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    <title>Finance Data Engineering Lead - Experis RSS Feed</title>
    <link>https://jobs.co.uk/job/finance-data-engineering-lead-experis--9c636d94-f740-4eae-a552-02913aec636e</link>
    <description>RSS feed for Finance Data Engineering Lead at Experis.</description>
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    <lastBuildDate>Mon, 25 May 2026 15:04:39 GMT</lastBuildDate>
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      <title>Finance Data Engineering Lead - Experis</title>
      <link>https://jobs.co.uk/job/finance-data-engineering-lead-experis--9c636d94-f740-4eae-a552-02913aec636e</link>
      <guid>https://jobs.co.uk/job/finance-data-engineering-lead-experis--9c636d94-f740-4eae-a552-02913aec636e</guid>
      <pubDate>Sun, 17 May 2026 23:00:00 GMT</pubDate>
      <description>Location: London | Salary: &amp;pound;750 - &amp;pound;950/day | Type: Contract | Finance Data Engineering Lead - Insurance Programme  Contract | Outside IR35 | London (Hybrid)  We are working with a leading insurance organisation seeking a Finance Data Engineering Lead to join a major programme at a critical stage of delivery.  This is a hands-on role focused on building and delivering data solutions within an established cloud data environment.   The Role   You will play a key role in developing and deploying finance and actuarial data pipelines, supporting reporting, analytics and reconciliation capabilities.  Key responsibilities include:   Developing Python / PySpark data pipelines within cloud platforms  Building datasets and models for finance, actuarial and risk reporting  Integrating with existing data ingestion and orchestration frameworks  Supporting reconciliation, validation and data quality processes  Collaborating with design and architecture teams to deliver aligned solutions    Experience Required    Strong experience as a Data Engineer within insurance (essential)  Proficiency in Python, PySpark and Spark-based processing  Experience working with Databricks or similar cloud data platforms  Exposure to finance, actuarial or regulatory reporting ...</description>
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