Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Optimise Databricks workflows and enhance SQL Server environments for data initiatives.
- Company: Leading recruitment agency focused on advancing data solutions.
- Benefits: Salary up to £80,000, flexible work, and career growth opportunities.
- Why this job: Join a dynamic team and make an impact in the insurance sector with cutting-edge technology.
- Qualifications: Strong experience in Azure, Databricks, Python, and knowledge of the insurance sector.
- Other info: Permanent position with 2-3 days per week in the Manchester office.
The predicted salary is between 80000 - 80000 £ per year.
A leading recruitment agency is seeking a Senior Data Engineer to advance data initiatives on Azure. The role involves optimizing Databricks workflows and enhancing SQL Server environments.
Candidates need strong experience in Azure, Databricks, and Python, with an emphasis on the insurance sector.
This permanent position offers a salary up to £80,000 per annum and requires 2-3 days per week in the Manchester office.
Senior Data Engineer - Azure/Databricks for AI & Data in Manchester 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 for AI & Data in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure and Databricks. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Azure, Databricks, and Python. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data engineering and the insurance sector. We recommend practising your answers with a friend or using mock interview platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace Senior Data Engineer - Azure/Databricks for AI & Data in Manchester
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, especially in the insurance sector.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this Senior Data Engineer position. Share specific examples of your past work that relate to optimising workflows and enhancing SQL Server environments.
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! We love seeing real-world applications of your skills, especially those that demonstrate your expertise in data engineering and AI.
Apply Through Our Website: For the best chance of getting noticed, make sure you apply through our website. It helps us keep track of your application and ensures it reaches the right people quickly!
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 and Databricks knowledge. Be ready to discuss specific projects where you've optimised workflows or enhanced SQL Server environments. The more detailed examples you can provide, the better!
✨Showcase Your Python Skills
Prepare to demonstrate your Python expertise. Think of scenarios where you've used Python to solve data-related challenges, especially in the insurance sector. If you can share code snippets or explain your thought process, it’ll really impress them.
✨Understand the Insurance Sector
Since this role focuses on the insurance industry, do some research on current trends and challenges in that space. Being able to discuss how data engineering can address these issues will show you're not just a tech whiz but also understand the business context.
✨Be Ready for Scenario-Based Questions
Expect questions that ask how you would handle specific situations related to data engineering. Practice articulating your problem-solving approach and decision-making process. This will help you stand out as a candidate who can think critically under pressure.