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For Companies At a Glance
- Tasks: Lead data engineering initiatives and optimise Databricks workflows in a dynamic Azure environment.
- Company: A leading insurance company focused on innovation and collaboration.
- Benefits: Competitive salary up to £80,000, flexible remote work, and career growth opportunities.
- Why this job: Join a pivotal role driving AI-focused projects and enhancing data solutions.
- Qualifications: Proven experience in Data Engineering with expertise in Azure, Databricks, and Python.
- Other info: Permanent position with a supportive culture promoting diversity and inclusion.
The predicted salary is between 80000 - 80000 £ per year.
Our client, a leading name in the insurance sector, is seeking a Senior Data Engineer to drive the delivery of key data initiatives across their Azure data platform. This role will play a pivotal part in advancing Databricks development, supporting AI-focused projects, and maintaining Legacy SQL Server data warehouse environments.
Key Responsibilities
- Lead and contribute to data engineering initiatives across the Azure ecosystem
- Build, optimise, and maintain Databricks workflows and Python-based data solutions
- Enhance existing SQL Server data warehouses and support strategic migrations
- Collaborate with cross-functional teams to enable AI and analytics-driven outcomes
What We're Looking For
- Proven experience as a Data Engineer
- Strong hands-on expertise in Azure, Databricks, and Python
- Advanced SQL capabilities
- Insurance industry experience is highly desirable, though strong candidates from wider financial services will also be considered
This is a permanent opportunity, offering 2-3 days per week in the Manchester office, with a salary of up to £80,000 per annum. If you feel you have the right skill set, please apply. Successful candidates will be contacted within 2 working days.
Senior Data Engineer - Azure/Databricks employer: William Alexander Recruitment Ltd
Contact Detail:
William Alexander Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Azure/Databricks
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data engineering sectors. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Azure, Databricks, and Python projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you’d tackle challenges related to SQL Server migrations or AI-driven projects. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for talented individuals like you to join our team.
We think you need these skills to ace Senior Data Engineer - Azure/Databricks
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Databricks, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background fits into our client's needs. Let us know what excites you about working in the insurance sector.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex data challenges. We love seeing how you’ve optimised workflows or improved data solutions—this is your moment to impress us!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at William Alexander Recruitment Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Azure, Databricks, and Python skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your SQL Savvy
Since advanced SQL capabilities are a must, prepare to demonstrate your knowledge. Think of examples where you've optimised SQL queries or enhanced data warehouses, and be ready to explain your thought process.
✨Understand the Insurance Sector
While experience in the insurance industry is a bonus, having a solid understanding of its data needs can set you apart. Research common data challenges in insurance and think about how your skills can address them.
✨Collaboration is Key
This role involves working with cross-functional teams, so be prepared to discuss your teamwork experiences. Share examples of how you've collaborated on AI or analytics projects, highlighting your communication skills and adaptability.