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A leading fintech firm in the UK seeks a Senior Data Engineer to design and implement end-to-end data solutions. The candidate will work with large-scale financial datasets and automate processes. Applicants must have strong experience in investment, asset management, or actuarial operations, specifically through tools like Python, SQL, and cloud platforms such as GCP and Databricks. Join a dynamic team offering a pivotal role in transforming investment analytics.
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.
* 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.