Data Engineer (Databricks and AWS)

In this Senior Data Engineer role, you design, build, and optimize data platforms that support national healthcare services. You work within CGI’s Healthcare team to enable secure, scalable data access and trustworthy decision-making. You’ll tackle data processing challenges, shape technical direction with architects and analysts, and drive continuous improvement in data pipelines. This is a chance to impact patient and operational outcomes while working in a collaborative, innovation-focused culture. The opportunity combines cutting-edge tech with real-world healthcare impact, supported by a strong emphasis on governance and security.

• competitive salary
• excellent pension
• private healthcare
• share scheme (3.5% + 3.5% matching)

• Design and build data pipelines using Databricks, Apache Spark, and Python
• Develop scalable data solutions on AWS (S3, Glue, Lambda) and related services
• Implement ETL processes and data lake/lakehouse architectures for accuracy and reliability
• Collaborate with technical and business stakeholders to translate requirements into data solutions
• Ensure data governance, NHS standards, and security frameworks are followed
• Drive continuous improvement of data engineering practices and technologies

• Hands-on Databricks experience
• Proven Data Engineer with large, complex datasets
• Hands-on Apache Spark and SQL
• Strong Python (PySpark preferred)
• Experience with AWS services (S3, Glue, Lambda, IAM)
• Knowledge of ETL design, data modelling, and data lake/lakehouse concepts
• Understanding of data governance and compliance frameworks
• Healthcare sector experience or NHS data standards knowledge (advantageous)
• UK Security Clearance or eligible

• collaboration
• ownership
• problem-solving
• Databricks
• Apache Spark
• Python (PySpark)