Data & Platform Engineering Consultant – Insurance Exposure Data

Day Rate 750-1000 Euro, 700-850 UK Sterling
Remote, part time, two days per week over two months
We are flexible around existing work engagements.
3-month contract, likely to extend up to 12 months
An independent consultancy advising insurers and reinsurers on risk, actuarial, data and transformation. We're looking for an experienced data and platform engineering consultant to be the technical lead on a strategic data engagement for a major UK insurer (Global top three)
The role
The engagement starts with a short blueprint sprint for a central exposure data asset. That asset supports reinsurance, accumulation management, portfolio steering and regulatory reporting. You'll work alongside our actuarial and operating-model leads, and you'll own the technical side of the proposed solution.
What you'll do
Assess the current data landscape: source systems, vendor feeds, pipelines, datasets and consuming applications.
Design a target data architecture and an exposure data model/taxonomy on a modern lakehouse platform (Databricks).
Shape integration patterns for legacy policy platforms (including COBOL cores) that don't support real-time access and make them survive a future core replacement.
Set out options for address standardisation, geocoding and base address providers.
Outline how external peril models and datasets (flood, subsidence and wider perils) are enabled on the platform, including real-time spatial queries at point of quote.
Define vendor-agnostic API approaches so exposure data can be consumed by any downstream system.
Lead technical workshops with client data, IT and business teams, and translate findings for C-suite audiences.
Contribute to phased 6/12/18-month roadmaps, data governance and data-quality frameworks.
What you'll bring
10+ years in data engineering, data architecture or platform engineering, including senior or lead roles.
Hands-on depth in Databricks (Delta Lake, Unity Catalog, Spark) and cloud data platforms (AWS or Azure).
A track record of integrating with legacy core systems and designing API/integration layers.
Experience in insurance or reinsurance, ideally with exposure, catastrophe or accumulation data. Familiarity with standards such as OED/ACORD is a plus.
Working knowledge of geospatial data and geocoding, and of UK address data (e.g. AddressBase, PAF).
Exposure to peril models and data providers (e.g. JBA, Environment Agency, BGS) is highly desirable.
An understanding of the regulatory backdrop: PRA expectations on climate and data governance, Solvency II reporting.
Consulting-grade communication: you can run a workshop, write the board slide, and defend the architecture.
Contract details
Initial 3-month contract, with a strong likelihood of extension up to 12 months.
Fully remote. You must be based in, and able to work, European time zones.
One potential trip to client site for three working days during the entire project.
Start date: 8th October 2026

Work arrangement
Yes