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- Tasks: Design and implement data-processing pipelines using Azure services.
- Company: Leading UK recruitment agency with a focus on innovation.
- Benefits: Competitive daily rate and flexible work schedule.
- Why this job: Join a dynamic team and enhance your skills in data engineering.
- Qualifications: Strong SQL skills and experience with Azure required.
- Other info: Work 1-2 days per week from the Birmingham office.
The predicted salary is between 36000 - 60000 £ per year.
A leading recruitment agency in the UK is seeking an experienced Data Engineer to design and implement data-processing pipelines using Azure services. The successful candidate will manage data storage solutions and ensure data quality across the organization. This role offers a competitive daily rate, with an expectation to work 1-2 days per week from the Birmingham office. Strong SQL skills and experience with Azure are essential for this position.
Azure Data Engineer — Pipelines, Lake & Analytics in Birmingham employer: Sanderson Recruitment
Contact Detail:
Sanderson Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer — Pipelines, Lake & Analytics in Birmingham
✨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 or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Azure and data pipelines. 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 your SQL and Azure knowledge. Practice common interview questions and scenarios that relate to data quality and storage solutions. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Engineers like you. Plus, it’s a great way to ensure your application gets noticed.
We think you need these skills to ace Azure Data Engineer — Pipelines, Lake & Analytics in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure services and SQL skills. We want to see how your background aligns with the role of an Azure Data Engineer, so don’t hold back on 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 your skills can benefit us at StudySmarter. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any data-processing pipelines or analytics projects, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your work!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Sanderson Recruitment
✨Know Your Azure Inside Out
Make sure you brush up on your Azure services knowledge, especially around data-processing pipelines. Familiarise yourself with the latest features and best practices, as this will show your passion and expertise during the interview.
✨SQL Skills on Point
Since strong SQL skills are essential for this role, practice common SQL queries and scenarios that might come up. Be ready to demonstrate your problem-solving abilities with real-world examples of how you've used SQL in past projects.
✨Showcase Data Quality Management
Prepare to discuss how you've ensured data quality in previous roles. Think of specific instances where you identified issues and implemented solutions, as this will highlight your attention to detail and commitment to excellence.
✨Be Ready for Scenario-Based Questions
Expect scenario-based questions that test your practical knowledge. Prepare by thinking through potential challenges you might face as a Data Engineer and how you would tackle them using Azure services. This will demonstrate your critical thinking and adaptability.
