Ageas Insurance Limited
Reigate, Surrey
Job Title : Senior Data Engineer Target Start Date: 20th June 2026 Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £54,000 - £81,000 Location: Eastleigh and Reigate Closing Date for applications: 18th April Senior Data Engineer: We are currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support data products within our modern data platform Design and deliver solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills and experience you need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with Git, Jenkins or similar Ability to ingest, cleanse and structure large, diverse datasets Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure to production Generative AI is an advantage Strong collaboration skills and a proactive attitude At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone . We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find out more about Ageas, see About Us .Want to be part of a Winning Team? Come and join Ageas.Click on the 'Apply button' to
Job Title : Senior Data Engineer Target Start Date: 20th June 2026 Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £54,000 - £81,000 Location: Eastleigh and Reigate Closing Date for applications: 18th April Senior Data Engineer: We are currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support data products within our modern data platform Design and deliver solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills and experience you need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with Git, Jenkins or similar Ability to ingest, cleanse and structure large, diverse datasets Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure to production Generative AI is an advantage Strong collaboration skills and a proactive attitude At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone . We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find out more about Ageas, see About Us .Want to be part of a Winning Team? Come and join Ageas.Click on the 'Apply button' to
Colt Technology Services Group Ltd.
The Data Architect is responsible for designing, governing, and evolving the organization's data ecosystem, ensuring that data from business applications is integrated, structured, and made available for analytics, reporting, and strategic decision making. This role provides technical leadership across data integration, data warehousing, and BI platforms, ensuring data is accurate, secure, and optimised for performance. Working closely with business stakeholders, solution architects, and development teams, the Data Architect shapes the organization's data strategy and drives best practice data management. What you will do Key Responsibilities Data Architecture & Strategy Define and maintain the enterprise data architecture, including data models, integration patterns, and data flows across business systems. Develop and evolve the organization's data warehousing and BI strategy, ensuring alignment with business needs and long term scalability. Ensure solutions align with enterprise architecture principles, security standards, and regulatory requirements. Establish standards for data modelling, metadata, master data, and data governance. Collaborate with stakeholders to define functional and non functional requirements, understanding stakeholder pain points and strategic priorities. Translate business needs into clear technical designs and solution options. Act as a trusted advisor to senior stakeholders, providing guidance on feasibility, risks, and trade offs. Data Integration Design and oversee data integration solutions using APIs, ETL/ELT pipelines, middleware, and modern integration platforms. Ensure data from business applications (ERP, CRM, HR, etc.) is ingested reliably, consistently, and securely. Optimise data pipelines for performance, resilience, and maintainability. Data Warehousing & Storage Architect and maintain enterprise data warehouses, data marts, and analytical data stores. Define logical and physical data models that support reporting, analytics, and self service BI. Ensure data structures support both operational and strategic reporting needs. Business Intelligence & Analytics Enablement Partner with BI developers and analysts to design semantic models, datasets, and reporting structures. Ensure BI platforms (e.g., Power BI, Tableau) are fed with high quality, well structured data. Promote self service analytics through robust data models, documentation, and governance. Governance, Quality & Security Implement data quality frameworks, validation rules, and monitoring processes. Ensure compliance with data protection, security, and regulatory requirements. Maintain documentation, data dictionaries, lineage diagrams, and architectural artefacts. Leadership & Governance Work closely with solution architects to ensure application and data architectures are aligned. Advise business stakeholders on data feasibility, risks, and opportunities. Provide technical leadership to data engineers, BI developers, and integration specialists. Contribute to architectural governance forums and change advisory boards. Conduct design reviews, risk assessments, and impact analyses. Skills & Experience Proven experience as a Data Architect, Senior Data Engineer, or similar role in an enterprise environment. Strong expertise in data integration technologies (ETL/ELT tools, APIs, iPaaS, event driven architectures). Hands on experience with data warehousing platforms with strong understanding of relational and dimensional modelling, star/snowflake schemas, and semantic layers. Experience working with BI platforms such as Power BI, Tableau, or Qlik. Solid understanding of data governance, data quality, and metadata management. Ability to translate complex data concepts into business friendly language. Strong stakeholder management and communication skills. Experience with Azure data services (e.g., Data Factory, Synapse, Databricks, SQL MI). Knowledge of MDM frameworks and data cataloguing tools. Understanding of DevOps, CI/CD, and automation for data pipelines. Exposure to data security frameworks and regulatory standards. Familiarity with DevOps practices, CI/CD pipelines, and automation tooling. Job Segment: Data Architect, Data Warehouse, Developer, Information Technology, IT Architecture, Data, Technology
