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Ageas

Analytical Engineer

Reigate·Hybrid·2d ago·Closes 2 Jul 2026

Salary

Competitive salary

Work type

Hybrid

Level

mid

Category

Data Engineering

About the role

Job Title: Analytical Engineer
Target Start Date: ASAP
Contract Type: Permanent, Part Time, Full Time, Job Share option available
Salary Range: Competitive
Location: Reigate, Hybris, with office attendance when required

Analytical Engineer: Insert introduction (purpose)Are you passionate about turning complex data into powerful insights and innovative solutions? At esure, we’re looking for an Analytical Engineer to join our growing data & AI function and play a pivotal role in shaping the future of our data platform.

You’ll be working alongside a talented team of Data & AI Engineers, Data Scientists, Analysts, Developers and Architects to design and deliver cutting-edge machine learning and AI-driven solutions. From enabling advanced analytics to supporting product innovation across the business, your work will directly influence how we harness data to drive smarter decisions and better customer outcomes.

This is a fantastic opportunity for someone who thrives in a collaborative, agile environment and is excited by the challenge of building scalable, high-performance data products using modern cloud technologies.

Main Responsibilities as Analytical Engineer:

  • Design, build and maintain scalable data products within esure’s industry-leading data platform
  • Develop and optimise data pipelines, ensuring high-quality, reliable and accessible datasets for analytics and AI use cases
  • Collaborate with product managers and cross-functional agile squads to deliver data-driven solutions, including GenAI applications
  • Integrate and transform data from multiple sources, ensuring adherence to data quality, governance and technical standards
  • Contribute to the continuous improvement of analytics engineering processes, tools and best practices across the wider data community

Skills and experience you need as Analytical Engineer:

  • Strong hands-on experience with modern cloud data platforms (e.g. Databricks or Snowflake), ideally within AWS environments
  • Advanced programming and data engineering skills in Python, PySpark and SQL, with a solid understanding of ETL pipelines and data transformation
  • Proven experience in data modelling (end-to-end), including performance optimisation using tools such as DBT and distributed processing frameworks like SparkSQL
  • Experience with CI/CD, version control (e.g. Git, Jenkins) and pipeline orchestration tools such as Airflow
  • A collaborative mindset with excellent interpersonal skills, and a passion for building robust, scalable data platforms
    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 Working @ Ageas 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.

Tech stack

PythonSQLETLCI/CDAirflowdbtSparkDatabricksSnowflake