Data Engineer: Scalable Pipelines in Azure & Python in London

Data Engineer: Scalable Pipelines in Azure & Python in London

London Full-Time 50000 - 65000 € / year (est.) No home office possible
CGI Group Inc.

At a Glance

  • Tasks: Build and maintain robust data pipelines for a large-scale data platform.
  • Company: Join CGI Group Inc., a leader in tech innovation.
  • Benefits: Enjoy insurance, medical benefits, pension plan, and flexible time off.
  • Other info: Dynamic work environment with opportunities for professional growth.
  • Why this job: Make an impact by ensuring data quality and collaborating with experts.
  • Qualifications: Hands-on experience in Databricks, SQL, and Azure Data Factory required.

The predicted salary is between 50000 - 65000 € per year.

CGI Group Inc. is looking for a skilled data engineer to build and maintain robust data pipelines for an enterprise-scale data platform in Westminster, UK. You will collaborate with architects and analysts to ensure data quality and alignment with architectural standards.

The ideal candidate should possess strong hands-on experience in Databricks, SQL, and Azure Data Factory, and have a proactive mindset.

Employee benefits include insurance, medical and dental benefits, a pension plan, and flexible time off.

Data Engineer: Scalable Pipelines in Azure & Python in London employer: CGI Group Inc.

CGI Group Inc. is an excellent employer that fosters a collaborative work culture in Westminster, UK, where skilled data engineers can thrive. With a strong focus on employee growth, the company offers comprehensive benefits including medical and dental coverage, a pension plan, and flexible time off, ensuring a supportive environment for both personal and professional development.

CGI Group Inc.

Contact Detail:

CGI Group Inc. Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer: Scalable Pipelines in Azure & Python in London

Tip Number 1

Network like a pro! Reach out to current employees at CGI Group Inc. on LinkedIn or other platforms. A friendly chat can give us insider info and might even lead to a referral!

Tip Number 2

Show off your skills! Prepare a mini-project or a portfolio showcasing your experience with Databricks, SQL, and Azure Data Factory. This hands-on evidence can really set us apart during interviews.

Tip Number 3

Practice makes perfect! Get comfortable with common data engineering interview questions. We can even do mock interviews together to boost our confidence and nail that technical round.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our applications and follow up easily if needed.

We think you need these skills to ace Data Engineer: Scalable Pipelines in Azure & Python in London

Data Engineering
Databricks
SQL
Azure Data Factory
Data Pipeline Development
Data Quality Assurance
Collaboration Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Databricks, SQL, and Azure Data Factory. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

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 your proactive mindset can contribute to our team. Let us know what excites you about working with us at CGI Group Inc.

Showcase Your Problem-Solving Skills:In your application, include examples of how you've tackled challenges in building data pipelines. We love seeing candidates who can think on their feet and come up with innovative solutions!

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 CGI Group Inc.

Know Your Tech Stack

Make sure you’re well-versed in Databricks, SQL, and Azure Data Factory. Brush up on your knowledge of these tools and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tech but can also apply it effectively.

Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in building data pipelines and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your proactive mindset and ability to tackle complex issues.

Understand the Company’s Needs

Research CGI Group Inc. and their data platform goals. Be ready to explain how your skills align with their needs and how you can contribute to maintaining data quality and architectural standards. Tailoring your responses to their specific context will make a strong impression.

Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, project timelines, and the technologies they use. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage in a meaningful conversation.