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A leading fintech company is urgently seeking a Senior Data Engineer to work on actuarial and asset management datasets. The role involves building end-to-end data pipelines in Python and SQL, and focuses on large-scale financial data solutions. Candidates must have experience in investment operations, asset management, or insurance, and be skilled in tools such as GCP, DBT, and Databricks. This is a full remote position within the UK for a duration of 6 months rolling.
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.
Rate: D.O.E Outside IR35
Location: Full remote (UK based)
Duration: 6 months rolling
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.