At a Glance
- Tasks: Design and optimise data pipelines for analytics and reporting in a modern Lakehouse environment.
- Company: Innovative insurtech company investing in cutting-edge data platform capabilities.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative culture with exposure to meaningful data challenges at scale.
- Why this job: Shape the future of data engineering with real influence on platform evolution.
- Qualifications: Strong background in data engineering, Databricks, Azure SQL, SQL, and Python skills.
The predicted salary is between 60000 - 80000 £ per year.
We’re partnering with a highly innovative technology business within the insurance space that is continuing to invest heavily in its data platform capability. They’re looking for a Data Engineer to play a key role in the development and evolution of a modern Databricks-based Lakehouse environment, helping shape how data is engineered, governed, and consumed across the organisation.
The opportunity
You’ll be working across the full data lifecycle, designing and optimising pipelines that support analytics, reporting, and wider business decision-making. Alongside hands-on engineering, you’ll contribute to the ongoing development of a scalable cloud-native data architecture, helping ensure data is reliable, accessible, and built for long-term growth.
What they’re looking for
- Core experience
- Strong background in data engineering fundamentals, including warehousing, data lakes, and data modelling
- Hands-on experience with Databricks for scalable data processing and transformation
- Experience with Azure SQL or similar cloud-native data storage technologies
- Strong SQL and Python skills
- Comfortable working in collaborative, cross-functional engineering teams
- Nice to have
- Databricks and/or Azure data engineering certifications
- dbt
- Experience with CI/CD, deployment automation, or modern DevOps practices within data environments
Why this role stands out
- Opportunity to help shape a modern Lakehouse platform, not maintain legacy infrastructure
- Exposure to meaningful, business-critical data engineering challenges at scale
- Strong engineering culture with modern tooling and best practices
- Real influence over platform evolution, standards, and architecture
- Long-term product and platform development, not short-term project work
If you're a Data Engineer who enjoys building scalable platforms in modern cloud environments and wants genuine ownership in what you're creating, this is worth a conversation.
Data Engineer – Insurtech - Databricks & Azure in London employer: Arthur Recruitment
Join a forward-thinking technology business in the insurtech sector, where innovation meets opportunity. As a Data Engineer, you'll thrive in a collaborative environment that prioritises modern engineering practices and offers significant growth potential. With a focus on building a cutting-edge data platform, you'll have the chance to influence key architectural decisions while enjoying a supportive culture that values your contributions and fosters professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer – Insurtech - Databricks & Azure in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working with Databricks and Azure. Attend meetups or webinars, and don’t be shy about asking for informational interviews. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving data lakes and cloud-native architectures. Share it on platforms like GitHub or even your LinkedIn profile to catch the eye of potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Python skills. Practice common data engineering problems and be ready to discuss your experience with CI/CD and deployment automation. Confidence in your technical abilities can really set you apart!
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented Data Engineers who are passionate about building modern data platforms. Don’t miss out on the chance to join a team that values innovation and collaboration!
We think you need these skills to ace Data Engineer – Insurtech - Databricks & Azure in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your hands-on experience with Databricks and Azure, and don’t forget to showcase your SQL and Python skills!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about data engineering and how you can contribute to building a modern Lakehouse platform. Be specific about your past projects and how they relate to the role.
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to mention them. We love seeing practical examples of your work, especially those involving data pipelines and cloud-native architectures.
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 this exciting opportunity in our innovative team!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks and Azure. Brush up on your knowledge of data lakes, warehousing, and data modelling. Being able to discuss how you've used these technologies in past projects will show that you're not just familiar with them, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Think about times when you optimised pipelines or improved data accessibility. This will demonstrate your hands-on experience and ability to contribute to the team’s goals.
✨Collaborate and Communicate
Since this role involves working in cross-functional teams, be ready to talk about your experience collaborating with others. Highlight any projects where you worked closely with different departments, as this shows you can communicate effectively and work towards common objectives.
✨Certifications and Continuous Learning
If you have any relevant certifications, like those for Databricks or Azure, make sure to mention them. Even if you don’t, express your commitment to continuous learning and staying updated with industry trends. This shows that you’re proactive and dedicated to your professional growth.
