

Experis UK
Finance Data Engineering Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Finance Data Engineering Lead, contract length of 6-12 months, £750-£950/day, based in London (hybrid). Requires strong insurance data engineering experience, proficiency in Python/PySpark, and familiarity with Databricks and finance reporting.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
950
-
🗓️ - Date
May 20, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Data Ingestion #Data Engineering #Data Pipeline #PySpark #Python #Datasets #Data Quality #Databricks #Spark (Apache Spark) #Cloud
Role description
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.
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.






