Senior Data Engineer: Databricks, AWS & Healthcare Data

Free-Work UK; Leeds; Hybrid; GBP 70,000 - 95,000; Full time

Benefits offered by this job

Excellent pension

Private healthcare

Share scheme (3.5% + 3.5% matching)

Job summary

CGI is recruiting a Senior Data Engineer to design, build and optimise data platforms for critical UK healthcare systems. You will work on Databricks, Spark, Python and AWS-based data pipelines, ensuring data quality, security and compliance.

Hybrid role based in Leeds with NHS data standards awareness valued. You will take ownership of complex data challenges, collaborate with architects and analysts, and drive innovation across data engineering practices while contributing to a culture of

Qualifications

• Hands-on data engineering experience with cloud-based data solutions in regulated environments.
• Strong knowledge of Databricks, Spark, SQL and Python for building data pipelines.
• Experience with AWS services (S3, Glue, Lambda, IAM) and data lake/lakehouse concepts.
• Understanding of data governance, security, and NHS data standards is advantageous.

Responsibilities

• Design, build, and maintain scalable data pipelines across platforms.
• Collaborate with architects and analysts to shape technical direction.
• Deliver secure, compliant data solutions in healthcare contexts.
• optimise data platforms for quality, accessibility and performance.
• Drive continuous improvement in data engineering practices and tooling.

Skills

Databricks

Apache Spark

Python

SQL

AWS

Data governance

NHS data standards

Tools

Databricks

Apache Spark

AWS (S3/Glue/Lambda/IAM)

Python (PySpark)

SQL

Job description

CGI is recruiting a Senior Data Engineer to design, build and optimise data platforms for critical UK healthcare systems. You will work on Databricks, Spark, Python and AWS-based data pipelines, ensuring data quality, security and compliance.

Hybrid role based in Leeds with NHS data standards awareness valued. You will take ownership of complex data challenges, collaborate with architects and analysts, and drive innovation across data engineering practices while contributing to a culture of