Support Engineer Full time Salary £43,918.00 - £51,238.00 (dependent on experience) Southampton, Hybrid Working Ordnance Survey (OS) is the national mapping agency for Great Britain, and a world-leading geospatial data and technology organisation. As a reliable partner to government, business and citizens across Britain and the world, OS helps its customers in virtually all sectors improve quality of life. OS expertise and data supports efficient public services and infrastructure, new technologies in transport and communications, national security and emergency services and exploring the great outdoors. By being at the forefront of geospatial capability for more than 230 years, we've built a reputation as the world's most inspiring and trusted geospatial partner. About the role You'll join one of our Technology Support Teams, which supports and maintains a range of internal ETL services that produce data for our customer delivery platforms. As a Support Engineer, you will help strengthen the resilience, reliability and quality of OS's ETL services by: Maintaining, managing and supporting software and infrastructure that underpin key business activities Designing and implementing improvements to service performance, including automating deployments, right-sizing systems, and extending monitoring and alerting capabilities Safeguarding critical services by continually assessing and improving observability, resilience and security Investigating and resolving root cause issues, identifying why failures occur, and working with subject matter experts when necessary to fully resolve problems Applying DevSecOps and SRE principles to improve both services and team capability Proactively delivering service improvements, ensuring they align with development cycles and Agile workflows You'll work closely with Engineers and wider stakeholders every day, collaborating within an Agile environment. To thrive in this role, you'll bring: Strong software development and operational knowledge Experience supporting scalable cloud-based services, ideally in Azure Effective communication and teamwork skills, enabling smooth collaboration across multiple teams What we're looking for You will need to demonstrate your track record against the following essential criteria: Experience in coding and engineering practices, for example, creating infrastructure-as-code, software engineering, DevOps methodologies or test automation Genuine passion for continually improving the reliability and stability of operational services Supporting and maintaining complex, cloud-based services working within an Agile framework Solid understanding of Site Reliability Engineering (SRE) and software engineering best practices Cloud technologies and best practice - ideally in Azure Infrastructure-as-Code - ideally using Bicep A track record of continually identifying and implementing service improvements or observability Experience of coaching and mentoring other team members and providing consultancy to other teams Additionally, you will provide expert technical consultancy to enable the business to successfully use IT systems, supporting Project Teams by advising on the performance, configuration and functionality of existing systems. You will ensure that new or updated systems can be effectively supported from day one. You will also play a key role in developing the technical capability of the team - mentoring, teaching and strengthening shared knowledge, skills and engineering practice. Here is a snapshot of the technologies that we use Azure Cloud (AppServices, Function Apps, DataFactory, Batch, EntraID, AzureML, etc.) Azure DevOps (Pipelines, Bicep templates, CLI, PowerShell, Artefacts) Python/C# Azure Databricks Git, YAML PowerBI ESRI ArcGIS, FME, QGIS, etc. Key details Closing date: Thursday 2nd July at 23:59 Interview Information: Candidates are required to complete a SOVA personality assessment and a practical exercise in advance of the interview. These will form part of the interview discussion.
26/06/2026
Full time
Support Engineer Full time Salary £43,918.00 - £51,238.00 (dependent on experience) Southampton, Hybrid Working Ordnance Survey (OS) is the national mapping agency for Great Britain, and a world-leading geospatial data and technology organisation. As a reliable partner to government, business and citizens across Britain and the world, OS helps its customers in virtually all sectors improve quality of life. OS expertise and data supports efficient public services and infrastructure, new technologies in transport and communications, national security and emergency services and exploring the great outdoors. By being at the forefront of geospatial capability for more than 230 years, we've built a reputation as the world's most inspiring and trusted geospatial partner. About the role You'll join one of our Technology Support Teams, which supports and maintains a range of internal ETL services that produce data for our customer delivery platforms. As a Support Engineer, you will help strengthen the resilience, reliability and quality of OS's ETL services by: Maintaining, managing and supporting software and infrastructure that underpin key business activities Designing and implementing improvements to service performance, including automating deployments, right-sizing systems, and extending monitoring and alerting capabilities Safeguarding critical services by continually assessing and improving observability, resilience and security Investigating and resolving root cause issues, identifying why failures occur, and working with subject matter experts when necessary to fully resolve problems Applying DevSecOps and SRE principles to improve both services and team capability Proactively delivering service improvements, ensuring they align with development cycles and Agile workflows You'll work closely with Engineers and wider stakeholders every day, collaborating within an Agile environment. To thrive in this role, you'll bring: Strong software development and operational knowledge Experience supporting scalable cloud-based services, ideally in Azure Effective communication and teamwork skills, enabling smooth collaboration across multiple teams What we're looking for You will need to demonstrate your track record against the following essential criteria: Experience in coding and engineering practices, for example, creating infrastructure-as-code, software engineering, DevOps methodologies or test automation Genuine passion for continually improving the reliability and stability of operational services Supporting and maintaining complex, cloud-based services working within an Agile framework Solid understanding of Site Reliability Engineering (SRE) and software engineering best practices Cloud technologies and best practice - ideally in Azure Infrastructure-as-Code - ideally using Bicep A track record of continually identifying and implementing service improvements or observability Experience of coaching and mentoring other team members and providing consultancy to other teams Additionally, you will provide expert technical consultancy to enable the business to successfully use IT systems, supporting Project Teams by advising on the performance, configuration and functionality of existing systems. You will ensure that new or updated systems can be effectively supported from day one. You will also play a key role in developing the technical capability of the team - mentoring, teaching and strengthening shared knowledge, skills and engineering practice. Here is a snapshot of the technologies that we use Azure Cloud (AppServices, Function Apps, DataFactory, Batch, EntraID, AzureML, etc.) Azure DevOps (Pipelines, Bicep templates, CLI, PowerShell, Artefacts) Python/C# Azure Databricks Git, YAML PowerBI ESRI ArcGIS, FME, QGIS, etc. Key details Closing date: Thursday 2nd July at 23:59 Interview Information: Candidates are required to complete a SOVA personality assessment and a practical exercise in advance of the interview. These will form part of the interview discussion.
"It feels good to have a career with real purpose." Location: Alderley Park (Wilmslow) or Glasgow or Edinburgh Working Style: Hybrid 50% home/office based We have a fantastic opportunity for a Data Engineer to join Royal London's Analytics Engineering Team within our Group Data & AI Office function. As a Data Engineer you will define, manage, and deliver the data, tools and other technical assets to enable analytics, data science, and machine learning projects. These initiatives will create insights, answer key business questions, solve business problems, and support decision making at all levels of the organisation. Support the Senior Data Engineer in their role as technical lead for the team, helping to set and maintain technical standards. Act as an internal SME to the team for data, tooling and the technical practice around data engineering, analytics, data science and machine learning. The purpose of the Analytics Engineering team is to create business value through delivery of specific Analytics, Data Science, Machine Learning and Artificial Intelligence projects and initiatives. These initiatives will create insights, answer key business questions, solve business problems, and support decision making at all levels of the organisation. This team supports the other teams within the Analytics & Insight function, providing them with a Data and Analytics service to support their insight activities. The team will also act as a Centre-of-Excellence in Analytics and Data Science, helping to take forward the Group's capability in these areas and our ambition to become "Data Led". More about the role: Source and prepare data for use in Business Intelligence (BI), Analytics and Data Science projects and initiatives. Source, evaluate, interpret, and manage multiple disparate data sources. Understand, own, and manage the team's data - working with business, technology and external partners. Design and develop data pipelines, from both the on-premises and cloud platforms. Prototype solutions to explore business hypothesis in an agile and iterative way which supports a learn fast/fail fast methodology. Productionise data pipelines created by the team through CI/CD so that they are available for consumption for the data science and data visualisation team. Maintain knowledge of data engineering and machine learning engineering practices including keeping abreast of new developments and changes in the field. Maintain knowledge of data related technologies and practices. Help to ensure that robust software engineering practices are adhered to by the team. More about you: Experience in data engineering and application of data management design patterns, such as data lakes and data warehouses. Experience of programming languages: SQL, Python & pySpark etc. or equivalents. Experience of development practices: the use of versioning tools such as GitHub, work tracking tools such as Azure DevOps, or equivalents. Experience of cloud-based Data and Analytics technologies, including a minimum of one of: Databricks, Snowflake, Azure Data Factory / Fabric. A proven track record in working in cross-functional projects to a successful conclusion. Experience of managing stakeholders. A broad understanding of BI and analytics tools, such as PowerBI, Tableau & R. Good understanding of Microsoft SQL Server technologies, such as T-SQL and SSIS. Knowledge of the technology side of Analytics and Data Science, including principles of software engineering. If you think you would be a great fit for our team at Royal London but don't meet all the requirements of the role, please get in touch as your application will still be considered. Inclusion, diversity and belonging We're an Inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected - whatever their background
26/06/2026
Full time
"It feels good to have a career with real purpose." Location: Alderley Park (Wilmslow) or Glasgow or Edinburgh Working Style: Hybrid 50% home/office based We have a fantastic opportunity for a Data Engineer to join Royal London's Analytics Engineering Team within our Group Data & AI Office function. As a Data Engineer you will define, manage, and deliver the data, tools and other technical assets to enable analytics, data science, and machine learning projects. These initiatives will create insights, answer key business questions, solve business problems, and support decision making at all levels of the organisation. Support the Senior Data Engineer in their role as technical lead for the team, helping to set and maintain technical standards. Act as an internal SME to the team for data, tooling and the technical practice around data engineering, analytics, data science and machine learning. The purpose of the Analytics Engineering team is to create business value through delivery of specific Analytics, Data Science, Machine Learning and Artificial Intelligence projects and initiatives. These initiatives will create insights, answer key business questions, solve business problems, and support decision making at all levels of the organisation. This team supports the other teams within the Analytics & Insight function, providing them with a Data and Analytics service to support their insight activities. The team will also act as a Centre-of-Excellence in Analytics and Data Science, helping to take forward the Group's capability in these areas and our ambition to become "Data Led". More about the role: Source and prepare data for use in Business Intelligence (BI), Analytics and Data Science projects and initiatives. Source, evaluate, interpret, and manage multiple disparate data sources. Understand, own, and manage the team's data - working with business, technology and external partners. Design and develop data pipelines, from both the on-premises and cloud platforms. Prototype solutions to explore business hypothesis in an agile and iterative way which supports a learn fast/fail fast methodology. Productionise data pipelines created by the team through CI/CD so that they are available for consumption for the data science and data visualisation team. Maintain knowledge of data engineering and machine learning engineering practices including keeping abreast of new developments and changes in the field. Maintain knowledge of data related technologies and practices. Help to ensure that robust software engineering practices are adhered to by the team. More about you: Experience in data engineering and application of data management design patterns, such as data lakes and data warehouses. Experience of programming languages: SQL, Python & pySpark etc. or equivalents. Experience of development practices: the use of versioning tools such as GitHub, work tracking tools such as Azure DevOps, or equivalents. Experience of cloud-based Data and Analytics technologies, including a minimum of one of: Databricks, Snowflake, Azure Data Factory / Fabric. A proven track record in working in cross-functional projects to a successful conclusion. Experience of managing stakeholders. A broad understanding of BI and analytics tools, such as PowerBI, Tableau & R. Good understanding of Microsoft SQL Server technologies, such as T-SQL and SSIS. Knowledge of the technology side of Analytics and Data Science, including principles of software engineering. If you think you would be a great fit for our team at Royal London but don't meet all the requirements of the role, please get in touch as your application will still be considered. Inclusion, diversity and belonging We're an Inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected - whatever their background
Domain Data ModellerApplylocations: Worthing: FALMERtime type: Full timeposted on: Posted Todaytime left to apply: End Date: July 8, 2026 (13 days left to apply)job requisition id: JR8299 Closing Date 2026-07-08 Domain Data Modeller Location: Hybrid - Durrington Hours: 37 hours per week Contract: Permanent Salary: Competitive + benefits Who are we?Southern Water is on a major data transformation journey to build a modern, trusted data platform that supports operational performance, regulatory outcomes and better decision making across the business. Data modelling is a core capability within this transformation, underpinning analytics, reporting and data products across our organisation. The roleAs a Domain Data Modeller , you will be a key member of a domain aligned agile squad , responsible for designing and maintaining scalable, business aligned data models that support analytics, reporting and data products.You'll work closely with Product Owners, Data Engineers, BI Engineers, architects and business stakeholders to ensure data models accurately represent business domains and align with enterprise architecture and governance frameworks. You will also play a critical role in ensuring that metadata, lineage and catalogue information remains accurate and trusted across the data platform.This role is ideal for someone who enjoys working at the intersection of business and technology, shaping how data is structured, governed and consumed across an organisation. What you'll be doing Designing, implementing and maintaining conceptual, logical and physical data models aligned to business domains Ensuring metadata and lineage are accurately captured and maintained within the enterprise data catalogue Translating business requirements into clear, well structured data models in collaboration with Product Owners and delivery teams Contributing to solution architecture discussions , ensuring data models support scalability and long term strategy Working closely with Data Engineers to validate models against ingestion pipelines and sample data Providing high quality model documentation to support downstream development and analytics Maintaining data modelling standards and best practices across squads Applying change management principles to ensure consistency and traceability of model changes Supporting governance and metadata management using recognised data modelling tools Capturing and maintaining domain knowledge and model documentation Engaging with architects, SMEs, governance and compliance teams as needed Managing and contributing to modelling work within the squad's agile backlog Actively participating in agile ceremonies, backlog refinement and sprint planning What we're looking forWe're looking for a skilled data modeller with strong technical foundations and the ability to collaborate effectively across technical and non technical teams. You'll have: Proven experience in domain or enterprise data modelling on large scale data platforms Strong understanding of data architecture, metadata management and data governance Experience using data modelling tools such as Erwin or equivalent Experience working with cloud based data platforms (e.g. Azure Data Lake, Databricks) Familiarity with data cataloguing and lineage tools Strong SQL skills and experience with relational and dimensional modelling The ability to translate complex business concepts into clear data structures Experience working in agile delivery environments , including use of Jira and Confluence Excellent problem solving, communication and stakeholder engagement skills The ability to manage multiple modelling activities across different business domains Technical knowledge (desirable) Enterprise and business architecture principles Data governance frameworks such as DAMA Data privacy, classification and handling principles Change management practices for data models in distributed environments Understanding of how data models support BI and analytics use cases Qualifications Essential Hands on experience in data modelling projects Experience collaborating with data engineers, analysts and business stakeholders Desirable Degree in Computer Science, Information Systems, Data Science or a related discipline Relevant certifications such as Certified Data Management Professional (CDMP) or Microsoft Azure Data Engineering certifications Why join us? Play a foundational role in shaping Southern Water's enterprise data architecture Work on meaningful, business critical data products Collaborate with multidisciplinary teams across technology and the business Hybrid and flexible working Competitive salary, pension, bonus and a comprehensive benefits package Interested in the role? We reserve the right to close this advertisement early if we receive a high volume of suitable applications, so if you are interested in the position please do send your application over today to ensure consideration. We truly appreciate every application. Please note, that due to the volume of interest, we may not be able to provide personalised feedback to all applicants. Our Benefits Company and performance-related bonus Generous pension Life assurance payment equal to four times your annual salary Health benefits through a Cash Plan Two paid community volunteering days a year 28 days annual holiday Occupational health service Retail discount app We offer competitive maternity leave, and flexible return to work options Everybody Welcome We value diversity and are committed to providing an inclusive and accessible recruitment process. If you require any reasonable adjustments to facilitate your participation in the recruitment process, please do not hesitate to let us know. Need flexibility in your work? Does this opportunity excite you but you're not 100% sure if you meet all the requirements for the role? Or are you concerned that 'normal' office hours aren't possible given your personal circumstances? Whilst we can't accommodate every flexible working request, we'll try to find a practical solution. So why not engage with us and find out more about this role?
