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- Tasks: Engineer scalable data pipelines and transform complex datasets into actionable insights.
- Company: Join CGI, a top-rated employer known for inclusivity and innovation.
- Benefits: Competitive salary, excellent pension, private healthcare, and a share scheme.
- Why this job: Make a real impact by delivering large-scale data products and solutions.
- Qualifications: Strong experience in data engineering, Python, and cloud services.
- Other info: Hybrid role with opportunities for career growth and skill development.
The predicted salary is between 60000 - 80000 £ per year.
Drive measurable change by shaping and delivering large-scale data products and platforms using Palantir Foundry and cloud-native tooling. In this role you’ll engineer scalable pipelines, transform complex datasets into operational decision-making assets, and partner with clients to unlock efficiency and insight across critical programmes. You’ll join multi-disciplinary teams where pragmatic ownership, creative solutioning and strong technical craft translate directly into business outcomes—building reusable patterns, improving observability and accelerating client roadmaps for modern data adoption.
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 position.
Your future duties and responsibilities:
- Design, build and optimise enterprise-scale data pipelines and data products that directly improve client operations and analytics.
- Work across Foundry and cloud ecosystems (or quickly gain Foundry expertise), translating stakeholder needs into maintainable, production-grade solutions while championing quality, observability and reusable engineering patterns.
- Collaborate closely with architects, product owners and analysts to shape roadmaps and deliver measurable outcomes.
Required Qualifications To Be Successful In This Role:
- Strong commercial experience in data engineering, demonstrating the ability to deliver production-grade solutions on modern platforms.
- Comfortable with large datasets, distributed processing and applying software engineering discipline to data products; Foundry experience is highly desirable but strong Python/PySpark engineers who can learn Foundry quickly are encouraged to apply.
Essential Qualifications:
- Extensive experience with Python and PySpark / Apache Spark.
- Proven track record designing and delivering scalable data pipelines and data products.
- Strong SQL and data modelling skills.
- Experience with modern data architectures and cloud data services (AWS, Azure or GCP).
- Familiarity with version control, automated testing and CI/CD for data platforms.
- Experience integrating data from multiple structured and unstructured sources.
- Strong problem-solving ability and experience working in delivery-focused or client-facing environments.
(Desirable) Hands-on Palantir Foundry experience or demonstrable ability to upskill quickly in new platforms.
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.
Senior Data Engineer: Build Scalable Pipelines & Insights in Leeds employer: CGI
Contact Detail:
CGI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Build Scalable Pipelines & Insights in Leeds
✨Tip Number 1
Network like a pro! Reach out to current employees at CGI or in similar roles on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your data engineering projects. Highlight how you've built scalable pipelines and transformed datasets—this will make you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data engineers. Think about how you can relate your experiences to the role at CGI, especially around cloud-native tooling and data products.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our community of experts.
We think you need these skills to ace Senior Data Engineer: Build Scalable Pipelines & Insights in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Engineer. Highlight your experience with Python, PySpark, and any cloud services you've worked with. We want to see how your skills align with building scalable data pipelines and products.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how you can drive measurable change. Share specific examples of past projects that demonstrate your problem-solving skills and ability to deliver production-grade solutions.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical prowess! Include details about your experience with modern data architectures, SQL, and any relevant tools or methodologies. We love seeing candidates who are comfortable with large datasets and distributed processing.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!
How to prepare for a job interview at CGI
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially with Python and PySpark. Be ready to discuss your experience with scalable data pipelines and how you've tackled complex datasets in the past. This role is all about delivering production-grade solutions, so be prepared to showcase your technical craft.
✨Familiarise Yourself with Foundry
While Foundry experience is a bonus, don’t sweat it if you’re not an expert yet. Show your willingness to learn and adapt quickly. Research Palantir Foundry and understand its capabilities—this will demonstrate your proactive approach and eagerness to dive into new tools.
✨Prepare for Problem-Solving Questions
Expect to face some tricky problem-solving scenarios during the interview. Think of examples from your past work where you’ve had to overcome challenges in data integration or pipeline optimisation. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Showcase Your Team Spirit
This role involves collaborating with multi-disciplinary teams, so highlight your teamwork skills. Share experiences where you’ve worked closely with architects, product owners, or analysts to deliver measurable outcomes. Emphasising your ability to communicate and partner effectively will resonate well with the interviewers.