Football Radar
For over a decade, Football Radar has excelled in developing statistical models and analytical frameworks for football. Our expertise extends to providing advisory services to football clubs and offering leading-edge betting advice that has consistently delivered outstanding returns for our clients. We define ourselves as a unique blend of start-up dynamism and established business security, combining the flexibility of the former with the stability of the latter.
About the Role
At Football Radar, we analyse and predict football matches. In the role of a Software Engineer, you will be responsible for helping build and maintain the software that makes that possible - everything from modern web applications to statistical models, real time data platforms to cloud infrastructure.
This role is based at our London office, at 1 Craven Hill, London, W2 3EN. You will have flexibility to work from home one day a week. Please note we are not considering remote candidates at the moment.
Role Requirements
We are looking for engineers with at least 2 years of experience in Scala. Given that the majority of our backend codebase is written in Scala, the ideal candidate will play a pivotal role in shaping the future of our backend infrastructure.
We are first and foremost a football company, and to have a big impact here, it will help if you have domain expertise – you will probably be a big football fan, and ideally someone who is comfortable with the mathematical and statistical approaches we are applying to the game. If you have any experience with sports betting or football analytics that is a bonus.
We’d love to hear from you if this sounds like you:
Well-versed in working with distributed systems in the cloud (our software runs in AWS, deployed via Docker and Kubernetes)
Willing to work across our tech stack: Scala, Python, C++, Typescript and PHP.
Experience with relational and document based databases.
Familiar with different testing methodologies.
Enjoys technical leadership and guiding product development, shaping the vision and implementation of backend platforms effectively.
Thrives on responsibility and ownership.
Pragmatic mindset.
Excellent communication, time management and organisational skills.
Benefits
We have a range of benefits available at Football Radar and continue to review these to ensure our colleagues are gaining everything they can from them.
Half yearly bonus opportunities based on company performance
33 days holiday (Including bank holidays)
Competitive contribution matched pensions
Health and well-being benefits:
Private Medical Insurance (including excess coverage)
Health Cash Plan via Bupa
Subsidised gym membership
Daily subsidised office meals
Learning and development budgets to invest in your personal growth Company and team led engagement activities throughout the year
Fortnightly five-a-side football game amongst colleagues
27/03/2025
Full time
Football Radar
For over a decade, Football Radar has excelled in developing statistical models and analytical frameworks for football. Our expertise extends to providing advisory services to football clubs and offering leading-edge betting advice that has consistently delivered outstanding returns for our clients. We define ourselves as a unique blend of start-up dynamism and established business security, combining the flexibility of the former with the stability of the latter.
About the Role
At Football Radar, we analyse and predict football matches. In the role of a Software Engineer, you will be responsible for helping build and maintain the software that makes that possible - everything from modern web applications to statistical models, real time data platforms to cloud infrastructure.
This role is based at our London office, at 1 Craven Hill, London, W2 3EN. You will have flexibility to work from home one day a week. Please note we are not considering remote candidates at the moment.
Role Requirements
We are looking for engineers with at least 2 years of experience in Scala. Given that the majority of our backend codebase is written in Scala, the ideal candidate will play a pivotal role in shaping the future of our backend infrastructure.
We are first and foremost a football company, and to have a big impact here, it will help if you have domain expertise – you will probably be a big football fan, and ideally someone who is comfortable with the mathematical and statistical approaches we are applying to the game. If you have any experience with sports betting or football analytics that is a bonus.
We’d love to hear from you if this sounds like you:
Well-versed in working with distributed systems in the cloud (our software runs in AWS, deployed via Docker and Kubernetes)
Willing to work across our tech stack: Scala, Python, C++, Typescript and PHP.
Experience with relational and document based databases.
Familiar with different testing methodologies.
Enjoys technical leadership and guiding product development, shaping the vision and implementation of backend platforms effectively.
Thrives on responsibility and ownership.
Pragmatic mindset.
Excellent communication, time management and organisational skills.
Benefits
We have a range of benefits available at Football Radar and continue to review these to ensure our colleagues are gaining everything they can from them.
Half yearly bonus opportunities based on company performance
33 days holiday (Including bank holidays)
Competitive contribution matched pensions
Health and well-being benefits:
Private Medical Insurance (including excess coverage)
Health Cash Plan via Bupa
Subsidised gym membership
Daily subsidised office meals
Learning and development budgets to invest in your personal growth Company and team led engagement activities throughout the year
Fortnightly five-a-side football game amongst colleagues
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Managing Consultant, Advisors & Consulting Services, Performance Analytics Managing Consultant - Performance Analytics Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard's rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: Roles and Responsibilities Client Impact • Lead client engagements across a range of industries and problem statements • Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value • Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture • Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members' roles and skills • Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels • Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital • Provide on-the-job training, coaching, and mentorship to junior consultants All About You Basic qualifications • Undergraduate degree in a quantitative field e.g. Mathematics, Physics, Engineering, Economics etc. • Hands-on experience delivering Data Science and/or Analytics projects e.g. Machine-Learning, Clustering, Data Analysis , Business Intelligence etc. • Experience coaching, leading, and managing technical teams across multiple projects • Experience managing key client relationships • Knowledge of business KPIs, financials and organizational leadership • Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities • Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations • Experience with data analytics software (e.g., Python, R, SQL, SAS), and Data Visualization tools (e.g., Tableau, Power BI) • Experience building, managing, and maintaining database structures to support analysis • Advanced Word, Excel, and PowerPoint skills • Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment • Ability to communicate effectively in English and the local office language (if applicable) • Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred qualifications • Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark • Experience generating new knowledge or creating innovative solutions for a firm • Relevant industry expertise • Working knowledge of Cloud platforms (AWS; Azure; Google Coud) and latest GenAI models • Master's degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
07/12/2025
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Managing Consultant, Advisors & Consulting Services, Performance Analytics Managing Consultant - Performance Analytics Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard's rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: Roles and Responsibilities Client Impact • Lead client engagements across a range of industries and problem statements • Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value • Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture • Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members' roles and skills • Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels • Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital • Provide on-the-job training, coaching, and mentorship to junior consultants All About You Basic qualifications • Undergraduate degree in a quantitative field e.g. Mathematics, Physics, Engineering, Economics etc. • Hands-on experience delivering Data Science and/or Analytics projects e.g. Machine-Learning, Clustering, Data Analysis , Business Intelligence etc. • Experience coaching, leading, and managing technical teams across multiple projects • Experience managing key client relationships • Knowledge of business KPIs, financials and organizational leadership • Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities • Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations • Experience with data analytics software (e.g., Python, R, SQL, SAS), and Data Visualization tools (e.g., Tableau, Power BI) • Experience building, managing, and maintaining database structures to support analysis • Advanced Word, Excel, and PowerPoint skills • Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment • Ability to communicate effectively in English and the local office language (if applicable) • Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred qualifications • Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark • Experience generating new knowledge or creating innovative solutions for a firm • Relevant industry expertise • Working knowledge of Cloud platforms (AWS; Azure; Google Coud) and latest GenAI models • Master's degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Managing Consultant, Advisors & Consulting Services, Performance AnalyticsManaging Consultant Performance Analytics Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercards rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: Roles and Responsibilities Client Impact Lead client engagements across a range of industries and problem statements Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members roles and skills Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital Provide on-the-job training, coaching, and mentorship to junior consultants All About You Basic qualifications Undergraduate degree in a quantitative field e.g. Mathematics, Physics, Engineering, Economics etc. Hands-on experience delivering Data Science and/or Analytics projects e.g. Machine-Learning, Clustering, Data Analysis , Business Intelligence etc. Experience coaching, leading, and managing technical teams across multiple projects Experience managing key client relationships Knowledge of business KPIs, financials and organizational leadership Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Experience with data analytics software (e.g., Python, R, SQL, SAS), and Data Visualization tools (e.g., Tableau, Power BI) Experience building, managing, and maintaining database structures to support analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred qualifications Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark Experience generating new knowledge or creating innovative solutions for a firm Relevant industry expertise Working knowledge of Cloud platforms (AWS; Azure; Google Coud) and latest GenAI models Masters degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercards security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercards guidelines. JBRP1_UKTJ
07/12/2025
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Managing Consultant, Advisors & Consulting Services, Performance AnalyticsManaging Consultant Performance Analytics Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercards rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: Roles and Responsibilities Client Impact Lead client engagements across a range of industries and problem statements Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members roles and skills Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital Provide on-the-job training, coaching, and mentorship to junior consultants All About You Basic qualifications Undergraduate degree in a quantitative field e.g. Mathematics, Physics, Engineering, Economics etc. Hands-on experience delivering Data Science and/or Analytics projects e.g. Machine-Learning, Clustering, Data Analysis , Business Intelligence etc. Experience coaching, leading, and managing technical teams across multiple projects Experience managing key client relationships Knowledge of business KPIs, financials and organizational leadership Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Experience with data analytics software (e.g., Python, R, SQL, SAS), and Data Visualization tools (e.g., Tableau, Power BI) Experience building, managing, and maintaining database structures to support analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred qualifications Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark Experience generating new knowledge or creating innovative solutions for a firm Relevant industry expertise Working knowledge of Cloud platforms (AWS; Azure; Google Coud) and latest GenAI models Masters degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercards security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercards guidelines. JBRP1_UKTJ
World-changing careers, enabled by Johnson Matthey. With more than 200 years history, join us and help to accelerate the transition to net-zero! As a Senior SAP BW Engineer, you'll contribute to JM's mission as a world leader in sustainable technology, transforming energy and reducing carbon emissions for a cleaner, brighter future. The role: As a Senior SAP BW Engineer, you will help drive our goals by: Building efficient SAP Business Warehouse (BW) extractors and ADSOs, modelling data in Composite Providers, and developing impactful BEx queries or Open Hubs to support timely, accurate BI reports and dashboards that enable better decision-making and drive measurable business results. Ensuring data integrity by improving data models and promoting trusted, consistent reporting, while empowering teams through knowledge sharing and education on SAP BW and SAP Analytics Cloud (SAC) capabilities. Optimising reporting efficiency by automating testing and validation, embedding analytics into S/4HANA using CDS views and Fiori elements, and collaborating across teams to determine the best technical and functional fit for reporting needs within the SAP landscape. Leading end-to-end implementation of analytics solutions - from understanding stakeholder needs to design, development, testing, and deployment - while ensuring clear communication, customer focus, and a smooth go-live through cross-team coordination and cutover support. Exploring advanced analytics capabilities such as Predictive Scenario Modelling, SAC Planning, and Financial Planning to identify opportunities that deliver strategic value to the organisation. Key skills that will help you succeed in this role: 4+ years of SAP BW experience as a senior engineer, demonstrating the ability to design, develop, and implement complex end-to-end enterprise reporting solutions. Strong understanding of data modelling principles and techniques to optimize data structures and enable efficient analysis, including ADSOs, Composite Providers, ABAP knowledge, and BEx queries. In-depth knowledge of integrated technical design concepts and reporting and analytics principles within a global organisation. Proven experience working on multiple full lifecycle, complex global ERP reporting and analytics projects supporting multi-divisional and multi-regional needs. Excellent communication skills, with the ability to bridge technical and business perspectives and collaborate effectively with both technical and non-technical stakeholders. Proficiency in English, both written and verbal. SAC experience with the ability to design, develop, and implement complex end-to-end reporting solutions would be an advantage. Even if you only match some of the skills, we'd love to hear from you to discuss further! What we offer: We make sure salaries are fair, competitive and aligned to individual roles, experience and responsibilities. We are also supportive of hybrid and flexible working and where applicable, offer life, medical and other benefits that support our employees' financial and physical wellbeing, such as: Retirement savings Share plans Saving accounts Life and disability insurance Medical plans / health assessments Fitness discounts Ready to make a meaningful impact on your career and the environment? Join us and help shape a sustainable future while advancing your career! At JM, inclusivity is central to our values. We create an environment where everyone can thrive, embracing diverse perspectives to tackle challenges and ensure all colleagues feel valued and connected. For any queries or accessibility requirements, please contact (url removed). We will work with you to make suitable adjustments at any stage of the recruitment process. All conversations are confidential, and your feedback is welcome to help us provide an accessible and positive recruitment experience. Closing date for applications: This job advertisement will be posted for a minimum of 2 weeks, early application is advised. To submit your application, please click the "Apply" button online. All applications are carefully considered and your details will be stored on our secure Application Management System. This is used throughout Johnson Matthey for the selection of suitable candidates for our vacancies as they arise.Johnson Matthey respects your privacy and is committed to protecting your personal information. For more information about how your personal data is used please view our privacy notice: Johnson Matthey Privacy Notice . By applying for this role and creating an account you are agreeing to the notice. Johnson Matthey Plc is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, marriage or civil partnership, pregnancy or maternity, religion or belief.
