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Data Engineer - Reinsurance Data & Insights

Marsh & McLennan Companies

Greater London

On-site

GBP 50,000 - 70,000

Full time

Yesterday
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Job summary

A leading data analytics firm seeks a talented Data Engineer to build data-driven applications and pipelines for better understanding of reinsurance markets. You will work closely with teams in London, Bermuda, New York, Singapore, and Mumbai to ensure data is effectively analyzed and visualized. The ideal candidate will have strong background in analytics and expertise in Python frameworks like Django or Flask. Join a vibrant culture with numerous professional development opportunities and a commitment to diversity.

Benefits

Professional development opportunities
Inclusive culture
Comprehensive benefits

Qualifications

  • Background in Analytics, Data or Software Engineering roles required.
  • Strong communication and collaboration skills needed.
  • Experience with product management and low code frameworks is a plus.

Responsibilities

  • Deliver solutions from concept to implementation.
  • Explore solutions for outdated applications and unstructured data.
  • Collaborate with other engineering teams.

Skills

Analytics knowledge
Python programming
Collaboration skills
Product Management understanding
Problem-solving skills

Tools

Django
Flask
FastAPI
React
Power BI
SQL
Job description

Company: Guy Carpenter

We seek a talented Data Engineer who, working alongside our Lead Data Engineer, will help us build data-driven applications, pipelines, and unified data models to collect, analyse, and visualize data on reinsurance transactions, market trends, and purchasing behaviour.

You will join our Data & Insights practice within Global Specialties. Together, we aim to enhance colleagues’ and clients’ understanding of reinsurance broking markets across London, Bermuda, New York, Singapore, and Mumbai.

Our ambition is to empower colleagues to provide comprehensive advice and assist clients in making well‑informed decisions regarding their reinsurance purchasing, risk appetite, and portfolio management. We embrace agile methodologies, focusing on delivering value through experimentation, frequent deployment, and close collaboration with stakeholders.

We will count on you to:
  • Join a growing team, together we will be responsible for delivering solutions from concept to implementation.
  • Explore solutions for outdated applications, unstructured data, and decentralised file storage.
  • Collaborate and share best practices with other engineering teams at Guy Carpenter and Marsh McLennan.
What you need to have:
  • A background in Analytics, Data or Software Engineering roles.
  • Experience or a good understanding of Product Management.
  • The communication and collaboration skills to work with business, technical, and development teams.
  • Expert knowledge in Python backend frameworks, ideally one of Django, FastAPI, or Flask.
What makes you stand out?
  • Experience with low code front-end frameworks (e.g. Streamlit or Dash)
  • Experience with modern web development frameworks (e.g., React, Angular); familiarity and experience with data analysis and visualisation tools (e.g., Databricks, SQL, Power BI)
  • Excellent problem‑solving and analytical skills.
  • A self‑start approach to your work.
Why join our team:
  • 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.

We are an equal opportunities employer. We are committed to providing reasonable adjustments in accordance with applicable law to any candidate with a disability to allow them to fully participate in the recruitment process. If you have a disability that may require reasonable adjustments, please contact us at reasonableaccommodations@mmc.com.

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