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- Tasks: Design and implement high-quality data solutions using Azure technologies.
- Company: Leading consultancy in Reading with a focus on innovative data platforms.
- Benefits: Flexible hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and work on exciting cloud-based data products.
- Qualifications: Expertise in Azure, Python, SQL, and DevOps required.
- Other info: Collaborative environment with a strong emphasis on innovation.
The predicted salary is between 36000 - 60000 £ per year.
A leading consultancy in Reading seeks a skilled Data Engineer to join their Data Platforms and Solutions Team. This role involves designing high-quality data solutions, primarily using Azure technologies.
The ideal candidate will have strong expertise in Microsoft Azure data technologies, Python, SQL, and DevOps. You will work collaboratively with architects and consultants on cloud-based data products and embrace a hybrid working model offering flexibility in work location.
Azure Data Engineer - Hybrid Cloud Data Solutions employer: FSP
Contact Detail:
FSP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer - Hybrid Cloud Data Solutions
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working with Azure technologies. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects using Azure, 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 designing data solutions, as this will demonstrate your expertise and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Azure Data Engineer - Hybrid Cloud Data Solutions
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure technologies, Python, SQL, and DevOps. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how your background makes you a perfect fit for our Data Platforms and Solutions Team. Keep it engaging and personal!
Showcase Your Collaborative Spirit: Since this role involves working closely with architects and consultants, highlight any teamwork experiences in your application. We love candidates who can demonstrate their ability to collaborate effectively in a hybrid work environment.
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 shows you’re keen on joining our team!
How to prepare for a job interview at FSP
✨Know Your Azure Stuff
Make sure you brush up on your knowledge of Microsoft Azure data technologies. Be ready to discuss specific projects where you've used Azure, and how you tackled challenges. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Show Off Your Coding Skills
Since Python and SQL are key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process behind a previous project. Practising common coding challenges can really help you feel more confident.
✨DevOps is Key
Familiarise yourself with DevOps practices, as they are crucial for this position. Be prepared to discuss how you’ve integrated DevOps into your workflow, and how it has improved your data solutions. This shows you understand the full lifecycle of data engineering.
✨Embrace Collaboration
This role involves working closely with architects and consultants, so highlight your teamwork skills. Think of examples where you’ve successfully collaborated on projects. Showing that you can communicate effectively and work well in a team will set you apart from other candidates.