06/12/2025
Full time
World-changing careers, enabled by Johnson Matthey. With more than 200 years history, join us and help to accelerate the transition to net-zero! As a Senior SAP BW Engineer, you'll contribute to JM's mission as a world leader in sustainable technology, transforming energy and reducing carbon emissions for a cleaner, brighter future. The role: As a Senior SAP BW Engineer, you will help drive our goals by: Building efficient SAP Business Warehouse (BW) extractors and ADSOs, modelling data in Composite Providers, and developing impactful BEx queries or Open Hubs to support timely, accurate BI reports and dashboards that enable better decision-making and drive measurable business results. Ensuring data integrity by improving data models and promoting trusted, consistent reporting, while empowering teams through knowledge sharing and education on SAP BW and SAP Analytics Cloud (SAC) capabilities. Optimising reporting efficiency by automating testing and validation, embedding analytics into S/4HANA using CDS views and Fiori elements, and collaborating across teams to determine the best technical and functional fit for reporting needs within the SAP landscape. Leading end-to-end implementation of analytics solutions - from understanding stakeholder needs to design, development, testing, and deployment - while ensuring clear communication, customer focus, and a smooth go-live through cross-team coordination and cutover support. Exploring advanced analytics capabilities such as Predictive Scenario Modelling, SAC Planning, and Financial Planning to identify opportunities that deliver strategic value to the organisation. Key skills that will help you succeed in this role: 4+ years of SAP BW experience as a senior engineer, demonstrating the ability to design, develop, and implement complex end-to-end enterprise reporting solutions. Strong understanding of data modelling principles and techniques to optimize data structures and enable efficient analysis, including ADSOs, Composite Providers, ABAP knowledge, and BEx queries. In-depth knowledge of integrated technical design concepts and reporting and analytics principles within a global organisation. Proven experience working on multiple full lifecycle, complex global ERP reporting and analytics projects supporting multi-divisional and multi-regional needs. Excellent communication skills, with the ability to bridge technical and business perspectives and collaborate effectively with both technical and non-technical stakeholders. Proficiency in English, both written and verbal. SAC experience with the ability to design, develop, and implement complex end-to-end reporting solutions would be an advantage. Even if you only match some of the skills, we'd love to hear from you to discuss further! What we offer: We make sure salaries are fair, competitive and aligned to individual roles, experience and responsibilities. We are also supportive of hybrid and flexible working and where applicable, offer life, medical and other benefits that support our employees' financial and physical wellbeing, such as: Retirement savings Share plans Saving accounts Life and disability insurance Medical plans / health assessments Fitness discounts Ready to make a meaningful impact on your career and the environment? Join us and help shape a sustainable future while advancing your career! At JM, inclusivity is central to our values. We create an environment where everyone can thrive, embracing diverse perspectives to tackle challenges and ensure all colleagues feel valued and connected. For any queries or accessibility requirements, please contact (url removed). We will work with you to make suitable adjustments at any stage of the recruitment process. All conversations are confidential, and your feedback is welcome to help us provide an accessible and positive recruitment experience. Closing date for applications: This job advertisement will be posted for a minimum of 2 weeks, early application is advised. To submit your application, please click the "Apply" button online. All applications are carefully considered and your details will be stored on our secure Application Management System. This is used throughout Johnson Matthey for the selection of suitable candidates for our vacancies as they arise.Johnson Matthey respects your privacy and is committed to protecting your personal information. For more information about how your personal data is used please view our privacy notice: Johnson Matthey Privacy Notice . By applying for this role and creating an account you are agreeing to the notice. Johnson Matthey Plc is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, marriage or civil partnership, pregnancy or maternity, religion or belief.
Company Description At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring. Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the worlds leading job-tech platform. Your benefits Were a community here that cares as much about your life outside work as how you feel when youre with us. Because your job shouldnt take over your life, it should enrich it. Here are some of the benefits we offer: 29 days holiday allowance + bank holidays Private medical and dental healthcare Pension contribution up to 10% Training and development opportunities Cycle to work scheme In house Barista Hybrid working model Volunteering days and you can bring your dog to the office! Job Description We are looking for a personwho will take ownership and support us in implementing andmaintainingweb and mobile analytics foralarge international job tech platform, with over 50 million visits each month, to deliver the best user experiences and personalisation for job seekers. The fit: Are you an individualwhocancoach and mentorother people to be their best? Do you want to steer your team towardsbest inusingstate-of-the-arttechnologies,and delivering high-end, award-winning products? Do you like to work in a dynamic, active environment and haveownershipofhow it is builtandoperated? Are you a team player who wants to share ideas and expand your knowledge whilstinfluencingpeople andengineeringculture? Would you like to work in aproduct-drivenanduser-firstapproachenvironment,deliveringbest-in-classanalytics tracking forweb andmobileproducts to the world? Ifyouveanswered yes to the above this role is for you. Your Work: Coding, QA and configuration of analytics tracking code. Implement TMS (Tealium IQ, Adobe Analytics, GTM and Adobe Dynamic Tag Manager) changes. Integrate data sources via web and REST APIs. Data pipping and modelling using SQL, DBT, Airflow, ETL, Data Warehousing, Redshift and Python. Transfer knowledge of the business processes and requirements to the development teams. Collaborate with Product, Marketing and Development teams to collect business requirements and translate them into effective tracking requirements. Lead tracking initiatives, maintain a holistic view of our web and mobile analytics tracking, and collaborate with other teams to support and deliver OKRs. Be a technical evangelist, constantly learning and researching new technologies to simplify our tech stack and drive outcomes for analytics tracking by coordinating work with other teams across the company to make things happen. This role will best suit an individual who enjoys working as part of a team, is well organised, pragmatic and a lateral thinker with an inquisitive mind who is motivated to make change for the better and, most importantly, puts our users first. Qualifications Proficient in Web Technologies: HTML, CSS, JavaScript, React.js, Next.jsand Node.js whilst you are not going to be coding a full website and its features, we are coding core tracking methods in JavaScript with proper release cycles. E-commerce and mobile applications experience. Considerabledigital experience working onbehaviouraltracking implementations for Adobe and Google Analytics,and marketing tags with GoogleAdWorks, Criteo, Bing, Facebook, Adjust andAdobe Analytics. Strong working knowledgein handling APIs, eventlistenersandJavaScript able to write clean,readableandperformant code. Prior experience in implementing Analytics for native mobile apps, able todemonstrateclear process of providing requirements, QA and sign-off. Additional Information Our commitment: Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic. JBRP1_UKTJ
06/12/2025
Full time
Company Description At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring. Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the worlds leading job-tech platform. Your benefits Were a community here that cares as much about your life outside work as how you feel when youre with us. Because your job shouldnt take over your life, it should enrich it. Here are some of the benefits we offer: 29 days holiday allowance + bank holidays Private medical and dental healthcare Pension contribution up to 10% Training and development opportunities Cycle to work scheme In house Barista Hybrid working model Volunteering days and you can bring your dog to the office! Job Description We are looking for a personwho will take ownership and support us in implementing andmaintainingweb and mobile analytics foralarge international job tech platform, with over 50 million visits each month, to deliver the best user experiences and personalisation for job seekers. The fit: Are you an individualwhocancoach and mentorother people to be their best? Do you want to steer your team towardsbest inusingstate-of-the-arttechnologies,and delivering high-end, award-winning products? Do you like to work in a dynamic, active environment and haveownershipofhow it is builtandoperated? Are you a team player who wants to share ideas and expand your knowledge whilstinfluencingpeople andengineeringculture? Would you like to work in aproduct-drivenanduser-firstapproachenvironment,deliveringbest-in-classanalytics tracking forweb andmobileproducts to the world? Ifyouveanswered yes to the above this role is for you. Your Work: Coding, QA and configuration of analytics tracking code. Implement TMS (Tealium IQ, Adobe Analytics, GTM and Adobe Dynamic Tag Manager) changes. Integrate data sources via web and REST APIs. Data pipping and modelling using SQL, DBT, Airflow, ETL, Data Warehousing, Redshift and Python. Transfer knowledge of the business processes and requirements to the development teams. Collaborate with Product, Marketing and Development teams to collect business requirements and translate them into effective tracking requirements. Lead tracking initiatives, maintain a holistic view of our web and mobile analytics tracking, and collaborate with other teams to support and deliver OKRs. Be a technical evangelist, constantly learning and researching new technologies to simplify our tech stack and drive outcomes for analytics tracking by coordinating work with other teams across the company to make things happen. This role will best suit an individual who enjoys working as part of a team, is well organised, pragmatic and a lateral thinker with an inquisitive mind who is motivated to make change for the better and, most importantly, puts our users first. Qualifications Proficient in Web Technologies: HTML, CSS, JavaScript, React.js, Next.jsand Node.js whilst you are not going to be coding a full website and its features, we are coding core tracking methods in JavaScript with proper release cycles. E-commerce and mobile applications experience. Considerabledigital experience working onbehaviouraltracking implementations for Adobe and Google Analytics,and marketing tags with GoogleAdWorks, Criteo, Bing, Facebook, Adjust andAdobe Analytics. Strong working knowledgein handling APIs, eventlistenersandJavaScript able to write clean,readableandperformant code. Prior experience in implementing Analytics for native mobile apps, able todemonstrateclear process of providing requirements, QA and sign-off. Additional Information Our commitment: Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic. JBRP1_UKTJ
Location: Worcester area (fully onsite) Duration: 6 month initial contract Rate: £78ph LTD (Outside IR35) Due to the nature of the role, candidates must hold active DV clearance. Role details: Our client, a leading defence and security company, are looking for DV cleared Data Engineers to join their team on a contract basis. This is a fully onsite role with the option of compressed hours. This role requires strong expertise in building and managing data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. The successful candidate will design, implement, and maintain scalable, secure data solutions, ensuring compliance with strict security standards and regulations. Responsibilities not limited to: Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. Implement data ingestion, transformation, and integration processes, ensuring data quality and security. Collaborate with data architects and security teams to ensure compliance with security policies and data governance standards. Manage and monitor large-scale data flows in real-time, ensuring system performance, reliability, and data integrity. Develop robust data models to support analytics and reporting within secure environments. Perform troubleshooting, debugging, and performance tuning of data pipelines and the Elastic Stack. Build dashboards and visualizations in Kibana to enable data-driven decision-making. Ensure high availability and disaster recovery for data systems, implementing appropriate backup and replication strategies. Document data architecture, workflows, and security protocols to ensure smooth operational handover and audit readiness. Interested? Apply today via the link provided! JBRP1_UKTJ
06/12/2025
Full time
Location: Worcester area (fully onsite) Duration: 6 month initial contract Rate: £78ph LTD (Outside IR35) Due to the nature of the role, candidates must hold active DV clearance. Role details: Our client, a leading defence and security company, are looking for DV cleared Data Engineers to join their team on a contract basis. This is a fully onsite role with the option of compressed hours. This role requires strong expertise in building and managing data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. The successful candidate will design, implement, and maintain scalable, secure data solutions, ensuring compliance with strict security standards and regulations. Responsibilities not limited to: Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. Implement data ingestion, transformation, and integration processes, ensuring data quality and security. Collaborate with data architects and security teams to ensure compliance with security policies and data governance standards. Manage and monitor large-scale data flows in real-time, ensuring system performance, reliability, and data integrity. Develop robust data models to support analytics and reporting within secure environments. Perform troubleshooting, debugging, and performance tuning of data pipelines and the Elastic Stack. Build dashboards and visualizations in Kibana to enable data-driven decision-making. Ensure high availability and disaster recovery for data systems, implementing appropriate backup and replication strategies. Document data architecture, workflows, and security protocols to ensure smooth operational handover and audit readiness. Interested? Apply today via the link provided! JBRP1_UKTJ
Senior Android Engineer Kotlin, Jetpack Compose, Modular Architecture Location: Manchester Are you a Android Engineer ready to move beyond feature development and architect the future of a large-scale, multi-module application ? We are seeking a high-autonomy technical leader to drive the adoption of modern practices, mentor peers, and make data-driven decisions alongside Product and UX stakeholders. What You Must Bring: 5+ years of professional Android development experience, with a focus on Kotlin . Expertise in Jetpack Compose for building modern, adaptive UI. Hands-on experience with modern concurrency tools: Kotlin Coroutines and Flow . Proven experience working on large-scale applications with a modularized or multi-module architecture . Familiarity with dependency injection frameworks (e.g., Hilt, Dagger, Koin). Strong understanding of network communication using Retrofit and OKHttp . Nice-to-Have Skills: Experience with Kotlin Multiplatform (KMP) or sharing logic across iOS/Android clients. Experience with implementing features for accessibility . Familiarity with monitoring and analytics tools (e.g., Firebase, Mixpanel). If you're ready to combine technical depth with strategic product ownership, apply now! or share your updated CV to sai saranya Randstad Technologies is acting as an Employment Business in relation to this vacancy.
