Finance Data Engineering Lead
Posted Today by Experis
£950 Per day
Outside
Hybrid
London
Summary: The Finance Data Engineering Lead will be responsible for developing and deploying finance and actuarial data pipelines within a leading insurance organization. This hands-on role focuses on building data solutions in a cloud environment and requires collaboration with design and architecture teams. The position is critical to the delivery of a major programme at a pivotal stage. The role is contract-based and classified as outside IR35.
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.
If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