26/06/2026
Full time
Domain Data ModellerApplylocations: Worthing: FALMERtime type: Full timeposted on: Posted Todaytime left to apply: End Date: July 8, 2026 (13 days left to apply)job requisition id: JR8299 Closing Date 2026-07-08 Domain Data Modeller Location: Hybrid - Durrington Hours: 37 hours per week Contract: Permanent Salary: Competitive + benefits Who are we?Southern Water is on a major data transformation journey to build a modern, trusted data platform that supports operational performance, regulatory outcomes and better decision making across the business. Data modelling is a core capability within this transformation, underpinning analytics, reporting and data products across our organisation. The roleAs a Domain Data Modeller , you will be a key member of a domain aligned agile squad , responsible for designing and maintaining scalable, business aligned data models that support analytics, reporting and data products.You'll work closely with Product Owners, Data Engineers, BI Engineers, architects and business stakeholders to ensure data models accurately represent business domains and align with enterprise architecture and governance frameworks. You will also play a critical role in ensuring that metadata, lineage and catalogue information remains accurate and trusted across the data platform.This role is ideal for someone who enjoys working at the intersection of business and technology, shaping how data is structured, governed and consumed across an organisation. What you'll be doing Designing, implementing and maintaining conceptual, logical and physical data models aligned to business domains Ensuring metadata and lineage are accurately captured and maintained within the enterprise data catalogue Translating business requirements into clear, well structured data models in collaboration with Product Owners and delivery teams Contributing to solution architecture discussions , ensuring data models support scalability and long term strategy Working closely with Data Engineers to validate models against ingestion pipelines and sample data Providing high quality model documentation to support downstream development and analytics Maintaining data modelling standards and best practices across squads Applying change management principles to ensure consistency and traceability of model changes Supporting governance and metadata management using recognised data modelling tools Capturing and maintaining domain knowledge and model documentation Engaging with architects, SMEs, governance and compliance teams as needed Managing and contributing to modelling work within the squad's agile backlog Actively participating in agile ceremonies, backlog refinement and sprint planning What we're looking forWe're looking for a skilled data modeller with strong technical foundations and the ability to collaborate effectively across technical and non technical teams. You'll have: Proven experience in domain or enterprise data modelling on large scale data platforms Strong understanding of data architecture, metadata management and data governance Experience using data modelling tools such as Erwin or equivalent Experience working with cloud based data platforms (e.g. Azure Data Lake, Databricks) Familiarity with data cataloguing and lineage tools Strong SQL skills and experience with relational and dimensional modelling The ability to translate complex business concepts into clear data structures Experience working in agile delivery environments , including use of Jira and Confluence Excellent problem solving, communication and stakeholder engagement skills The ability to manage multiple modelling activities across different business domains Technical knowledge (desirable) Enterprise and business architecture principles Data governance frameworks such as DAMA Data privacy, classification and handling principles Change management practices for data models in distributed environments Understanding of how data models support BI and analytics use cases Qualifications Essential Hands on experience in data modelling projects Experience collaborating with data engineers, analysts and business stakeholders Desirable Degree in Computer Science, Information Systems, Data Science or a related discipline Relevant certifications such as Certified Data Management Professional (CDMP) or Microsoft Azure Data Engineering certifications Why join us? Play a foundational role in shaping Southern Water's enterprise data architecture Work on meaningful, business critical data products Collaborate with multidisciplinary teams across technology and the business Hybrid and flexible working Competitive salary, pension, bonus and a comprehensive benefits package Interested in the role? We reserve the right to close this advertisement early if we receive a high volume of suitable applications, so if you are interested in the position please do send your application over today to ensure consideration. We truly appreciate every application. Please note, that due to the volume of interest, we may not be able to provide personalised feedback to all applicants. Our Benefits Company and performance-related bonus Generous pension Life assurance payment equal to four times your annual salary Health benefits through a Cash Plan Two paid community volunteering days a year 28 days annual holiday Occupational health service Retail discount app We offer competitive maternity leave, and flexible return to work options Everybody Welcome We value diversity and are committed to providing an inclusive and accessible recruitment process. If you require any reasonable adjustments to facilitate your participation in the recruitment process, please do not hesitate to let us know. Need flexibility in your work? Does this opportunity excite you but you're not 100% sure if you meet all the requirements for the role? Or are you concerned that 'normal' office hours aren't possible given your personal circumstances? Whilst we can't accommodate every flexible working request, we'll try to find a practical solution. So why not engage with us and find out more about this role?
Overview At Tesco Mobile, we use data to connect people and shape personalised experiences. We are looking for a Senior Data Scientist to build and deploy scalable models that drive real world outcomes for our customers. Why Join Us? Work on high impact projects that influence real business outcomes Be part of a collaborative, forward thinking team Combine deep technical work with real world application Grow your expertise in a supportive and innovative environment Role Details This role can be based in Welwyn Garden City or our Slough office with occasional travel required. Team collaboration is key - you'll attend a fortnightly team meeting (typically in Slough or London) We embrace hybrid working, with a minimum of 2 days per week in the office Responsibilities Own end to end delivery of data science solutions - from problem framing, feature engineering, monitoring, evaluation and deployment Design and execute hypothesis driven analysis and statistical testing (e.g., experiment design, assumption checking, uncertainty quantification) and translate results into clear business recommendations Build and productionise propensity models to support targeting, next best action and other decisioning use cases Build and productionise time series forecasting models for demand and stock perspectives; perform back testing and continuously improve forecast accuracy Partner with stakeholders to define success metrics and deliver meaningful outcomes Build, validate and optimise robust data pipelines and model code - testing, performance, reproducibility, documentation and security considerations Contribute to team growth through knowledge sharing, mentoring and best practice Essential Experience Demonstrated ability to solve ambiguous problems and deliver end to end analytical solutions Strong grounding in applied statistics (hypothesis testing, experiment design, uncertainty analysis) Proven experience with both static and time series modelling Advanced skills in Python, SQL, and PySpark, with a focus on clean, testable, reproducible code Experience deploying models in cloud environments (Azure preferred), including CI/CD and monitoring Strong communication skills - able to simplify complex ideas for non technical audiences PhD or Masters Degree Desired Experience Experience with tools such as MLflow, PyTorch, Databricks, or graph databases A passion for continuous improvement and sharing knowledge A collaborative mindset with excellent stakeholder engagement skills Benefits Hybrid working blend - a mix of office and remote (2 days per week in the office). Flexible working patterns across full time and part time positions. Equal Opportunity Employer Tesco is an equal opportunity employer. We are committed to a fully inclusive and accessible recruitment process.
26/06/2026
Full time
Overview At Tesco Mobile, we use data to connect people and shape personalised experiences. We are looking for a Senior Data Scientist to build and deploy scalable models that drive real world outcomes for our customers. Why Join Us? Work on high impact projects that influence real business outcomes Be part of a collaborative, forward thinking team Combine deep technical work with real world application Grow your expertise in a supportive and innovative environment Role Details This role can be based in Welwyn Garden City or our Slough office with occasional travel required. Team collaboration is key - you'll attend a fortnightly team meeting (typically in Slough or London) We embrace hybrid working, with a minimum of 2 days per week in the office Responsibilities Own end to end delivery of data science solutions - from problem framing, feature engineering, monitoring, evaluation and deployment Design and execute hypothesis driven analysis and statistical testing (e.g., experiment design, assumption checking, uncertainty quantification) and translate results into clear business recommendations Build and productionise propensity models to support targeting, next best action and other decisioning use cases Build and productionise time series forecasting models for demand and stock perspectives; perform back testing and continuously improve forecast accuracy Partner with stakeholders to define success metrics and deliver meaningful outcomes Build, validate and optimise robust data pipelines and model code - testing, performance, reproducibility, documentation and security considerations Contribute to team growth through knowledge sharing, mentoring and best practice Essential Experience Demonstrated ability to solve ambiguous problems and deliver end to end analytical solutions Strong grounding in applied statistics (hypothesis testing, experiment design, uncertainty analysis) Proven experience with both static and time series modelling Advanced skills in Python, SQL, and PySpark, with a focus on clean, testable, reproducible code Experience deploying models in cloud environments (Azure preferred), including CI/CD and monitoring Strong communication skills - able to simplify complex ideas for non technical audiences PhD or Masters Degree Desired Experience Experience with tools such as MLflow, PyTorch, Databricks, or graph databases A passion for continuous improvement and sharing knowledge A collaborative mindset with excellent stakeholder engagement skills Benefits Hybrid working blend - a mix of office and remote (2 days per week in the office). Flexible working patterns across full time and part time positions. Equal Opportunity Employer Tesco is an equal opportunity employer. We are committed to a fully inclusive and accessible recruitment process.
Overview An impressive multinational firm is looking for an accomplished Data Engineer to join its team. The role is hybrid - you will work from the office 3 days per week with 2 from home. Responsibilities In this role, you will be responsible for designing, developing, and maintaining scalable data solutions that provide clean, structured, and accessible data to internal teams, stakeholders, and external partners. Working closely with developers, analysts, and business teams, you will help deliver cloud-based data platforms that support reporting, analytics, and data-driven innovation. The successful Data Engineer will design, build, and maintain a modern cloud-based data platform that supports analytics, reporting, and operational systems across the organisation. Working closely with Data Science, development, and business teams, you will develop scalable data pipelines, manage SQL Server databases across on-premises and Azure environments, and ensure data is secure, reliable, and accessible. You will play a key role in shaping the organisation's data architecture, identifying opportunities to improve data acquisition, automation, and performance, while helping to deliver a robust and scalable data ecosystem that supports future growth. Qualifications In order to be suitable for this role you must be an accomplished Data Engineer with hand on experience with Microsoft Fabric and Azure data services, including technologies such as Databricks, Data Factory, Azure SQL Managed Instances, and Data Lake solutions. You will have a proven track record of designing and optimising data warehouses and large-scale data platforms, supported by advanced SQL and reporting experience. Benefits This is an outstanding opportunity for a personable Data Engineer to join a market leading business that offers an excellent range of benefits.