06/12/2025
Contractor
Senior Android Engineer Kotlin, Jetpack Compose, Modular Architecture Location: Manchester Are you a Android Engineer ready to move beyond feature development and architect the future of a large-scale, multi-module application ? We are seeking a high-autonomy technical leader to drive the adoption of modern practices, mentor peers, and make data-driven decisions alongside Product and UX stakeholders. What You Must Bring: 5+ years of professional Android development experience, with a focus on Kotlin . Expertise in Jetpack Compose for building modern, adaptive UI. Hands-on experience with modern concurrency tools: Kotlin Coroutines and Flow . Proven experience working on large-scale applications with a modularized or multi-module architecture . Familiarity with dependency injection frameworks (e.g., Hilt, Dagger, Koin). Strong understanding of network communication using Retrofit and OKHttp . Nice-to-Have Skills: Experience with Kotlin Multiplatform (KMP) or sharing logic across iOS/Android clients. Experience with implementing features for accessibility . Familiarity with monitoring and analytics tools (e.g., Firebase, Mixpanel). If you're ready to combine technical depth with strategic product ownership, apply now! or share your updated CV to sai saranya Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Location: London, Potters Bar or Bristol (Hybrid working options available) The Senior BA / Senior Data Modeller will take end-to-end ownership of the design, development, and maintenance of data models that underpin our enterprise data platform, with a particular focus on Databricks and the Nova platform. This role is critical in ensuring that our data assets are structured, governed, and optimised to support business intelligence, analytics, and reporting requirements. We are seeking an experienced professional who is comfortable working closely with data engineers, architects, and business stakeholders to translate business requirements into robust, scalable, and well-documented data models. You will be responsible for both logical and physical data modelling and will act as the subject matter expert and owner for all data models within your domain. What you'll do Take full ownership of the data modelling lifecycle, from requirements gathering through to deployment and ongoing maintenance. Design, develop, and maintain logical and physical data models, primarily using Databricks and the Nova platform. Ensure data models are aligned with business requirements, data governance standards, and best practices. Collaborate with data engineers, architects, and business stakeholders to understand data requirements and translate them into effective data structures. Document data models, definitions, and metadata to ensure clarity and consistency across the organisation. Review and optimise existing data models for performance, scalability, and maintainability. Lead model validation and quality assurance activities, ensuring models are accurate and fit for purpose. Provide guidance and support to project teams and business users on data modelling best practices. Act as the primary point of contact and subject matter expert for all matters relating to data models within your area of responsibility. Champion data model governance and ensure models are maintained in line with organisational standards and policies. Support the integration of new data sources and the evolution of the enterprise data platform. Knowledge / Experience / Skills Essential Extensive experience in data modelling, including both logical and physical modelling, ideally within Databricks and/or similar cloud-based platforms. Demonstrable experience of owning and maintaining enterprise data models, including responsibility for model governance and documentation. Strong understanding of data warehousing, lakehouse architectures, and modern data platforms. Ability to translate complex business requirements into scalable and efficient data models. Proficient in data modelling tools and techniques, with hands-on experience in Databricks and the Nova platform (or similar). Excellent communication skills, with the ability to work collaboratively across technical and business teams. Experience in data governance, metadata management, and data quality assurance. Strong analytical and problem-solving skills. Desirable Experience working in regulated industries such as insurance or financial services. Familiarity with reporting requirements such as IFRS and Solvency II. Experience with data visualisation tools and supporting analytics/reporting teams. Knowledge of automation tools and scripting for data model management. Experience working in Agile product teams and using tools such as JIRA/Confluence.
06/12/2025
Full time
Location: London, Potters Bar or Bristol (Hybrid working options available) The Senior BA / Senior Data Modeller will take end-to-end ownership of the design, development, and maintenance of data models that underpin our enterprise data platform, with a particular focus on Databricks and the Nova platform. This role is critical in ensuring that our data assets are structured, governed, and optimised to support business intelligence, analytics, and reporting requirements. We are seeking an experienced professional who is comfortable working closely with data engineers, architects, and business stakeholders to translate business requirements into robust, scalable, and well-documented data models. You will be responsible for both logical and physical data modelling and will act as the subject matter expert and owner for all data models within your domain. What you'll do Take full ownership of the data modelling lifecycle, from requirements gathering through to deployment and ongoing maintenance. Design, develop, and maintain logical and physical data models, primarily using Databricks and the Nova platform. Ensure data models are aligned with business requirements, data governance standards, and best practices. Collaborate with data engineers, architects, and business stakeholders to understand data requirements and translate them into effective data structures. Document data models, definitions, and metadata to ensure clarity and consistency across the organisation. Review and optimise existing data models for performance, scalability, and maintainability. Lead model validation and quality assurance activities, ensuring models are accurate and fit for purpose. Provide guidance and support to project teams and business users on data modelling best practices. Act as the primary point of contact and subject matter expert for all matters relating to data models within your area of responsibility. Champion data model governance and ensure models are maintained in line with organisational standards and policies. Support the integration of new data sources and the evolution of the enterprise data platform. Knowledge / Experience / Skills Essential Extensive experience in data modelling, including both logical and physical modelling, ideally within Databricks and/or similar cloud-based platforms. Demonstrable experience of owning and maintaining enterprise data models, including responsibility for model governance and documentation. Strong understanding of data warehousing, lakehouse architectures, and modern data platforms. Ability to translate complex business requirements into scalable and efficient data models. Proficient in data modelling tools and techniques, with hands-on experience in Databricks and the Nova platform (or similar). Excellent communication skills, with the ability to work collaboratively across technical and business teams. Experience in data governance, metadata management, and data quality assurance. Strong analytical and problem-solving skills. Desirable Experience working in regulated industries such as insurance or financial services. Familiarity with reporting requirements such as IFRS and Solvency II. Experience with data visualisation tools and supporting analytics/reporting teams. Knowledge of automation tools and scripting for data model management. Experience working in Agile product teams and using tools such as JIRA/Confluence.
Harnham - Data & Analytics Recruitment
Manchester, Lancashire
Senior Data Engineer Remote first (occasional travel to office) Salary: up to £95,000 I'm partnered with a fast-scaling retailer who are looking to bring a Senior Data Engineer into their team. With over 40M+ global users and rapid year-on-year growth, this organisation is investing heavily in data to power smarter decisions, richer insights, and long-term product innovation. You'll work closely with internal teams to design, build, and optimise data models and ingestion pipelines, contributing to a new data lake and a robust gold-layer architecture. You'll also have the chance to shape ML-ready pipelines and mentor more junior data engineers. What you'll be doing Building scalable data models and ingestion pipelines for a new data lake Working across multiple data domains and supporting internal partners Designing and delivering high-quality datasets for BI, insights, and analytics use cases Collaborating with product, engineering, and analytics stakeholders Supporting third-party data ingestion workflows Owning end-to-end delivery of production-grade data solutions Potential involvement in ML pipeline development Mentoring less experienced team members and fostering a culture of knowledge sharing Communicating clearly and effectively with diverse technical and non-technical audiences Tech stack Python , Airflow , Terraform Azure (but open to other cloud experience) DBT (nice to have) Exposure to ML pipelines beneficial
06/12/2025
Full time
Senior Data Engineer Remote first (occasional travel to office) Salary: up to £95,000 I'm partnered with a fast-scaling retailer who are looking to bring a Senior Data Engineer into their team. With over 40M+ global users and rapid year-on-year growth, this organisation is investing heavily in data to power smarter decisions, richer insights, and long-term product innovation. You'll work closely with internal teams to design, build, and optimise data models and ingestion pipelines, contributing to a new data lake and a robust gold-layer architecture. You'll also have the chance to shape ML-ready pipelines and mentor more junior data engineers. What you'll be doing Building scalable data models and ingestion pipelines for a new data lake Working across multiple data domains and supporting internal partners Designing and delivering high-quality datasets for BI, insights, and analytics use cases Collaborating with product, engineering, and analytics stakeholders Supporting third-party data ingestion workflows Owning end-to-end delivery of production-grade data solutions Potential involvement in ML pipeline development Mentoring less experienced team members and fostering a culture of knowledge sharing Communicating clearly and effectively with diverse technical and non-technical audiences Tech stack Python , Airflow , Terraform Azure (but open to other cloud experience) DBT (nice to have) Exposure to ML pipelines beneficial
Lead API Solution Architect - Director Level - Up to £1000 per day INSIDE IR35 Banking Client London Our client, are seeking an experienced Lead API Solution Architect to shape and drive the enterprise API strategy across the financial services landscape. This senior role requires a strategic technology leader with strong expertise in API architecture and deep experience working in regulated banking environments . Key Responsibilities Define and lead API strategy across the enterprise, aligned to business priorities. Promote API-first adoption and reusable architecture patterns across the organization. Establish governance standards covering API lifecycle, design, and versioning. Design secure and scalable API solutions across banking platforms and partner ecosystems. Enable integration across core banking systems, third-party fintechs, and cloud environments. Collaborate with enterprise architects and business stakeholders to shape end-to-end solutions. Embed strong API security practices and identity standards (OAuth2, OIDC). Ensure compliance with financial regulations, including data privacy and risk controls. Assess and mitigate security threats in API exposure and integration patterns. Provide technical leadership to architecture and engineering teams. Mentor teams on API best practices and design standards. Drive architectural reviews and influence senior technology stakeholders. Ensure APIs meet business SLAs for availability, performance, and resilience. Use analytics and monitoring to drive continuous improvement. Essential Skills Proven API architecture leadership in banking or regulated financial environments. Working knowledge of payments, KYC, lending, trading, or regulatory reporting. Familiarity with Open Banking standards and financial API ecosystems. Strong understanding of REST, JSON, OpenAPI, and event-driven integration. Experience with API platforms such as Azure API Management or Apigee . Knowledge of secure messaging and integration tools (e.g. Kafka, IBM MQ). Experience designing solutions on major cloud platforms (preferably Azure ). CI/CD pipelines and DevOps practices are essential.
