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 dataAbility 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.
#J-18808-Ljbffr”, “datePosted”: “2026-05-20”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Experis – ManpowerGroup”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__436998011__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }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 dataAbility 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.
#J-18808-Ljbffr…