Finance Data Engineering Lead
Posted 1 day ago by Experis UK
£950 Per day
Outside
Hybrid
London, England, United Kingdom
Summary: The Finance Data Engineering Lead will be responsible for developing and deploying finance and actuarial data pipelines within a cloud data environment for a leading insurance organization. This hands-on role involves building data solutions that support reporting, analytics, and reconciliation capabilities. The position requires collaboration with design and architecture teams to ensure aligned solutions are delivered effectively. The role is contract-based, outside IR35, and offers a flexible day rate based on experience.
Key Responsibilities:
- Developing Python / PySpark data pipelines within cloud platforms
- Building datasets and models for finance, actuarial and risk reporting
- Integrating with existing data ingestion and orchestration frameworks
- Supporting reconciliation, validation and data quality processes
- Collaborating with design and architecture teams to deliver aligned solutions
Key Skills:
- Strong experience as a Data Engineer within insurance (essential)
- Proficiency in Python, PySpark and Spark-based processing
- Experience working with Databricks or similar cloud data platforms
- Exposure to finance, actuarial or regulatory reporting data
- Ability to operate within live programme environments and deliver at pace
Salary (Rate): £950 daily
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Finance Data Engineering Lead - Insurance Programme Contract | Outside IR35 | London (Hybrid)
We are working with a leading insurance organisation seeking a Finance Data Engineering Lead to join a major programme at a critical stage of delivery. This is a hands-on role focused on building and delivering data solutions within an established cloud data environment.
The Role
You will play a key role in developing and deploying finance and actuarial data pipelines, supporting reporting, analytics and reconciliation capabilities.
Key Responsibilities Include
- Developing Python / PySpark data pipelines within cloud platforms
- Building datasets and models for finance, actuarial and risk reporting
- Integrating with existing data ingestion and orchestration frameworks
- Supporting reconciliation, validation and data quality processes
- Collaborating with design and architecture teams to deliver aligned solutions
Experience Required
Strong experience as a Data Engineer within insurance (essential)
Proficiency in Python, PySpark and Spark-based processing
Experience working with Databricks or similar cloud data platforms
Exposure to finance, actuarial or regulatory reporting data
Ability to operate within live programme environments and deliver at pace
Engagement Details
Contract: Outside IR35
Day Rate: £750 - £950 (flexible for strong profiles)
Duration: 6-12 months
Location: London (3 days per week onsite)
This role is ideal for someone who enjoys hands-on delivery, working within established environments, and contributing to high-impact programmes.
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