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    Senior Data Engineer | Insurance, Lloyd’s Managing Agent | Lloyd’s/London Markets Experience Needed

    • Salary:
      Up to £100,000 per annum + Bonus and Benefits

    • Location:
      City Of London

    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:

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

    What we’re looking for:

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

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