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- 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.
- Why this job: Tackle complex data challenges and shape modern data solutions in a dynamic environment.
- Qualifications: Experience as a Senior Data Engineer in Insurance, proficient in Python, PySpark, and cloud platforms.
- Other info: Collaborate with industry experts and influence long-term transformation programmes.
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 employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Insurance
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data engineering sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨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 and Medallion Architecture.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of the London Market and the specific challenges it faces. Be ready to discuss how your experience aligns with the role and how you can contribute to their transformation programmes.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team and helps us get to know you better right from the start.
We think you need these skills to ace Senior Data Engineer - Insurance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. 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.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or working with Medallion Architecture, we love to see real-world applications of your skills.
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’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Jefferson 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 complex technical concepts in simple terms. Show that you can bridge the gap between technical and business discussions, which is crucial for this role.