26/06/2026
Full time
Overview An impressive multinational firm is looking for an accomplished Data Engineer to join its team. The role is hybrid - you will work from the office 3 days per week with 2 from home. Responsibilities In this role, you will be responsible for designing, developing, and maintaining scalable data solutions that provide clean, structured, and accessible data to internal teams, stakeholders, and external partners. Working closely with developers, analysts, and business teams, you will help deliver cloud-based data platforms that support reporting, analytics, and data-driven innovation. The successful Data Engineer will design, build, and maintain a modern cloud-based data platform that supports analytics, reporting, and operational systems across the organisation. Working closely with Data Science, development, and business teams, you will develop scalable data pipelines, manage SQL Server databases across on-premises and Azure environments, and ensure data is secure, reliable, and accessible. You will play a key role in shaping the organisation's data architecture, identifying opportunities to improve data acquisition, automation, and performance, while helping to deliver a robust and scalable data ecosystem that supports future growth. Qualifications In order to be suitable for this role you must be an accomplished Data Engineer with hand on experience with Microsoft Fabric and Azure data services, including technologies such as Databricks, Data Factory, Azure SQL Managed Instances, and Data Lake solutions. You will have a proven track record of designing and optimising data warehouses and large-scale data platforms, supported by advanced SQL and reporting experience. Benefits This is an outstanding opportunity for a personable Data Engineer to join a market leading business that offers an excellent range of benefits.
An impressive multinational firm is looking for an accomplished Azure Data Engineer to join its team. Please note the role is hybrid - you will work from the office 3 days per week with 2 from home. In this role, you will be responsible for designing, developing, and maintaining scalable data solutions that provide clean, structured, and accessible data to internal teams, stakeholders, and external partners. Working closely with developers, analysts, and business teams, you will help deliver cloud based data platforms that support reporting, analytics, and data driven innovation. In order to be suitable for this role you must be an accomplished Data Engineer with hands on experience with Microsoft Fabric and Azure data services, including technologies such as Databricks, Data Factory, Azure SQL Managed Instances, and Data Lake solutions. You will have a proven track record of designing and optimising data warehouses and large scale data platforms, supported by advanced SQL and reporting experience. The successful Data Engineer will design, build, and maintain a modern cloud based data platform that supports analytics, reporting, and operational systems across the organisation. Working closely with Data Science, development, and business teams, you will develop scalable data pipelines, manage SQL Server databases across on premises and Azure environments, and ensure data is secure, reliable, and accessible. You will play a key role in shaping the organisation's data architecture, identifying opportunities to improve data acquisition, automation, and performance, while helping to deliver a robust and scalable data ecosystem that supports future growth. This is an outstanding opportunity for a personable Data Engineer to join a market leading business that offers an excellent range of benefits.
26/06/2026
Full time
An impressive multinational firm is looking for an accomplished Azure Data Engineer to join its team. Please note the role is hybrid - you will work from the office 3 days per week with 2 from home. In this role, you will be responsible for designing, developing, and maintaining scalable data solutions that provide clean, structured, and accessible data to internal teams, stakeholders, and external partners. Working closely with developers, analysts, and business teams, you will help deliver cloud based data platforms that support reporting, analytics, and data driven innovation. In order to be suitable for this role you must be an accomplished Data Engineer with hands on experience with Microsoft Fabric and Azure data services, including technologies such as Databricks, Data Factory, Azure SQL Managed Instances, and Data Lake solutions. You will have a proven track record of designing and optimising data warehouses and large scale data platforms, supported by advanced SQL and reporting experience. The successful Data Engineer will design, build, and maintain a modern cloud based data platform that supports analytics, reporting, and operational systems across the organisation. Working closely with Data Science, development, and business teams, you will develop scalable data pipelines, manage SQL Server databases across on premises and Azure environments, and ensure data is secure, reliable, and accessible. You will play a key role in shaping the organisation's data architecture, identifying opportunities to improve data acquisition, automation, and performance, while helping to deliver a robust and scalable data ecosystem that supports future growth. This is an outstanding opportunity for a personable Data Engineer to join a market leading business that offers an excellent range of benefits.
Senior Data Engineer - Palantir Foundry As a Senior Data Engineer, you'll play a key role in building a modern, large scale data platform, designing reliable and scalable pipelines that support critical business outcomes. Working closely with data leaders and delivery teams, you'll shape engineering standards, improve data quality, and enable trusted insights. Drive measurable change by shaping and delivering large scale data products and platforms using Palantir Foundry and cloud native tooling. Engineer scalable pipelines, transform complex datasets into operational decision making assets. Partner with clients to unlock efficiency and insight across critical programmes. Build reusable patterns, improve observability and accelerate client roadmaps for modern data adoption. Location: Swansea, Wales - hybrid (on site presence two days per week). UK security clearance required. Senior Data Engineer - Healthcare In this role you'll design, build and optimise data platforms that underpin critical national services. The focus is on AWS, Databricks and Python to deliver high impact solutions that improve outcomes and drive innovation across the sector. Collaborate with Healthcare stakeholders to define requirements and translate them into data solutions. Build and maintain scalable data pipelines using AWS services and Apache Spark on Databricks. Ensure data quality, governance and security across the data ecosystem. Enable data driven decision making for national healthcare services. Location: Leeds, United Kingdom - hybrid. UK security clearance required. Senior Data Analyst / Analytics Engineer Design and deliver high quality dashboards using Power BI, Tableau, SQL, Excel and related technologies. Partner with business stakeholders to gather requirements and translate them into effective analytics solutions. Build and maintain robust data models, ensuring data quality, accuracy and adherence to governance standards. Drive reporting automation and continuous improvement of analytics frameworks. Present insights, trends and recommendations to senior leadership and cross functional teams. Champion best practices across data modelling, visualisation and reporting standards. 5+ years of experience in Data Analytics, Analytics Engineering, Business Intelligence or related disciplines. Advanced proficiency in Power BI and SQL. Extensive experience in data modelling, data transformation and dashboard development. Proven stakeholder management skills and ability to gather requirements effectively. Excellent communication and data storytelling skills. Desirable: Experience with Power Automate, Azure, Tableau or Python; Power BI and/or Azure certifications. Location: United Kingdom - hybrid.
26/06/2026
Full time
Senior Data Engineer - Palantir Foundry As a Senior Data Engineer, you'll play a key role in building a modern, large scale data platform, designing reliable and scalable pipelines that support critical business outcomes. Working closely with data leaders and delivery teams, you'll shape engineering standards, improve data quality, and enable trusted insights. Drive measurable change by shaping and delivering large scale data products and platforms using Palantir Foundry and cloud native tooling. Engineer scalable pipelines, transform complex datasets into operational decision making assets. Partner with clients to unlock efficiency and insight across critical programmes. Build reusable patterns, improve observability and accelerate client roadmaps for modern data adoption. Location: Swansea, Wales - hybrid (on site presence two days per week). UK security clearance required. Senior Data Engineer - Healthcare In this role you'll design, build and optimise data platforms that underpin critical national services. The focus is on AWS, Databricks and Python to deliver high impact solutions that improve outcomes and drive innovation across the sector. Collaborate with Healthcare stakeholders to define requirements and translate them into data solutions. Build and maintain scalable data pipelines using AWS services and Apache Spark on Databricks. Ensure data quality, governance and security across the data ecosystem. Enable data driven decision making for national healthcare services. Location: Leeds, United Kingdom - hybrid. UK security clearance required. Senior Data Analyst / Analytics Engineer Design and deliver high quality dashboards using Power BI, Tableau, SQL, Excel and related technologies. Partner with business stakeholders to gather requirements and translate them into effective analytics solutions. Build and maintain robust data models, ensuring data quality, accuracy and adherence to governance standards. Drive reporting automation and continuous improvement of analytics frameworks. Present insights, trends and recommendations to senior leadership and cross functional teams. Champion best practices across data modelling, visualisation and reporting standards. 5+ years of experience in Data Analytics, Analytics Engineering, Business Intelligence or related disciplines. Advanced proficiency in Power BI and SQL. Extensive experience in data modelling, data transformation and dashboard development. Proven stakeholder management skills and ability to gather requirements effectively. Excellent communication and data storytelling skills. Desirable: Experience with Power Automate, Azure, Tableau or Python; Power BI and/or Azure certifications. Location: United Kingdom - hybrid.
Senior Data Engineer - Palantir Foundry As a Senior Data Engineer, you'll play a key role in building a modern, large scale data platform, designing reliable and scalable pipelines that support critical business outcomes. Working closely with data leaders and delivery teams, you'll shape engineering standards, improve data quality, and enable trusted insights. Drive measurable change by shaping and delivering large scale data products and platforms using Palantir Foundry and cloud native tooling. Engineer scalable pipelines, transform complex datasets into operational decision making assets. Partner with clients to unlock efficiency and insight across critical programmes. Build reusable patterns, improve observability and accelerate client roadmaps for modern data adoption. Location: Swansea, Wales - hybrid (on site presence two days per week). UK security clearance required. Senior Data Engineer - Healthcare In this role you'll design, build and optimise data platforms that underpin critical national services. The focus is on AWS, Databricks and Python to deliver high impact solutions that improve outcomes and drive innovation across the sector. Collaborate with Healthcare stakeholders to define requirements and translate them into data solutions. Build and maintain scalable data pipelines using AWS services and Apache Spark on Databricks. Ensure data quality, governance and security across the data ecosystem. Enable data driven decision making for national healthcare services. Location: Leeds, United Kingdom - hybrid. UK security clearance required. Senior Data Analyst / Analytics Engineer Design and deliver high quality dashboards using Power BI, Tableau, SQL, Excel and related technologies. Partner with business stakeholders to gather requirements and translate them into effective analytics solutions. Build and maintain robust data models, ensuring data quality, accuracy and adherence to governance standards. Drive reporting automation and continuous improvement of analytics frameworks. Present insights, trends and recommendations to senior leadership and cross functional teams. Champion best practices across data modelling, visualisation and reporting standards. 5+ years of experience in Data Analytics, Analytics Engineering, Business Intelligence or related disciplines. Advanced proficiency in Power BI and SQL. Extensive experience in data modelling, data transformation and dashboard development. Proven stakeholder management skills and ability to gather requirements effectively. Excellent communication and data storytelling skills. Desirable: Experience with Power Automate, Azure, Tableau or Python; Power BI and/or Azure certifications. Location: United Kingdom - hybrid.
26/06/2026
Full time
Senior Data Engineer - Palantir Foundry As a Senior Data Engineer, you'll play a key role in building a modern, large scale data platform, designing reliable and scalable pipelines that support critical business outcomes. Working closely with data leaders and delivery teams, you'll shape engineering standards, improve data quality, and enable trusted insights. Drive measurable change by shaping and delivering large scale data products and platforms using Palantir Foundry and cloud native tooling. Engineer scalable pipelines, transform complex datasets into operational decision making assets. Partner with clients to unlock efficiency and insight across critical programmes. Build reusable patterns, improve observability and accelerate client roadmaps for modern data adoption. Location: Swansea, Wales - hybrid (on site presence two days per week). UK security clearance required. Senior Data Engineer - Healthcare In this role you'll design, build and optimise data platforms that underpin critical national services. The focus is on AWS, Databricks and Python to deliver high impact solutions that improve outcomes and drive innovation across the sector. Collaborate with Healthcare stakeholders to define requirements and translate them into data solutions. Build and maintain scalable data pipelines using AWS services and Apache Spark on Databricks. Ensure data quality, governance and security across the data ecosystem. Enable data driven decision making for national healthcare services. Location: Leeds, United Kingdom - hybrid. UK security clearance required. Senior Data Analyst / Analytics Engineer Design and deliver high quality dashboards using Power BI, Tableau, SQL, Excel and related technologies. Partner with business stakeholders to gather requirements and translate them into effective analytics solutions. Build and maintain robust data models, ensuring data quality, accuracy and adherence to governance standards. Drive reporting automation and continuous improvement of analytics frameworks. Present insights, trends and recommendations to senior leadership and cross functional teams. Champion best practices across data modelling, visualisation and reporting standards. 5+ years of experience in Data Analytics, Analytics Engineering, Business Intelligence or related disciplines. Advanced proficiency in Power BI and SQL. Extensive experience in data modelling, data transformation and dashboard development. Proven stakeholder management skills and ability to gather requirements effectively. Excellent communication and data storytelling skills. Desirable: Experience with Power Automate, Azure, Tableau or Python; Power BI and/or Azure certifications. Location: United Kingdom - hybrid.
