About the Job you are considering:
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.
Hybrid working:
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
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.
Your Skills:
* Strong experience as a Senior Data Engineer within Insurance, ideally the London Market.
* Deep domain knowledge of Lloyds 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).
* Strong experience with batch and streaming data integration and data modelling for analytics.
* 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.
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