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. #DataEngineer #SeniorDataEngineer #Databricks #Snowflake #PySpark #InsuranceJobs #LondonMarket #CloudJobs #Hiring #LondonJobs