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Senior Data Engineer

ABOUT THIS ROLE

  • Contract
  • Anywhere

Senior Data Engineer – Python – GCP – Databricks – Actuarial and Asset Management Excel Files – Investment/Financial/Insurance Industry Experience

Our client in the financial services space are looking for a Senior Data Engineer with experience in Actuarial and Asset Management Excel Files. As well as a strong background with Python, SQL, GCP and Databricks, working on large-scale, complex datasets and building end-to-end data pipelines in financial services environments, including automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders.

Key Skills:

  • Actuarial and Asset Management Excel Files
  • Investment & Financial domain knowledge: Have worked within the operations team for an asset management department and understands assets data, like financial securities
  • SQL: Data manipulation and querying.
  • Python: Experience in libraries like Pandas and NumPy
  • Cloud Platform: Building on GCP using BigQuery
  • Familiarity with tools like DBT and Databricks
  • Experience with investment-related projects or working in the reinsurance or life insurance domain

Rate – DoE Outside IR35

Location – Full remote (UK based)

Duration – 6 months rolling

Maximum file size: 20 MB.
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Recruited by: Jamal Musa

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