Data Engineer – Data Modelling & Insights

Role Overview

The Data Engineer will play a central role in improving how Marsh collects, structures, manages, and uses data across the global reinsurance market. The role will suit someone with a background in data engineering, software engineering, analytics, or a related technical discipline.

What You Will Do

The Data Engineer will help develop data-driven applications, pipelines, and unified data models covering reinsurance transactions, market trends, and purchasing behaviour. They will work with actuaries, analysts, business leaders, and technical teams to understand how they work with data, identify opportunities for improvement, and help shape more effective data models and solutions.

Why It Might Be a Fit

The successful candidate will have experience in a data engineering, software engineering, analytics engineering, data modelling, or similar technical role. They will have a strong understanding of data structures, data modelling principles, data flows, and data transformation. They will be able to work confidently with both technical and non-technical stakeholders and have strong communication and collaboration skills.

Requirements

• Experience in a data engineering, software engineering, analytics engineering, data modelling, or similar technical role.
• A strong understanding of data structures, data modelling principles, data flows, and data transformation.
• Previous experience writing code, with the ability to understand, review, and contribute to production-quality code.
• Expertise in Python backend frameworks, ideally Django, FastAPI, or Flask.
• The ability to work confidently with both technical and non-technical stakeholders.
• Strong communication and collaboration skills, including the confidence to explain, challenge, and influence.
• Some experience of product management, project delivery, or product-oriented ways of working.