06/12/2025
Contractor
Lead API Solution Architect - Director Level - Up to £1000 per day INSIDE IR35 Banking Client London Our client, are seeking an experienced Lead API Solution Architect to shape and drive the enterprise API strategy across the financial services landscape. This senior role requires a strategic technology leader with strong expertise in API architecture and deep experience working in regulated banking environments . Key Responsibilities Define and lead API strategy across the enterprise, aligned to business priorities. Promote API-first adoption and reusable architecture patterns across the organization. Establish governance standards covering API lifecycle, design, and versioning. Design secure and scalable API solutions across banking platforms and partner ecosystems. Enable integration across core banking systems, third-party fintechs, and cloud environments. Collaborate with enterprise architects and business stakeholders to shape end-to-end solutions. Embed strong API security practices and identity standards (OAuth2, OIDC). Ensure compliance with financial regulations, including data privacy and risk controls. Assess and mitigate security threats in API exposure and integration patterns. Provide technical leadership to architecture and engineering teams. Mentor teams on API best practices and design standards. Drive architectural reviews and influence senior technology stakeholders. Ensure APIs meet business SLAs for availability, performance, and resilience. Use analytics and monitoring to drive continuous improvement. Essential Skills Proven API architecture leadership in banking or regulated financial environments. Working knowledge of payments, KYC, lending, trading, or regulatory reporting. Familiarity with Open Banking standards and financial API ecosystems. Strong understanding of REST, JSON, OpenAPI, and event-driven integration. Experience with API platforms such as Azure API Management or Apigee . Knowledge of secure messaging and integration tools (e.g. Kafka, IBM MQ). Experience designing solutions on major cloud platforms (preferably Azure ). CI/CD pipelines and DevOps practices are essential.
Senior Data Engineer - Azure Data - Burton-on-Trent - Permanent - Hybrid Salary - £60,000 - £67,000 per annum This role requires 1 day / week in Burton-on-Trent, with hybrid working arrangements. Our client is seeking a highly skilled Senior Data Engineer to join their dynamic IT team, based in Burton-on-Trent. The Senior Data Engineer will come on board to support the Strategic Data Manager in establishing and managing an efficient Business Intelligence technical service. Assisting in the advancement of our cloud-based data platforms, providing options for timely processing and cost-efficient solutions. A strong background in Azure Data Pipeline development is key for this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and retrieval. Ensure compliance with data protection laws (e.g., GDPR), implement encryption and access controls. Work with cross-functional teams and mentor junior engineers. Manage and tune Azure SQL Database instances. Proactively monitor pipelines and infrastructure for performance and reliability. Maintain technical documentation and lead knowledge-sharing initiatives. Deploy advanced analytics and machine learning solutions using Azure. Stay current with Azure technologies and identify areas for enhancement. Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination, openness to innovation. Strong Microsoft Office 365 experience Interested? Please submit your updated CV to Lewis Rushton at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy Crimson is acting as an employment agency regarding this vacancy
06/12/2025
Full time
Senior Data Engineer - Azure Data - Burton-on-Trent - Permanent - Hybrid Salary - £60,000 - £67,000 per annum This role requires 1 day / week in Burton-on-Trent, with hybrid working arrangements. Our client is seeking a highly skilled Senior Data Engineer to join their dynamic IT team, based in Burton-on-Trent. The Senior Data Engineer will come on board to support the Strategic Data Manager in establishing and managing an efficient Business Intelligence technical service. Assisting in the advancement of our cloud-based data platforms, providing options for timely processing and cost-efficient solutions. A strong background in Azure Data Pipeline development is key for this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and retrieval. Ensure compliance with data protection laws (e.g., GDPR), implement encryption and access controls. Work with cross-functional teams and mentor junior engineers. Manage and tune Azure SQL Database instances. Proactively monitor pipelines and infrastructure for performance and reliability. Maintain technical documentation and lead knowledge-sharing initiatives. Deploy advanced analytics and machine learning solutions using Azure. Stay current with Azure technologies and identify areas for enhancement. Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination, openness to innovation. Strong Microsoft Office 365 experience Interested? Please submit your updated CV to Lewis Rushton at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy Crimson is acting as an employment agency regarding this vacancy
Senior Data Engineer - Microsoft Fabric Location: Hybrid (UK) - Hampshire Type: Permanent Salary: Up to £75,000 About the Role We're looking for an experienced Senior Data Engineer with deep expertise in Microsoft Fabric to design and deliver modern cloud data platforms for enterprise clients. This role involves building scalable architectures, optimising data pipelines, and creating high-quality semantic models to support advanced analytics and reporting. You'll work across Microsoft Fabric, Power BI, and related technologies, enabling organisations to modernise legacy systems and adopt best-practice data engineering patterns. This is a hands-on, client-facing role where you'll lead technical conversations and deliver robust, maintainable solutions. Key Responsibilities Design end-to-end data architectures using Medallion (Bronze/Silver/Gold) patterns Build metadata-driven ingestion pipelines and transformation frameworks Develop advanced PySpark/Spark SQL notebooks for data cleansing and modelling Create production-ready semantic models and support BI teams Implement governance, security, and CI/CD best practices Engage with clients to translate business requirements into technical solutions Essential Skills Strong experience with Microsoft Fabric workloads (Lakehouse, Data Factory, Pipelines, Notebooks, Semantic Models) Advanced PySpark/Spark SQL for large-scale transformations Integration with Dynamics 365, Dataverse, and/or Business Central CI/CD implementation using Azure DevOps or GitHub Solid understanding of dimensional modelling and Power BI optimisation Desirable Microsoft Fabric certifications Familiarity with Azure services and Power Platform Experience in consultancy environments and large enterprise data estates
05/12/2025
Full time
Senior Data Engineer - Microsoft Fabric Location: Hybrid (UK) - Hampshire Type: Permanent Salary: Up to £75,000 About the Role We're looking for an experienced Senior Data Engineer with deep expertise in Microsoft Fabric to design and deliver modern cloud data platforms for enterprise clients. This role involves building scalable architectures, optimising data pipelines, and creating high-quality semantic models to support advanced analytics and reporting. You'll work across Microsoft Fabric, Power BI, and related technologies, enabling organisations to modernise legacy systems and adopt best-practice data engineering patterns. This is a hands-on, client-facing role where you'll lead technical conversations and deliver robust, maintainable solutions. Key Responsibilities Design end-to-end data architectures using Medallion (Bronze/Silver/Gold) patterns Build metadata-driven ingestion pipelines and transformation frameworks Develop advanced PySpark/Spark SQL notebooks for data cleansing and modelling Create production-ready semantic models and support BI teams Implement governance, security, and CI/CD best practices Engage with clients to translate business requirements into technical solutions Essential Skills Strong experience with Microsoft Fabric workloads (Lakehouse, Data Factory, Pipelines, Notebooks, Semantic Models) Advanced PySpark/Spark SQL for large-scale transformations Integration with Dynamics 365, Dataverse, and/or Business Central CI/CD implementation using Azure DevOps or GitHub Solid understanding of dimensional modelling and Power BI optimisation Desirable Microsoft Fabric certifications Familiarity with Azure services and Power Platform Experience in consultancy environments and large enterprise data estates
HM Land Registry (HMLR) is undertaking one of the largest transformation programmes in government, modernising the digital systems that support over £7 trillion of property ownership. As a Data Engineer, you will support the development of HMLR's data engineering capability by helping to build and maintain reliable data pipelines and products. Your work will contribute to improving data access, quality and value across the organisation, supporting programmes that influence how HMLR manages and uses its data in the future. Salary up to £44,400, 29% employer pension contribution plus full Civil Service benefits. Flexible, hybrid working from Plymouth, Croydon or Coventry. About the role This role has come to fruition as HMLR embarks on a significant modernisation of its core services and data infrastructure. With new funding secured and a dedicated Data Engineering capability being formed for the first time, there is a crucial need to build strong, reliable data systems that can support future services and national programmes. As a Data Engineer, you'll work closely with senior data engineering colleagues and multidisciplinary teams to deliver robust data systems, complex data flows and data products for analytics and business intelligence. You'll contribute to opportunity discovery, support the development of prototypes and production-ready solutions, and help address technical problems through research and experimentation. Alongside this, you'll play an active role in improving data engineering processes and maintaining resilient, high-quality solutions in production. If you would like to find out more about the role, the Data Engineering capability and what it's like to work at HMLR, a Hiring Manager Q&A session where you can virtually 'meet the team' will be held via Teams on Tuesday, 6th of January at 12:30pm. Follow APply link to register your interest. Key Responsibilities Support the design and maintenance of data flows that connect operational systems and provide data for analytics and BI. Help re-engineer manual processes into scalable, repeatable data pipelines and write optimised ETL code. Contribute to building data streaming capabilities and creating accessible data products for analysis. Improve data quality, document data mappings, and identify opportunities to optimise data engineering processes. Work collaboratively with other teams, follow industry best practice aligned to HMLR standards, and participate in the data engineering community. Develop understanding of legacy systems, learn the basics of Land Registry operations, and maintain awareness of organisational priorities. Continue personal development to build skills and knowledge relevant to the role. Essential Skills Experience of using a unified engine for large-scale data analytics (e.g. Spark/PySpark) Experience in writing, testing and implementing scripts (e.g. Python, Scala) Experience of cloud data stack use (e.g. SageMaker Notebooks, S3, Glue, Athena) Communicating technical concepts clearly to both technical and non-technical stakeholders using appropriate language and methods. Profiling data and analysing source systems to produce clear, actionable insights. Desirable Skills Knowledge of DevOps processes: (e.g. Terraform) Knowledge of data pipeline testing (e.g. end-to-end testing, data quality testing, monitoring & alerting, unit & contract testing) Knowledge of the data lifecycle (e.g. development, analysis, modelling (e.g. IDA Infosphere Data Architect), integration, metadata management). Location Expectation is to be working from any of the advertised locations 60% of your time across the month (typically three days per week). Hours are flexible and condensed hours are an option. Locations available: Croydon, Coventry, Plymouth Salary Civil Service Grade: HEO Dependent upon assessment at interview your starting salary will be one of the following: Developing - £41,100 Proficient - £43,100 Accomplished - £44,400 Benefits Over 29% employer pension contribution Annual leave of 28.5 days per year plus 8 public holidays A clear progression pathway including personalised training and development plans Expensed accreditations with dedicated training days Flexi-time scheme (you decide what working hours work best for you) Opportunity to work condensed hours Social and sports clubs Access to an Employee Assistance Programme for counselling and support Interest-free season ticket loan Cycle to Work scheme (salary sacrifice) HMLR has a strong and positive culture, a commitment to inclusivity, a focus on continuous learning and development, and flexible ways of working. Further Information Application deadline: 11:55pm Thursday 8th of January 2026 Please apply with a CV that provides evidence against the essential skills. HMLR does not hold a UK Visa & Immigration (UKVI) Skilled Worker Licence and is unable to sponsor individuals for Skilled Worker sponsorship. If you are a motivated data professional who enjoys solving complex data problems, working collaboratively in agile teams and delivering reliable, high-quality data solutions, this is your chance to make a real impact. Join HM Land Registry and play a key role in shaping the data capabilities that support property ownership and public services across England and Wales.Apply now or contact Keesha in complete confidence.
