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