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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, remote work options, and career growth.
- 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: Experience in data engineering, Python, PySpark, and cloud platforms required.
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
Data Engineer SQL - Remote (m/w/d) 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 (m/w/d) 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 and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, PySpark, and cloud platforms. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Medallion Architecture and the London Market. Be ready to discuss how you've tackled complex data challenges in the past.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and genuinely interested in joining our team. It’s a great way to stand out!
We think you need these skills to ace Data Engineer SQL - Remote (m/w/d) 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 with our needs. 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’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 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 London Market insurance sector.
✨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.
✨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. 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. Prepare to discuss how you would approach integrating data from multiple sources or contributing to CI/CD pipelines. Use specific examples from your experience to illustrate your thought process.