05/12/2025
Full time
HM Land Registry (HMLR) is undertaking one of the largest transformation programmes in government, modernising the digital systems that support over £7 trillion of property ownership. As a Data Engineer, you will support the development of HMLR's data engineering capability by helping to build and maintain reliable data pipelines and products. Your work will contribute to improving data access, quality and value across the organisation, supporting programmes that influence how HMLR manages and uses its data in the future. Salary up to £44,400, 29% employer pension contribution plus full Civil Service benefits. Flexible, hybrid working from Plymouth, Croydon or Coventry. About the role This role has come to fruition as HMLR embarks on a significant modernisation of its core services and data infrastructure. With new funding secured and a dedicated Data Engineering capability being formed for the first time, there is a crucial need to build strong, reliable data systems that can support future services and national programmes. As a Data Engineer, you'll work closely with senior data engineering colleagues and multidisciplinary teams to deliver robust data systems, complex data flows and data products for analytics and business intelligence. You'll contribute to opportunity discovery, support the development of prototypes and production-ready solutions, and help address technical problems through research and experimentation. Alongside this, you'll play an active role in improving data engineering processes and maintaining resilient, high-quality solutions in production. If you would like to find out more about the role, the Data Engineering capability and what it's like to work at HMLR, a Hiring Manager Q&A session where you can virtually 'meet the team' will be held via Teams on Tuesday, 6th of January at 12:30pm. Follow APply link to register your interest. Key Responsibilities Support the design and maintenance of data flows that connect operational systems and provide data for analytics and BI. Help re-engineer manual processes into scalable, repeatable data pipelines and write optimised ETL code. Contribute to building data streaming capabilities and creating accessible data products for analysis. Improve data quality, document data mappings, and identify opportunities to optimise data engineering processes. Work collaboratively with other teams, follow industry best practice aligned to HMLR standards, and participate in the data engineering community. Develop understanding of legacy systems, learn the basics of Land Registry operations, and maintain awareness of organisational priorities. Continue personal development to build skills and knowledge relevant to the role. Essential Skills Experience of using a unified engine for large-scale data analytics (e.g. Spark/PySpark) Experience in writing, testing and implementing scripts (e.g. Python, Scala) Experience of cloud data stack use (e.g. SageMaker Notebooks, S3, Glue, Athena) Communicating technical concepts clearly to both technical and non-technical stakeholders using appropriate language and methods. Profiling data and analysing source systems to produce clear, actionable insights. Desirable Skills Knowledge of DevOps processes: (e.g. Terraform) Knowledge of data pipeline testing (e.g. end-to-end testing, data quality testing, monitoring & alerting, unit & contract testing) Knowledge of the data lifecycle (e.g. development, analysis, modelling (e.g. IDA Infosphere Data Architect), integration, metadata management). Location Expectation is to be working from any of the advertised locations 60% of your time across the month (typically three days per week). Hours are flexible and condensed hours are an option. Locations available: Croydon, Coventry, Plymouth Salary Civil Service Grade: HEO Dependent upon assessment at interview your starting salary will be one of the following: Developing - £41,100 Proficient - £43,100 Accomplished - £44,400 Benefits Over 29% employer pension contribution Annual leave of 28.5 days per year plus 8 public holidays A clear progression pathway including personalised training and development plans Expensed accreditations with dedicated training days Flexi-time scheme (you decide what working hours work best for you) Opportunity to work condensed hours Social and sports clubs Access to an Employee Assistance Programme for counselling and support Interest-free season ticket loan Cycle to Work scheme (salary sacrifice) HMLR has a strong and positive culture, a commitment to inclusivity, a focus on continuous learning and development, and flexible ways of working. Further Information Application deadline: 11:55pm Thursday 8th of January 2026 Please apply with a CV that provides evidence against the essential skills. HMLR does not hold a UK Visa & Immigration (UKVI) Skilled Worker Licence and is unable to sponsor individuals for Skilled Worker sponsorship. If you are a motivated data professional who enjoys solving complex data problems, working collaboratively in agile teams and delivering reliable, high-quality data solutions, this is your chance to make a real impact. Join HM Land Registry and play a key role in shaping the data capabilities that support property ownership and public services across England and Wales.Apply now or contact Keesha in complete confidence.
Prospectus are delighted to be supporting a key client within the sector who are recognised for their amazing, impactful work. We're looking for a highly skilled Data Platform Lead to design, build, and evolve a modern data platform that supports complex, high-impact work. This is a hands on technical leadership role, ideally suited to someone who is a data architect and engineer first, with the ability to guide a small team and work confidently with senior stakeholders. You'll lead the development of a scalable platform using Microsoft Fabric and Azure, shaping data architecture, engineering best practice, and the delivery of robust, trusted datasets. The environment involves large, sensitive and diverse data sources, so a strong understanding of data quality, lineage, and secure processing is essential. This is a remote role (UK-based) with occasional travel for team or stakeholder sessions. Key Responsibilities Architect, build, and modernise the organisation's data platform using Azure and Microsoft Fabric. Lead and mentor a small analytics and engineering team. Set technical direction for data modelling, pipelines, governance, and quality. Work closely with stakeholders to translate operational and strategic needs into clear data solutions. Promote modern engineering standards including Git, CI/CD, IaC, and Delta Lake. Ensure robust handling of complex and sensitive datasets from varied sources. About You You will have extensive hands-on experience in data engineering and data architecture as well as strong skills in SQL, Python, data modelling, ETL/ELT design, and orchestration. You will have a proven background with Azure storage, compute, security and Microsoft Fabric components such as Dataflows, Lakehouse, Pipelines or Synapse and familiarity with Azure Data Factory, Git, CI/CD, and modern DevOps practices. You'll also be a confident communicator able to influence and collaborate with both technical and non-technical colleagues. Ideally, you will have experience leading technical teams and delivering high-quality, production-ready data solutions. If you haven't done this, you will need to demonstrate your ability to step up into a lead role. At Prospectus we invest in your journey as a candidate and are committed to supporting you with your application. We welcome candidates from a diverse range of backgrounds and we are happy to make reasonable adjustments to enable all interested candidates to apply. If you need any support with your application, please contact Catherine Bunting at Prospectus.
05/12/2025
Full time
Prospectus are delighted to be supporting a key client within the sector who are recognised for their amazing, impactful work. We're looking for a highly skilled Data Platform Lead to design, build, and evolve a modern data platform that supports complex, high-impact work. This is a hands on technical leadership role, ideally suited to someone who is a data architect and engineer first, with the ability to guide a small team and work confidently with senior stakeholders. You'll lead the development of a scalable platform using Microsoft Fabric and Azure, shaping data architecture, engineering best practice, and the delivery of robust, trusted datasets. The environment involves large, sensitive and diverse data sources, so a strong understanding of data quality, lineage, and secure processing is essential. This is a remote role (UK-based) with occasional travel for team or stakeholder sessions. Key Responsibilities Architect, build, and modernise the organisation's data platform using Azure and Microsoft Fabric. Lead and mentor a small analytics and engineering team. Set technical direction for data modelling, pipelines, governance, and quality. Work closely with stakeholders to translate operational and strategic needs into clear data solutions. Promote modern engineering standards including Git, CI/CD, IaC, and Delta Lake. Ensure robust handling of complex and sensitive datasets from varied sources. About You You will have extensive hands-on experience in data engineering and data architecture as well as strong skills in SQL, Python, data modelling, ETL/ELT design, and orchestration. You will have a proven background with Azure storage, compute, security and Microsoft Fabric components such as Dataflows, Lakehouse, Pipelines or Synapse and familiarity with Azure Data Factory, Git, CI/CD, and modern DevOps practices. You'll also be a confident communicator able to influence and collaborate with both technical and non-technical colleagues. Ideally, you will have experience leading technical teams and delivering high-quality, production-ready data solutions. If you haven't done this, you will need to demonstrate your ability to step up into a lead role. At Prospectus we invest in your journey as a candidate and are committed to supporting you with your application. We welcome candidates from a diverse range of backgrounds and we are happy to make reasonable adjustments to enable all interested candidates to apply. If you need any support with your application, please contact Catherine Bunting at Prospectus.
HM Land Registry (HMLR) is undertaking one of the largest transformation programmes in government, modernising the digital systems that support over £7 trillion of property ownership. As a Senior Data Engineer, you will help establish a new data engineering capability, contributing to the development of reliable data pipelines and products that improve data access, integrity and value across the organisation. Your work will support programmes that shape how HMLR manages and uses its data for years to come. Salary up to £60,800, 29% employer pension contribution plus full Civil Service benefits. Flexible, hybrid working from Plymouth, Croydon or Coventry. About the role This role has come to fruition as HMLR embarks on a significant modernisation of its core services and data infrastructure. With new funding secured and a dedicated Data Engineering capability being formed for the first time, there is a crucial need to build strong, reliable data systems that can support future services and national programmes. As a Senior Data Engineer, you'll design and deliver robust data systems, pipelines and products that support analytics and operational decision-making. Working in agile teams, you'll provide technical leadership, guide colleagues and help shape solutions across the organisation. You'll also support opportunity discovery, develop prototypes and production-ready solutions, and continually improve data engineering practices and systems in production. If you would like to find out more about the role, the Data Engineering capability and what it's like to work at HMLR, a Hiring Manager Q&A session where you can virtually 'meet the team' will be held via Teams on Tuesday, 6th of January at 12:30pm. Follow the apply link to register your interest. Key Responsibilities Identify opportunities to reuse and optimise data flows, including building streaming systems, managing databases and improving code performance. Lead the development and maintenance of data engineering solutions, advising teams as a subject matter expert and ensuring alignment with HMLR standards and approved technologies. Collaborate with senior colleagues to understand where data engineering adds value, supporting strategic and operational decision-making. Support and guide junior team members, contribute to the data engineering community and advocate for data quality, maintainability and reusable components. Continuously improve data systems and maintain awareness of best practice and emerging approaches Essential Skills Experience with large-scale analytics engines (e.g. Spark/PySpark) and scripting languages such as Python or Scala. Hands-on use of cloud data stacks (e.g. SageMaker Notebooks, S3, Glue, Athena) and modern storage formats or frameworks (e.g. Parquet, Delta Lake, Fabric). Experience with DevOps/DataOps tooling and practices (e.g. Terraform) and testing data pipelines, including end-to-end, data quality, monitoring, unit and contract testing. Experience managing the full data lifecycle, including development, analysis, modelling, integration and metadata management. Communicating clearly with technical and non-technical stakeholders, leading discussions in multidisciplinary teams and managing differing viewpointsProfiling data, analysing source systems and creating data models that suit different organisational need Desirable Skills IBM DB2/QREP BMC Control-M Experience of Talend Data Integration (e.g. ETL build and deployment using Talend Cloud. Experience of leadership Experience of metadata management Experience of testing Location Expectation is to be working from any of the advertised locations 60% of your time across the month (typically three days per week). Hours are flexible and condensed hours are an option. Locations available: Croydon, Coventry, Plymouth Salary Civil Service Grade: SEO Dependent upon assessment at interview, your starting salary will be one of the following: Developing: £49,600 Proficient: £55,200 Accomplished: £60,800 Benefits Over 29% employer pension contribution Annual leave of 28.5 days per year plus 8 public holidays A clear progression pathway including personalised training and development plans Expensed accreditations with dedicated training days Flexi-time scheme (you decide what working hours work best for you) Opportunity to work condensed hours Social and sports clubs Access to an Employee Assistance Programme for counselling and support Interest-free season ticket loan Cycle to Work scheme (salary sacrifice) HMLR has a strong and positive culture, a commitment to inclusivity, a focus on continuous learning and development, and flexible ways of working. Further Information Application deadline: 11:55pm Thursday 8th of January 2026 Please apply with a CV that provides evidence against the essential skills. HMLR does not hold a UK Visa & Immigration (UKVI) Skilled Worker Licence and is unable to sponsor individuals for Skilled Worker sponsorship. If you are a motivated and experienced data professional who enjoys leading on complex data challenges, shaping technical approaches and working collaboratively in agile teams, this is your chance to make a significant impact. Join HM Land Registry and play a crucial role in developing and guiding the data capabilities that support property ownership and public services across England and Wales. Apply now or contact Keesha in complete confidence.
