Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise data solutions, develop ETL pipelines, and mentor junior engineers.
- Company: Leading IT consulting firm focused on innovation and teamwork.
- Benefits: Supportive environment, skill development, and opportunities to work on meaningful projects.
- Why this job: Transform data into actionable insights and make a real impact across industries.
- Qualifications: Experience in data engineering and a passion for teamwork and innovation.
- Other info: Great opportunity for career growth in a dynamic field.
The predicted salary is between 28800 - 48000 £ per year.
A leading IT consulting firm is seeking a Data Engineer specializing in MS Fabric. You will design and optimize data solutions that drive decision-making across industries.
Your responsibilities include:
- Developing ETL pipelines
- Ensuring data governance
- Mentoring junior engineers
With a strong emphasis on teamwork and innovation, this role offers a supportive environment to grow your skills and contribute to meaningful projects. Join us in transforming data into actionable insights.
Data Engineer: MS Fabric & Azure Data Platform in Wideopen employer: CGI
Contact Detail:
CGI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: MS Fabric & Azure Data Platform in Wideopen
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. 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 ETL pipelines and data solutions. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge, especially around MS Fabric and Azure Data Platform. Practice common interview questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer: MS Fabric & Azure Data Platform in Wideopen
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with MS Fabric and Azure Data Platform. 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 passionate about data engineering and how you can contribute to our team. We love seeing enthusiasm and a bit of personality!
Showcase Your Team Spirit: Since teamwork is key for us, mention any collaborative projects you've worked on. Highlighting your ability to mentor junior engineers or work in a team will definitely catch our eye!
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. Let’s transform data together!
How to prepare for a job interview at CGI
✨Know Your Tech Inside Out
Make sure you’re well-versed in MS Fabric and the Azure Data Platform. Brush up on your ETL pipeline development skills and be ready to discuss how you've implemented data governance in past projects. The more specific examples you can provide, the better!
✨Showcase Your Team Spirit
Since teamwork is key in this role, prepare to share experiences where you collaborated with others. Think about how you’ve mentored junior engineers or worked on group projects. Highlighting your ability to work well with others will resonate with the interviewers.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical challenges during the interview. Practice explaining your thought process when designing data solutions or optimising existing ones. Being able to articulate your approach to problem-solving will demonstrate your analytical skills.
✨Emphasise Innovation and Growth
This role values innovation, so come prepared with ideas on how to improve data processes or introduce new technologies. Discuss any personal projects or learning experiences that showcase your commitment to growing your skills and contributing to meaningful projects.
