Data Engineer – Data Modelling & Insights
Marsh & McLennan Companies10 days ago
London, United KingdomEntry Level
Responsibilities
- Deliver data and technology solutions from concept through implementation.
- Build, enhance, and maintain data-driven applications, pipelines, and unified data models.
- Improve the quality, structure, accessibility, usability, performance, consistency, and scalability of data.
- Translate requirements from actuaries, analysts, business stakeholders, and technical teams into practical data solutions.
- Review data flows, models, processes, and applications and identify improvement opportunities.
- Help address legacy applications, unstructured data, and decentralized data storage.
- Contribute to data transformation initiatives and the development of a data engineering centre of excellence.
- Explain technical concepts clearly and help stakeholders make informed technology and data decisions.
- Challenge existing approaches constructively and help improve how teams define, manage, and use data.
- Support product- and project-oriented delivery through prioritization, outcome definition, incremental delivery, experimentation, feedback, and continuous improvement.
- Collaborate with engineering teams across Marsh Re and share best practices.
Requirements
- Experience in data engineering, software engineering, analytics engineering, data modelling, or a similar technical role.
- Strong understanding of data structures, data modelling principles, data flows, and data transformation.
- Previous experience writing code and contributing to or reviewing production-quality code.
- Expertise in Python backend frameworks, ideally Django, FastAPI, or Flask.
- Ability to work confidently with technical and non-technical stakeholders.
- Strong communication, collaboration, influencing, and constructive-challenge skills.
- Some experience with product management, project delivery, or product-oriented ways of working.
- Pragmatic problem-solving ability, balancing technical quality, business needs, and delivery timelines.
- Confidence and curiosity to engage in unfamiliar conversations and move discussions forward.
- Willingness to work hands-on while contributing to broader data capabilities and strategy.
- Candidates with a strong technical foundation are welcome even if they do not have extensive experience.
Benefits
- Professional development opportunities, interesting work, and supportive leaders.
- Inclusive and flexible work environment with opportunities to create solutions and have impact.
- Career opportunities, benefits, and rewards supporting employee well-being.
- Full-time position based in Marsh’s London office, with at least three days per week in the local office or onsite with clients.
- Hybrid work providing remote flexibility alongside in-office collaboration, connections, and professional development.
- Reasonable adjustments are available for candidates with disabilities.
Tech Stack
Categories
Data Engineering
About Marsh & McLennan Companies
Marsh McLennan is a global professional services firm providing risk, insurance and reinsurance brokerage, health, wealth, and management consulting to corporations, governments, and nonprofits. It operates through Marsh, Guy Carpenter, Mercer, and Oliver Wyman, earning fees and commissions for advisory, analytics, and placement services. Founded in 1905 and headquartered in New York, it is publicly traded on the NYSE under the ticker MMC.