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- Tasks: Design and implement data solutions using Azure technologies to empower businesses.
- Company: Leading consultancy known for innovative data solutions and client collaboration.
- Benefits: Attractive salary, remote work options, and comprehensive benefits package.
- Why this job: Join a dynamic team and make a real difference in data engineering.
- Qualifications: Strong skills in SQL, Python, and experience with modern data platforms.
- Other info: Exciting opportunities for career advancement in a supportive environment.
The predicted salary is between 60000 - 75000 £ per year.
A leading consultancy is seeking a Data Engineer (Consultant / Senior Consultant) in Glasgow to help businesses leverage their data using Azure-based solutions. The ideal candidate will have strong expertise in SQL, Python, and modern data platforms.
Responsibilities include:
- Designing data solutions using Azure Data Factory and Synapse
- Collaborating with clients
- Applying best practices in data engineering
The position offers a salary of £60,000-£75,000 plus benefits, with remote work options available.
Senior Data Engineer: Azure Analytics & Data Solutions in Glasgow employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Azure Analytics & Data Solutions in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects using SQL and Python. This is your chance to demonstrate your expertise in Azure Data Factory and Synapse, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you would solve real-world problems using Azure solutions. We want you to be ready to impress with your practical knowledge!
✨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 about their job search!
We think you need these skills to ace Senior Data Engineer: Azure Analytics & Data Solutions in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and Azure solutions. We want to see how your skills align with the role, so don’t be shy about showcasing 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 you can help businesses leverage their data. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! We love seeing practical examples of your work, especially if they involve Azure Data Factory or Synapse.
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 from us!
How to prepare for a job interview at MBN Solutions
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in relation to Azure Data Factory and Synapse. The more specific examples you can provide, the better!
✨Understand the Consultancy Landscape
Research the consultancy's approach to data engineering and their client base. Knowing how they leverage Azure solutions for businesses will help you tailor your answers and show that you're genuinely interested in their work.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using data solutions. Practice articulating your thought process clearly, as this will demonstrate your analytical skills and ability to collaborate with clients effectively.
✨Showcase Your Collaboration Skills
Since the role involves working closely with clients, be prepared to discuss your experience in team settings. Highlight any instances where you successfully collaborated on data projects, as this will show you can thrive in a consultancy environment.
