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- Tasks: Design and deliver high-quality enterprise data solutions using Microsoft technologies.
- Company: Leading data solutions company with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact on data-driven decision-making.
- Qualifications: 10+ years in Data Engineering and strong experience with Microsoft Data Platform.
- Other info: Collaborative environment with a focus on cutting-edge technology.
The predicted salary is between 54000 - 84000 £ per year.
A leading data solutions company is seeking a talented Data Engineer to join their growing team in the United Kingdom. You will design and deliver high-quality enterprise data solutions using Microsoft technologies. The role involves collaborating closely with architects and stakeholders to ensure robust data platforms that support data-driven decision-making.
A minimum of 10 years in Data Engineering and strong experience with Microsoft Data Platform technologies are required.
Senior Data Engineer: Enterprise MS Data Platform employer: Intec Select
Contact Detail:
Intec Select Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Enterprise MS Data Platform
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Microsoft technologies. 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 best projects and experiences with enterprise data solutions. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past roles.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right opportunities that match your skills and experience. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior Data Engineer: Enterprise MS Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Data Platform technologies. We want to see how your skills align with the role, so don’t be shy about showcasing your 10+ years in Data Engineering!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our team and how you can contribute to designing robust data platforms. Keep it engaging and relevant to the job description.
Showcase Your Collaboration Skills: Since this role involves working closely with architects and stakeholders, make sure to mention any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action!
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 from our team!
How to prepare for a job interview at Intec Select
✨Know Your Microsoft Data Platform
Make sure you brush up on your knowledge of Microsoft Data Platform technologies. Be ready to discuss specific tools and frameworks you've used, and how they contributed to successful data solutions in your previous roles.
✨Showcase Your Collaboration Skills
Since the role involves working closely with architects and stakeholders, prepare examples that highlight your teamwork and communication skills. Think of situations where you successfully collaborated to deliver a project or solve a problem.
✨Prepare for Technical Questions
Expect technical questions that assess your expertise in data engineering. Review common data engineering concepts and be prepared to solve problems on the spot. Practising with real-world scenarios can help you feel more confident.
✨Demonstrate Your Problem-Solving Approach
Be ready to discuss your approach to data-driven decision-making. Share examples of how you've tackled complex data challenges in the past, focusing on your analytical thinking and the impact of your solutions.
