Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement data platforms using Microsoft Azure and Dynamics 365.
- Company: Join Peaple Talent, a dynamic team on an exciting data journey.
- Benefits: Competitive salary and flexible office work just one day a month.
- Other info: Opportunity to work with cutting-edge cloud-centric architectures.
- Why this job: Be part of a small team making a big impact in data solutions.
- Qualifications: Strong background in data solutions and SQL proficiency required.
The predicted salary is between 40000 - 50000 £ per year.
Peaple Talent is looking for a Data Engineer in Swindon to join a small team on an exciting data journey. This permanent role involves designing and implementing data platforms using Microsoft services such as Azure Data Factory and Dynamics 365.
The candidate should have a strong background in data solutions, SQL proficiency, and experience with cloud-centric architectures.
The position offers a competitive salary and the flexibility of working in the office one day per month.
Data Engineer | Azure, Microsoft Fabric & Dynamics 365 employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer | Azure, Microsoft Fabric & Dynamics 365
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field, especially those working with Azure and Dynamics 365. A friendly chat can open doors and give you insights that might just land you that job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data platforms and cloud architectures. This is your chance to demonstrate your SQL prowess and experience with Microsoft services.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering questions and scenarios. We recommend practising how you'd tackle real-world problems using Azure Data Factory and other tools mentioned in the job description.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer | Azure, Microsoft Fabric & Dynamics 365
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Microsoft Fabric, and Dynamics 365. 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 this Data Engineer position and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your SQL Skills: Since SQL proficiency is key for this role, make sure to mention any specific projects where you’ve used SQL effectively. We love seeing real-world applications of your skills, so don’t hold back!
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Peaple Talent
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Data Factory, Dynamics 365, and any other relevant Microsoft services. Brush up on your SQL skills too, as you’ll likely be asked to demonstrate your proficiency during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've designed or implemented data platforms. Highlight your role, the challenges you faced, and how you overcame them. This will show your practical experience and problem-solving skills.
✨Understand Cloud Architecture
Since the role involves cloud-centric architectures, be ready to explain your understanding of cloud concepts. Discuss how you’ve used cloud technologies in past roles and how they can benefit data solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current data journey and the tools they use. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.