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- Tasks: Design and build a modern Azure-based data platform while automating data ingestion.
- Company: Join a dynamic recruitment business in Wigan with a focus on innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact by supporting analytics through effective data models in a cutting-edge environment.
- Qualifications: Strong experience in data engineering within the Microsoft ecosystem is essential.
- Other info: Flexible working arrangements available for candidates further afield.
The predicted salary is between 36000 - 60000 £ per year.
A recruitment business is seeking a Data Engineer in Wigan to design and build a modern Azure-based data platform. This role involves automating data ingestion, establishing robust data flows, and supporting analytics through effective data models. Ideal candidates should have strong experience in data engineering within a Microsoft ecosystem. The position offers a hybrid work model with three days in the office and two days from home, adaptable for candidates further afield.
Azure Data Engineer — Greenfield Platform (Hybrid) in Wigan employer: Sellick Partnership
Contact Detail:
Sellick Partnership Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer — Greenfield Platform (Hybrid) in Wigan
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering space, especially those working with Azure. 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, especially those involving Azure data platforms. 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. 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 about their job search.
We think you need these skills to ace Azure Data Engineer — Greenfield Platform (Hybrid) in Wigan
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially within the Microsoft ecosystem. We want to see how your skills align with building Azure-based platforms, so don’t hold back on those relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit for designing and automating data flows. Let us know what drives you in the world of data!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's automating data ingestion or creating effective data models, we love seeing real examples of your work that demonstrate your expertise.
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. Plus, it’s super easy!
How to prepare for a job interview at Sellick Partnership
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge before the interview. Familiarise yourself with the latest features and services, especially those related to data engineering. Being able to discuss how you've used Azure in past projects will show your expertise and enthusiasm for the role.
✨Showcase Your Automation Skills
Since the role involves automating data ingestion, be prepared to discuss specific tools and techniques you've used. Bring examples of how you've streamlined processes in previous roles. This will demonstrate your ability to enhance efficiency and your hands-on experience with automation.
✨Prepare for Data Flow Scenarios
Think about different data flow scenarios you might encounter in this role. Be ready to explain how you would establish robust data flows and support analytics. Practising these scenarios can help you articulate your thought process clearly during the interview.
✨Emphasise Your Teamwork Skills
With a hybrid work model, collaboration is key. Be ready to share examples of how you've worked effectively in teams, both in-person and remotely. Highlighting your communication skills and adaptability will show that you're a great fit for their working environment.
