Senior Data Engineer – Python – GCP – Databricks – Actuarial / Asset Management Data – Investment/Financial/Insurance Experience
Posted 5 days ago by Orbis Group
Negotiable
Outside
Remote
United Kingdom
Summary: The role of Senior Data Engineer involves developing end-to-end data pipelines using Python, SQL, and various cloud tools for a fintech company specializing in investment and insurance data solutions. The position requires expertise in handling large-scale financial datasets and delivering insights to senior stakeholders. Candidates must have direct experience in investment, asset management, or insurance operations. The role is fully remote and offers a rolling 6-month contract.
Key Responsibilities:
- Build end-to-end data pipelines using Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks.
- Work with actuarial and asset management datasets.
- Automate processes and integrate multiple data sources.
- Deliver actionable insights to senior stakeholders.
Key Skills:
- Hands-on experience with financial securities, portfolio valuations, or actuarial outputs in investment, reinsurance, or life insurance environments.
- Proficiency in Python and SQL for building analytical pipelines and scalable data solutions.
- Experience with GCP (BigQuery), DBT, and Databricks.
- Prior delivery of projects in investment operations, reinsurance, or actuarial analytics.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
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