Senior Data Engineer - Actuarial - Asset Management Data - Investment/Insurance Experience

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

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Job Details

Company
Orbis Group
Location
Doncaster, South Yorkshire, UK
Employment Type
Full-time
Posted