At a Glance
- Tasks: Design and optimise data pipelines for analytics and reporting in a modern Lakehouse environment.
- Company: Innovative insurtech company focused on building a cutting-edge data platform.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on long-term product development.
- Why this job: Shape the future of data engineering with impactful projects and modern technologies.
- Qualifications: Experience in data engineering, Databricks, Azure, SQL, and Python.
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
- 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 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 influence over the evolution of a cutting-edge data platform. With a strong commitment to employee growth and a culture that values creativity and initiative, this role provides a unique chance to work on impactful projects while enjoying the benefits of a supportive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer – Insurtech - Databricks & Azure
✨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 to connect with potential employers and show them your enthusiasm for data engineering.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and cloud-native architectures. This will give you an edge and demonstrate your hands-on experience to hiring managers.
✨Tip Number 3
Prepare for technical interviews by brushing up on SQL and Python. Practice common data engineering problems and be ready to discuss your approach to building scalable data solutions. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Engineers who are eager to shape modern data platforms. Your next big opportunity could be just a click away!
We think you need these skills to ace Data Engineer – Insurtech - Databricks & Azure
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data engineering fundamentals, especially around Databricks and Azure. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about building a modern data platform and how your background makes you a perfect fit for our team. Let us know what drives you in the data engineering space.
Showcase Your Technical Skills:We love seeing hands-on experience! Be sure to mention your SQL and Python skills, as well as any work you've done with CI/CD or deployment automation. This will help us understand your technical prowess and how you can contribute to our projects.
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 us you’re keen on joining 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 SQL and Python skills, as these will likely come up during the interview. Be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Data Engineering Fundamentals
Prepare to talk about your experience with data warehousing, data lakes, and data modelling. Have specific examples ready that demonstrate your understanding of the full data lifecycle and how you’ve optimised pipelines for analytics and reporting.
✨Collaborative Mindset
Since the role involves working in cross-functional teams, be prepared to discuss how you’ve collaborated with others in previous roles. Highlight any experiences where you contributed to team success or helped solve complex problems together.
✨Emphasise Continuous Learning
If you have any certifications in Databricks or Azure, make sure to mention them. Also, express your enthusiasm for staying updated with modern DevOps practices and CI/CD processes, as this shows your commitment to professional growth in the data engineering field.