05/12/2025
Full time
HM Land Registry (HMLR) is undertaking one of the largest transformation programmes in government, modernising the digital systems that support over £7 trillion of property ownership. As a Senior Data Engineer, you will help establish a new data engineering capability, contributing to the development of reliable data pipelines and products that improve data access, integrity and value across the organisation. Your work will support programmes that shape how HMLR manages and uses its data for years to come. Salary up to £60,800, 29% employer pension contribution plus full Civil Service benefits. Flexible, hybrid working from Plymouth, Croydon or Coventry. About the role This role has come to fruition as HMLR embarks on a significant modernisation of its core services and data infrastructure. With new funding secured and a dedicated Data Engineering capability being formed for the first time, there is a crucial need to build strong, reliable data systems that can support future services and national programmes. As a Senior Data Engineer, you'll design and deliver robust data systems, pipelines and products that support analytics and operational decision-making. Working in agile teams, you'll provide technical leadership, guide colleagues and help shape solutions across the organisation. You'll also support opportunity discovery, develop prototypes and production-ready solutions, and continually improve data engineering practices and systems in production. If you would like to find out more about the role, the Data Engineering capability and what it's like to work at HMLR, a Hiring Manager Q&A session where you can virtually 'meet the team' will be held via Teams on Tuesday, 6th of January at 12:30pm. Follow the apply link to register your interest. Key Responsibilities Identify opportunities to reuse and optimise data flows, including building streaming systems, managing databases and improving code performance. Lead the development and maintenance of data engineering solutions, advising teams as a subject matter expert and ensuring alignment with HMLR standards and approved technologies. Collaborate with senior colleagues to understand where data engineering adds value, supporting strategic and operational decision-making. Support and guide junior team members, contribute to the data engineering community and advocate for data quality, maintainability and reusable components. Continuously improve data systems and maintain awareness of best practice and emerging approaches Essential Skills Experience with large-scale analytics engines (e.g. Spark/PySpark) and scripting languages such as Python or Scala. Hands-on use of cloud data stacks (e.g. SageMaker Notebooks, S3, Glue, Athena) and modern storage formats or frameworks (e.g. Parquet, Delta Lake, Fabric). Experience with DevOps/DataOps tooling and practices (e.g. Terraform) and testing data pipelines, including end-to-end, data quality, monitoring, unit and contract testing. Experience managing the full data lifecycle, including development, analysis, modelling, integration and metadata management. Communicating clearly with technical and non-technical stakeholders, leading discussions in multidisciplinary teams and managing differing viewpointsProfiling data, analysing source systems and creating data models that suit different organisational need Desirable Skills IBM DB2/QREP BMC Control-M Experience of Talend Data Integration (e.g. ETL build and deployment using Talend Cloud. Experience of leadership Experience of metadata management Experience of testing Location Expectation is to be working from any of the advertised locations 60% of your time across the month (typically three days per week). Hours are flexible and condensed hours are an option. Locations available: Croydon, Coventry, Plymouth Salary Civil Service Grade: SEO Dependent upon assessment at interview, your starting salary will be one of the following: Developing: £49,600 Proficient: £55,200 Accomplished: £60,800 Benefits Over 29% employer pension contribution Annual leave of 28.5 days per year plus 8 public holidays A clear progression pathway including personalised training and development plans Expensed accreditations with dedicated training days Flexi-time scheme (you decide what working hours work best for you) Opportunity to work condensed hours Social and sports clubs Access to an Employee Assistance Programme for counselling and support Interest-free season ticket loan Cycle to Work scheme (salary sacrifice) HMLR has a strong and positive culture, a commitment to inclusivity, a focus on continuous learning and development, and flexible ways of working. Further Information Application deadline: 11:55pm Thursday 8th of January 2026 Please apply with a CV that provides evidence against the essential skills. HMLR does not hold a UK Visa & Immigration (UKVI) Skilled Worker Licence and is unable to sponsor individuals for Skilled Worker sponsorship. If you are a motivated and experienced data professional who enjoys leading on complex data challenges, shaping technical approaches and working collaboratively in agile teams, this is your chance to make a significant impact. Join HM Land Registry and play a crucial role in developing and guiding the data capabilities that support property ownership and public services across England and Wales. Apply now or contact Keesha in complete confidence.
We are seeking a highly experienced and strategic senior leader to oversee our Cyber Engineering, Identity & Access Management (IAM), and Data Loss Prevention (DLP) functions. This role will be responsible for driving the design, delivery, and governance of enterprise-wide security engineering solutions, while ensuring secure, scalable, and resilient identity and data protection services. The ideal candidate will combine deep technical expertise with strong leadership skills to shape the future of cybersecurity, identity, and data protection within the organization. This position is designated as a Senior Management Function (SMF) under the Financial Conduct Authority regime, carrying personal accountability for compliance, operational resilience, and security effectiveness. The Role: Strategic Leadership Define and execute the global strategy for Cyber Engineering, IAM, and DLP in alignment with the enterprise security and technology roadmap. Serve as a trusted advisor to the CISO, CIO, and executive leadership on emerging threats, secure architecture, identity, and data protection. Establish metrics and reporting to demonstrate effectiveness, risk reduction, and compliance with regulatory requirements (e.g., National Institute of Standards Cyber Security Framework (NIST CSF), Digital Operations Resilience Act (DORA), New Tork State Department of Financial Services (NYDFS), Sarbanes-Oxyley (SOX), and the Financia Conduct Authority(FCA). Cyber Engineering Oversight Lead engineering teams responsible for core security platforms, including endpoint protection, cloud security, network defense, vulnerability management, and DevSecOps integrations. Build and mature a comprehensive vulnerability management program, including continuous scanning, risk-based prioritization, remediation tracking, and Board-level reporting. Drive innovation by embedding security into cloud, hybrid, and modern application architectures ("Secure by Design" principles). Ensure the adoption of automation, orchestration, and advanced analytics to improve detection, response, and resiliency. Identity & Access Management Own enterprise-wide IAM strategy, including workforce and customer identity, privileged access management (PAM), identity governance and administration (IGA), and multi-factor authentication (MFA). Lead initiatives to modernize and integrate IAM platforms to support cloud adoption, Zero Trust, and frictionless user experiences. Partner with business and technology leaders to enable secure digital transformation through robust identity services. Data Loss Prevention (DLP) Advance a comprehensive Data Loss Prevention program to safeguard sensitive information across endpoints, cloud, email, and collaboration platforms. Establish enterprise-wide policies and controls to prevent unauthorized data exfiltration, insider threats, and regulatory breaches. Implement monitoring, classification, and enforcement mechanisms that balance data protection with business enablement. Partner with business, compliance, and data governance teams to align DLP strategy with General Data Protection Regulation, Financial Conduct Authority, Prudential Regulation Authority, Sarbanes-Oxley, and other global data protection requirements. Provide executive and Board-level reporting on data protection risks, incidents, and mitigation efforts. Governance, Risk & Compliance Ensure IAM, DLP, and security engineering practices meet regulatory, audit, and policy requirements. Define and maintain standards for identity lifecycle, access controls, data handling, and information protection. Oversee risk assessments and remediation programs tied to IAM, DLP, and security engineering platforms. Senior Management Function (FCA Responsibilities) As an FCA-designated Senior Management Function (SMF) role, the position carries individual accountability under the Senior Managers & Certification Regime (SM&CR). Specific responsibilities include: Personal accountability for ensuring cyber, IAM, and DLP controls are effective, proportionate, and aligned with FCA expectations for operational resilience and financial sector stability. Maintaining robust governance, oversight, and risk management frameworks for engineering, identity, and data protection, ensuring risks are identified, escalated, and remediated in line with FCA and PRA requirements. Demonstrating reasonable steps have been taken to oversee outsourced arrangements, third-party providers, and cloud services related to IAM, DLP, and cyber platforms. Ensuring Board and regulators receive timely, accurate, and complete information on cyber, identity, and data protection risks, vulnerabilities, and remediation activities. Acting as the point of accountability for operational resilience in cyber engineering, IAM, and DLP, supporting FCA requirements around impact tolerance, scenario testing, and response planning. Requirements: Progressive experience in cybersecurity, with extensive experience in leadership roles across IAM, cyber engineering, and/or data protection. Proven track record of leading global security programs at scale in complex, regulated environments (financial services strongly preferred). Expertise in IAM technologies (SailPoint, Okta, Azure AD, CyberArk, Ping Identity), DLP platforms (Symantec, Microsoft Purview, Forcepoint, Digital Guardian), and security engineering tools (EDR, CSPM, SIEM, SOAR, vulnerability management). Strong knowledge of Zero Trust, data protection regulations (GDPR, FCA, PRA), cloud-native security, and DevSecOps practices. Exceptional leadership, communication, and stakeholder engagement skills, with the ability to influence at Board and executive levels. Relevant certifications (CISSP, CISM, CCSP, CIPP/E, SABSA, or equivalent) preferred. We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email your recruiter.
05/12/2025
Full time
We are seeking a highly experienced and strategic senior leader to oversee our Cyber Engineering, Identity & Access Management (IAM), and Data Loss Prevention (DLP) functions. This role will be responsible for driving the design, delivery, and governance of enterprise-wide security engineering solutions, while ensuring secure, scalable, and resilient identity and data protection services. The ideal candidate will combine deep technical expertise with strong leadership skills to shape the future of cybersecurity, identity, and data protection within the organization. This position is designated as a Senior Management Function (SMF) under the Financial Conduct Authority regime, carrying personal accountability for compliance, operational resilience, and security effectiveness. The Role: Strategic Leadership Define and execute the global strategy for Cyber Engineering, IAM, and DLP in alignment with the enterprise security and technology roadmap. Serve as a trusted advisor to the CISO, CIO, and executive leadership on emerging threats, secure architecture, identity, and data protection. Establish metrics and reporting to demonstrate effectiveness, risk reduction, and compliance with regulatory requirements (e.g., National Institute of Standards Cyber Security Framework (NIST CSF), Digital Operations Resilience Act (DORA), New Tork State Department of Financial Services (NYDFS), Sarbanes-Oxyley (SOX), and the Financia Conduct Authority(FCA). Cyber Engineering Oversight Lead engineering teams responsible for core security platforms, including endpoint protection, cloud security, network defense, vulnerability management, and DevSecOps integrations. Build and mature a comprehensive vulnerability management program, including continuous scanning, risk-based prioritization, remediation tracking, and Board-level reporting. Drive innovation by embedding security into cloud, hybrid, and modern application architectures ("Secure by Design" principles). Ensure the adoption of automation, orchestration, and advanced analytics to improve detection, response, and resiliency. Identity & Access Management Own enterprise-wide IAM strategy, including workforce and customer identity, privileged access management (PAM), identity governance and administration (IGA), and multi-factor authentication (MFA). Lead initiatives to modernize and integrate IAM platforms to support cloud adoption, Zero Trust, and frictionless user experiences. Partner with business and technology leaders to enable secure digital transformation through robust identity services. Data Loss Prevention (DLP) Advance a comprehensive Data Loss Prevention program to safeguard sensitive information across endpoints, cloud, email, and collaboration platforms. Establish enterprise-wide policies and controls to prevent unauthorized data exfiltration, insider threats, and regulatory breaches. Implement monitoring, classification, and enforcement mechanisms that balance data protection with business enablement. Partner with business, compliance, and data governance teams to align DLP strategy with General Data Protection Regulation, Financial Conduct Authority, Prudential Regulation Authority, Sarbanes-Oxley, and other global data protection requirements. Provide executive and Board-level reporting on data protection risks, incidents, and mitigation efforts. Governance, Risk & Compliance Ensure IAM, DLP, and security engineering practices meet regulatory, audit, and policy requirements. Define and maintain standards for identity lifecycle, access controls, data handling, and information protection. Oversee risk assessments and remediation programs tied to IAM, DLP, and security engineering platforms. Senior Management Function (FCA Responsibilities) As an FCA-designated Senior Management Function (SMF) role, the position carries individual accountability under the Senior Managers & Certification Regime (SM&CR). Specific responsibilities include: Personal accountability for ensuring cyber, IAM, and DLP controls are effective, proportionate, and aligned with FCA expectations for operational resilience and financial sector stability. Maintaining robust governance, oversight, and risk management frameworks for engineering, identity, and data protection, ensuring risks are identified, escalated, and remediated in line with FCA and PRA requirements. Demonstrating reasonable steps have been taken to oversee outsourced arrangements, third-party providers, and cloud services related to IAM, DLP, and cyber platforms. Ensuring Board and regulators receive timely, accurate, and complete information on cyber, identity, and data protection risks, vulnerabilities, and remediation activities. Acting as the point of accountability for operational resilience in cyber engineering, IAM, and DLP, supporting FCA requirements around impact tolerance, scenario testing, and response planning. Requirements: Progressive experience in cybersecurity, with extensive experience in leadership roles across IAM, cyber engineering, and/or data protection. Proven track record of leading global security programs at scale in complex, regulated environments (financial services strongly preferred). Expertise in IAM technologies (SailPoint, Okta, Azure AD, CyberArk, Ping Identity), DLP platforms (Symantec, Microsoft Purview, Forcepoint, Digital Guardian), and security engineering tools (EDR, CSPM, SIEM, SOAR, vulnerability management). Strong knowledge of Zero Trust, data protection regulations (GDPR, FCA, PRA), cloud-native security, and DevSecOps practices. Exceptional leadership, communication, and stakeholder engagement skills, with the ability to influence at Board and executive levels. Relevant certifications (CISSP, CISM, CCSP, CIPP/E, SABSA, or equivalent) preferred. We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email your recruiter.