Req ID: CSQ127R149 Location: London, United Kingdom - Hybrid Recruiter: Dina Hussain We're hiring for multiple roles within our FDE team. As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands on, customer facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. The impact you will have Production Solution Delivery: Lead impactful customer technical projects by delivering production grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end to end design, build and deployment of industry leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for Experience in data engineering, data platforms & analytics, or software engineering / full stack development Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end to end data architectures and applications that combine data pipelines, ML/AI models, and user facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification - an advantage About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
26/06/2026
Full time
Req ID: CSQ127R149 Location: London, United Kingdom - Hybrid Recruiter: Dina Hussain We're hiring for multiple roles within our FDE team. As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands on, customer facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. The impact you will have Production Solution Delivery: Lead impactful customer technical projects by delivering production grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end to end design, build and deployment of industry leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for Experience in data engineering, data platforms & analytics, or software engineering / full stack development Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end to end data architectures and applications that combine data pipelines, ML/AI models, and user facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification - an advantage About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Overview At Tesco Mobile, we use data to connect people and shape personalised experiences. We are looking for a Senior Data Scientist to build and deploy scalable models that drive real world outcomes for our customers. Why Join Us? Work on high impact projects that influence real business outcomes Be part of a collaborative, forward thinking team Combine deep technical work with real world application Grow your expertise in a supportive and innovative environment Role Details This role can be based in Welwyn Garden City or our Slough office with occasional travel required. Team collaboration is key - you'll attend a fortnightly team meeting (typically in Slough or London) We embrace hybrid working, with a minimum of 2 days per week in the office Responsibilities Own end to end delivery of data science solutions - from problem framing, feature engineering, monitoring, evaluation and deployment Design and execute hypothesis driven analysis and statistical testing (e.g., experiment design, assumption checking, uncertainty quantification) and translate results into clear business recommendations Build and productionise propensity models to support targeting, next best action and other decisioning use cases Build and productionise time series forecasting models for demand and stock perspectives; perform back testing and continuously improve forecast accuracy Partner with stakeholders to define success metrics and deliver meaningful outcomes Build, validate and optimise robust data pipelines and model code - testing, performance, reproducibility, documentation and security considerations Contribute to team growth through knowledge sharing, mentoring and best practice Essential Experience Demonstrated ability to solve ambiguous problems and deliver end to end analytical solutions Strong grounding in applied statistics (hypothesis testing, experiment design, uncertainty analysis) Proven experience with both static and time series modelling Advanced skills in Python, SQL, and PySpark, with a focus on clean, testable, reproducible code Experience deploying models in cloud environments (Azure preferred), including CI/CD and monitoring Strong communication skills - able to simplify complex ideas for non technical audiences PhD or Masters Degree Desired Experience Experience with tools such as MLflow, PyTorch, Databricks, or graph databases A passion for continuous improvement and sharing knowledge A collaborative mindset with excellent stakeholder engagement skills Benefits Hybrid working blend - a mix of office and remote (2 days per week in the office). Flexible working patterns across full time and part time positions. Equal Opportunity Employer Tesco is an equal opportunity employer. We are committed to a fully inclusive and accessible recruitment process.
26/06/2026
Full time
Overview At Tesco Mobile, we use data to connect people and shape personalised experiences. We are looking for a Senior Data Scientist to build and deploy scalable models that drive real world outcomes for our customers. Why Join Us? Work on high impact projects that influence real business outcomes Be part of a collaborative, forward thinking team Combine deep technical work with real world application Grow your expertise in a supportive and innovative environment Role Details This role can be based in Welwyn Garden City or our Slough office with occasional travel required. Team collaboration is key - you'll attend a fortnightly team meeting (typically in Slough or London) We embrace hybrid working, with a minimum of 2 days per week in the office Responsibilities Own end to end delivery of data science solutions - from problem framing, feature engineering, monitoring, evaluation and deployment Design and execute hypothesis driven analysis and statistical testing (e.g., experiment design, assumption checking, uncertainty quantification) and translate results into clear business recommendations Build and productionise propensity models to support targeting, next best action and other decisioning use cases Build and productionise time series forecasting models for demand and stock perspectives; perform back testing and continuously improve forecast accuracy Partner with stakeholders to define success metrics and deliver meaningful outcomes Build, validate and optimise robust data pipelines and model code - testing, performance, reproducibility, documentation and security considerations Contribute to team growth through knowledge sharing, mentoring and best practice Essential Experience Demonstrated ability to solve ambiguous problems and deliver end to end analytical solutions Strong grounding in applied statistics (hypothesis testing, experiment design, uncertainty analysis) Proven experience with both static and time series modelling Advanced skills in Python, SQL, and PySpark, with a focus on clean, testable, reproducible code Experience deploying models in cloud environments (Azure preferred), including CI/CD and monitoring Strong communication skills - able to simplify complex ideas for non technical audiences PhD or Masters Degree Desired Experience Experience with tools such as MLflow, PyTorch, Databricks, or graph databases A passion for continuous improvement and sharing knowledge A collaborative mindset with excellent stakeholder engagement skills Benefits Hybrid working blend - a mix of office and remote (2 days per week in the office). Flexible working patterns across full time and part time positions. Equal Opportunity Employer Tesco is an equal opportunity employer. We are committed to a fully inclusive and accessible recruitment process.
"Shape the future of data at a bank that sees data as its greatest asset." Castle Trust Bank is a fintech challenger bank, providing specialist property mortgages, retail finance lending and savings accounts to a variety of customers. We're investing in the people and technologies that turn data into our biggest advantage. Data Engineer You'll build and optimise our Azure-based data platform, helping us deliver scalable, reliable solutions that power strategic decision making across the Bank. This is what you'll deliver Reporting to the Lead Data Engineer, you'll collaborate across the Data Team and wider business to build high-quality data pipelines and models that enable trusted insight and innovation. Building production grade data pipelines is one of your core strengths. You'll use Azure Databricks and Azure DevOps to develop, test, and maintain reliable ELT workflows, to ensure accurate, accessible, and trusted data across the organisation. You're curious about new technologies, whether it's orchestration tools, data quality frameworks, or AI data pipelines, and you're excited to contribute ideas that drive innovation across the Bank. This is a hybrid role based in Basingstoke, with flexibility to work 2 days from home per week. What you'll bring You're a hands-on engineer with a sharp eye for detail, a passion for clean data, and a drive to turn complexity into clarity. With high attention to detail and a commitment to delivering high-quality outcomes, you will also be a strong communicator and able to work effectively with technical and non-technical stakeholders. You will also need to have the below experience: Essential Proficient in Databricks, SQL, Python and Azure Synapse. Strong grasp of data modelling (e.g., Kimball). Familiarity with CI/CD practices for data pipelines (e.g., Azure DevOps) Experience applying data quality and validation techniques. Desirable Relevant industry certifications such as Databricks, Azure Data Engineer Associate. Degree or equivalent practical experience in computer science or data engineering. Exposure to Power BI or other visualisation tools. Interest in machine learning or generative AI tools and techniques. A background in regulated or financial services environments. We value continuous personal development and will support you with opportunities to build your skills, gain certifications, and grow your career. Why join Castle Trust Bank? Competitive salary Performance bonus (based on individual and company performance) Generous contributory pension through Hargreaves Lansdown Life Assurance 25 days' holiday + option to buy/sell 5 days Additional paid volunteering day Private healthcare through Equipsme (includes cash back for Dental and Optical treatment) Free access to BHSF Rise EAP to support colleague health and wellbeing Gym discounts Season ticket travel loans (if applicable) Hybrid working (3 days in Basingstoke) A supportive, inclusive culture where your work has real impact Caught your attention? If so, we'd love to talk to you and tell you more about what it's like to work at Castle Trust Bank - The Place To Work! Castle Trust Bank is an equal opportunity employer where we celebrate diversity and are committed to creating an inclusive environment for all our colleagues to thrive. We welcome applications from all and will not discriminate against any status/characteristic protected by law and will always base our decisions on merit. We are proud to support people with disabilities and are committed to be a Disability Confident employer. If you are a person with a disability and meet the minimum criteria for the role you will be offered an interview. Should you require any reasonable adjustment to support you in your application for one of our opportunities, please contact
26/06/2026
Full time
"Shape the future of data at a bank that sees data as its greatest asset." Castle Trust Bank is a fintech challenger bank, providing specialist property mortgages, retail finance lending and savings accounts to a variety of customers. We're investing in the people and technologies that turn data into our biggest advantage. Data Engineer You'll build and optimise our Azure-based data platform, helping us deliver scalable, reliable solutions that power strategic decision making across the Bank. This is what you'll deliver Reporting to the Lead Data Engineer, you'll collaborate across the Data Team and wider business to build high-quality data pipelines and models that enable trusted insight and innovation. Building production grade data pipelines is one of your core strengths. You'll use Azure Databricks and Azure DevOps to develop, test, and maintain reliable ELT workflows, to ensure accurate, accessible, and trusted data across the organisation. You're curious about new technologies, whether it's orchestration tools, data quality frameworks, or AI data pipelines, and you're excited to contribute ideas that drive innovation across the Bank. This is a hybrid role based in Basingstoke, with flexibility to work 2 days from home per week. What you'll bring You're a hands-on engineer with a sharp eye for detail, a passion for clean data, and a drive to turn complexity into clarity. With high attention to detail and a commitment to delivering high-quality outcomes, you will also be a strong communicator and able to work effectively with technical and non-technical stakeholders. You will also need to have the below experience: Essential Proficient in Databricks, SQL, Python and Azure Synapse. Strong grasp of data modelling (e.g., Kimball). Familiarity with CI/CD practices for data pipelines (e.g., Azure DevOps) Experience applying data quality and validation techniques. Desirable Relevant industry certifications such as Databricks, Azure Data Engineer Associate. Degree or equivalent practical experience in computer science or data engineering. Exposure to Power BI or other visualisation tools. Interest in machine learning or generative AI tools and techniques. A background in regulated or financial services environments. We value continuous personal development and will support you with opportunities to build your skills, gain certifications, and grow your career. Why join Castle Trust Bank? Competitive salary Performance bonus (based on individual and company performance) Generous contributory pension through Hargreaves Lansdown Life Assurance 25 days' holiday + option to buy/sell 5 days Additional paid volunteering day Private healthcare through Equipsme (includes cash back for Dental and Optical treatment) Free access to BHSF Rise EAP to support colleague health and wellbeing Gym discounts Season ticket travel loans (if applicable) Hybrid working (3 days in Basingstoke) A supportive, inclusive culture where your work has real impact Caught your attention? If so, we'd love to talk to you and tell you more about what it's like to work at Castle Trust Bank - The Place To Work! Castle Trust Bank is an equal opportunity employer where we celebrate diversity and are committed to creating an inclusive environment for all our colleagues to thrive. We welcome applications from all and will not discriminate against any status/characteristic protected by law and will always base our decisions on merit. We are proud to support people with disabilities and are committed to be a Disability Confident employer. If you are a person with a disability and meet the minimum criteria for the role you will be offered an interview. Should you require any reasonable adjustment to support you in your application for one of our opportunities, please contact
Senior Forward Deployed Engineer (FDE, Full Stack) London, United Kingdom (Hybrid) Recruiter: Dina Hussain We're hiring for multiple roles within our FDE team. As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end to end systems spanning data engineering, AI, and application development. We work cross functionally to shape long term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands on, customer facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. Impact you will have Production Solution Delivery: Lead impactful customer technical projects by delivering production grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end to end design, build and deployment of industry leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for Experience in data engineering, data platforms & analytics, or software engineering / full stack development Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end to end data architectures and applications that combine data pipelines, ML/AI models, and user facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range. Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks based solutions to complete customer projects. Travel to customers 20% of the time. Databricks Certification - an advantage. Benefits Databricks offers comprehensive benefits and perks that meet the needs of all of its employees. Specific details on the benefits offered in your region are available upon request. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
26/06/2026
Full time
Senior Forward Deployed Engineer (FDE, Full Stack) London, United Kingdom (Hybrid) Recruiter: Dina Hussain We're hiring for multiple roles within our FDE team. As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end to end systems spanning data engineering, AI, and application development. We work cross functionally to shape long term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands on, customer facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. Impact you will have Production Solution Delivery: Lead impactful customer technical projects by delivering production grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end to end design, build and deployment of industry leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for Experience in data engineering, data platforms & analytics, or software engineering / full stack development Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end to end data architectures and applications that combine data pipelines, ML/AI models, and user facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range. Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks based solutions to complete customer projects. Travel to customers 20% of the time. Databricks Certification - an advantage. Benefits Databricks offers comprehensive benefits and perks that meet the needs of all of its employees. Specific details on the benefits offered in your region are available upon request. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
At 1st Central, everything starts with our people. As one of the UK's leading motor and home insurers, we use smart technology, data and great service to make insurance fast, fair and simple for over 1.4 million customers. We're proud to create an environment where people feel supported, trusted and able to grow - whether that's developing new skills, taking on fresh challenges or making a real impact every day. If you're looking for a role where you can make a difference, we'd love to hear from you. Principal Data Engineer We're currently recruiting for a Principal Data Engineer to join 1st Central, acting as a key bridge between business opportunities and technical solutions. This is a hands on technical role, where you'll provide leadership on data solutions across both project delivery and ongoing data products. You'll take responsibility for defining the technical direction of the data platform and solution design, working closely with architects to ensure alignment with overall platform patterns and standards and will also provide clarity and technical direction to engineers building solutions against agreed designs. While this role does not include direct line management responsibilities, you'll play an important role in supporting, coaching and mentoring data engineers, ensuring delivery meets the required standards of quality and integrity. Core Skills Data Engineering: As a Principal Data Engineer, you'll bring expertise across all stages of the SDLC, alongside strong coaching, leadership and mentoring skills. Cloud Platforms: You'll have deep experience with Microsoft Azure data platforms, ensuring best practices are followed to build and maintain a well managed, high performing platform. Technical Skills: Strong experience using Microsoft Azure, Apache Spark and Databricks for scalable, high performance data processing. Agile Working: You'll understand how to develop solutions iteratively within agile teams, always focusing on delivering business value. Business Intelligence: With BI as the primary consumer of our data solutions, you'll have a strong grasp of reporting, dashboards, and advanced modelling. Problem Solving & Thinking: A creative problem solver who thrives on creating simplicity out of complexity with ability to bring together multiple different views and perspectives to create agreed designs and solutions. This is a flexible hybrid working role with occasional visits to our offices, when required, in either Salford Quays, Manchester, Haywards Heath, West Sussex, or Guernsey. We offer great flexibility in working patterns and a company wide culture to be proud of. Responsibilities You'll be responsible for creating or guiding the low level design of data solutions, taking high level solution architecture artefacts and translating them into workable designs and work packages. You'll be responsible for the quality of the overall data platform(s), ensuring that data pipelines and database solutions are implemented effectively from a re use and performance optimisation perspective. You'll be responsible for coding standards, low level design and ingestion patterns for the data platform(s), that all users, including data engineers, follow. You'll develop high