At a Glance
- Tasks: Design and implement data solutions using Azure Data Stack and excel in Data Warehousing.
- Company: Join Nigel Frank, a leader in tech recruitment, based in vibrant Leeds.
- Benefits: Competitive salary of £60K to £80K, reflecting your expertise.
- Other info: Office-based role with a dynamic team and growth opportunities.
- Why this job: Be at the forefront of data engineering and make a significant impact.
- Qualifications: Strong background in Data Engineering, Python, and SQL required.
The predicted salary is between 60000 - 80000 € per year.
Nigel Frank is looking for a Data Engineer in Leeds to work with the Azure Data Stack and excel in Data Warehousing. The candidate must have a strong background in Data Engineering, Python, and SQL, and ideally be willing to work in the office 4-5 days a week.
The role offers a competitive salary ranging from £60K to £80K, reflecting industry standards and expertise requirements for this position.
Azure Data Engineer: ADF, Synapse & DWH Expert in Leeds employer: Nigel Frank
Nigel Frank is an excellent employer, offering a dynamic work environment in Leeds where innovation and collaboration thrive. With a strong focus on employee growth, the company provides ample opportunities for professional development and training in cutting-edge technologies like Azure Data Stack. The competitive salary and supportive culture make it an attractive place for Data Engineers seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer: ADF, Synapse & DWH Expert in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Azure Data Stack, Python, and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your experience with ADF, Synapse, and DWH. Practising with a friend can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by recruiters who are looking for talent like yours.
We think you need these skills to ace Azure Data Engineer: ADF, Synapse & DWH Expert in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure Data Stack, Data Warehousing, Python, and SQL. We want to see how your skills match the job description, so don’t hold back on showcasing your relevant projects!
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 makes you a perfect fit for this role. Let us know what excites you about working with our team in Leeds.
Showcase Your Projects:If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from a previous job, we love seeing practical examples of your work with ADF, Synapse, or DWH.
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 don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at Nigel Frank
✨Know Your Azure Stack
Make sure you brush up on your knowledge of the Azure Data Stack, especially ADF and Synapse. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL expertise during the interview. You might be asked to solve a problem or optimise a query on the spot, so practice common SQL challenges beforehand to boost your confidence.
✨Python Proficiency is Key
Since Python is crucial for this role, be prepared to talk about your experience with it. Bring examples of scripts or projects where you've used Python for data engineering tasks, and be ready to explain your thought process.
✨Be Ready for In-Person Dynamics
As the role requires working in the office 4-5 days a week, be prepared to discuss your thoughts on collaboration and teamwork. Highlight any experiences where you've thrived in an office environment, as this will resonate well with the interviewers.