We are looking for a Senior Data Analyst to join our Credit Risk Portfolio Management team - a key function responsible for understanding and forecasting the financial health of the customer base. The role requires the use of advanced analytics to provide deep insights into credit risk and performance to inform our risk management strategy. This role is ideal for a proven senior analyst with strong technical and mathematical skills combined with the commercial acumen needed to translate insights into action. Here's a taste of what you'll be doing Partnering with Finance to develop and maintain debt forecasts to track performance vs. plan, forecast risk and deep dive into the drivers of variations to plan Developing scenario models to enable data-based decisioning within operational and strategic planning cycles Staying up to date with emerging analytical techniques and technologies, partnering with Data Science to deliver advanced segmentation and behavioural analysis Delivering and consulting on the advanced analytics required to support project delivery across the wider Credit Management function e.g. simulation models, data pipeline mock ups, statistically robust testing Translating analytical outputs into clear recommendations for business stakeholders, influencing decisions across debt prevention and collections strategy Liaising with Data Engineers to drive enhancements to data quality, availability and usability. Are we the perfect match? Proven experience in a data analytics or credit risk role, ideally within utilities, financial services or other regulated industry Strong coding skills in SQL, Python and PySpark for data extraction, transformation, modeling and forecasting Solid understanding of forecasting techniques, scenario modelling, and regression-based analytics Strong commercial acumen, with the ability to translate complex analytical findings into clear narratives with direct links to business value Excellent stakeholder engagement and communication skills, with confidence working across operational, strategic and technical teams A degree (or equivalent experience) in a quantitative discipline such as statistics, mathematics, economics or data science It would be great if you had Experience working with Databricks Understanding of macroeconomic and market drivers affecting customer affordability and credit risk Prior experience working across both residential and commercial consumer bases Experience working with credit bureau data A general understanding of accounting principles Here's what else you need to know Role may close earlier due to high applications. Competitive salary Location - Nottingham E.ON Next office, Trinity House,?2 Burton St, Nottingham NG1 4BX - with travel to our other sites when required. Excellent parental leave allowance. Award-Winning Workplace - We're proud to be named a Sunday Times Best Place to Work 2025 and the Best Place to Work for 16-34-year-olds Outstanding Benefits - Enjoy 26 days of annual leave plus bank holidays, a generous pension, life cover, bonus opportunities and access to 20 flexible benefits with tax/NI savings Flexible & Family-Friendly - Our industry-leading hybrid and family-friendly policies earned us double recognition at the Personnel Today Awards 2024 . We're open to discussing how flexibility can work for you Inclusive & Diverse - We're the only energy company in the Inclusive Top 50 UK Employers . We're also proud winners of Best Employer for Women and Human Company of the Year -recognising our inclusive, people-first culture Support at Every Stage of Life - We're Fertility Friendly and Menopause Friendly accredited, with inclusive support for everyone Accessible & Supportive - Do you consider yourself as having a disability? As a Disability Confident Employer, we guarantee interviews for disabled applicants who meet the minimum criteria for the role and will make any adjustments needed during the process Invested in Your Growth - From inclusive talent networks to top-tier development programmes, we'll support your growth every step of the way For all successful candidates.? Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider
05/12/2025
Full time
We are looking for a Senior Data Analyst to join our Credit Risk Portfolio Management team - a key function responsible for understanding and forecasting the financial health of the customer base. The role requires the use of advanced analytics to provide deep insights into credit risk and performance to inform our risk management strategy. This role is ideal for a proven senior analyst with strong technical and mathematical skills combined with the commercial acumen needed to translate insights into action. Here's a taste of what you'll be doing Partnering with Finance to develop and maintain debt forecasts to track performance vs. plan, forecast risk and deep dive into the drivers of variations to plan Developing scenario models to enable data-based decisioning within operational and strategic planning cycles Staying up to date with emerging analytical techniques and technologies, partnering with Data Science to deliver advanced segmentation and behavioural analysis Delivering and consulting on the advanced analytics required to support project delivery across the wider Credit Management function e.g. simulation models, data pipeline mock ups, statistically robust testing Translating analytical outputs into clear recommendations for business stakeholders, influencing decisions across debt prevention and collections strategy Liaising with Data Engineers to drive enhancements to data quality, availability and usability. Are we the perfect match? Proven experience in a data analytics or credit risk role, ideally within utilities, financial services or other regulated industry Strong coding skills in SQL, Python and PySpark for data extraction, transformation, modeling and forecasting Solid understanding of forecasting techniques, scenario modelling, and regression-based analytics Strong commercial acumen, with the ability to translate complex analytical findings into clear narratives with direct links to business value Excellent stakeholder engagement and communication skills, with confidence working across operational, strategic and technical teams A degree (or equivalent experience) in a quantitative discipline such as statistics, mathematics, economics or data science It would be great if you had Experience working with Databricks Understanding of macroeconomic and market drivers affecting customer affordability and credit risk Prior experience working across both residential and commercial consumer bases Experience working with credit bureau data A general understanding of accounting principles Here's what else you need to know Role may close earlier due to high applications. Competitive salary Location - Nottingham E.ON Next office, Trinity House,?2 Burton St, Nottingham NG1 4BX - with travel to our other sites when required. Excellent parental leave allowance. Award-Winning Workplace - We're proud to be named a Sunday Times Best Place to Work 2025 and the Best Place to Work for 16-34-year-olds Outstanding Benefits - Enjoy 26 days of annual leave plus bank holidays, a generous pension, life cover, bonus opportunities and access to 20 flexible benefits with tax/NI savings Flexible & Family-Friendly - Our industry-leading hybrid and family-friendly policies earned us double recognition at the Personnel Today Awards 2024 . We're open to discussing how flexibility can work for you Inclusive & Diverse - We're the only energy company in the Inclusive Top 50 UK Employers . We're also proud winners of Best Employer for Women and Human Company of the Year -recognising our inclusive, people-first culture Support at Every Stage of Life - We're Fertility Friendly and Menopause Friendly accredited, with inclusive support for everyone Accessible & Supportive - Do you consider yourself as having a disability? As a Disability Confident Employer, we guarantee interviews for disabled applicants who meet the minimum criteria for the role and will make any adjustments needed during the process Invested in Your Growth - From inclusive talent networks to top-tier development programmes, we'll support your growth every step of the way For all successful candidates.? Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider
The Role The Data Practice is the team made up of experts dedicated to Data centric offers (Data platform, Data Analytics, IoT, Big Data, Data compliance) who support our customers in their IT and Data transformations. We help customers choose the right tools and services, build highly scalable secure environments, and help them manage the maintenance of those environments. We come up with creative solutions to difficult problems and every engineer gets to have a large direct impact on each of those customers. Key Responsibilities Supporting Informix Database platforms. This will include, Troubleshooting, Monitoring, Optimization/tuning of system performance, Security, Reporting On-Call rota for 24/7 fourth-line support Automation of all support activities including backups, patching, and script deployments Skills and Attributes Informix database (11.70 and newer) Unix and Linux systems administration Programming Languages such as:Python, Perl, C, Java Desirable (but not essential) Exposure to storage area networks, particularly EMC, IBM, Sun and HP Public Cloud Infrastructure deployments (Azure, AWS) A working knowledge of Openbet Benefits At Claranet, we go the extra mile with our people-because we believe in building a workplace where everyone feels valued and supported. Our flexible benefits package includes: Pension Scheme: Employer-matched contributions to help you plan for the future. Comprehensive Healthcare Coverage: Access to private medical care for your peace of mind and wellbeing. Discounted Gym Memberships: Prioritise your fitness with exclusive rates at leading gyms. Personalised Wellbeing Support: App-based resources and services available 24/7 Enhanced Annual Leave: 25 days of holiday, increasing to 27 days with service, plus bank holidays and a day off for your birthday. Continuous Learning & Development:Ongoing opportunities to grow your skills and advance your career. What makes us unique is Team Claranet , our internal community that supports causes close to our employees' hearts. We offer paid charity leave, support local charities across our offices, and host annual fundraising events, all backed by a dedicated committee. We're proud founding members of TC4RE (Technology Community for Racial Equality) working collectively to build a more diverse and inclusive tech industry. About Claranet Founded at the beginning of the dot com bubble in 1996, our CEO Charles Nasser had a light bulb moment to develop a truly customer-focused IT business. Since then, Claranet has grown from an Internet Service Provider (ISP) in the UK to being one of the leading business modernisation experts, who deliver solutions across 11+ countries. Equal Opportunities Statement Diversity, equity and inclusion are at the heart of what we value as an organisation. Claranet is an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, age, disability or any other status protected by law. Our recruitment team are happy to support any reasonable adjustments that are needed within the recruitment process. Ready to take the next step in your career with Claranet? Click 'apply' - we can't wait to meet you!
