At a Glance
- Tasks: Engineer scalable data pipelines and transform datasets into actionable insights.
- Company: Join CGI, a top-rated employer known for its inclusive culture.
- Benefits: Enjoy competitive salary, excellent pension, private healthcare, and a share scheme.
- Other info: Hybrid role with opportunities for career growth and training.
- Why this job: Make a real impact on client operations with cutting-edge data solutions.
- Qualifications: Strong experience in data engineering, Python, and cloud services required.
The predicted salary is between 63000 - 77000 £ 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.
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 position.
Candidate Profile
In this role you will design, build and optimise enterprise-scale data pipelines and data products that directly improve client operations and analytics.
You will 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.
You will collaborate closely with architects, product owners and analysts to shape roadmaps and deliver measurable outcomes.
Required Qualifications To Be Successful In This Role
You should have strong commercial experience in data engineering, demonstrating the ability to deliver production-grade solutions on modern platforms.
Candidates will be comfortable with large datasets, distributed processing and applying software engineering discipline to data products; Foundry experience is highly desirable but strong Python/Py Spark engineers who can learn Foundry quickly are encouraged to apply.
- Extensive experience with Python and Py Spark / 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.
Senior Data Engineer in Leeds employer: Free-Work UK
Free-Work UK is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the fast-paced field of cloud technology. Employees benefit from comprehensive professional development opportunities, competitive remuneration, and the chance to work in a highly secure environment that values integrity and excellence. With a focus on employee well-being and a commitment to fostering a supportive team atmosphere, Free-Work UK stands out as a rewarding place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Leeds
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Free-Work UK!
✨Show Off Your Projects
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Free-Work UK.
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When you find a suitable opening like Senior Data Engineer at Free-Work UK, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Free-Work UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Free-Work UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Free-Work UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Free-Work UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
