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- Tasks: Build data-driven applications and pipelines to analyse reinsurance transactions and market trends.
- Company: Join Guy Carpenter, a leader in reinsurance data and insights.
- Benefits: Professional development, inclusive culture, and diverse career opportunities.
- Why this job: Make an impact by empowering clients with data-driven insights in a dynamic environment.
- Qualifications: Experience in Analytics or Data Engineering, with strong Python skills.
- Other info: Collaborate with talented teams and embrace agile methodologies for innovative solutions.
The predicted salary is between 36000 - 60000 £ per year.
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- Explore solutions for outdated applications, unstructured data, and decentralised file storage.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.
Data Engineer - Reinsurance Data & Insights employer: Marsh & McLennan Companies
Contact Detail:
Marsh & McLennan Companies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Reinsurance Data & Insights
✨Tip Number 1
Network like a pro! Reach out to current employees at Guy Carpenter on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your data engineering prowess, especially with Python frameworks. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data engineering and analytics. Mock interviews with friends or using online platforms can boost your confidence and help you articulate your thoughts clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at Guy Carpenter. Don’t miss out on this opportunity!
We think you need these skills to ace Data Engineer - Reinsurance Data & Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Engineer role. Highlight your background in Analytics, Data, or Software Engineering, and don’t forget to mention your Python expertise!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about reinsurance data and how your experience can help us enhance our Data & Insights practice. Be genuine and let your personality shine through!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love seeing candidates who can think critically and come up with innovative solutions!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Marsh & McLennan Companies
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially around Python backend frameworks like Django, FastAPI, or Flask. Be ready to discuss how you've used these technologies in past projects and how they can be applied to reinsurance data.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges. Think about times when you explored solutions for outdated applications or unstructured data, and be ready to explain your thought process and the outcomes.
✨Communicate Effectively
Since collaboration is key at Guy Carpenter, practice articulating your ideas clearly. Be prepared to discuss how you've worked with both technical and non-technical teams in the past, and how you can bridge the gap between them.
✨Familiarise Yourself with Agile Methodologies
Understand the principles of agile methodologies and be ready to discuss how you've applied them in your previous roles. Highlight any experience you have with frequent deployment and experimentation, as this aligns with their focus on delivering value.
