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 seeking a Senior Data Engineer for a full-remote role in the UK. The position involves building data pipelines using Python, SQL, and GCP tools with a strong focus on financial data management in investment and insurance domains. Ideal candidates will have hands-on experience in actuarial and asset management operations. This position is on a rolling 6-month contract, rates depend on experience, ensuring essential flexibility for the right professional.

Qualifications

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

Responsibilities

• Build end-to-end data pipelines in Python, SQL, and cloud tools.
• Automate processes and integrate 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