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Senior data engineer | insurance, lloyd’s managing agent | lloyd’s/london markets experience needed

London
IPS
Data engineer
Posted: 6 October
Offer description

We’re working with a respected and fast-evolving Lloyd’s managing agent that’s leading the way across multiple lines, including Property, Casualty, and Specialty. As part of a major transformation, they’re building a modern, business-driven data platform from the ground up – and they’re looking for a Senior Data Engineer to help shape it.

About the Business
This Lloyd’s managing agent is authorised and regulated by the PRA and FCA, managing a high-performing syndicate. They are known for underwriting excellence and are investing heavily in data and technology to support their long-term growth.

Why this role?
You’ll play a key role in delivering a robust, scalable data platform that unlocks better MI, improves data quality, and drives automation across the business. You’ll work closely with teams across Actuarial, Finance, and IT – helping to bring their data needs to life.
This is a genuinely exciting opportunity to influence the data direction of a Lloyd’s business, not just maintain it.

Key responsibilities:

1. Design and build Data Lake and Data Warehouse solutions
2. Create scalable, automated batch and streaming data pipelines
3. Optimise metadata, catalogue, lineage, and data quality processes
4. Support business teams with data visualisation and reporting solutions
5. Ensure secure handling of complex and sensitive data
6. Collaborate with stakeholders across the business to deliver value-driven solutions

What we’re looking for:

7. London/Lloyd’s Market experience is essential
8. Strong programming skills in Python and SQL; knowledge of Java or Scala is a plus
9. Solid experience with relational databases and data modelling (Data Vault, Dimensional)
10. Proficiency with ETL tools and cloud platforms (AWS, Azure or GCP)
11. Experience working in Agile and DevOps environments
12. Knowledge of AI/ML applications in data workflows is desirable
13. Familiarity with visualisation tools like Power BI, Tableau, or Qlik

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