a key role in the development of trusted, conversational analytics solutions powered by AI and advanced data modelling. Working closely with senior leadership, you will help transform complex business data into intuitive, natural language insights while ensuring the highest standards of governance, accuracy, and explainability. Key Responsibilities Design and deliver AI-powered conversational analytics solutions using enterprise data models and business intelligence platforms. Develop trusted, fact-based insight experiences that minimise AI hallucinations and provide clear, explainable outputs. Partner with data, BI, and technology teams to optimise semantic models for AI readiness. Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection. Contribute to the organisation's long-term Data & AI strategy, influencing senior stakeholders and executive leadership. Establish best practices, standards, and governance frameworks for responsible AI adoption. Coach and support analytics teams in developing AI-ready modelling and insight capabilities. About You Strong experience in Data Science, Machine Learning, Applied Analytics, or a related field. Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences. Hands-on experience with enterprise data modelling, semantic layers, and business intelligence platforms (Power BI experience highly desirable). Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions. Deep understanding of data governance, data quality, statistical validation, and AI risk management. Comfortable operating in evolving environments where you can shape direction and define solutions. Desirable Experience Microsoft Copilot, Azure OpenAI, or similar AI platforms. Retrieval-Augmented Generation (RAG) and semantic grounding techniques. Executive-level analytics solutions and trusted AI implementations. Highly regulated or data-governed environments. What We Offer Opportunity to influence enterprise-wide AI and analytics strategy. Exposure to executive stakeholders and high-impact business initiatives. A collaborative environment focused on innovation, data-driven decision making, and responsible AI adoption. Hybrid working with flexibility and a strong commitment to professional development. Please note: This role focuses on building trusted, enterprise-grade AI insight solutions where accuracy, governance, and business value are paramount. Apply now to avoid disappointment! To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Aug 14, 2026
Full time
Data Scientist (AI & Conversational Analytics) Hybrid - 1 day per week in office A leading global organisation is seeking an experienced Data Scientist to help shape the future of enterprise analytics and AI-enabled decision making. This is a unique opportunity to play a key role in the development of trusted, conversational analytics solutions powered by AI and advanced data modelling. Working closely with senior leadership, you will help transform complex business data into intuitive, natural language insights while ensuring the highest standards of governance, accuracy, and explainability. Key Responsibilities Design and deliver AI-powered conversational analytics solutions using enterprise data models and business intelligence platforms. Develop trusted, fact-based insight experiences that minimise AI hallucinations and provide clear, explainable outputs. Partner with data, BI, and technology teams to optimise semantic models for AI readiness. Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection. Contribute to the organisation's long-term Data & AI strategy, influencing senior stakeholders and executive leadership. Establish best practices, standards, and governance frameworks for responsible AI adoption. Coach and support analytics teams in developing AI-ready modelling and insight capabilities. About You Strong experience in Data Science, Machine Learning, Applied Analytics, or a related field. Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences. Hands-on experience with enterprise data modelling, semantic layers, and business intelligence platforms (Power BI experience highly desirable). Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions. Deep understanding of data governance, data quality, statistical validation, and AI risk management. Comfortable operating in evolving environments where you can shape direction and define solutions. Desirable Experience Microsoft Copilot, Azure OpenAI, or similar AI platforms. Retrieval-Augmented Generation (RAG) and semantic grounding techniques. Executive-level analytics solutions and trusted AI implementations. Highly regulated or data-governed environments. What We Offer Opportunity to influence enterprise-wide AI and analytics strategy. Exposure to executive stakeholders and high-impact business initiatives. A collaborative environment focused on innovation, data-driven decision making, and responsible AI adoption. Hybrid working with flexibility and a strong commitment to professional development. Please note: This role focuses on building trusted, enterprise-grade AI insight solutions where accuracy, governance, and business value are paramount. Apply now to avoid disappointment! To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Senior Data Engineer Competitive Salary + 20% Bonus + Excellent Benefits London - Hybrid - 3 days on-site Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business - from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications 6+ years of experience in data engineering 3+ years of hands-on experience with Azure Databricks Strong working knowledge Azure Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP.
Aug 14, 2026
Full time
Senior Data Engineer Competitive Salary + 20% Bonus + Excellent Benefits London - Hybrid - 3 days on-site Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business - from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications 6+ years of experience in data engineering 3+ years of hands-on experience with Azure Databricks Strong working knowledge Azure Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP.
