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Senior Data Engineer – Actuarial / Asset Management Data – Investment/Financial/Insurance Experience. Our client, an award-winning fintech specialising in investment and insurance data solutions, is urgently seeking a Senior Data Engineer.
Job Responsibility:
Work with actuarial and asset management datasets
Building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks
Focus on large-scale financial data, automating processes, integrating multiple data sources
Delivering actionable insights to senior stakeholders
Requirements:
Hands-on experience with financial securities, portfolio valuations, or actuarial outputs in investment, reinsurance, or life insurance environments
Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL
Experience with GCP (BigQuery), DBT, and Databricks
Prior delivery of projects in investment operations, reinsurance, or actuarial analytics
Direct experience in investment, asset management, or reinsurance/insurance operations handling financial securities or actuarial outputs