Overview

Senior Data Engineer - Python - GCP - Databricks - Actuarial and Asset Management Excel Files - Investment/Financial/Insurance Industry Experience

Our client in the financial services space are looking for a Senior Data Engineer with experience in Actuarial and Asset Management Excel Files. As well as a strong background with Python, SQL, GCP and Databricks, working on large-scale, complex datasets and building end-to-end data pipelines in financial services environments, including automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders.

Key Skills

• Actuarial and Asset Management Excel Files
• Investment & Financial domain knowledge: Have worked within the operations team for an asset management department and understands assets data, like financial securities
• SQL: Data manipulation and querying
• Python: Experience in libraries like Pandas and NumPy
• Cloud Platform: Building on GCP using BigQuery
• Familiarity with tools like DBT and Databricks
• Experience with investment-related projects or working in the reinsurance or life insurance domain

Location

Full remote (UK based)

Duration

6 months rolling

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology