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- Tasks: Design and implement cloud-based data platforms and build robust data pipelines.
- Company: Join a leading firm in the London Insurance Market with a focus on innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Make a real impact by modernising data solutions and driving AI-driven analytics.
- Qualifications: Experience in data engineering, Python, and cloud technologies is essential.
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.
Senior Data Engineer 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
✨Tip Number 1
Network like a pro! Reach out to folks in the London Insurance Market on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your cloud-based data platforms and pipelines. We recommend including projects that highlight your experience with Python, PySpark, and Databricks. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of Medallion Architecture and be ready to discuss how you’ve implemented scalable solutions in the past. We suggest practicing common interview questions related to data engineering to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We make it super easy for you to find and apply for roles that match your skills. Plus, it shows you’re genuinely interested in joining our team and contributing to the transformation programme.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with cloud-native solutions, data architectures, and any relevant technologies like Python or Snowflake. We want to see how your skills align with what we're looking for!
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 a perfect fit for our transformation programme. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or implementing AI-driven analytics, we love to see real-world examples of your work. It helps us understand your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you're genuinely interested in joining our team at StudySmarter!
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 knowledge of cloud-native solutions and Medallion Architecture, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed scalable data architectures or built robust data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact on previous projects.
✨Understand the Business Context
Familiarise yourself with the London Insurance Market and how data plays a role in underwriting, pricing, and claims. Being able to connect your technical skills to business outcomes will impress your interviewers and show that you’re not just a techie but also understand the bigger picture.
✨Engage with Stakeholders
Since the role involves partnering with senior stakeholders, practice articulating your ideas clearly and confidently. Prepare questions that demonstrate your interest in collaboration and mentorship, as well as your understanding of engineering best practices like CI/CD and automated testing.