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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 senior stakeholders and contribute to 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)
- 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
Data Engineer - SQL - Remote in London employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - SQL - Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and data engineering space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational chats. 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. If you’ve worked with Medallion Architecture or built data pipelines, make sure to highlight that. A strong portfolio can really set you apart!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with data integration and CI/CD pipelines. Practice common interview questions and think of examples that demonstrate your problem-solving abilities in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role you’re interested in.
We think you need these skills to ace Data Engineer - SQL - Remote in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the 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 engineered pipelines. We love seeing real examples of your work, especially if they relate to the insurance sector or the London Market.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about data engineering and how your background fits the role. Don’t forget to mention your understanding of Medallion Architecture and analytics-focused data modelling.
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 Tenth Revolution Group
✨Know Your Data Engineering Stuff
Make sure you brush up on your knowledge of Python, PySpark, and cloud platforms like Azure or AWS. Be ready to discuss how you've used these technologies in past projects, especially in the context of the insurance industry.
✨Understand Medallion Architecture
Familiarise yourself with the Medallion Architecture (Bronze, Silver, Gold) as it's crucial for this role. Prepare to explain how you've designed and built scalable data platforms using this architecture in your previous roles.
✨Show Off 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. Highlight your communication skills and how you can bridge the gap between technical and non-technical teams.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in data engineering within the insurance sector and how you overcame them. This will show your hands-on experience and domain knowledge.