Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build scalable cloud-based data platforms for the insurance sector.
- Company: Leading London Market insurance organisation with a focus on innovation.
- Benefits: Competitive salary up to £95k, hybrid work model, and career growth opportunities.
- Other info: Collaborate with industry experts and influence key transformation programmes.
- Why this job: Tackle complex data challenges and shape modern data solutions in a dynamic environment.
- Qualifications: Strong experience in data engineering, Python, PySpark, and cloud platforms.
The predicted salary is between 90000 - 95000 £ per year.
A London Market insurance organisation is seeking a Senior Data Engineer to design, build, and lead modern data engineering solutions across underwriting, pricing, claims, and reinsurance domains. This is a hands‑on senior role combining deep insurance domain knowledge with cloud‑native data engineering, delivered within complex and regulated environments.
Key Responsibilities
- Design and build scalable cloud‑based data platforms using Medallion Architecture (Bronze / Silver / Gold)
- Engineer pipelines using Python and PySpark on platforms such as Databricks
- Ingest and integrate data from multiple sources including policy, claims, broker, and third‑party systems
- Contribute to CI/CD pipelines and modern DevOps delivery approaches
- Collaborate closely with data architects, modellers, analysts and business stakeholders
Required Experience
- Strong experience as a Senior Data Engineer within Insurance, ideally the London Market
- Proven hands‑on expertise in:
- Python & PySpark
- Databricks
- Cloud platforms (Azure, AWS, or GCP)
- Lloyd's Syndicates
- Delegated Authority
- Reinsurance and Ceded Reinsurance
- Underwriting, pricing, and claims
Why Apply?
- Senior, hands‑on role working on complex London Market data challenges
- Opportunity to shape and scale modern cloud data platforms
- Long‑term transformation programmes with strong stakeholder visibility
Senior Data Engineer - Insurance in London employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Insurance in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data engineering fields. Attend industry events or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, PySpark, and cloud platforms. This is your chance to demonstrate your expertise in building scalable data solutions. We recommend sharing this on platforms like GitHub or even your LinkedIn profile.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of the London Market and Medallion Architecture. We suggest practising common interview questions related to data engineering and insurance. The more confident you are, the better you’ll perform!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us. Let’s get you that Senior Data Engineer role!
We think you need these skills to ace Senior Data Engineer - Insurance in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Engineer. Highlight your experience with Python, PySpark, and cloud platforms like Azure or AWS. We want to see how your skills align with our needs in the insurance sector!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering in the insurance industry. Share specific examples of your past work that relate to underwriting, pricing, or claims – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Include links or descriptions of your work with Medallion Architecture or CI/CD pipelines. We’re keen to see how you’ve tackled complex data challenges in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Nigel Frank
✨Know Your Data Engineering Stuff
Make sure you brush up on your Python and PySpark skills, as well as your understanding of Medallion Architecture. Be ready to discuss how you've designed and built scalable cloud-based data platforms in the past, especially in the insurance sector.
✨Show Off Your Domain Knowledge
Familiarise yourself with key concepts in the London Market, like Lloyd's Syndicates and reinsurance. Being able to speak confidently about underwriting, pricing, and claims will show that you understand the industry and can hit the ground running.
✨Prepare for Technical Questions
Expect some hands-on technical questions or even a coding challenge. Practise solving problems using Databricks and integrating data from various sources. This will help you demonstrate your practical skills and problem-solving abilities.
✨Communicate Effectively
Since you'll be working closely with senior stakeholders, practice articulating your thoughts clearly. Prepare examples of how you've collaborated with data architects and analysts in the past, and be ready to discuss how you can contribute to CI/CD pipelines and DevOps practices.