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- Tasks: Design and build scalable data infrastructure on Microsoft Azure.
- Company: MBN Solutions, a leader in data engineering.
- Benefits: Competitive salary, flexible working, and opportunities for growth.
- Other info: Collaborative environment with exciting projects and career advancement.
- Why this job: Join us to shape the future of data analytics and make an impact.
- Qualifications: Strong skills in Python, Microsoft Fabric, and Power BI required.
The predicted salary is between 50000 - 70000 £ per year.
MBN Solutions is seeking a Mid Data Engineer in Greater London to design, build, and operate scalable data infrastructure on a Microsoft-based platform. This role merges software engineering with data management, ensuring seamless data flow for analytics.
Responsibilities include:
- Maintaining ETL pipelines
- Optimising data ingestion processes
- Collaborating with business teams
Strong experience in Python, Microsoft Fabric, and Power BI is essential. Join us to play a critical role in our data journey.
Data Engineer — Azure Data Platform & Power BI Expert in London employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer — Azure Data Platform & Power BI Expert in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Microsoft Fabric, and Power BI. This will give potential employers a taste of what you can do and set 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 tackling ETL pipelines and data optimisation challenges. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from candidates who are excited about joining us. Plus, it shows you’re genuinely interested in being part of our data journey.
We think you need these skills to ace Data Engineer — Azure Data Platform & Power BI Expert in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Microsoft Fabric, and Power BI. 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 team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data management or software engineering. We love seeing how you approach problems and find solutions, especially in a collaborative 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 don’t miss out on any important updates from our team!
How to prepare for a job interview at MBN Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Microsoft Fabric, and Power BI. Brush up on your technical skills and be ready to discuss how you've used these tools in past projects. Being able to share specific examples will show that you’re not just familiar with the tech, but that you can apply it effectively.
✨Understand ETL Processes
Since maintaining ETL pipelines is a key responsibility, be prepared to talk about your experience with data ingestion and transformation. Think of a couple of challenges you’ve faced in this area and how you overcame them. This will demonstrate your problem-solving skills and your ability to optimise processes.
✨Collaboration is Key
This role involves working closely with business teams, so highlight your teamwork skills. Prepare examples of how you’ve collaborated with non-technical stakeholders to ensure data solutions meet their needs. Showing that you can bridge the gap between tech and business will set you apart.
✨Show Your Passion for Data
Let your enthusiasm for data shine through during the interview. Talk about any personal projects or continuous learning efforts related to data engineering. This will convey your commitment to the field and your eagerness to contribute to MBN Solutions' data journey.