At CGI, we’re helping to transform the future of healthcare through the power of data. As a 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 AWS, Databricks, and Python to deliver high-impact solutions that improve outcomes, enhance decision‑making, and drive innovation across the sector.
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). 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. This is a hybrid position based in Leeds. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance.
Candidate Profile
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. Working within CGI’s supportive environment, you’ll be encouraged to explore new technologies, share knowledge, and contribute to a culture of excellence and innovation.
Key Responsibilities
* Design & build scalable data pipelines using Databricks, Apache Spark, and Python.
* Create and maintain 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.
* Partner with technical and business stakeholders to translate requirements into effective data solutions.
* Ensure compliance with data governance, NHS standards, and security frameworks.
* Drive continuous improvement across data engineering practices and technologies.
Required Qualifications
Strong data engineering expertise, hands‑on experience in cloud‑based data solutions, ideally within regulated or complex environments such as healthcare. Confidence in both technical and consultative aspects of data delivery.
You Should Have
* Proven experience as a Data Engineer working with large, complex datasets.
* Hands‑on expertise with Databricks, Apache Spark, and SQL.
* Strong proficiency in Python (PySpark 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).
Seniority Level
Entry level
Employment Type
Full‑time
Job Function
Information Technology (Human Resources Services)
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