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- 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 schedule, 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 industry.
- 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 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
✨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 might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to 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 specific to the insurance sector. We recommend practising your answers to technical questions and scenarios that highlight your experience with SQL Server and data workflows.
✨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 and help us advance data initiatives.
We think you need these skills to ace Senior Data Engineer - Azure/Databricks for AI & Data
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: Your cover letter is your chance to shine! Tell us why you're passionate about data engineering and how you can contribute to our team. Keep it relevant to the job description.
Showcase Your Projects: If you've worked on any projects involving Databricks or SQL Server, don’t hold back! We love seeing real-world applications of your skills, so include links or descriptions of your work.
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!
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 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. Being able to discuss how data engineering can address these issues will show that you're not just a tech whiz but also understand the business context.
✨Be Ready for Practical Tests
Expect some hands-on assessments during the interview. Practise common data engineering tasks, like optimising queries or building data pipelines. This will help you feel more confident and showcase your skills effectively.