complexity, secure, governed, high quality, efficient data pipelines from a variety of on and off premise, internal and external data sources. You'll set the standards and ensure that data is cleansed, mapped, transformed and optimised for storage to meet requirements for business and technical use cases. You'll design and build data observability and data quality by design into all data pipelines, promoting self testing pipelines that proactively identify processing issues or discrepancies. You'll build solutions that pipe transform data into data lake storage areas, physical database models and reporting structures across data lake, data warehouse, business intelligence system and analytics applications. You'll build physical data models that are appropriately designed to meet business needs and optimise storage requirements, ensuring maximum re use. You'll carry out unit testing of own code, peer testing of others code to ensure appropriate quality, and be responsible for completeness and integrity of solutions delivered on the data platform(s). You'll ensure that effective, and appropriate documentation that brings transparency and understandability are in place for all content on the data platform(s). You'll coach and mentor Senior Data Engineers, Data Engineers & Associate Data Engineers. You'll create high complexity BI solutions including data mart, semantic layer, and reporting & visualisation solutions in recognised BI tools such as Power BI. Experience & Knowledge Requires extensive experience of designing and building end to end data solutions (10 years+). Exceptional at building strong, effective relationships with people from different disciplines. Experience of carrying out data engineering design and build activities using agile working practices (such as Scrum or Kanban). Databricks: Designing and optimising scalable data pipelines on Databricks using PySpark and Spark SQL. Data Lake / Lakehouse: Experience implementing Delta Lake based lakehouse architectures on ADLS Gen2, including optimised storage design, hierarchical namespace, Medallion architecture and patterns for scalable batch and streaming workloads. Synapse Analytics: Experience designing and implementing tables, schemas, stored procedures and data models within Synapse dedicated SQL pools, with knowledge of Synapse architecture and performance. Version Control & CI/CD: Expertise in Git based workflows and CI/CD for data platforms, including branching strategies and automated deployments via YAML pipelines. Unit Testing: Experience implementing unit testing for data pipelines to ensure code quality and reliability. Data Architecture: Experience designing and implementing data models within modern lakehouse architectures, including dimensional modelling (Kimball) for scalable analytics. Data Quality: Experience embedding data quality by design into data pipelines, incorporating validation rules, cleansing, and transformation logic to deliver trusted, high quality data products. Azure Cloud Architecture: Experience designing and governing secure, scalable Azure environments, leveraging network isolation (Virtual Network, Private Link, Firewall), identity and access controls (RBAC, PIM), and effective resource organisation (subscriptions, resource groups, tagging, cost management). Microsoft Entra ID: Experience in implementing identity and access management for cloud data platforms, including security groups and service principals for secure authentication and authorisation. Infrastructure as Code: Experience designing and implementing infrastructure using declarative approaches (e.g. Terraform, Bicep), enabling automated, repeatable, and consistent cloud deployments. Programming: Expertise in Python and SQL for data engineering, with experience leveraging .NET, PowerShell and other languages to support automation, integration, and platform operations. Keen and active interest in the use of data in the wider industry, with practical knowledge and networks. Additional Skills A creative problem solver who thrives on creating simplicity out of complexity. A passion for people and creating environments that enable others to flourish. Resilient and comfortable prioritising in demanding situations. Highly trustworthy and able to operate with integrity and discretion at all times. Energetic and proactive, and someone who motivates others by their "can do, will do" attitude. Able to operate with minimal brief, and a fast moving set of changing priorities. Ability to bring together multiple different views and perspectives to create agreed designs and solutions. If you're looking for a role where you can combine hands on technical expertise with real influence and impact, we'd love you to join us and help shape what's next. Ready to join us? We're looking for talented people who want to make a real impact for our customers, colleagues and business. Apply today and discover where a career at 1st Central could take you.
26/06/2026
Full time
At 1st Central, everything starts with our people. As one of the UK's leading motor and home insurers, we use smart technology, data and great service to make insurance fast, fair and simple for over 1.4 million customers. We're proud to create an environment where people feel supported, trusted and able to grow - whether that's developing new skills, taking on fresh challenges or making a real impact every day. If you're looking for a role where you can make a difference, we'd love to hear from you. Principal Data Engineer We're currently recruiting for a Principal Data Engineer to join 1st Central, acting as a key bridge between business opportunities and technical solutions. This is a hands on technical role, where you'll provide leadership on data solutions across both project delivery and ongoing data products. You'll take responsibility for defining the technical direction of the data platform and solution design, working closely with architects to ensure alignment with overall platform patterns and standards and will also provide clarity and technical direction to engineers building solutions against agreed designs. While this role does not include direct line management responsibilities, you'll play an important role in supporting, coaching and mentoring data engineers, ensuring delivery meets the required standards of quality and integrity. Core Skills Data Engineering: As a Principal Data Engineer, you'll bring expertise across all stages of the SDLC, alongside strong coaching, leadership and mentoring skills. Cloud Platforms: You'll have deep experience with Microsoft Azure data platforms, ensuring best practices are followed to build and maintain a well managed, high performing platform. Technical Skills: Strong experience using Microsoft Azure, Apache Spark and Databricks for scalable, high performance data processing. Agile Working: You'll understand how to develop solutions iteratively within agile teams, always focusing on delivering business value. Business Intelligence: With BI as the primary consumer of our data solutions, you'll have a strong grasp of reporting, dashboards, and advanced modelling. Problem Solving & Thinking: A creative problem solver who thrives on creating simplicity out of complexity with ability to bring together multiple different views and perspectives to create agreed designs and solutions. This is a flexible hybrid working role with occasional visits to our offices, when required, in either Salford Quays, Manchester, Haywards Heath, West Sussex, or Guernsey. We offer great flexibility in working patterns and a company wide culture to be proud of. Responsibilities You'll be responsible for creating or guiding the low level design of data solutions, taking high level solution architecture artefacts and translating them into workable designs and work packages. You'll be responsible for the quality of the overall data platform(s), ensuring that data pipelines and database solutions are implemented effectively from a re use and performance optimisation perspective. You'll be responsible for coding standards, low level design and ingestion patterns for the data platform(s), that all users, including data engineers, follow. You'll develop high complexity, secure, governed, high quality, efficient data pipelines from a variety of on and off premise, internal and external data sources. You'll set the standards and ensure that data is cleansed, mapped, transformed and optimised for storage to meet requirements for business and technical use cases. You'll design and build data observability and data quality by design into all data pipelines, promoting self testing pipelines that proactively identify processing issues or discrepancies. You'll build solutions that pipe transform data into data lake storage areas, physical database models and reporting structures across data lake, data warehouse, business intelligence system and analytics applications. You'll build physical data models that are appropriately designed to meet business needs and optimise storage requirements, ensuring maximum re use. You'll carry out unit testing of own code, peer testing of others code to ensure appropriate quality, and be responsible for completeness and integrity of solutions delivered on the data platform(s). You'll ensure that effective, and appropriate documentation that brings transparency and understandability are in place for all content on the data platform(s). You'll coach and mentor Senior Data Engineers, Data Engineers & Associate Data Engineers. You'll create high complexity BI solutions including data mart, semantic layer, and reporting & visualisation solutions in recognised BI tools such as Power BI. Experience & Knowledge Requires extensive experience of designing and building end to end data solutions (10 years+). Exceptional at building strong, effective relationships with people from different disciplines. Experience of carrying out data engineering design and build activities using agile working practices (such as Scrum or Kanban). Databricks: Designing and optimising scalable data pipelines on Databricks using PySpark and Spark SQL. Data Lake / Lakehouse: Experience implementing Delta Lake based lakehouse architectures on ADLS Gen2, including optimised storage design, hierarchical namespace, Medallion architecture and patterns for scalable batch and streaming workloads. Synapse Analytics: Experience designing and implementing tables, schemas, stored procedures and data models within Synapse dedicated SQL pools, with knowledge of Synapse architecture and performance. Version Control & CI/CD: Expertise in Git based workflows and CI/CD for data platforms, including branching strategies and automated deployments via YAML pipelines. Unit Testing: Experience implementing unit testing for data pipelines to ensure code quality and reliability. Data Architecture: Experience designing and implementing data models within modern lakehouse architectures, including dimensional modelling (Kimball) for scalable analytics. Data Quality: Experience embedding data quality by design into data pipelines, incorporating validation rules, cleansing, and transformation logic to deliver trusted, high quality data products. Azure Cloud Architecture: Experience designing and governing secure, scalable Azure environments, leveraging network isolation (Virtual Network, Private Link, Firewall), identity and access controls (RBAC, PIM), and effective resource organisation (subscriptions, resource groups, tagging, cost management). Microsoft Entra ID: Experience in implementing identity and access management for cloud data platforms, including security groups and service principals for secure authentication and authorisation. Infrastructure as Code: Experience designing and implementing infrastructure using declarative approaches (e.g. Terraform, Bicep), enabling automated, repeatable, and consistent cloud deployments. Programming: Expertise in Python and SQL for data engineering, with experience leveraging .NET, PowerShell and other languages to support automation, integration, and platform operations. Keen and active interest in the use of data in the wider industry, with practical knowledge and networks. Additional Skills A creative problem solver who thrives on creating simplicity out of complexity. A passion for people and creating environments that enable others to flourish. Resilient and comfortable prioritising in demanding situations. Highly trustworthy and able to operate with integrity and discretion at all times. Energetic and proactive, and someone who motivates others by their "can do, will do" attitude. Able to operate with minimal brief, and a fast moving set of changing priorities. Ability to bring together multiple different views and perspectives to create agreed designs and solutions. If you're looking for a role where you can combine hands on technical expertise with real influence and impact, we'd love you to join us and help shape what's next. Ready to join us? We're looking for talented people who want to make a real impact for our customers, colleagues and business. Apply today and discover where a career at 1st Central could take you.
At 1st Central, everything starts with our people. As one of the UK's leading motor and home insurers, we use smart technology, data and great service to make insurance fast, fair and simple for over 1.4 million customers. We're proud to create an environment where people feel supported, trusted and able to grow - whether that's developing new skills, taking on fresh challenges or making a real impact every day. If you're looking for a role where you can make a difference, we'd love to hear from you. Principal Data Engineer We're currently recruiting for a Principal Data Engineer to join 1st Central, acting as a key bridge between business opportunities and technical solutions. This is a hands on technical role, where you'll provide leadership on data solutions across both project delivery and ongoing data products. You'll take responsibility for defining the technical direction of the data platform and solution design, working closely with architects to ensure alignment with overall platform patterns and standards and will also provide clarity and technical direction to engineers building solutions against agreed designs. While this role does not include direct line management responsibilities, you'll play an important role in supporting, coaching and mentoring data engineers, ensuring delivery meets the required standards of quality and integrity. Core Skills Data Engineering: As a Principal Data Engineer, you'll bring expertise across all stages of the SDLC, alongside strong coaching, leadership and mentoring skills. Cloud Platforms: You'll have deep experience with Microsoft Azure data platforms, ensuring best practices are followed to build and maintain a well managed, high performing platform. Technical Skills: Strong experience using Microsoft Azure, Apache Spark and Databricks for scalable, high performance data processing. Agile Working: You'll understand how to develop solutions iteratively within agile teams, always focusing on delivering business value. Business Intelligence: With BI as the primary consumer of our data solutions, you'll have a strong grasp of reporting, dashboards, and advanced modelling. Problem Solving & Thinking: A creative problem solver who thrives on creating simplicity out of complexity with ability to bring together multiple different views and perspectives to create agreed designs and solutions. This is a flexible hybrid working role with occasional visits to our offices, when required, in either Salford Quays, Manchester, Haywards Heath, West Sussex, or Guernsey. We offer great flexibility in working patterns and a company wide culture to be proud of. Responsibilities You'll be responsible for creating or guiding the low level design of data solutions, taking high level solution architecture artefacts and translating them into workable designs and work packages. You'll be responsible for the quality of the overall data platform(s), ensuring that data pipelines and database solutions are implemented effectively from a re use and performance optimisation perspective. You'll be responsible for coding standards, low level design and ingestion patterns for the data platform(s), that all users, including data engineers, follow. You'll develop high complexity, secure, governed, high quality, efficient data pipelines from a variety of on and off premise, internal and external data sources. You'll set the standards and ensure that data is cleansed, mapped, transformed and optimised for storage to meet requirements for business and technical use cases. You'll design and build data observability and data quality by design into all data pipelines, promoting self testing pipelines that proactively identify processing issues or discrepancies. You'll build solutions that pipe transform data into data lake storage areas, physical database models and reporting structures across data lake, data warehouse, business intelligence system and analytics applications. You'll build physical data models that are appropriately designed to meet business needs and optimise storage requirements, ensuring maximum re use. You'll carry out unit testing of own code, peer testing of others code to ensure appropriate quality, and be responsible for completeness and integrity of solutions delivered on the data platform(s). You'll ensure that effective, and appropriate documentation that brings transparency and understandability are in place for all content on the data platform(s). You'll coach and mentor Senior Data Engineers, Data Engineers & Associate Data Engineers. You'll create high complexity BI solutions including data mart, semantic layer, and reporting & visualisation solutions in recognised BI tools such as Power BI. Experience & Knowledge Requires extensive experience of designing and building end to end data solutions (10 years+). Exceptional at building strong, effective relationships with people from different disciplines. Experience of carrying out data engineering design and build activities using agile working practices (such as Scrum or Kanban). Databricks: Designing and optimising scalable data pipelines on Databricks using PySpark and Spark SQL. Data Lake / Lakehouse: Experience implementing Delta Lake based lakehouse architectures on ADLS Gen2, including optimised storage design, hierarchical namespace, Medallion architecture and patterns for scalable batch and streaming workloads. Synapse Analytics: Experience designing and implementing tables, schemas, stored procedures and data models within Synapse dedicated SQL pools, with knowledge of Synapse architecture and performance. Version Control & CI/CD: Expertise in Git based workflows and CI/CD for data platforms, including branching strategies and automated deployments via YAML pipelines. Unit Testing: Experience implementing unit testing for data pipelines to ensure code quality and reliability. Data Architecture: Experience designing and implementing data models within modern lakehouse architectures, including dimensional modelling (Kimball) for scalable analytics. Data Quality: Experience embedding data quality by design into data pipelines, incorporating validation rules, cleansing, and transformation logic to deliver trusted, high quality data products. Azure Cloud Architecture: Experience designing and governing secure, scalable Azure environments, leveraging network isolation (Virtual Network, Private Link, Firewall), identity and access controls (RBAC, PIM), and effective resource organisation (subscriptions, resource groups, tagging, cost management). Microsoft Entra ID: Experience in implementing identity and access management for cloud data platforms, including security groups and service principals for secure authentication and authorisation. Infrastructure as Code: Experience designing and implementing infrastructure using declarative approaches (e.g. Terraform, Bicep), enabling automated, repeatable, and consistent cloud deployments. Programming: Expertise in Python and SQL for data engineering, with experience leveraging .NET, PowerShell and other languages to support automation, integration, and platform operations. Keen and active interest in the use of data in the wider industry, with practical knowledge and networks. Additional Skills A creative problem solver who thrives on creating simplicity out of complexity. A passion for people and creating environments that enable others to flourish. Resilient and comfortable prioritising in demanding situations. Highly trustworthy and able to operate with integrity and discretion at all times. Energetic and proactive, and someone who motivates others by their "can do, will do" attitude. Able to operate with minimal brief, and a fast moving set of changing priorities. Ability to bring together multiple different views and perspectives to create agreed designs and solutions. If you're looking for a role where you can combine hands on technical expertise with real influence and impact, we'd love you to join us and help shape what's next. Ready to join us? We're looking for talented people who want to make a real impact for our customers, colleagues and business. Apply today and discover where a career at 1st Central could take you.
