Data engineer in reinsurance

Marsh; Greater London; Hybrid; GBP 65,000 - 100,000; Full time

Job summary

Marsh is seeking a technically minded Data Engineer to join our growing Data & Insights practice in the UK. You will help deliver data and technology solutions from concept through implementation within a collaborative team.

You will build, maintain, and improve data-driven applications, pipelines and models, translating stakeholder requirements into practical data solutions while addressing legacy and decentralized data storage challenges.

Qualifications

• Experience in data engineering or related technical role.
• Experience with insurance/financial services data context.
• Strong knowledge of data structures and data transformation.
• Ability to write production-quality code in Python.
• Experience communicating with technical and non-technical stakeholders.
• Some experience with product management or project delivery.

Responsibilities

• Deliver data and technology solutions from concept to implementation.
• Build and maintain data-driven applications, pipelines, and unified data models.
• Translate stakeholder requirements into practical data solutions.
• Review and improve data flows, models, and processes for performance and scalability.
• Collaborate across Marsh Re and agile delivery teams; support continuous improvement.

Skills

Python

Django

FastAPI

Flask

Data modelling

Data pipelines

Stakeholder engagement

Product delivery

Communication skills

Job description

Описание:

We are looking for a technically minded and collaborative Data Engineer to join our growing Data & Insights practice within Global Specialties.

Задачи:

Help deliver data and technology solutions from concept through implementation as part of a growing team. Build, enhance, and maintain data-driven applications, pipelines, and unified data models. Apply your data engineering expertise to improve the quality, structure, accessibility, and usability of data. Work with actuaries, analysts, business stakeholders, and technical teams to understand their requirements and translate them into practical data solutions. Review existing data flows, models, processes, and applications, identifying opportunities to improve performance, consistency, and scalability. Help address challenges relating to legacy applications, unstructured data, and decentralized data storage. Contribute to data transformation initiatives and the development of a stronger data engineering centre of excellence. Explain technical concepts clearly and help stakeholders make informed decisions about their data and technology. Challenge existing approaches constructively, helping teams improve the way they define, manage, and use data. Contribute to product- and project-oriented delivery, helping to shape priorities, define outcomes, and deliver value incrementally. Collaborate with and share best practices across engineering teams a Marsh Re. Support an agile delivery culture through experimentation, feedback, frequent releases, and continuous improvement.

Требования:

Experience in a data engineering, software engineering, analytics engineering, data modelling, or similar technical role. Experience working with insurance, reinsurance, broking, actuarial, or other financial services data, with an understanding of the terminology, processes, and business context 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. A pragmatic approach to problem-solving, with the ability to balance technical quality, business needs, and delivery timelines. Some experience of product management, project delivery, or product-oriented ways of working. The confidence and curiosity to walk into an unfamiliar conversation, ask the right questions, and help move the discussion forward. A willingness to work hands-on while also engaging with the wider business and helping shape longer-term data capabilities. We are not necessarily looking for someone with extensive experience. We would welcome applications from candidates who have built a strong technical foundation and are ready to broaden their experience across stakeholder engagement, product delivery, and data strategy.

Будет плюсом:

Experience working with insurance, reinsurance, broking, or specialty market data; An understanding of reinsurance transactions, portfolio management, risk appetite, or insurance purchasing processes; 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; The confidence and curiosity to walk into an unfamiliar conversation, ask the right questions, and help move the discussion forward; A willingness to work hands-on while also engaging with the wider business and helping shape longer-term data capabilities; We are not necessarily looking for someone with extensive experience. We would welcome applications from candidates who have built a strong technical foundation and are ready to broaden their experience across stakeholder engagement, product delivery, and data strategy.

Условия:

We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.