Job title: Data Analyst Start Date: ASAP Contract: six months (possibility of extension) Location: Paddington (Hybrid) Sector: Retail Summary Producing an analysis is only part of the job; understanding whether it can be trusted, explained and used to support a decision is just as important. Our Advanced Analytics team helps make better decisions by combining commercial insight, decision science and analytical engineering. We work across product squads and the wider business on trusted, high-impact analytical solutions. As a Data Analyst, you'll contribute across the analytical process, from preparing and exploring data through to statistical modelling, experimentation, impact evaluation and communicating results. You'll work with business and product teams to investigate complex commercial questions and generate robust evidence. This role would suit someone with strong statistical knowledge who is excited by applying it to real-world problems. You don't need extensive commercial experience, but you should bring curiosity, experience using data, exposure to advanced methods and a desire to develop in a business environment. What you'll do Your key accountabilities will include Contribute to analytical work on high-value opportunities, collaborating with experienced analysts, data scientists, product teams and business stakeholders to support better decisions. Help translate complex or ambiguous business questions into clear analytical objectives, success measures and structured analysis plans. Prepare, explore and analyse data to understand performance, identify meaningful patterns and drivers, and uncover opportunities to create measurable business value. Support the design and application of appropriate approaches, including statistical modelling, experimentation and quasi-experimental methods, to test hypotheses, evaluate initiatives and quantify their impact. Validate analytical outputs and communicate findings, uncertainty and limitations clearly, helping stakeholders understand what the evidence does and does not support. Who you are Your skills and experience will include Strong mathematical and statistical knowledge, including familiarity with probability, statistical inference, regression, experimental design and the interpretation of results. Exposure to advanced analytical and/or machine learning methods through study, research or practical experience, with an interest in understanding when different approaches are appropriate and what their limitations are. Strong analytical problem-solving skills, with the curiosity and structured thinking needed to investigate unfamiliar or ambiguous questions using imperfect real-world data. A clear communicator who can explain analytical approaches and findings to others, with the potential to develop this skill further when working with non-technical audiences. Experience using at least one data-focused programming or analytical language, such as Python, R, SQL, PySpark or similar. Role is placed within the Advanced Analytics function, supporting the strategic Insights Engine programme. The project aims to move retail colleagues away from consuming large volumes of reports and towards AI-enabled, prescriptive, exception-based insights that highlight where intervention is required and measure the business impact of those actions. The key hiring requirement is an analyst with strong experimentation, evaluation and statistical analysis skills, particularly around measuring intervention effectiveness through A/B testing, quasi-experimental methods, and stakeholder-facing insight delivery. Key Responsibilities Analytical discovery and opportunity identification. Value case assessment. Data preparation and ETL support. Feature engineering collaboration with Data Scientists. Testing and evaluation of interventions. Experiment execution and results analysis. Presenting outcomes to senior stakeholders. Influencing business decisions through analytics. Must-Have Skills Technical Statistical modelling. A/B testing experience. Experimental design understanding. Difference-in-differences or similar quasi-experimental techniques. Data analysis and interpretation. Ability to execute analytics frameworks designed by senior analysts. Business Stakeholder communication. Translating analysis into actionable business recommendations. Working within cross-functional teams Nice-to-Have Skills Exposure to Data Science environments. Retail analytics experience. Experience working alongside Product Managers, Data Scientists and Data Engineers. Broad analytical toolkit across multiple techniques. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Aug 14, 2026
Contractor
Job title: Data Analyst Start Date: ASAP Contract: six months (possibility of extension) Location: Paddington (Hybrid) Sector: Retail Summary Producing an analysis is only part of the job; understanding whether it can be trusted, explained and used to support a decision is just as important. Our Advanced Analytics team helps make better decisions by combining commercial insight, decision science and analytical engineering. We work across product squads and the wider business on trusted, high-impact analytical solutions. As a Data Analyst, you'll contribute across the analytical process, from preparing and exploring data through to statistical modelling, experimentation, impact evaluation and communicating results. You'll work with business and product teams to investigate complex commercial questions and generate robust evidence. This role would suit someone with strong statistical knowledge who is excited by applying it to real-world problems. You don't need extensive commercial experience, but you should bring curiosity, experience using data, exposure to advanced methods and a desire to develop in a business environment. What you'll do Your key accountabilities will include Contribute to analytical work on high-value opportunities, collaborating with experienced analysts, data scientists, product teams and business stakeholders to support better decisions. Help translate complex or ambiguous business questions into clear analytical objectives, success measures and structured analysis plans. Prepare, explore and analyse data to understand performance, identify meaningful patterns and drivers, and uncover opportunities to create measurable business value. Support the design and application of appropriate approaches, including statistical modelling, experimentation and quasi-experimental methods, to test hypotheses, evaluate initiatives and quantify their impact. Validate analytical outputs and communicate findings, uncertainty and limitations clearly, helping stakeholders understand what the evidence does and does not support. Who you are Your skills and experience will include Strong mathematical and statistical knowledge, including familiarity with probability, statistical inference, regression, experimental design and the interpretation of results. Exposure to advanced analytical and/or machine learning methods through study, research or practical experience, with an interest in understanding when different approaches are appropriate and what their limitations are. Strong analytical problem-solving skills, with the curiosity and structured thinking needed to investigate unfamiliar or ambiguous questions using imperfect real-world data. A clear communicator who can explain analytical approaches and findings to others, with the potential to develop this skill further when working with non-technical audiences. Experience using at least one data-focused programming or analytical language, such as Python, R, SQL, PySpark or similar. Role is placed within the Advanced Analytics function, supporting the strategic Insights Engine programme. The project aims to move retail colleagues away from consuming large volumes of reports and towards AI-enabled, prescriptive, exception-based insights that highlight where intervention is required and measure the business impact of those actions. The key hiring requirement is an analyst with strong experimentation, evaluation and statistical analysis skills, particularly around measuring intervention effectiveness through A/B testing, quasi-experimental methods, and stakeholder-facing insight delivery. Key Responsibilities Analytical discovery and opportunity identification. Value case assessment. Data preparation and ETL support. Feature engineering collaboration with Data Scientists. Testing and evaluation of interventions. Experiment execution and results analysis. Presenting outcomes to senior stakeholders. Influencing business decisions through analytics. Must-Have Skills Technical Statistical modelling. A/B testing experience. Experimental design understanding. Difference-in-differences or similar quasi-experimental techniques. Data analysis and interpretation. Ability to execute analytics frameworks designed by senior analysts. Business Stakeholder communication. Translating analysis into actionable business recommendations. Working within cross-functional teams Nice-to-Have Skills Exposure to Data Science environments. Retail analytics experience. Experience working alongside Product Managers, Data Scientists and Data Engineers. Broad analytical toolkit across multiple techniques. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
