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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 long-term 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 95000 - 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)
- Solid understanding of Medallion Architecture and analytics‑focused data modelling
- Strong domain knowledge across: Lloyd's Syndicates, Delegated Authority, Reinsurance and Ceded Reinsurance, Underwriting, pricing, and claims
- Confident communicator, comfortable working with senior technical and business stakeholders
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: Cyber Security training courses
Contact Detail:
Cyber Security training courses 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 LinkedIn or even your own website.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of the London Market and Medallion Architecture. Be ready to discuss how you've tackled complex data challenges in the past. We want you to shine and show them you’re the perfect fit for their team!
✨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 are proactive and engaged. 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 in the insurance sector. Highlight your experience with Python, PySpark, and cloud platforms like Azure or AWS, as these are key for us.
Showcase Your Projects: Include specific examples of projects where you've designed and built data platforms or pipelines. We love seeing how you've tackled complex challenges, especially in the London Market.
Be Clear and Concise: When writing your cover letter, get straight to the point. We appreciate clarity, so outline your relevant experience and why you're excited about this role without fluff.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Cyber Security training courses
✨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 ideas clearly and concisely. Think about how you can explain your past projects and their impact on the business in a way that resonates with both technical and non-technical audiences.