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, 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., 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.

• 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

Data Engineer: We are currently seeking a number of Data Engineer’s, at various levels, 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.

Experience with PySpark, Python, SQL and DataBricks (or Snowflake) is required for these roles.

Its a chance to work on a very modern tech stack and learn from an incredible team., 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.