Data Engineer
Role details
Job location
Tech stack
Job description
Senior Data Engineer - MUST have London Market / Lloyds of London Insurance experience - hybrid London £60,000 - 75,000 plus 15% cash flex (guaranteed income and can be taken as cash or used to buy extra benefits) plus bonus
We are seeking a Senior Data Engineer with strong Insurance and London Market expertise to design, build, and lead scalable data engineering solutions across underwriting, pricing, claims, reinsurance, and delegated authority domains. This role plays a key part in modernising cloud-native data platforms using medallion architecture, enabling analytics, regulatory reporting, and AI-driven use cases. You will provide hands-on technical leadership while engaging senior stakeholders across business and technology teams.
Your Role:
- Design and implement cloud-based data platforms using Medallion Architecture
- Build and optimise batch and real-time data pipelines for underwriting, pricing, claims, reinsurance, and bordereaux ingestion.
- Develop scalable pipelines using Python and PySpark on Databricks and/or Snowflake.
- Integrate data from PAS, claims systems, broker platforms, third-party providers, and market feeds.
- Ensure robust data quality, reconciliation, lineage, and auditability aligned to London Market and regulatory expectations.
- Apply AI-assisted software engineering techniques using OpenAI / Claude models to improve engineering productivity.
- Enforce engineering governance including code reviews, CI/CD, branching strategies, and deployment standards.
- Act as a trusted technical advisor, mentoring engineers and engaging senior business and IT stakeholders.
Requirements
- Strong experience as a Senior Data Engineer within Insurance, ideally the London Market.
- Deep domain knowledge of Lloyd's syndicates, delegated authority, reinsurance (including ceded), pricing, and claims.
- Proven hands-on expertise in Python, PySpark, Databricks, and/or Snowflake.
- Solid understanding of cloud platforms (Azure, AWS, or GCP).
- Familiarity with DevOps, CI/CD pipelines, Git workflows, and automated testing practices.
- Ability to translate complex insurance business requirements into scalable technical solutions.
- Excellent communication skills and confidence working with senior stakeholders across Data, Underwriting, Finance, and Actuarial teams.