At a Glance
- Tasks: Build and maintain scalable data pipelines using Databricks, Azure Data Factory, and Python.
- Company: Join a forward-thinking company focused on data engineering excellence.
- Benefits: Enjoy flexible time off, health benefits, and a supportive work environment.
- Other info: Opportunity for professional growth and mentoring within a dynamic team.
- Why this job: Make a real impact by shaping data solutions and collaborating with talented teams.
- Qualifications: Strong experience in data engineering, Databricks, SQL, and Azure platforms required.
The predicted salary is between 50000 - 65000 € per year.
In this role, you will play a key part in building and maintaining robust data pipelines that support a modern, enterprise-scale data platform. You'll work closely with architects, analysts, and client stakeholders to ensure data is reliable, accessible, and aligned to architectural standards. You'll be trusted to take ownership of engineering outcomes, contribute ideas to improve platform performance and resilience, and help shape a positive, collaborative engineering culture.
Responsibilities
- Build & Deliver: Design, develop, and maintain scalable data pipelines using Databricks, Azure Data Factory, and Python.
- Ensure Quality: Maintain data quality, consistency, and lineage across ingestion, transformation, and delivery layers.
- Orchestrate & Monitor: Implement orchestration, scheduling, and monitoring to ensure reliable data operations.
- Collaborate & Align: Work with Data Architects and Analysts to align pipelines with data models and target architecture.
- Troubleshoot & Optimise: Resolve data issues across development and production environments to maintain platform stability.
- Document & Share: Maintain clear technical documentation and contribute to shared engineering knowledge.
- Support & Mentor: Coach and support team members, helping raise capability across the data engineering function.
To be successful, you will bring strong hands-on data engineering experience, a proactive mindset, and the ability to work collaboratively within agile teams. You should be comfortable taking ownership of data solutions, continuously improving them, and supporting others to succeed.
Qualifications
- Strong experience with Databricks, SQL, Azure Data Factory, and Python.
- Experience working within Azure-based data platforms.
- Proven background in building and maintaining scalable data pipelines.
- Experience with Azure DevOps and agile delivery practices.
- Solid understanding of data modelling and data architecture principles.
- Strong problem-solving, communication, and collaboration skills.
- Experience with CI/CD, version control, and DevOps practices for data.
- Desirable: Azure Synapse, Blob Storage, data quality/testing tooling, Git, or triplestore technologies.
Benefits
- Insurance coverage
- Medical benefits
- Pension plan
- Member Assistant Programme
- Check4Cancer
- Flexible time off
- Share Purchase Plan
- Member discounts
- Dental benefits
- Vision benefits
- Profit Participation Plan
- Health and Wellbeing Programme
Data Engineer in London employer: CGI Group Inc.
As a Data Engineer at our company, you will thrive in a dynamic and supportive environment that prioritises collaboration and innovation. We offer comprehensive benefits including medical coverage, a pension plan, and flexible time off, ensuring a healthy work-life balance. Our commitment to employee growth is evident through mentoring opportunities and a culture that encourages continuous learning, making us an exceptional employer for those seeking meaningful and rewarding careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks, Azure Data Factory, and Python. 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 troubleshooting or optimising data pipelines, as this will demonstrate your problem-solving skills.
✨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 gives you a chance to showcase your enthusiasm for the role right from the start.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks, Azure Data Factory, and Python. 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 collaborative culture. Let us know how you’ve taken ownership of projects in the past.
Showcase Problem-Solving Skills:In your application, highlight specific examples where you've tackled data issues or optimised processes. We love seeing how you approach challenges and improve platform performance, so share those success stories!
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 – just follow the prompts!
How to prepare for a job interview at CGI Group Inc.
✨Know Your Tech Stack
Make sure you brush up on Databricks, Azure Data Factory, and Python before the interview. Be ready to discuss your hands-on experience with these tools and how you've used them to build scalable data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data issues in the past. Think about specific challenges you've faced in development or production environments and how you resolved them. This will demonstrate your ability to troubleshoot effectively.
✨Collaborate Like a Pro
Since this role involves working closely with architects and analysts, be prepared to talk about your collaborative experiences. Share instances where you aligned your work with others to achieve common goals, highlighting your communication skills.
✨Document Your Success
Emphasise the importance of clear technical documentation in your previous roles. Discuss how you've maintained documentation and contributed to shared knowledge within your team, showcasing your commitment to a positive engineering culture.
