Finance Data Engineering Lead
Posted Today by Experis IT
£950 Per day
Outside
Hybrid
London, UK
Summary: The Finance Data Engineering Lead role involves hands-on development and delivery of data solutions within a cloud environment for a leading insurance organization. The position focuses on building finance and actuarial data pipelines to support reporting and analytics. This contract role is outside IR35 and requires collaboration with design and architecture teams. The ideal candidate will thrive in a dynamic environment and contribute to high-impact projects.
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: UK
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 RoleYou 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.
If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
