Analytical Engineer

Ageas; Reigate and Banstead; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Flexible Working

Health Insurance

Pension Scheme

Annual Bonus

Job summary

Ageas in Reigate is seeking an Analytical Engineer to turn complex data into actionable insights and AI-driven solutions within our data & AI function. You will join a team of engineers, scientists and analysts to design and deliver scalable data products using modern cloud technologies.

Key responsibilities include building data pipelines, collaborating with cross-functional squads, and enabling analytics and GenAI use cases while upholding data quality and governance standards.

Qualifications

• Strong hands-on experience with modern cloud data platforms (Databricks or Snowflake) in 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 (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.

Responsibilities

• 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

Databricks

Snowflake

Python

PySpark

SQL

DBT

SparkSQL

CI/CD

Git

Jenkins

Airflow

Tools

Git

Jenkins

Airflow

DBT

Job description

Job Title: Analytical Engineer
Target Start Date: ASAP
Contract Type: Permanent, Full Time
Salary Range: Competitive
Location: Reigate, Hybrid, with office attendance when required
Closing Date for applications: Friday 7th August

Analytical Engineer:Are you passionate about turning complex data into powerfulinsights and innovative solutions? At esure, we’re looking for an AnalyticalEngineer to join our growing data & AI function and play a pivotal rolein shaping the future of our data platform.

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

This is a fantastic opportunity for someone who thrives in acollaborative, agile environment and is excited by the challenge of buildingscalable, high-performance data products using modern cloud technologies.
Main Responsibilities as Analytical Engineer:

• Design,build and maintain scalable data products within esure’s industry-leadingdata platform
• Developand optimise data pipelines, ensuring high-quality, reliable andaccessible datasets for analytics and AI use cases
• Collaboratewith product managers and cross-functional agile squads to deliverdata-driven solutions, including GenAI applications
• Integrateand transform data from multiple sources, ensuring adherence to dataquality, governance and technical standards
• Contributeto the continuous improvement of analytics engineering processes, toolsand best practices across the wider data community

Skills and experience you need as Analytical Engineer:

• Stronghands-on experience with modern cloud data platforms (e.g. Databricks orSnowflake), ideally within AWS environments
• Advancedprogramming and data engineering skills in Python, PySpark and SQL,with a solid understanding of ETL pipelines and data transformation
• Provenexperience in data modelling (end-to-end), including performanceoptimisation using tools such as DBT and distributed processing frameworkslike SparkSQL
• Experiencewith CI/CD, version control (e.g. Git, Jenkins) and pipeline orchestrationtools such as Airflow
• Acollaborative mindset with excellent interpersonal skills, and a passionfor 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 Employerstatus in the UK.

Here are some of the benefits you can enjoy at Ageas:

Flexible Working- Smart Working @ Ageasgives 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 InsuranceHealth 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- Returnto 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.