Senior Data Engineer
Senior Data Engineer – London Insurance Market | London (Hybrid)
About the Role
We are hiring an experienced Senior Data Engineer to join a high-impact transformation programme focused on modernizing data platforms within the London Insurance Market. This is an excellent opportunity to work on cloud-native solutions that power underwriting, pricing, claims, reinsurance, regulatory reporting, and AI-driven analytics.
You will play a key role in designing scalable data architectures, building robust pipelines, and partnering with senior stakeholders across business and technology functions.
Location: London, United Kingdom
Working Model: Hybrid
Key Responsibilities
- Design and implement modern cloud-based data platforms using Medallion Architecture.
- Build and optimize batch and real-time data pipelines across underwriting, pricing, claims, reinsurance, and bordereaux data.
- Develop scalable solutions using Python, PySpark, Databricks, and/or Snowflake.
- Integrate data from policy administration systems, claims platforms, broker systems, third-party providers, and market feeds.
- Ensure strong data quality, reconciliation, lineage, governance, and auditability.
- Support analytics, MI, regulatory reporting, and AI use cases.
- Apply AI-assisted engineering tools (Open AI / Claude) to improve delivery productivity.
- Drive engineering best practices including code reviews, CI/CD, Git workflows, and automated testing.
- Mentor engineers and act as a trusted advisor to senior stakeholders.
Required Skills & Experience
- Proven experience as a Senior Data Engineer or Lead Data Engineer.
- Strong background in Insurance, ideally within the London Market ecosystem.
- Deep knowledge of underwriting, claims, delegated authority, pricing, and reinsurance.
- Hands-on expertise in Python, PySpark, Databricks, Snowflake, SQL.
- Experience with Azure, AWS, or GCP.
- Strong understanding of batch/streaming pipelines and data modelling.
- Familiarity with DevOps practices, CI/CD, and Git-based delivery models.
- Excellent communication skills with experience engaging business and technical stakeholders.
Nice to Have
- Experience with bank reporting / bordereaux processing.
- Exposure to GenAI use cases in engineering or analytics.
- Experience leading small engineering teams or workstreams.
Why Join?
- Work on business-critical transformation initiatives.
- Collaborate with senior leaders across Data, Underwriting, Finance, and Actuarial teams.
- Use modern cloud and AI technologies.
- Strong career growth in a specialist market domain.
Apply Now
If you have the right blend of Data Engineering expertise + Insurance domain knowledge, we’d love to hear from you.
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