26/06/2026
Full time
At 1st Central, everything starts with our people. As one of the UK's leading motor and home insurers, we use smart technology, data and great service to make insurance fast, fair and simple for over 1.4 million customers. We're proud to create an environment where people feel supported, trusted and able to grow - whether that's developing new skills, taking on fresh challenges or making a real impact every day. If you're looking for a role where you can make a difference, we'd love to hear from you. Principal Data Engineer We're currently recruiting for a Principal Data Engineer to join 1st Central, acting as a key bridge between business opportunities and technical solutions. This is a hands on technical role, where you'll provide leadership on data solutions across both project delivery and ongoing data products. You'll take responsibility for defining the technical direction of the data platform and solution design, working closely with architects to ensure alignment with overall platform patterns and standards and will also provide clarity and technical direction to engineers building solutions against agreed designs. While this role does not include direct line management responsibilities, you'll play an important role in supporting, coaching and mentoring data engineers, ensuring delivery meets the required standards of quality and integrity. Core Skills Data Engineering: As a Principal Data Engineer, you'll bring expertise across all stages of the SDLC, alongside strong coaching, leadership and mentoring skills. Cloud Platforms: You'll have deep experience with Microsoft Azure data platforms, ensuring best practices are followed to build and maintain a well managed, high performing platform. Technical Skills: Strong experience using Microsoft Azure, Apache Spark and Databricks for scalable, high performance data processing. Agile Working: You'll understand how to develop solutions iteratively within agile teams, always focusing on delivering business value. Business Intelligence: With BI as the primary consumer of our data solutions, you'll have a strong grasp of reporting, dashboards, and advanced modelling. Problem Solving & Thinking: A creative problem solver who thrives on creating simplicity out of complexity with ability to bring together multiple different views and perspectives to create agreed designs and solutions. This is a flexible hybrid working role with occasional visits to our offices, when required, in either Salford Quays, Manchester, Haywards Heath, West Sussex, or Guernsey. We offer great flexibility in working patterns and a company wide culture to be proud of. Responsibilities You'll be responsible for creating or guiding the low level design of data solutions, taking high level solution architecture artefacts and translating them into workable designs and work packages. You'll be responsible for the quality of the overall data platform(s), ensuring that data pipelines and database solutions are implemented effectively from a re use and performance optimisation perspective. You'll be responsible for coding standards, low level design and ingestion patterns for the data platform(s), that all users, including data engineers, follow. You'll develop high complexity, secure, governed, high quality, efficient data pipelines from a variety of on and off premise, internal and external data sources. You'll set the standards and ensure that data is cleansed, mapped, transformed and optimised for storage to meet requirements for business and technical use cases. You'll design and build data observability and data quality by design into all data pipelines, promoting self testing pipelines that proactively identify processing issues or discrepancies. You'll build solutions that pipe transform data into data lake storage areas, physical database models and reporting structures across data lake, data warehouse, business intelligence system and analytics applications. You'll build physical data models that are appropriately designed to meet business needs and optimise storage requirements, ensuring maximum re use. You'll carry out unit testing of own code, peer testing of others code to ensure appropriate quality, and be responsible for completeness and integrity of solutions delivered on the data platform(s). You'll ensure that effective, and appropriate documentation that brings transparency and understandability are in place for all content on the data platform(s). You'll coach and mentor Senior Data Engineers, Data Engineers & Associate Data Engineers. You'll create high complexity BI solutions including data mart, semantic layer, and reporting & visualisation solutions in recognised BI tools such as Power BI. Experience & Knowledge Requires extensive experience of designing and building end to end data solutions (10 years+). Exceptional at building strong, effective relationships with people from different disciplines. Experience of carrying out data engineering design and build activities using agile working practices (such as Scrum or Kanban). Databricks: Designing and optimising scalable data pipelines on Databricks using PySpark and Spark SQL. Data Lake / Lakehouse: Experience implementing Delta Lake based lakehouse architectures on ADLS Gen2, including optimised storage design, hierarchical namespace, Medallion architecture and patterns for scalable batch and streaming workloads. Synapse Analytics: Experience designing and implementing tables, schemas, stored procedures and data models within Synapse dedicated SQL pools, with knowledge of Synapse architecture and performance. Version Control & CI/CD: Expertise in Git based workflows and CI/CD for data platforms, including branching strategies and automated deployments via YAML pipelines. Unit Testing: Experience implementing unit testing for data pipelines to ensure code quality and reliability. Data Architecture: Experience designing and implementing data models within modern lakehouse architectures, including dimensional modelling (Kimball) for scalable analytics. Data Quality: Experience embedding data quality by design into data pipelines, incorporating validation rules, cleansing, and transformation logic to deliver trusted, high quality data products. Azure Cloud Architecture: Experience designing and governing secure, scalable Azure environments, leveraging network isolation (Virtual Network, Private Link, Firewall), identity and access controls (RBAC, PIM), and effective resource organisation (subscriptions, resource groups, tagging, cost management). Microsoft Entra ID: Experience in implementing identity and access management for cloud data platforms, including security groups and service principals for secure authentication and authorisation. Infrastructure as Code: Experience designing and implementing infrastructure using declarative approaches (e.g. Terraform, Bicep), enabling automated, repeatable, and consistent cloud deployments. Programming: Expertise in Python and SQL for data engineering, with experience leveraging .NET, PowerShell and other languages to support automation, integration, and platform operations. Keen and active interest in the use of data in the wider industry, with practical knowledge and networks. Additional Skills A creative problem solver who thrives on creating simplicity out of complexity. A passion for people and creating environments that enable others to flourish. Resilient and comfortable prioritising in demanding situations. Highly trustworthy and able to operate with integrity and discretion at all times. Energetic and proactive, and someone who motivates others by their "can do, will do" attitude. Able to operate with minimal brief, and a fast moving set of changing priorities. Ability to bring together multiple different views and perspectives to create agreed designs and solutions. If you're looking for a role where you can combine hands on technical expertise with real influence and impact, we'd love you to join us and help shape what's next. Ready to join us? We're looking for talented people who want to make a real impact for our customers, colleagues and business. Apply today and discover where a career at 1st Central could take you.
Castle Trust Bank in Basingstoke is seeking a Data Engineer to build and optimise their Azure-based data platform. This role involves developing high-quality data pipelines and models, utilizing tools like Databricks and Azure DevOps. The ideal candidate should have strong skills in SQL, Python, and CI/CD practices. The position offers a competitive salary, performance bonuses, and the opportunity for hybrid work, reflecting our commitment to a supportive culture.
26/06/2026
Full time
Castle Trust Bank in Basingstoke is seeking a Data Engineer to build and optimise their Azure-based data platform. This role involves developing high-quality data pipelines and models, utilizing tools like Databricks and Azure DevOps. The ideal candidate should have strong skills in SQL, Python, and CI/CD practices. The position offers a competitive salary, performance bonuses, and the opportunity for hybrid work, reflecting our commitment to a supportive culture.