The Data Architect is responsible for designing, governing, and evolving the organization's data ecosystem, ensuring that data from business applications is integrated, structured, and made available for analytics, reporting, and strategic decision making. This role provides technical leadership across data integration, data warehousing, and BI platforms, ensuring data is accurate, secure, and optimised for performance. Working closely with business stakeholders, solution architects, and development teams, the Data Architect shapes the organization's data strategy and drives best practice data management. What you will do Key Responsibilities Data Architecture & Strategy Define and maintain the enterprise data architecture, including data models, integration patterns, and data flows across business systems. Develop and evolve the organization's data warehousing and BI strategy, ensuring alignment with business needs and long term scalability. Ensure solutions align with enterprise architecture principles, security standards, and regulatory requirements. Establish standards for data modelling, metadata, master data, and data governance. Collaborate with stakeholders to define functional and non functional requirements, understanding stakeholder pain points and strategic priorities. Translate business needs into clear technical designs and solution options. Act as a trusted advisor to senior stakeholders, providing guidance on feasibility, risks, and trade offs. Data Integration Design and oversee data integration solutions using APIs, ETL/ELT pipelines, middleware, and modern integration platforms. Ensure data from business applications (ERP, CRM, HR, etc.) is ingested reliably, consistently, and securely. Optimise data pipelines for performance, resilience, and maintainability. Data Warehousing & Storage Architect and maintain enterprise data warehouses, data marts, and analytical data stores. Define logical and physical data models that support reporting, analytics, and self service BI. Ensure data structures support both operational and strategic reporting needs. Business Intelligence & Analytics Enablement Partner with BI developers and analysts to design semantic models, datasets, and reporting structures. Ensure BI platforms (e.g., Power BI, Tableau) are fed with high quality, well structured data. Promote self service analytics through robust data models, documentation, and governance. Governance, Quality & Security Implement data quality frameworks, validation rules, and monitoring processes. Ensure compliance with data protection, security, and regulatory requirements. Maintain documentation, data dictionaries, lineage diagrams, and architectural artefacts. Leadership & Governance Work closely with solution architects to ensure application and data architectures are aligned. Advise business stakeholders on data feasibility, risks, and opportunities. Provide technical leadership to data engineers, BI developers, and integration specialists. Contribute to architectural governance forums and change advisory boards. Conduct design reviews, risk assessments, and impact analyses. Skills & Experience Proven experience as a Data Architect, Senior Data Engineer, or similar role in an enterprise environment. Strong expertise in data integration technologies (ETL/ELT tools, APIs, iPaaS, event driven architectures). Hands on experience with data warehousing platforms with strong understanding of relational and dimensional modelling, star/snowflake schemas, and semantic layers. Experience working with BI platforms such as Power BI, Tableau, or Qlik. Solid understanding of data governance, data quality, and metadata management. Ability to translate complex data concepts into business friendly language. Strong stakeholder management and communication skills. Experience with Azure data services (e.g., Data Factory, Synapse, Databricks, SQL MI). Knowledge of MDM frameworks and data cataloguing tools. Understanding of DevOps, CI/CD, and automation for data pipelines. Exposure to data security frameworks and regulatory standards. Familiarity with DevOps practices, CI/CD pipelines, and automation tooling. Job Segment: Data Architect, Data Warehouse, Developer, Information Technology, IT Architecture, Data, Technology
CACI Limited
Headquartered in London, CACI Ltd is a wholly owned subsidiary of CACI International Inc., a publicly listed company on the NYSE with annual revenue in excess of US $6.2bn and employing approx. 