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Senior Data Engineer – Outside IR35


Financial Services

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ABOUT THIS ROLE

  • / United Kingdom (Remote)
  • / Contract
  • / DoE Outside IR35
REF:

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

At Orbis Group, we are committed to creating an inclusive and diverse workplace. Research indicates that candidates, especially from underrepresented backgrounds, often hesitate to apply for jobs if they don't meet every qualification.

If you're excited about a role but don't perfectly align with every requirement, we encourage you to apply. Your unique skills and experiences may be the perfect fit for the job or other opportunities that arise.

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