At a Glance
- Tasks: Design and implement data solutions using Azure Data Stack and excel in Data Warehousing.
- Company: Join a leading tech firm in Leeds with a focus on innovation.
- Benefits: Competitive salary between £60K to £80K and opportunities for professional growth.
- Other info: Office-based role with a collaborative team environment.
- 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 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, we provide ample opportunities for professional development and skill enhancement, particularly in cutting-edge technologies like the Azure Data Stack. Our competitive salary package and supportive culture make us an attractive choice for those seeking meaningful and rewarding employment in the data engineering field.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer: ADF, Synapse & DWH Expert
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working with Azure Data Stack. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Data Engineering, 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 interviews by brushing up on common questions related to Data Warehousing and Azure tools. We recommend practising your answers with a friend or even in front of the mirror 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 love seeing candidates who are proactive and eager to join our team.
We think you need these skills to ace Azure Data Engineer: ADF, Synapse & DWH Expert
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 best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
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 scenarios beforehand to feel confident.
✨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 Interaction
As the role requires working in the office 4-5 days a week, show your enthusiasm for collaboration. Prepare to discuss how you thrive in team settings and share examples of successful teamwork in your previous roles.
