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- Tasks: Design and build data pipelines using Microsoft Azure technologies.
- Company: A leading Microsoft-specialist Managed Service Provider in the UK.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Shape a vital function in a dynamic team and work with cutting-edge technology.
- Qualifications: Advanced Python, PySpark skills, strong SQL command, and Azure experience.
The predicted salary is between 36000 - 60000 £ per year.
A Microsoft-specialist Managed Service Provider in the UK is seeking an experienced Azure Data Engineer to join their growing data platform team. You will design, build, and maintain production-grade data pipelines using Microsoft Azure technologies.
Ideal candidates should have:
- Advanced Python and PySpark skills
- Strong SQL command
- Experience with Azure Data Factory and Data Lake
This position offers a unique opportunity to shape a vital function in a collaborative environment.
Azure Data Platform Engineer: ELT Pipelines & AI-Ready Data in Warrington employer: Synextra
Contact Detail:
Synextra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Platform Engineer: ELT Pipelines & AI-Ready Data in Warrington
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your Azure Data Factory and Python prowess. This hands-on evidence can really set us apart during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to ELT pipelines and data engineering. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of your progress and provide support along the way.
We think you need these skills to ace Azure Data Platform Engineer: ELT Pipelines & AI-Ready Data in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure technologies, especially Azure Data Factory and Data Lake. We want to see your advanced Python and PySpark skills shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for our team. Share specific examples of how you've designed and maintained data pipelines in the past, and let your passion for data engineering come through.
Showcase Your Collaborative Spirit: Since we value collaboration, mention any experiences where you worked closely with others to achieve a common goal. This could be in previous roles or projects, so don’t hold back!
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 in our growing data platform team.
How to prepare for a job interview at Synextra
✨Know Your Azure Stuff
Make sure you brush up on your knowledge of Azure Data Factory and Data Lake. Be ready to discuss how you've used these tools in past projects, and think about specific examples where you designed or maintained data pipelines.
✨Show Off Your Python Skills
Since advanced Python and PySpark skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that showcases your understanding of data processing.
✨SQL is Key
Strong SQL command is essential for this role. Brush up on your SQL queries and be prepared to explain how you've used SQL to manipulate and analyse data in previous roles. Think about complex queries you've written and be ready to discuss them.
✨Collaborative Mindset
This position emphasises collaboration, so be ready to talk about your experience working in teams. Share examples of how you've contributed to team projects, resolved conflicts, or helped others succeed. Show that you're not just a tech whiz but also a great team player.