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Data Engineer - Actuarial - Asset Management Data - Investment/Insurance

Orbis Group

West Carr

On-site

GBP 70,000 - 90,000

Full time

Yesterday
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Job summary

A leading fintech company in the UK is seeking a Senior Data Engineer to develop end-to-end data pipelines for large-scale financial data. The ideal candidate should possess hands-on experience with actuarial data and investment operations, equipped with skills in Python, SQL, and cloud technologies like GCP and Databricks. The role is critical in delivering actionable insights to senior stakeholders in a dynamic environment.

Qualifications

  • Hands-on experience with financial securities and portfolio valuations.
  • Proficiency in building analytical pipelines using Python and SQL.
  • Experience working with GCP, DBT, and Databricks.

Responsibilities

  • Build end-to-end data pipelines in Python, SQL, and GCP tools.
  • Automate processes and integrate multiple data sources for insights.

Skills

Actuarial / Asset Management Data
Python
SQL
GCP (BigQuery)
DBT
Databricks
Job description
Job Overview

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 Qualifications
  • 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.
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