Senior Data Engineer
Ageas Chandler's Ford, England, United Kingdom · £54K–£81K/yr
Insurance · 10,001+ employees
About the role
The Senior Data Engineer will design and build modern machine learning and AI services while maintaining data pipelines and infrastructure. They will collaborate with cross-functional teams to integrate data from varied sources and promote high coding standards.
What they look for
Requirements
Candidates must have strong experience with cloud data platforms like Databricks or Snowflake on AWS and proficiency in Python, Spark, and Airflow. Advanced SQL skills, data modeling experience, and familiarity with CI/CD tools and infrastructure-as-code are also required.
Full description
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: Reigate and Eastleigh Work Level: WL4 Closing Date for applications: 18th April Hiring Manager: Lee Matthews
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 for 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 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
To find out more about this role and for information please contact Nathan Tedder.
Alternatively, click on the “Apply Button” to be considered.
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