Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop robust data solutions using Microsoft technologies.
- Company: Leading tech company in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact through data-driven decision-making.
- Qualifications: 3–7 years of Data Engineering experience and strong SQL Server and Power BI skills.
- Other info: Collaborative Agile environment with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company in the United Kingdom is seeking a talented Data Engineer to join a growing team. The role involves designing, developing, and delivering robust data solutions using Microsoft technologies.
Candidates should have 3–7 years of Data Engineering experience, strong analytical skills, and proficiency in SQL Server and Power BI.
This opportunity emphasizes collaboration in an Agile environment, contributing to data-driven decision-making across the business.
Data Platform Engineer – Microsoft Data & BI employer: Intec Select
Contact Detail:
Intec Select Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer – Microsoft Data & BI
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or in similar roles on LinkedIn. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data solutions, especially those using Microsoft technologies. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for Data Engineers, especially around SQL Server and Power BI. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive job openings that you won’t find anywhere else.
We think you need these skills to ace Data Platform Engineer – Microsoft Data & BI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft technologies, especially SQL Server and Power BI. 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 contribute to our team. We love seeing enthusiasm and a good fit for our Agile environment.
Showcase Your Analytical Skills: Since strong analytical skills are key for this role, include examples of how you've used data to drive decisions in your previous roles. We’re looking for real-world applications 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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Intec Select
✨Know Your Tech Inside Out
Make sure you brush up on your SQL Server and Power BI skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical abilities. Think of situations where your insights led to data-driven decisions. This will demonstrate your value in a collaborative, Agile environment.
✨Understand the Company’s Data Needs
Research the company’s current data solutions and challenges. Being able to discuss how you can contribute to their data strategy will show that you're genuinely interested and proactive about the role.
✨Practice Agile Collaboration Scenarios
Since the role emphasises collaboration, be prepared to discuss your experience working in Agile teams. Share examples of how you’ve successfully collaborated with others to deliver data solutions, and be ready to engage in a mock scenario if asked.