22,000 people worldwide. CACI Ltd is an international data and technology consultancy with £154m turnover and 1200 employees. We are passionate, progressive and unafraid of challenge; our mission is to use technology and data-driven insight to make a commercial difference. We provide expert advice and hands on system management to help our national and global clients get the most from technology and data. We use innovation wisely to deliver well thought out digital solutions and software. CACI's Consumer & Market Intelligence and Experience & Transformation groups provide data, software and consulting services to improve our clients' sales and marketing programmes. We help clients find, retain and grow profitable customers through our understanding of consumer characteristics and behaviour. And we help commercial property developers and retailers plan retail provision in the UK and overseas. C&MI and E&T Groups help clients shape the vision, define the strategy and deliver a truly integrated customer experience. Our services are based on in-depth understanding of individual consumer behaviour and marketing technology which influence the way consumers buy products and services through a combination of data, technology and consultancy. We provide advanced spatial analysis and insights to major organisations across various sectors and countries. Our services include consultancy, cutting-edge software, and the latest data to help clients optimise their location strategies in both physical and digital landscapes. Projects typically range from one week to six months and include performance analysis, customer insights, network strategy development, business intelligence and visualisation, and advanced predictive modelling. We collaborate closely with clients to understand their objectives and develop tailored solutions to meet their business needs. Key Responsibilities Create and deliver a diverse range of bespoke projects using various analytical techniques and tools. Develop creative and impactful analyses to drive real-world strategies and outcomes. Deliver solutions and tools that enhance team and client efficiency and effectiveness. Communicate insights and technical approaches clearly to clients, both verbally and in writing, including documenting analytical methodologies and creating visual representations for senior executives. Taking ownership of project tasks and deadlines and delivering to a high standard. Mentor junior team members on analytical techniques and project delivery. Prior experience in an analytical or consulting role. Proficiency in big data manipulation (e.g., SQL, Python). Experience with cloud-based software (e.g., AWS, Snowflake). Familiarity with ETL software (e.g., Alteryx). Strong communication skills and experience of dealing with a range of stakeholders across a business. Eagerness to learn and a passion for your role. Self motivated, organised, detail oriented, with a positive, "can do" attitude. Preferred Skills Experience with GIS platforms and conducting spatial analysis in real-world applications. We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Successful candidates must have the right to work in the UK.
Headquartered in London, CACI Ltd is a wholly owned subsidiary of CACI International Inc., a publicly listed company on the NYSE with annual revenue in excess of US $6.2bn and employing approx. 22,000 people worldwide. CACI Ltd is an international data and technology consultancy with £154m turnover and 1200 employees. We are passionate, progressive and unafraid of challenge; our mission is to use technology and data-driven insight to make a commercial difference. We provide expert advice and hands on system management to help our national and global clients get the most from technology and data. We use innovation wisely to deliver well thought out digital solutions and software. CACI's Consumer & Market Intelligence and Experience & Transformation groups provide data, software and consulting services to improve our clients' sales and marketing programmes. We help clients find, retain and grow profitable customers through our understanding of consumer characteristics and behaviour. And we help commercial property developers and retailers plan retail provision in the UK and overseas. C&MI and E&T Groups help clients shape the vision, define the strategy and deliver a truly integrated customer experience. Our services are based on in-depth understanding of individual consumer behaviour and marketing technology which influence the way consumers buy products and services through a combination of data, technology and consultancy. We provide advanced spatial analysis and insights to major organisations across various sectors and countries. Our services include consultancy, cutting-edge software, and the latest data to help clients optimise their location strategies in both physical and digital landscapes. Projects typically range from one week to six months and include performance analysis, customer insights, network strategy development, business intelligence and visualisation, and advanced predictive modelling. We collaborate closely with clients to understand their objectives and develop tailored solutions to meet their business needs. Key Responsibilities Create and deliver a diverse range of bespoke projects using various analytical techniques and tools. Develop creative and impactful analyses to drive real-world strategies and outcomes. Deliver solutions and tools that enhance team and client efficiency and effectiveness. Communicate insights and technical approaches clearly to clients, both verbally and in writing, including documenting analytical methodologies and creating visual representations for senior executives. Taking ownership of project tasks and deadlines and delivering to a high standard. Mentor junior team members on analytical techniques and project delivery. Prior experience in an analytical or consulting role. Proficiency in big data manipulation (e.g., SQL, Python). Experience with cloud-based software (e.g., AWS, Snowflake). Familiarity with ETL software (e.g., Alteryx). Strong communication skills and experience of dealing with a range of stakeholders across a business. Eagerness to learn and a passion for your role. Self motivated, organised, detail oriented, with a positive, "can do" attitude. Preferred Skills Experience with GIS platforms and conducting spatial analysis in real-world applications. We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Successful candidates must have the right to work in the UK.
