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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.
- Other info: Collaborate with industry experts and make a real impact in the insurance domain.
- 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)
- 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: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group 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. We recommend using GitHub or a personal website to display your work. This way, potential employers can see your expertise in action!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Medallion Architecture and the London Market. We suggest practising common interview questions related to data engineering and insurance. The more prepared you are, the more confident you'll feel!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative. So, don’t hesitate – get your application in and let’s make some data magic happen together!
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 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 the job description!
Showcase Your Projects: Include specific projects where you've designed and built data platforms or pipelines. Mention any experience with Medallion Architecture and how you’ve tackled challenges in the insurance domain. This helps us see your hands-on expertise!
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about this role and how your background fits. Share your insights on the London Market and how you can contribute to our transformation programmes. Make it personal and engaging!
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 Tenth Revolution Group
✨Know Your Data Engineering Stuff
Make sure you brush up on your Python and PySpark skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in the context of insurance and the London Market.
✨Understand Medallion Architecture
Familiarise yourself with the Medallion Architecture (Bronze/Silver/Gold) as it's crucial for this role. Be prepared to explain how you've designed or built scalable data platforms using this architecture in your previous roles.
✨Showcase Your Collaboration Skills
This role involves working closely with various stakeholders. Think of examples where you've successfully collaborated with data architects, analysts, or business stakeholders, and be ready to share those stories during the interview.
✨Be Ready for Technical Questions
Expect some technical questions related to cloud platforms like Azure, AWS, or GCP. Brush up on your knowledge of CI/CD pipelines and DevOps practices, as they will likely come up in conversation.