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# Data Engineer (Databricks and AWS)

- **Company:** CGI Group Inc.
- **Location:** Leeds, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Big Data, Cloud Database, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Identity and Access Management, Python (Programming Language), Cloud Services, SQL Databases, Apache Spark, Build Management, Data Lakes, Pyspark, Data Delivery, Data Pipelines, Databricks
- **Published:** October 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8876a0471ff77056

## About the Role

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.

You must have:

 * Hands-on commercial expertise with Databricks.

You should have:

 * Proven experience as a Data Engineer working with large, complex datasets.
 * Hands-on expertise with 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).

## Description

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.

 * Design & Build: Develop and optimise data pipelines using Databricks, Apache Spark, and Python.
 * Develop & Deliver: Create scalable data solutions on AWS leveraging S3, Glue, Lambda, and related services.
 * Integrate & Automate: 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.
 * Innovate & Improve: Drive continuous improvement across data engineering practices and technologies.