At a Glance
- Tasks: Design and optimise data pipelines for analytics and reporting in a modern Lakehouse environment.
- Company: Innovative tech company in the insurance sector, focused on data platform capabilities.
- 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 a cutting-edge data platform and tackle meaningful engineering challenges.
- Qualifications: Strong background in data engineering, SQL, Python, and experience with Databricks and Azure.
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 — Databricks Lakehouse on Azure employer: Arthur Recruitment
Join a forward-thinking technology business in the insurance sector that prioritises innovation and employee growth. With a strong engineering culture, you'll have the opportunity to work on cutting-edge data solutions while enjoying a collaborative environment that values your contributions. The company offers excellent benefits, including professional development opportunities and a commitment to long-term project work, making it an ideal place for Data Engineers looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer — Databricks Lakehouse on 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 solutions. Confidence in your skills can make all the difference!
✨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 — Databricks Lakehouse on 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 Lakehouse platform and how your background makes you a perfect fit for our team. Let your personality come through!
Showcase Your Technical Skills:We love seeing hands-on experience, so make sure to mention your SQL and Python skills prominently. If you've worked with CI/CD or DevOps practices, give us the details – we’re keen on those modern approaches!
Apply Through Our Website:Don’t forget to apply 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 serious about joining our innovative team!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Data Engineering Fundamentals
Brush up on your data engineering basics, especially around warehousing, data lakes, and data modelling. Be ready to discuss how these concepts apply to building a modern Databricks Lakehouse environment.
✨Showcase Your Databricks Experience
Prepare to share specific examples of your hands-on experience with Databricks. Highlight any projects where you’ve optimised data processing and transformation, as this will demonstrate your practical skills.
✨Demonstrate Your SQL and Python Skills
Expect technical questions that test your SQL and Python knowledge. Practise writing queries and scripts beforehand, so you can confidently showcase your coding abilities during the interview.
✨Emphasise Collaboration and Teamwork
Since the role involves working in cross-functional teams, be ready to discuss your experiences collaborating with others. Share examples of how you’ve contributed to team success and adapted to different working styles.
