Senior Data Engineer - Actuarial - Asset Management Data – Investment / Insurance Experience

Orbis Group; Remote; GBP 80,000 - 100,000; Full time

Job summary

A leading fintech company is urgently seeking a Senior Data Engineer to work remotely from the UK. This role involves building end-to-end data pipelines using Python, SQL, and cloud technologies like GCP and Databricks. The ideal candidate will have direct experience in investment or insurance, dealing with financial securities and actuarial outputs. This is a 6-month rolling contract with a negotiable rate outside IR35.

Qualifications

• 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.

Responsibilities

• Work with actuarial and asset management datasets, building end-to-end data pipelines.
• Focus on large-scale financial data, automating processes, and integrating multiple data sources.
• Deliver actionable insights to senior stakeholders.

Skills

Actuarial / Asset Management Data

Python

SQL

GCP (BigQuery)

DBT

Databricks

Job description

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 Skills & Experience

• 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.

Rate: D.O.E Outside IR35

Location: Full remote (UK based)

Duration: 6 months rolling