Senior Data Engineer Job Type: Full-time Salary Range: 45k - 60k Location: Hybrid working model with office days in Guildford or Lewes Join a leading public sector organisation as a Senior Data Engineer. This role offers the opportunity to significantly impact by leading the modernisation of data systems and ensuring community safety through high-quality data. Day-to-Day Responsibilities: Lead the modernisation of our client's data warehouse and implement Lakehouse architectures. Design, build, and optimise a secure, scalable cloud data platform within the Microsoft Fabric ecosystem. Architect and optimise high-performance, scalable data pipelines using SQL, Python, and Fabric Data Factory. Collaborate with business stakeholders, architects, analysts, and data scientists to deliver impactful data products. Serve as a technical leader-mentoring junior data engineers, driving best practices, and enhancing platform performance. Conduct monitoring, troubleshooting, root cause analysis, and performance optimisation of legacy data issues. Required Skills & Qualifications: Strong experience in delivering cloud data solutions, preferably in Microsoft Fabric or Azure. Experience with other platforms like AWS, Snowflake, or Databricks is also beneficial. Hands-on expertise with Data Factory (Fabric or Azure), notebooks (Python, PySpark), advanced SQL, and robust data modelling and performance optimisation skills. Proven track record in building scalable data pipelines and implementing modern architectures such as Medallion. Familiarity with CI/CD, Git, Azure DevOps, and API-based integrations. Excellent stakeholder engagement skills with the ability to translate business needs into technical solutions. Leadership capabilities with a proactive, solution-focused mindset. Nice to have: Experience with legacy technologies such as Oracle, SQL Server, SSIS, SAP Data Services, T-SQL, or PL/SQL. Benefits: Flexible working policies including job shares and part-time options. Agile working environment allowing management of your own diary and potential home working. Career progression opportunities. Contributory pension scheme. Generous annual leave allowance. Discounts for everyday spend, on-site gyms, and a range of sports clubs. Generous and supportive parental leave. Financial and mental wellbeing guidance and support. Discounted contributory healthcare scheme. If you are passionate about using data to drive safety and efficiency, and enjoy solving complex challenges in a dynamic environment, apply to join us as a Senior Data Engineer. Your work will have a real-world impact, helping to keep communities safe and secure. NB - there is a security check for this role requiring applicants to have been resident in the UK for at least the last five years To apply for this Senior Data Engineer position, please submit your CV today
25/06/2026
Full time
Senior Data Engineer Job Type: Full-time Salary Range: 45k - 60k Location: Hybrid working model with office days in Guildford or Lewes Join a leading public sector organisation as a Senior Data Engineer. This role offers the opportunity to significantly impact by leading the modernisation of data systems and ensuring community safety through high-quality data. Day-to-Day Responsibilities: Lead the modernisation of our client's data warehouse and implement Lakehouse architectures. Design, build, and optimise a secure, scalable cloud data platform within the Microsoft Fabric ecosystem. Architect and optimise high-performance, scalable data pipelines using SQL, Python, and Fabric Data Factory. Collaborate with business stakeholders, architects, analysts, and data scientists to deliver impactful data products. Serve as a technical leader-mentoring junior data engineers, driving best practices, and enhancing platform performance. Conduct monitoring, troubleshooting, root cause analysis, and performance optimisation of legacy data issues. Required Skills & Qualifications: Strong experience in delivering cloud data solutions, preferably in Microsoft Fabric or Azure. Experience with other platforms like AWS, Snowflake, or Databricks is also beneficial. Hands-on expertise with Data Factory (Fabric or Azure), notebooks (Python, PySpark), advanced SQL, and robust data modelling and performance optimisation skills. Proven track record in building scalable data pipelines and implementing modern architectures such as Medallion. Familiarity with CI/CD, Git, Azure DevOps, and API-based integrations. Excellent stakeholder engagement skills with the ability to translate business needs into technical solutions. Leadership capabilities with a proactive, solution-focused mindset. Nice to have: Experience with legacy technologies such as Oracle, SQL Server, SSIS, SAP Data Services, T-SQL, or PL/SQL. Benefits: Flexible working policies including job shares and part-time options. Agile working environment allowing management of your own diary and potential home working. Career progression opportunities. Contributory pension scheme. Generous annual leave allowance. Discounts for everyday spend, on-site gyms, and a range of sports clubs. Generous and supportive parental leave. Financial and mental wellbeing guidance and support. Discounted contributory healthcare scheme. If you are passionate about using data to drive safety and efficiency, and enjoy solving complex challenges in a dynamic environment, apply to join us as a Senior Data Engineer. Your work will have a real-world impact, helping to keep communities safe and secure. NB - there is a security check for this role requiring applicants to have been resident in the UK for at least the last five years To apply for this Senior Data Engineer position, please submit your CV today
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Job Title: Senior Data Engineer Location: Solihull - Hybrid Contract: 3 months with possible extension. Rate: 550 - 650 inside umbrella Purpose Design, build and assure scalable, secure data products and pipelines across Azure, AWS and Databricks. Lead data integration design, technical decisions and best practices, while mentoring engineers and enabling high-quality analytics, BI and data science outcomes. Reporting & Collaboration Reports to Lead Data Engineer with oversight from Head of Data Operations & Engineering Works across Data Science, Analytics, Architecture, Cyber, Product and Delivery teams Acts as a senior technical lead, guiding engineers and influencing cross-team decisions Key Responsibilities Lead design and delivery of scalable batch & streaming data pipelines and products Define and assure enterprise-aligned data integration architectures Optimise cloud platforms (Azure, AWS, Databricks) for performance and cost Build and own ETL/ELT pipelines using PySpark, SQL and orchestration frameworks Automate and modernise legacy data processes with reusable patterns Design robust data models (Delta Lake, schema evolution, metadata, lineage) Ensure data security, governance, and compliance (access control, encryption, lifecycle) Provide technical leadership, mentoring and design reviews Collaborate with stakeholders to translate complex technical decisions clearly Support strategic roadmap, tooling and continuous improvement initiatives Core Skills & Expertise Data Engineering Advanced PySpark and SQL, performance tuning and best practice coding Data modelling (conceptual, logical, physical) and integration design Data quality, testing frameworks and automated validation Strong data analysis, profiling and insight delivery Cloud & Platforms Azure: Data Factory, Synapse, Databricks, ADLS Gen2, Event Hub, Purview AWS: S3, Glue, Athena, Kinesis, Lambda, EMR, Lake Formation Databricks: Delta Lake, Unity Catalog, Structured Streaming, MLflow SQL Server stack (SSIS, SSRS) Engineering Practices CI/CD for data platforms and Infrastructure-as-Code (Terraform/Bicep) Git, monitoring and alerting tools Data governance, lineage and observability frameworks Leading technical design assurance and reviews Qualifications & Experience Degree (or equivalent) in Computer Science or related field Experience in enterprise-scale data engineering Relevant certifications (Azure, AWS, Databricks) desirable Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
25/06/2026
Contractor
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Job Title: Senior Data Engineer Location: Solihull - Hybrid Contract: 3 months with possible extension. Rate: 550 - 650 inside umbrella Purpose Design, build and assure scalable, secure data products and pipelines across Azure, AWS and Databricks. Lead data integration design, technical decisions and best practices, while mentoring engineers and enabling high-quality analytics, BI and data science outcomes. Reporting & Collaboration Reports to Lead Data Engineer with oversight from Head of Data Operations & Engineering Works across Data Science, Analytics, Architecture, Cyber, Product and Delivery teams Acts as a senior technical lead, guiding engineers and influencing cross-team decisions Key Responsibilities Lead design and delivery of scalable batch & streaming data pipelines and products Define and assure enterprise-aligned data integration architectures Optimise cloud platforms (Azure, AWS, Databricks) for performance and cost Build and own ETL/ELT pipelines using PySpark, SQL and orchestration frameworks Automate and modernise legacy data processes with reusable patterns Design robust data models (Delta Lake, schema evolution, metadata, lineage) Ensure data security, governance, and compliance (access control, encryption, lifecycle) Provide technical leadership, mentoring and design reviews Collaborate with stakeholders to translate complex technical decisions clearly Support strategic roadmap, tooling and continuous improvement initiatives Core Skills & Expertise Data Engineering Advanced PySpark and SQL, performance tuning and best practice coding Data modelling (conceptual, logical, physical) and integration design Data quality, testing frameworks and automated validation Strong data analysis, profiling and insight delivery Cloud & Platforms Azure: Data Factory, Synapse, Databricks, ADLS Gen2, Event Hub, Purview AWS: S3, Glue, Athena, Kinesis, Lambda, EMR, Lake Formation Databricks: Delta Lake, Unity Catalog, Structured Streaming, MLflow SQL Server stack (SSIS, SSRS) Engineering Practices CI/CD for data platforms and Infrastructure-as-Code (Terraform/Bicep) Git, monitoring and alerting tools Data governance, lineage and observability frameworks Leading technical design assurance and reviews Qualifications & Experience Degree (or equivalent) in Computer Science or related field Experience in enterprise-scale data engineering Relevant certifications (Azure, AWS, Databricks) desirable Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Description Hybrid : 2 days per week in London, 1 day per month in Fleet Tempcover is at the forefront of the fast-growing world of short term insurance. Our mission is to make car insurance flexible, quick, and easy for drivers. We've sold millions of policies that have helped drivers get where they need to go, but we're not finished there. We're growing our team to help us continue in that mission.If you are extraordinary at what you do and want to be a part of a rapidly growing business at the cutting edge of the InsureTech industry, we would love to hear from you The Data and Analytics team within Tempcover provide a vital role in bringing data, MI and Insight to life for internal & external stakeholders and partners. The Staff Data Engineer will be responsible for the design, build and maintenance of the Tempcover cloud based data platform, supporting the wider business in making data-driven decisions. Leading the development and optimisation of data pipelines, data models and data quality controls, this role will require collaboration with data analysts and business stakeholders to translate data needs into scalable and reliable solutions. Over the past 5 years, the data platform has continually evolved through the expansion of data models, integrations and underpinning technologies. This evolution is set to continue at pace as we refine our data ingestion solutions and expand our insight capability across the business. Starting in 2026 we expect to increasingly make use of the Google Big Query platform and move away from Azure over the next 12- 18 months. What you'll be doing Design, develop, and maintain robust data pipelines and ETL processes Create and manage accurate and performant data models to support Tempcover's analytical capability. Propose and implement internal improvement initiatives to the data platform. Lead proactive approach to performance monitoring / tuning Leverage cloud-based platforms to build a scalable data infrastructure. Provide continued support to ensure high availability of data to the wider business Work closely with analysts across MI, Marketing, Product, Underwriting and Pricing to understand data requirements and translate them into effective solutions. Work with rigour to ensure data quality / accuracy. Mentor and guide junior data engineers, providing technical expertise and project oversight. What we're looking for Essential Advanced proficiency in SQL databases, including writing complex queries, indexing and query optimisation. Experience of ETL tools such as Google Cloud Dataflow, DBT, Azure Data Factory, FiveTran and Databricks. Solid understanding of data warehousing techniques; ETL / ELT processes and dimensional modelling. In-depth knowledge of cloud-based data infrastructure (GCP, Azure, AWS). Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment. Proficiency with Git / DevOps for version control and collaboration. Beneficial API integration. Knowledge of Python is beneficial. Ability to work within a SCRUM agile development environment. Understanding of visualisation and dashboard products (e.g. Power BI, Tableau, Qlik) Our commitment to you At RVU, we are dedicated to developing valuable, inclusive, and user-friendly products and services that deliver positive outcomes for all of our customers. To achieve this it's essential that our teams reflect the diverse range of people in our community. We believe in being the change we wish to see in the world, by embracing our differences and holding ourselves accountable to being open and inclusive teammates and wider community members. What we offer We want to give you a great work environment, support your growth both personally and professionally, and provide benefits that make your time at RVU even more enjoyable. Here are some of the benefits you can look forward to : 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance) A hybrid working approach with 2 in-office days per week and up to 22 working days per year to "work from anywhere" Employer matching pension contributions up to 7.5% A one-off £300 "Work from Home" budget to help contribute towards a great work environment at home Excellent maternity, paternity, shared parental and adoption leave policy, for those key moments in your life 25 days holiday (increasing with years of employment to 30 days) + 2 days "My Time" per year Private medical cover, critical illness cover and employee assistance programme A healthy learning and training budget Electric vehicle and cycle to work schemes Regular events - from team socials to company-wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected As a tech company who strives to get better every day, we use Metaview during the interview processes for note taking purposes. This records and transcribes interviews so the interviewer can fully focus on your conversation, rather than writing. This has no bearing on the assessment of you as a candidate and you can opt out at any time. Just let us know. Our culture Our culture is driven by innovation, collaboration, and a relentless focus on creating real value for our customers. With an experimentation mindset, we challenge the status quo, push boundaries, and embrace continuous learning to stay ahead. Our diverse teams are made up of brilliant people who uplift each other and work together to tackle complex problems. We work with a balance of rigour and urgency so we can learn fast and adapt to change quickly. We are a company where growth knows no limits, and where every person is empowered to make an extraordinary impact. Check out our Life At RVU page to get a further glimpse into our culture.
25/06/2026
Full time
Description Hybrid : 2 days per week in London, 1 day per month in Fleet Tempcover is at the forefront of the fast-growing world of short term insurance. Our mission is to make car insurance flexible, quick, and easy for drivers. We've sold millions of policies that have helped drivers get where they need to go, but we're not finished there. We're growing our team to help us continue in that mission.If you are extraordinary at what you do and want to be a part of a rapidly growing business at the cutting edge of the InsureTech industry, we would love to hear from you The Data and Analytics team within Tempcover provide a vital role in bringing data, MI and Insight to life for internal & external stakeholders and partners. The Staff Data Engineer will be responsible for the design, build and maintenance of the Tempcover cloud based data platform, supporting the wider business in making data-driven decisions. Leading the development and optimisation of data pipelines, data models and data quality controls, this role will require collaboration with data analysts and business stakeholders to translate data needs into scalable and reliable solutions. Over the past 5 years, the data platform has continually evolved through the expansion of data models, integrations and underpinning technologies. This evolution is set to continue at pace as we refine our data ingestion solutions and expand our insight capability across the business. Starting in 2026 we expect to increasingly make use of the Google Big Query platform and move away from Azure over the next 12- 18 months. What you'll be doing Design, develop, and maintain robust data pipelines and ETL processes Create and manage accurate and performant data models to support Tempcover's analytical capability. Propose and implement internal improvement initiatives to the data platform. Lead proactive approach to performance monitoring / tuning Leverage cloud-based platforms to build a scalable data infrastructure. Provide continued support to ensure high availability of data to the wider business Work closely with analysts across MI, Marketing, Product, Underwriting and Pricing to understand data requirements and translate them into effective solutions. Work with rigour to ensure data quality / accuracy. Mentor and guide junior data engineers, providing technical expertise and project oversight. What we're looking for Essential Advanced proficiency in SQL databases, including writing complex queries, indexing and query optimisation. Experience of ETL tools such as Google Cloud Dataflow, DBT, Azure Data Factory, FiveTran and Databricks. Solid understanding of data warehousing techniques; ETL / ELT processes and dimensional modelling. In-depth knowledge of cloud-based data infrastructure (GCP, Azure, AWS). Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment. Proficiency with Git / DevOps for version control and collaboration. Beneficial API integration. Knowledge of Python is beneficial. Ability to work within a SCRUM agile development environment. Understanding of visualisation and dashboard products (e.g. Power BI, Tableau, Qlik) Our commitment to you At RVU, we are dedicated to developing valuable, inclusive, and user-friendly products and services that deliver positive outcomes for all of our customers. To achieve this it's essential that our teams reflect the diverse range of people in our community. We believe in being the change we wish to see in the world, by embracing our differences and holding ourselves accountable to being open and inclusive teammates and wider community members. What we offer We want to give you a great work environment, support your growth both personally and professionally, and provide benefits that make your time at RVU even more enjoyable. Here are some of the benefits you can look forward to : 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance) A hybrid working approach with 2 in-office days per week and up to 22 working days per year to "work from anywhere" Employer matching pension contributions up to 7.5% A one-off £300 "Work from Home" budget to help contribute towards a great work environment at home Excellent maternity, paternity, shared parental and adoption leave policy, for those key moments in your life 25 days holiday (increasing with years of employment to 30 days) + 2 days "My Time" per year Private medical cover, critical illness cover and employee assistance programme A healthy learning and training budget Electric vehicle and cycle to work schemes Regular events - from team socials to company-wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected As a tech company who strives to get better every day, we use Metaview during the interview processes for note taking purposes. This records and transcribes interviews so the interviewer can fully focus on your conversation, rather than writing. This has no bearing on the assessment of you as a candidate and you can opt out at any time. Just let us know. Our culture Our culture is driven by innovation, collaboration, and a relentless focus on creating real value for our customers. With an experimentation mindset, we challenge the status quo, push boundaries, and embrace continuous learning to stay ahead. Our diverse teams are made up of brilliant people who uplift each other and work together to tackle complex problems. We work with a balance of rigour and urgency so we can learn fast and adapt to change quickly. We are a company where growth knows no limits, and where every person is empowered to make an extraordinary impact. Check out our Life At RVU page to get a further glimpse into our culture.
