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For Companies At a Glance
- Tasks: Design and deliver innovative data solutions using cutting-edge technologies.
- Company: Join a dynamic team helping businesses unlock their data potential.
- Benefits: Enjoy competitive salary, flexible locations, and a supportive work environment.
- Why this job: Work on high-impact projects with leading organisations and enhance your skills.
- Qualifications: Strong experience in Azure, SQL, Python, and data pipeline development required.
- Other info: Bonus certifications like DP-203 or Fabric Analytics are a plus!
The predicted salary is between 48000 - 60000 £ per year.
£60,000-£75,000 + Benefits
London, Manchester, Birmingham Locations Available
Looking for your next challenge in Data Engineering? We’re seeking talented professionals to help businesses unlock the power of their data using cutting-edge technologies.
Are you passionate about Azure-based data solutions? Do you have expertise in SQL, Python, and modern data platforms? Want to work on high-impact projects with leading organizations?
What You’ll Do:
- Design and deliver data solutions using Fabric, Azure Data Factory, and Synapse
- Work with SQL, Python, Spark, Kafka, Snowflake, and more
- Apply best practices in Data Architecture, Governance, and Engineering
- Collaborate with clients to drive real business impact
- Be part of a supportive, high-performing team
What We’re Looking For:
- Strong data engineering experience in Azure
- Hands-on expertise in SQL, Python, and data pipeline development
- Familiarity with Agile, DevOps, Git, APIs, and Cloud Data Platforms
- A team player with problem-solving skills and a consulting mindset
Bonus: DP-203 or Fabric Analytics certifications are a plus!
Apply today or DM us to learn more!
Data Engineer - Fabric employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Fabric
✨Tip Number 1
Familiarise yourself with Azure Data Factory and Synapse, as these are key technologies for the role. Consider building a small project or case study that showcases your skills in these areas to discuss during interviews.
✨Tip Number 2
Network with current Data Engineers or professionals in similar roles on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights and may even lead to referrals.
✨Tip Number 3
Stay updated on the latest trends and best practices in data engineering, particularly around Azure and SQL. Joining relevant online communities or forums can help you learn from others and demonstrate your commitment to continuous learning.
✨Tip Number 4
Prepare to discuss real-world scenarios where you've applied your problem-solving skills in data engineering. Be ready to share specific examples of how you've collaborated with teams to drive business impact, as this aligns with our consulting mindset.
We think you need these skills to ace Data Engineer - Fabric
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, SQL, and Python. Use specific examples of projects where you've designed data solutions or worked with data pipelines to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the job requirements. Mention any relevant certifications like DP-203 or Fabric Analytics to stand out.
Showcase Relevant Projects: If you have worked on high-impact projects, describe them in your application. Focus on your role, the technologies used (like Spark, Kafka, or Snowflake), and the outcomes achieved to illustrate your capabilities.
Highlight Soft Skills: Don't forget to mention your problem-solving skills and ability to work in a team. These are crucial for a consulting role, so provide examples of how you've collaborated with clients or colleagues to drive business impact.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure, SQL, and Python in detail. Bring examples of projects where you've successfully implemented data solutions using these technologies, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Needs
Research the company and its clients to understand their data challenges. Tailor your responses to show how your skills can help them unlock the power of their data and drive real business impact.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Highlight your consulting mindset and ability to collaborate with clients to find effective solutions.
✨Familiarise Yourself with Agile and DevOps
Since familiarity with Agile and DevOps is important for this role, be ready to discuss your experience working in these environments. Mention any relevant tools or methodologies you've used to enhance team collaboration and project delivery.
