Analytical Engineer
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What you'll do
- 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
What they're looking for
- 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
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Job Title: Analytical Engineer
Target Start Date: ASAP
Contract Type: Permanent, Full Time
Salary Range: £60k (£80k for lead role)
Location: Reigate, Hybrid, with office attendance when required (2 days per month)
Analytical Engineer: Are you passionate about turning complex data into powerful insights and innovative solutions? Esure is looking for an Analytical Engineer to join the growing data & AI function and play a pivotal role in shaping the future of the 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 data is harnessed 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
Ageas offers a wide range of benefits to support you and your family inside and outside of work, which helped the business 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 the roles, flexibility within the working day to manage other commitments, such as school drop offs etc. Ageas offers all our vacancies part-time/job-shares. There is also the offer of 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:
Ageas is one of the largest car and home insurers in the UK. The employees help Ageas to be a thriving, creative and innovative place to work. This is shown in the service provided to over four million customers.
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
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