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

Orbis Group; Remote; GBP 100,000 - 125,000; Full time

Job summary

A leading fintech company is urgently seeking a Senior Data Engineer to work on investment and insurance data solutions. This role involves building end-to-end data pipelines with Python, SQL, and cloud technologies. Candidates must have direct experience in financial securities or actuarial outputs. The position is remote and offers a rolling 6-month contract. Strong analytical skills and expertise in tools like GCP and Databricks are essential for success in this role.

Qualifications

• Experience with financial securities and portfolio valuations in investment or insurance environments.
• Proficiency in building analytical pipelines using Python and SQL.
• Familiarity with GCP (BigQuery), DBT, and Databricks.

Responsibilities

• Work with actuarial and asset management datasets to build data pipelines.
• Integrate multiple data sources to automate processes.
• Deliver 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