05/12/2025
Full time
The Role The Data Practice is the team made up of experts dedicated to Data centric offers (Data platform, Data Analytics, IoT, Big Data, Data compliance) who support our customers in their IT and Data transformations. We help customers choose the right tools and services, build highly scalable secure environments, and help them manage the maintenance of those environments. We come up with creative solutions to difficult problems and every engineer gets to have a large direct impact on each of those customers. Key Responsibilities Supporting Informix Database platforms. This will include, Troubleshooting, Monitoring, Optimization/tuning of system performance, Security, Reporting On-Call rota for 24/7 fourth-line support Automation of all support activities including backups, patching, and script deployments Skills and Attributes Informix database (11.70 and newer) Unix and Linux systems administration Programming Languages such as:Python, Perl, C, Java Desirable (but not essential) Exposure to storage area networks, particularly EMC, IBM, Sun and HP Public Cloud Infrastructure deployments (Azure, AWS) A working knowledge of Openbet Benefits At Claranet, we go the extra mile with our people-because we believe in building a workplace where everyone feels valued and supported. Our flexible benefits package includes: Pension Scheme: Employer-matched contributions to help you plan for the future. Comprehensive Healthcare Coverage: Access to private medical care for your peace of mind and wellbeing. Discounted Gym Memberships: Prioritise your fitness with exclusive rates at leading gyms. Personalised Wellbeing Support: App-based resources and services available 24/7 Enhanced Annual Leave: 25 days of holiday, increasing to 27 days with service, plus bank holidays and a day off for your birthday. Continuous Learning & Development:Ongoing opportunities to grow your skills and advance your career. What makes us unique is Team Claranet , our internal community that supports causes close to our employees' hearts. We offer paid charity leave, support local charities across our offices, and host annual fundraising events, all backed by a dedicated committee. We're proud founding members of TC4RE (Technology Community for Racial Equality) working collectively to build a more diverse and inclusive tech industry. About Claranet Founded at the beginning of the dot com bubble in 1996, our CEO Charles Nasser had a light bulb moment to develop a truly customer-focused IT business. Since then, Claranet has grown from an Internet Service Provider (ISP) in the UK to being one of the leading business modernisation experts, who deliver solutions across 11+ countries. Equal Opportunities Statement Diversity, equity and inclusion are at the heart of what we value as an organisation. Claranet is an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, age, disability or any other status protected by law. Our recruitment team are happy to support any reasonable adjustments that are needed within the recruitment process. Ready to take the next step in your career with Claranet? Click 'apply' - we can't wait to meet you!
Following the acquisition of Brookson by People2.0, the responsibilities of the Data and Analytics team have significantly expanded. We are now seeking a skilled Data Engineer to join our dynamic team. As a Data Engineer within the Data and Analytics team, you will play a pivotal role in designing, maintaining, and optimising the data architecture for People2.0 Group. This architecture ensures the seamless flow of data from source systems to the Data Warehouse, providing a robust foundation of aggregated analytical base tables and operational sources. Our data architecture is critical in enabling People2.0 Group to become a data-driven organisation. Your responsibilities will include maintaining existing data pipelines, developing new branches within the architecture, and collaborating closely with stakeholders across the business. You will engage with stakeholders from various regions, including EMEA, US, and APAC, ensuring that the architecture aligns with regional and global requirements. Reporting directly to the Senior Data Engineer within the Data and Analytics team, you will work alongside internal and external stakeholders, depending on project requirements. Your ability to communicate effectively and adapt to different regions and business needs will be key to your success. This role offers an exciting opportunity to be part of a team that directly contributes to the data-driven evolution of People2.0 Group. Our Warrington office (WA1) is easily accessible by car and a 10-minute walk from the nearest train station. We offer hybrid working, with a minimum requirement of 2 days in the office and the flexibility to work from home the rest of the week. What will you be doing as Data Engineer: ETL Maintenance: Collaborating with the Senior Data Engineer to ensure that the ETL process between source systems and the Data Warehouse remains fully operational, with minimal downtime and blockages. Implementing new systems: Working with key stakeholders to integrate new systems and acquisitions into the People2.0 Data Architecture. This includes mapping fields to existing systems, evaluating master data management (MDM) opportunities, and building core data sources for end-user consumption. Building Data Marts: Working with analytical operations and business analyst to develop key data sources for business end users. This includes analytical base tables for MI, operational metrics for data integrity, Develop Native Databases: Working with the business and/or the Analytics team to build bespoke and native applications that require database structures. This includes designing, optimising and promoting it through the Development process. Improve Data Literacy: Work with the Senior Data Engineer to improve data literacy on end point architecture. Improving engagement, business buy-in and understanding of the data, thus promoting a self-serve analytical culture. What are the qualities that can help you thrive as a Data Engineer? Essential Experience and Qualifications: Strong SQL skills - Tables, Stored Procedures, performance tuning etc. Experience with Azure ETL tools - Azure data Factory / Synapse Strong experience in Data movement methodologies and standards, ELT & ETL. A self-motivated, enthusiastic problem solver, with the ability to work under pressure and prioritise workload in order to meet deadlines. Educated to degree level BSc in - for example - Computer Science, Mathematics, Engineering or other STEM A strong team player with empathy, humility and dedication to joint success and shared development. Desirable Experience and Qualifications: Experience with Databricks or Delta Lake architecture. Experience building architecture and Data Warehousing within the Microsoft Stack Experience in development Source control (e.g. Bit Bucket, Github) Experience in Low Code Analytical Tools (e.g. Alteryx) Experience in Power Platform Stack (Power BI, Power Automate) In Return for joining us as a Senior Data Engineer: Salary of £34,000 - £38,000, depending on experience 23 days annual leave, plus bank holidays Your birthday off 2 Press Pause Days (An opportunity to step back, breathe, and focus on your wellness - whatever that may look like) Hybrid working 5% company pension contribution after 3 months Access to free Financial Advice including Mortgages, and Savings Cyle2Work scheme Perkbox employee discounts Next Steps If you are interested in being considered for this opportunity, please apply with your CV highlighting your relevant skills in relation to the above criteria. Regardless of the outcome of your application, all candidates will be contacted, and we aim to do this within 3 working days.
05/12/2025
Full time
Following the acquisition of Brookson by People2.0, the responsibilities of the Data and Analytics team have significantly expanded. We are now seeking a skilled Data Engineer to join our dynamic team. As a Data Engineer within the Data and Analytics team, you will play a pivotal role in designing, maintaining, and optimising the data architecture for People2.0 Group. This architecture ensures the seamless flow of data from source systems to the Data Warehouse, providing a robust foundation of aggregated analytical base tables and operational sources. Our data architecture is critical in enabling People2.0 Group to become a data-driven organisation. Your responsibilities will include maintaining existing data pipelines, developing new branches within the architecture, and collaborating closely with stakeholders across the business. You will engage with stakeholders from various regions, including EMEA, US, and APAC, ensuring that the architecture aligns with regional and global requirements. Reporting directly to the Senior Data Engineer within the Data and Analytics team, you will work alongside internal and external stakeholders, depending on project requirements. Your ability to communicate effectively and adapt to different regions and business needs will be key to your success. This role offers an exciting opportunity to be part of a team that directly contributes to the data-driven evolution of People2.0 Group. Our Warrington office (WA1) is easily accessible by car and a 10-minute walk from the nearest train station. We offer hybrid working, with a minimum requirement of 2 days in the office and the flexibility to work from home the rest of the week. What will you be doing as Data Engineer: ETL Maintenance: Collaborating with the Senior Data Engineer to ensure that the ETL process between source systems and the Data Warehouse remains fully operational, with minimal downtime and blockages. Implementing new systems: Working with key stakeholders to integrate new systems and acquisitions into the People2.0 Data Architecture. This includes mapping fields to existing systems, evaluating master data management (MDM) opportunities, and building core data sources for end-user consumption. Building Data Marts: Working with analytical operations and business analyst to develop key data sources for business end users. This includes analytical base tables for MI, operational metrics for data integrity, Develop Native Databases: Working with the business and/or the Analytics team to build bespoke and native applications that require database structures. This includes designing, optimising and promoting it through the Development process. Improve Data Literacy: Work with the Senior Data Engineer to improve data literacy on end point architecture. Improving engagement, business buy-in and understanding of the data, thus promoting a self-serve analytical culture. What are the qualities that can help you thrive as a Data Engineer? Essential Experience and Qualifications: Strong SQL skills - Tables, Stored Procedures, performance tuning etc. Experience with Azure ETL tools - Azure data Factory / Synapse Strong experience in Data movement methodologies and standards, ELT & ETL. A self-motivated, enthusiastic problem solver, with the ability to work under pressure and prioritise workload in order to meet deadlines. Educated to degree level BSc in - for example - Computer Science, Mathematics, Engineering or other STEM A strong team player with empathy, humility and dedication to joint success and shared development. Desirable Experience and Qualifications: Experience with Databricks or Delta Lake architecture. Experience building architecture and Data Warehousing within the Microsoft Stack Experience in development Source control (e.g. Bit Bucket, Github) Experience in Low Code Analytical Tools (e.g. Alteryx) Experience in Power Platform Stack (Power BI, Power Automate) In Return for joining us as a Senior Data Engineer: Salary of £34,000 - £38,000, depending on experience 23 days annual leave, plus bank holidays Your birthday off 2 Press Pause Days (An opportunity to step back, breathe, and focus on your wellness - whatever that may look like) Hybrid working 5% company pension contribution after 3 months Access to free Financial Advice including Mortgages, and Savings Cyle2Work scheme Perkbox employee discounts Next Steps If you are interested in being considered for this opportunity, please apply with your CV highlighting your relevant skills in relation to the above criteria. Regardless of the outcome of your application, all candidates will be contacted, and we aim to do this within 3 working days.
Senior Python Backend Developer Central London - one day a week in the office £75-85k + benefits We're seeking a topflight Senior Python Backend Developer with a strong software engineering background including 7+ years majoring in writing Backend applications using Python and Django (Rest Framework). This is a seriously weighty, complex, technically challenging role; the successful Python Backend Developer will be 'red hot' on the core backend skill requirements. Demonstrably the 'go to' person in your role. DevOps expertise is strongly advantageous. The backend Python Developer will be joining a team of 45 at a world-class healthcare scaleup. With each integration of a new hospital group there is an acceleration of the rapid scaling of patient user numbers - you will help to solve these challenging scaling problems. Responsibilities: Work on new product features contributing to architecture and implementation Refactor existing code and services to support scalability and growth of complexity Proactively respond to analytics to ensure products are robust and meet users' needs Take technical ownership of areas of product Required: 7+ years of experience writing backend applications using Python and Django (Rest Framework) or related frameworks, e.g. Flask, FastAPI Good understanding of ORM (either Django or SQLAlchemy) Good understanding of Python Unit Testing frameworks and TDD practices Experience working with Cloud Infrastructure (Ideally AWS) Strong background in DevOps Good understanding of Git, and CI/CD Nice-to-haves: Deeper understanding of SQL Knowledge of front-end technologies such as Vue or React Experience with handling sensitive data (e.g. PII) Experience working in a startup environment Senior Python Developer Senior Backend Python Developer Senior Software Engineer
05/12/2025
Full time
Senior Python Backend Developer Central London - one day a week in the office £75-85k + benefits We're seeking a topflight Senior Python Backend Developer with a strong software engineering background including 7+ years majoring in writing Backend applications using Python and Django (Rest Framework). This is a seriously weighty, complex, technically challenging role; the successful Python Backend Developer will be 'red hot' on the core backend skill requirements. Demonstrably the 'go to' person in your role. DevOps expertise is strongly advantageous. The backend Python Developer will be joining a team of 45 at a world-class healthcare scaleup. With each integration of a new hospital group there is an acceleration of the rapid scaling of patient user numbers - you will help to solve these challenging scaling problems. Responsibilities: Work on new product features contributing to architecture and implementation Refactor existing code and services to support scalability and growth of complexity Proactively respond to analytics to ensure products are robust and meet users' needs Take technical ownership of areas of product Required: 7+ years of experience writing backend applications using Python and Django (Rest Framework) or related frameworks, e.g. Flask, FastAPI Good understanding of ORM (either Django or SQLAlchemy) Good understanding of Python Unit Testing frameworks and TDD practices Experience working with Cloud Infrastructure (Ideally AWS) Strong background in DevOps Good understanding of Git, and CI/CD Nice-to-haves: Deeper understanding of SQL Knowledge of front-end technologies such as Vue or React Experience with handling sensitive data (e.g. PII) Experience working in a startup environment Senior Python Developer Senior Backend Python Developer Senior Software Engineer
