At a Glance
- Tasks: Design and implement data pipelines while collaborating with cross-functional teams.
- Company: CGI is a leading IT and business consulting firm, recognised as one of the best places to work.
- Benefits: Enjoy competitive salary, private healthcare, pension scheme, and flexible working options.
- Why this job: Be part of a diverse community driving digital transformation and innovation across industries.
- Qualifications: Proficiency in Python, SQL, and cloud technologies; experience in data engineering is essential.
- Other info: Join a supportive environment that values ownership, teamwork, and personal growth.
The predicted salary is between 32000 - 48000 £ per year.
Position Description
At CGI, we help organisations turn complex data into powerful, trusted platforms that enable smarter decisions and lasting impact. As a Senior Data Engineer, you’ll be instrumental in designing, building, and evolving a large-scale data platform that underpins critical business outcomes. Working within a collaborative DevOps environment, you’ll deliver resilient, scalable data solutions while shaping best practice and driving continuous improvement. You’ll be encouraged to take ownership of your work, explore creative approaches to data engineering challenges, and grow your career within a supportive culture that values collaboration, innovation, and real-world impact.
CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK ‘Best Employer’ by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you’ll be part of an open, friendly community of experts. We’ll train and support you in taking your career wherever you want it to go.
Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid role offering flexibility to balance on-site collaboration and remote working. You’ll primarily work from home or your local CGI office, with occasional travel to client workshops or team sessions at key locations such as Birmingham, London, Manchester, or Leeds.
Future duties and 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 to raise capability across the data engineering function.
Required Qualifications To Be Successful In This Role
- Strong hands‑on data engineering experience, a proactive mindset, and the ability to work collaboratively within agile teams.
- 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.
Together, as owners, let’s turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because you are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well‑being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team—one of the largest IT and business consulting services firms in the world.
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Senior Data Engineer employer: CGI
Contact Detail:
CGI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific cloud technologies mentioned in the job description, such as GCP, AWS, and Azure. Having hands-on experience or even personal projects showcasing your skills with these platforms can set you apart during discussions.
✨Tip Number 2
Network with current or former employees of CGI on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can help you tailor your approach when you apply.
✨Tip Number 3
Prepare to discuss your experience with data pipeline management tools like Talend or AWS Glue. Be ready to share specific examples of how you've used these tools to solve problems or improve processes in previous roles.
✨Tip Number 4
Showcase your ability to work within Agile teams by discussing any relevant experiences during interviews. Highlighting your collaborative skills and adaptability will resonate well with CGI's emphasis on teamwork and innovation.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with cloud technologies and data pipeline design. Use keywords from the job description to ensure it aligns with what CGI is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of CGI's mission. Mention specific projects or experiences that demonstrate your skills in building and optimising data pipelines.
Showcase Technical Skills: In your application, clearly list your proficiency in programming languages like Python and SQL, as well as your experience with cloud platforms such as AWS or Azure. Highlight any tools you’ve used that are mentioned in the job description.
Prepare for Potential Questions: Think about how you would answer questions related to your experience with Agile development, data warehousing, and CI/CD pipelines. Be ready to discuss specific examples that illustrate your problem-solving abilities and technical expertise.
How to prepare for a job interview at CGI
✨Showcase Your Technical Skills
As a Senior Data Engineer, you'll need to demonstrate your proficiency in languages like Python and SQL. Be prepared to discuss specific projects where you've designed and implemented data pipelines, and highlight your experience with cloud platforms such as AWS or GCP.
✨Understand the Company Culture
CGI values inclusivity and teamwork. Research their company culture and be ready to discuss how you can contribute to their diverse community. Mention any experiences that align with their values of ownership and collaboration.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles, particularly in data engineering, and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Inquire about the team's current projects, the technologies they use, or how they measure success in data engineering initiatives. This shows your genuine interest in the role and the company.