At a Glance
- Tasks: Design and optimise data platforms for critical healthcare services using AWS, Databricks, and Python.
- Company: Join CGI, a top-rated employer transforming healthcare through data innovation.
- Benefits: Competitive salary, excellent pension, private healthcare, and a share scheme to become a CGI Partner.
- Other info: Hybrid role in Leeds with a focus on inclusivity and diverse tech talent.
- Why this job: Make a real impact on healthcare outcomes while working with cutting-edge technology.
- Qualifications: Experience in data engineering, cloud solutions, and strong skills in Python and AWS.
The predicted salary is between 60750 - 74250 £ per year.
At CGI, we're helping to transform the future of healthcare through the power of data.
As a Senior Data Engineer, you'll play a pivotal role in designing, building, and optimising data platforms that underpin critical national services.
Working at the heart of our Healthcare team, you'll use your expertise in AWS, Databricks, and Python to deliver high-impact solutions that improve outcomes, enhance decision-making, and drive innovation across the sector.
You'll collaborate with experts who share your passion for problem-solving, ownership, and technical excellence—empowered to shape the data foundations of tomorrow.
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.
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 based in Leeds.
In this role, you will design, build, and maintain data solutions that power some of the UK's most critical healthcare systems.
You'll be part of a collaborative engineering team, transforming how data is captured, processed, and used to drive better patient and operational outcomes.
Your work will combine technical innovation with practical delivery—enabling data accessibility, quality, and security at scale.
You'll take ownership of complex data challenges, partner with architects and analysts to shape technical direction, and continuously refine processes to deliver efficient, sustainable data pipelines.
Design & Build: Develop and optimise data pipelines using Databricks, Apache Spark, and Python.
Create scalable data solutions on AWS leveraging S3, Glue, Lambda, and related services.
Implement ETL processes and data lake/lakehouse architectures that ensure accuracy and reliability.
Collaborate & Advise: Partner with technical and business stakeholders to translate requirements into effective data solutions.
Secure & Govern: Ensure compliance with data governance, NHS standards, and security frameworks.
Drive continuous improvement across data engineering practices and technologies.
To excel in this role, you'll bring strong data engineering expertise and hands-on experience in cloud-based data solutions, ideally within regulated or complex environments such as healthcare.
You'll be confident in both the technical and consultative aspects of data delivery.
Hands-on commercial expertise with Databricks.
Proven experience as a Data Engineer working with large, complex datasets.
Hands-on expertise with Apache Spark, and SQL.
Strong proficiency in Python (Py Spark preferred).
Experience with AWS cloud services including S3, Glue, Lambda, IAM.
Familiarity with ETL design, data modelling, and data lake/lakehouse concepts.
Understanding of data governance and compliance frameworks.
Experience in the healthcare sector or knowledge of NHS data standards (advantageous).#To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement.
Come join our team—one of the largest IT and business consulting services firms in the world.
AWS Data Engineer in Leeds employer: CGI
At CGI, we pride ourselves on being an inclusive employer that fosters a supportive and collaborative work culture. As a Platform Engineer in Glasgow, you'll enjoy competitive benefits including a strong pension scheme, private healthcare, and the opportunity to become a CGI Partner through our share scheme. With a commitment to employee growth and development, you'll have the freedom to innovate and make a meaningful impact while working alongside a diverse community of experts dedicated to shaping the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land AWS 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 CGI!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AWS Data Engineer at CGI.
✨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 CGI.
✨Apply Directly through Our Website
When you find a suitable opening like AWS Data Engineer at CGI, 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 AWS 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 CGI, 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 CGI. 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 CGI
✨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 CGI!
✨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.