Data Architect Hybrid RCT (South Wales) IntaPeople are proud and excited to be appointed to recruit an experienced Data Architect for a Welsh-based not-for-profit sector client during a rapid growth spurt. This is a very exciting opportunity to join their fast-growing Data function in this newly created position. You will be joining the data team as one of the first handful of team members in this area of the business which will work with external partners to build out the organisations data capability offering. As a Data Architect, you will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and platform that enable them to make data-driven decisions at a enterprise level. Working closely with the 'Head of Data Engineering' you will help grow out this data function with the recruitment of further data engineering resources whilst working closely with solutions architects and Software Engineers. You will also get the opportunity to progress into a leadership role if this suited the individuals' desires and capabilities. You will shape, govern and assure the organisation's data architecture, defining, designing and maintaining strategic data models, standards, flows and governance structures that support organisational goals, ensure compliance, foster collaboration across business areas, and enable the organisation to make data-driven decisions Essential Skills Proven experience as a Senior Data Engineer or Data Architect (or similar/related role). Experience with Enterprise level Data sets. Expertise and practical experience in designing and aligning data models across multiple subject areas, applying recognised patterns and industry standards. Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent. Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services. Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions. Experience of communicating technical information and data to a non technical audience and working collaboratively with analysts, architects, and product owners to deliver data solutions that meet user and organisational needs. Ability to lead and mentor other team members. Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure or AWS. Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery. Experience with Big Data. Certification in data architecture or governance frameworks (e.g., TOGAF, DAMA, DCAM, EDMC). Experience of using programming languages such as Python, Scala and SQL. Welsh language skills. Key Responsibilities (at a glance) Establish Data strategies and data modelling internally within the data estate. Lead the design and oversight of enterprise aligned data models and supporting data architecture, ensuring that all modelling approaches follow organisational standards, recognised patterns, and enable scalable, high quality data flows across services. Provide expert architectural guidance to technical teams delivering cloud based data platforms, ensuring that data integration, modelling, metadata and design decisions align with organisational and enterprise wide standards. Work closely with other business leaders to maintain governance and compliance within their data estate. Work closely with data analysts, data engineering, Enterprise and solution architects, DevOps, and business stakeholders through regular communication and collaborative planning to ensure data solutions are closely aligned with business objectives and effectively meet user needs. Contribute to the development and execution of the Data Strategy by maintaining thorough documentation of data processes, architectures, and workflows to ensure all technical and process information is systematically recorded, updated and data initiatives deliver business value and are aligned with broader technology and organisational goals. Research into emerging technologies and upcoming trends. Provide oversight to teams building data processing pipelines and integration patterns, ensuring their artefacts are consistent with data architecture principles and metadata strategies. Lead on the introduction of foundational data management capabilities to improve trust, accessibility, and efficiency in an organisation that has limited data management capability, lacks data management practices, including governance, metadata standards, and quality controls. Design, implement, and optimise physical data models that align with pipeline architecture, by using the approach that ensures efficient query performance, scalable storage, and robust integration and delivers adaptable and resource efficient data processing, meeting the organisation's evolving analytical and operational demands. Managing the aspirations of a variety of stakeholders to enable successful project delivery can be challenging, especially when their priorities may differ or even conflict and require reconciliation to meet business and project needs. What you'll get in return (at a glance) A salary of circa £64,000 - £65,000 (depending on experience) 28 days annual leave + public bank holidays Hybrid working - to be based in their brand new, modern offices 1 2 days per week A flexible working environment Competitive Legal and General pension Scheme (8% employer contribution) 4 death in service The opportunity to work on modern and industry changing projects Progression and development opportunities Free Rail travel throughout Wales and discounted throughout the UK Salary sacrifice scheme such as cycle to work, electric vehicle A chance to truly contribute to large scale digitalisation projects within Wales This role is commutable from Swansea, Bridgend, Pontypridd, Cardiff and Newport or surrounding areas.
24/06/2026
Full time
Data Architect Hybrid RCT (South Wales) IntaPeople are proud and excited to be appointed to recruit an experienced Data Architect for a Welsh-based not-for-profit sector client during a rapid growth spurt. This is a very exciting opportunity to join their fast-growing Data function in this newly created position. You will be joining the data team as one of the first handful of team members in this area of the business which will work with external partners to build out the organisations data capability offering. As a Data Architect, you will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and platform that enable them to make data-driven decisions at a enterprise level. Working closely with the 'Head of Data Engineering' you will help grow out this data function with the recruitment of further data engineering resources whilst working closely with solutions architects and Software Engineers. You will also get the opportunity to progress into a leadership role if this suited the individuals' desires and capabilities. You will shape, govern and assure the organisation's data architecture, defining, designing and maintaining strategic data models, standards, flows and governance structures that support organisational goals, ensure compliance, foster collaboration across business areas, and enable the organisation to make data-driven decisions Essential Skills Proven experience as a Senior Data Engineer or Data Architect (or similar/related role). Experience with Enterprise level Data sets. Expertise and practical experience in designing and aligning data models across multiple subject areas, applying recognised patterns and industry standards. Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent. Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services. Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions. Experience of communicating technical information and data to a non technical audience and working collaboratively with analysts, architects, and product owners to deliver data solutions that meet user and organisational needs. Ability to lead and mentor other team members. Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure or AWS. Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery. Experience with Big Data. Certification in data architecture or governance frameworks (e.g., TOGAF, DAMA, DCAM, EDMC). Experience of using programming languages such as Python, Scala and SQL. Welsh language skills. Key Responsibilities (at a glance) Establish Data strategies and data modelling internally within the data estate. Lead the design and oversight of enterprise aligned data models and supporting data architecture, ensuring that all modelling approaches follow organisational standards, recognised patterns, and enable scalable, high quality data flows across services. Provide expert architectural guidance to technical teams delivering cloud based data platforms, ensuring that data integration, modelling, metadata and design decisions align with organisational and enterprise wide standards. Work closely with other business leaders to maintain governance and compliance within their data estate. Work closely with data analysts, data engineering, Enterprise and solution architects, DevOps, and business stakeholders through regular communication and collaborative planning to ensure data solutions are closely aligned with business objectives and effectively meet user needs. Contribute to the development and execution of the Data Strategy by maintaining thorough documentation of data processes, architectures, and workflows to ensure all technical and process information is systematically recorded, updated and data initiatives deliver business value and are aligned with broader technology and organisational goals. Research into emerging technologies and upcoming trends. Provide oversight to teams building data processing pipelines and integration patterns, ensuring their artefacts are consistent with data architecture principles and metadata strategies. Lead on the introduction of foundational data management capabilities to improve trust, accessibility, and efficiency in an organisation that has limited data management capability, lacks data management practices, including governance, metadata standards, and quality controls. Design, implement, and optimise physical data models that align with pipeline architecture, by using the approach that ensures efficient query performance, scalable storage, and robust integration and delivers adaptable and resource efficient data processing, meeting the organisation's evolving analytical and operational demands. Managing the aspirations of a variety of stakeholders to enable successful project delivery can be challenging, especially when their priorities may differ or even conflict and require reconciliation to meet business and project needs. What you'll get in return (at a glance) A salary of circa £64,000 - £65,000 (depending on experience) 28 days annual leave + public bank holidays Hybrid working - to be based in their brand new, modern offices 1 2 days per week A flexible working environment Competitive Legal and General pension Scheme (8% employer contribution) 4 death in service The opportunity to work on modern and industry changing projects Progression and development opportunities Free Rail travel throughout Wales and discounted throughout the UK Salary sacrifice scheme such as cycle to work, electric vehicle A chance to truly contribute to large scale digitalisation projects within Wales This role is commutable from Swansea, Bridgend, Pontypridd, Cardiff and Newport or surrounding areas.
Senior Data Engineer Cardiff (hybrid) £47,675 Benefits: 28.9% Pension & 31 days annual leave + Bank Holidays, and 2 Privilege days We're looking for an experienced Senior Data Engineer to design and build a modern cloud data platform from the ground up. This is a greenfield opportunity where you'll shape the organisation's data architecture, establish engineering best practices, and create scalable solutions that power reporting, analytics, and future AI initiatives. If you enjoy solving complex data challenges, building robust platforms, and influencing technical direction, this role offers genuine ownership and impact. What You'll Be Doing Design and build a modern Azure-based data platform Develop scalable ETL/ELT pipelines using Databricks, Spark and Azure services Implement secure, governed data solutions following DataOps and DataSecOps principles Create high-quality data models to support reporting and self-service analytics Develop and optimise Power BI semantic models and reporting architecture Ensure data quality, security and performance across the platform Champion CI/CD, automation and engineering best practices Mentor junior engineers and contribute to technical leadership Collaborate with stakeholders to turn business requirements into scalable data solutions Essential Skills Strong SQL and Python (PySpark preferred) Proven experience building cloud-based data platforms on Azure Hands-on experience with Azure Databricks, Delta Lake and Azure Data Lake Expertise designing ETL/ELT pipelines Experience with Power BI administration and data modelling Knowledge of Git, CI/CD and modern engineering practices Strong understanding of data governance, security and access control Experience designing scalable analytics and reporting solutions Nice to Have Medallion Architecture or Lakehouse experience Azure Data Factory, dbt or Prefect DataSecOps and cloud security experience AI/ML data preparation knowledge Experience leading technical projects or mentoring engineers You'll Thrive Here If You Enjoy building solutions from the ground up Take ownership and drive technical decisions Balance engineering excellence with practical delivery Communicate confidently with both technical and non-technical stakeholders Enjoy mentoring others and sharing knowledge Have a continuous improvement mindset Why Join? Greenfield engineering opportunity Significant technical ownership and autonomy Opportunity to influence long-term data strategy Modern Azure technology stack Collaborative engineering culture Opportunity to mentor and shape engineering standards Work on projects that deliver genuine business impact Benefits: 31 days annual leave + Bank Holidays, and 2 Privilege days Flexible and hybrid working Generous employer contribution of 28.97% Time off for wellbeing activities Green car scheme Cycle2Work and season travel tickets Access to subsidised sports groups Think this one's for you If you think this Senior Data Engineer opportunity is for you then please apply online. Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs. Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work.
24/06/2026
Full time
Senior Data Engineer Cardiff (hybrid) £47,675 Benefits: 28.9% Pension & 31 days annual leave + Bank Holidays, and 2 Privilege days We're looking for an experienced Senior Data Engineer to design and build a modern cloud data platform from the ground up. This is a greenfield opportunity where you'll shape the organisation's data architecture, establish engineering best practices, and create scalable solutions that power reporting, analytics, and future AI initiatives. If you enjoy solving complex data challenges, building robust platforms, and influencing technical direction, this role offers genuine ownership and impact. What You'll Be Doing Design and build a modern Azure-based data platform Develop scalable ETL/ELT pipelines using Databricks, Spark and Azure services Implement secure, governed data solutions following DataOps and DataSecOps principles Create high-quality data models to support reporting and self-service analytics Develop and optimise Power BI semantic models and reporting architecture Ensure data quality, security and performance across the platform Champion CI/CD, automation and engineering best practices Mentor junior engineers and contribute to technical leadership Collaborate with stakeholders to turn business requirements into scalable data solutions Essential Skills Strong SQL and Python (PySpark preferred) Proven experience building cloud-based data platforms on Azure Hands-on experience with Azure Databricks, Delta Lake and Azure Data Lake Expertise designing ETL/ELT pipelines Experience with Power BI administration and data modelling Knowledge of Git, CI/CD and modern engineering practices Strong understanding of data governance, security and access control Experience designing scalable analytics and reporting solutions Nice to Have Medallion Architecture or Lakehouse experience Azure Data Factory, dbt or Prefect DataSecOps and cloud security experience AI/ML data preparation knowledge Experience leading technical projects or mentoring engineers You'll Thrive Here If You Enjoy building solutions from the ground up Take ownership and drive technical decisions Balance engineering excellence with practical delivery Communicate confidently with both technical and non-technical stakeholders Enjoy mentoring others and sharing knowledge Have a continuous improvement mindset Why Join? Greenfield engineering opportunity Significant technical ownership and autonomy Opportunity to influence long-term data strategy Modern Azure technology stack Collaborative engineering culture Opportunity to mentor and shape engineering standards Work on projects that deliver genuine business impact Benefits: 31 days annual leave + Bank Holidays, and 2 Privilege days Flexible and hybrid working Generous employer contribution of 28.97% Time off for wellbeing activities Green car scheme Cycle2Work and season travel tickets Access to subsidised sports groups Think this one's for you If you think this Senior Data Engineer opportunity is for you then please apply online. Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs. Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work.
