Data Engineer - Data Modelling & Insights

London, England, GBFull-time2026-11-03 → 2026-11-10

Hybrid

Core

Build, enhance, and maintain data-driven applications, pipelines, and unified data models for reinsurance transactions, market trends, and purchasing behaviour.

Role type

Data Engineer (Data Modelling & Insights)

Builds

Data-driven applications, pipelines, and unified data models

Domain

Reinsurance / Financial Services

Deliverable

production ML models

Required skills

Python backend frameworks (Django, FastAPI, Flask), data modelling, data transformation, data structures, code review, stakeholder engagement

Preferred skills

Insurance/reinsurance domain knowledge, product management experience, agile delivery

Technologies

Python, Django, FastAPI, Flask

Responsibilities

Build and maintain data pipelines and unified data models; improve data quality, structure, and accessibility; collaborate with actuaries and business stakeholders to translate requirements into solutions; review existing data flows for performance and scalability; contribute to data transformation initiatives and the Centre of Excellence.

Seniority

Mid-Senior, hands-on IC

About Marsh McLennan

Marsh Risk is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Marsh Risk, visit marsh.com, or follow us on LinkedIn and X. Marsh is committed to creating a diverse, inclusive and flexible work environment.