At a Glance
- Tasks: Work with Azure Data Stack and excel in Data Warehousing.
- Company: Nigel Frank, a leader in tech recruitment.
- Benefits: Competitive salary between £60K to £80K and industry-standard perks.
- Other info: Office-based role with opportunities for professional growth.
- Why this job: Join a dynamic team and enhance your skills in data engineering.
- 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 London employer: Nigel Frank
Nigel Frank is an exceptional employer, offering a dynamic work environment in Leeds where innovation and collaboration thrive. With a strong focus on employee growth, we provide ample opportunities for professional development and skill enhancement, particularly in cutting-edge technologies like the Azure Data Stack. Our competitive salary package, combined with a supportive culture that values teamwork and excellence, makes us an attractive choice for those seeking meaningful and rewarding careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer: ADF, Synapse & DWH Expert in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the Azure Data community on LinkedIn or attend local meetups. Building connections can lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Azure Data Stack, Python, and SQL. 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 questions and scenarios. Practice explaining your thought process when solving problems, as this is often just as important as the right answer.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining the team!
We think you need these skills to ace Azure Data Engineer: ADF, Synapse & DWH Expert in London
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. We love seeing enthusiasm and personality!
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 want to see what you've done with Azure Data tools and how you’ve tackled challenges.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you get all the updates. Plus, it shows you’re keen to join our team!
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 and be prepared to answer technical questions that test your understanding.
✨Showcase Your Data Warehousing Skills
Since this role focuses heavily on Data Warehousing, come prepared with examples of your previous work. Discuss specific challenges you faced and how you overcame them, highlighting your problem-solving skills and technical expertise.
✨Brush Up on Python and SQL
Expect to demonstrate your proficiency in Python and SQL during the interview. Practice coding problems or data manipulation tasks beforehand, as you might be asked to solve a real-world scenario on the spot.
✨Be Ready for Office Culture Questions
As the role requires working in the office 4-5 days a week, be prepared to discuss your thoughts on office culture and collaboration. Show enthusiasm for teamwork and how you can contribute positively to the workplace environment.
