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Senior Data Engineer


Fintech

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ABOUT THIS ROLE

  • / United Kingdom (Remote)
  • / Contract
  • / D.O.E Outside IR35
REF: 4315359465

Senior Data Engineer – Actuarial / Asset Management Data – Investment/Financial/Insurance Experienc

Our client, an award-winning fintech specialising in investment and insurance data solutions, is urgently seeking a Senior Data Engineer.

You will work with actuarial and asset management datasets, building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks. This role focuses on large-scale financial data, automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders.

Only candidates with direct experience in investment, asset management, or reinsurance/insurance operations handling financial securities or actuarial outputs will be considered.

Key Skills & Experience:

  • Actuarial / Asset Management Data: Hands-on experience with financial securities, portfolio valuations, or actuarial outputs in investment, reinsurance, or life insurance environments.
  • Python & SQL: Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL.
  • Cloud / Tools: Experience with GCP (BigQuery), DBT, and Databricks.
  • Domain Expertise: Prior delivery of projects in investment operations, reinsurance, or actuarial analytics.

Rate: D.O.E 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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