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- Tasks: Design and implement modern cloud-based data platforms and build robust data pipelines.
- Company: Join a leading firm transforming the London Insurance Market.
- Benefits: Hybrid work model, competitive salary, and strong career growth opportunities.
- Why this job: Make a real impact on critical transformation initiatives using cutting-edge technology.
- Qualifications: Experience in data engineering and knowledge of the insurance sector required.
- Other info: Collaborate with senior leaders and mentor fellow engineers in a dynamic environment.
The predicted salary is between 70000 - 90000 £ per year.
We are hiring an experienced Senior Data Engineer to join a high-impact transformation programme focused on modernizing data platforms within the London Insurance Market. This is an excellent opportunity to work on cloud-native solutions that power underwriting, pricing, claims, reinsurance, regulatory reporting, and AI-driven analytics. You will play a key role in designing scalable data architectures, building robust pipelines, and partnering with senior stakeholders across business and technology functions.
Location: London, United Kingdom
Working Model: Hybrid
Key Responsibilities
- Design and implement modern cloud-based data platforms using Medallion Architecture.
- Build and optimize batch and real-time data pipelines across underwriting, pricing, claims, reinsurance, and bordereaux data.
- Develop scalable solutions using Python, PySpark, Databricks, and/or Snowflake.
- Integrate data from policy administration systems, claims platforms, broker systems, third-party providers, and market feeds.
- Ensure strong data quality, reconciliation, lineage, governance, and auditability.
- Support analytics, MI, regulatory reporting, and AI use cases.
- Apply AI-assisted engineering tools (Open AI / Claude) to improve delivery productivity.
- Drive engineering best practices including code reviews, CI/CD, Git workflows, and automated testing.
- Mentor engineers and act as a trusted advisor to senior stakeholders.
Required Skills & Experience
- Proven experience as a Senior Data Engineer or Lead Data Engineer.
- Strong background in Insurance, ideally within the London Market ecosystem.
- Deep knowledge of underwriting, claims, delegated authority, pricing, and reinsurance.
- Hands-on expertise in Python, PySpark, Databricks, Snowflake, SQL.
- Experience with Azure, AWS, or GCP.
- Strong understanding of batch/streaming pipelines and data modelling.
- Familiarity with DevOps practices, CI/CD, and Git-based delivery models.
- Excellent communication skills with experience engaging business and technical stakeholders.
Nice to Have
- Experience with bank reporting / bordereaux processing.
- Exposure to GenAI use cases in engineering or analytics.
- Experience leading small engineering teams or workstreams.
Why Join?
- Work on business-critical transformation initiatives.
- Collaborate with senior leaders across Data, Underwriting, Finance, and Actuarial teams.
- Use modern cloud and AI technologies.
- Strong career growth in a specialist market domain.
If you have the right blend of Data Engineering expertise + Insurance domain knowledge, we’d love to hear from you.
Senior Data Engineer in London employer: Axiom Software Solutions Limited
Contact Detail:
Axiom Software Solutions Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even casual coffee chats. The more people you know, the better your chances of landing that Senior Data Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Python, PySpark, or cloud platforms. This will make you stand out when you apply through our website.
✨Tailor Your Approach
When reaching out to potential employers or connections, tailor your message to highlight your relevant experience in the London Insurance Market. Show them you understand their needs and how you can help!
✨Follow Up
After interviews or networking events, don’t forget to follow up! A simple thank-you email can keep you top of mind and show your enthusiasm for the role. We want to see you succeed!
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and the insurance sector. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Python, PySpark, and cloud technologies!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the London Insurance Market and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve building data pipelines or using AI tools. It gives us a glimpse into your hands-on experience.
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’s super easy – just follow the prompts!
How to prepare for a job interview at Axiom Software Solutions Limited
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, PySpark, Databricks, and Snowflake. Brush up on your cloud platform knowledge too, whether it’s Azure, AWS, or GCP, as these will likely come up during technical discussions.
✨Understand the Insurance Landscape
Since this role is within the London Insurance Market, it’s crucial to have a solid grasp of underwriting, claims, and reinsurance processes. Familiarise yourself with industry terminology and current trends to demonstrate your expertise and relevance.
✨Prepare for Scenario-Based Questions
Expect to tackle scenario-based questions that assess your problem-solving skills and technical know-how. Think about past projects where you designed data architectures or optimised pipelines, and be ready to discuss the challenges you faced and how you overcame them.
✨Showcase Your Mentoring Skills
As a Senior Data Engineer, you’ll likely be mentoring others. Be prepared to share examples of how you’ve supported junior engineers or led teams in the past. Highlight your communication skills and how you’ve engaged with both technical and business stakeholders.