Job Description

Job Title: Data Architect - Azure Databricks - Insurance Industry
Location: London - 2 days per week in the office
Salary/Rate: Up to 680 per day inside IR35
Start Date: 12/01/2026
Job Type: Contract - 3 months
Company Introduction
We are seeking a Data Architect to help drive an insurance client's data transformation program. This role combines business leadership with hands-on technical execution, ensuring delivery of scalable insurance data platforms.
Job Responsibilities/Objectives

• Lead data architecture and platform design on Azure Databricks Unity Catalog, ensuring scalability, governance, and performance.
• Develop and optimize data pipelines (dbt, Delta Live Tables, Spark) for actuarial, claims, reference, and other data.
• Design and implement data models for claims (paid, incurred, case reserves, exposures), enabling actuarial reserving, financial reconciliation, and regulatory reporting, with support for incremental vs. cumulative structures.
• Guide and help engineering team and client on best practices: CI/CD, version control, testing, DevOps pipelines.
• Mentor and coordinate data engineers, analysts, and offshore delivery teams.
• Ensure data quality, lineage, and governance across the platform.
• Partner with actuaries and business SMEs to validate models, KPIs, and reporting outputs.
• Drive orchestration & automation (Prefect, Azure DevOps) for reliable production workflows.
• Act as technical escalation point and ensure successful delivery of transformation roadmap.

Required Skills/Experience
The ideal candidate will have the following:

• Strong background in data architecture & engineering on Azure Databricks (Spark, Delta Lake, Unity Catalog).
• Hands-on experience with dbt, Delta Live Tables, Prefect, Azure DevOps CI/CD.
• Knowledge of actuarial data structures (triangles, claims, exposures, reserving).
• Ability to bridge business and technology, working with senior stakeholders.
• Strong leadership, communication, and delivery management skills

Desirable Skills/Experience
Although not essential, the following skills are desired by the client:

• Background in reinsurance or insurance finance.
• Knowledge of actuarial methods and reporting frameworks.
• Experience with advanced analytics/ML for claims and reserving

If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.
Disclaimer
Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.
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