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- Tasks: Design and build scalable cloud-based data ecosystems while optimising data platforms.
- Company: Join CGI, a leader in tech with a focus on inclusivity and diversity.
- Benefits: Enjoy a competitive salary, private healthcare, and personal growth opportunities.
- Other info: Hybrid role with a dynamic team and excellent career advancement potential.
- Why this job: Make an impact in the tech community while working with cutting-edge cloud technologies.
- Qualifications: Strong experience in data engineering, SQL, Python, and cloud platforms like Azure and AWS.
The predicted salary is between 50000 - 65000 £ per year.
CGI is seeking a Data Platform Engineer to design and build scalable, cloud-based data ecosystems. This hybrid position requires strong experience in data engineering with cloud platforms like Azure and AWS, as well as proficiency in SQL and Python.
Responsibilities include:
- Optimizing data platforms
- Designing ETL pipelines
- Collaborating with clients
Benefits include a competitive salary, private healthcare, and opportunities for personal growth. The role supports inclusivity and diversity within the tech community.
Cloud Data Platform Engineer — Hybrid, Growth & Benefits employer: CGI
Contact Detail:
CGI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Platform Engineer — Hybrid, Growth & Benefits
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with cloud platforms like Azure and AWS. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in SQL and Python. 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 common data engineering questions. Practice explaining your thought process when designing ETL pipelines or optimising data platforms. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to stay updated on new opportunities.
We think you need these skills to ace Cloud Data Platform Engineer — Hybrid, Growth & Benefits
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with cloud platforms like Azure and AWS in your application. We want to see how you've used SQL and Python to tackle real-world problems, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Cloud Data Platform Engineer role. Mention specific projects or experiences that align with designing ETL pipelines and optimising data platforms. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and how you fit into our team.
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!
How to prepare for a job interview at CGI
✨Know Your Cloud Platforms
Make sure you brush up on your knowledge of Azure and AWS. Be ready to discuss specific projects where you've used these platforms, as well as any challenges you faced and how you overcame them.
✨Show Off Your SQL and Python Skills
Prepare to demonstrate your proficiency in SQL and Python during the interview. You might be asked to solve a problem or optimise a query, so practice coding challenges beforehand to keep your skills sharp.
✨Understand ETL Processes
Since designing ETL pipelines is a key responsibility, be prepared to explain your approach to building efficient data workflows. Share examples from your past work that highlight your ability to optimise data platforms.
✨Emphasise Collaboration and Inclusivity
CGI values collaboration and diversity, so be ready to discuss how you've worked with clients and teams in the past. Highlight any experiences that showcase your commitment to inclusivity within tech environments.