If you’re looking for a challenge that stretches your talents and want to make a real difference in how modern businesses harness data, come and help us grow our Data Engineering capability at CGI. We need a passionate Lead Data Engineer to design, build, and scale cutting-edge data systems that enable insight, decision-making, and tangible business value.
We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.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. This is a hybrid role with regular travel in the London area. As a Lead Data Engineer, you’ll play a pivotal role in building scalable, re-usable data solutions for complex challenges. You’ll be a hands-on contributor as well as a leader of teams or projects depending on your level, with involvement in architecture, design, and delivery of high-quality systems. You’ll work across diverse domains, technologies, and platforms, with a strong emphasis on modern cloud ecosystems and real-time data.
Designing and developing scalable data pipelines and storage solutions in cloud environments (AWS, Azure, GCP)
- Writing complex queries against relational and non-relational databases
- Leading or contributing to key projects involving technologies like Databricks, Snowflake, BigQuery and Fabric
- Applying software engineering best practices to data engineering, including CI/CD, monitoring and alerting
- Collaborating with cross-functional teams including Data Scientists, Architects and Analysts
- Continuously improving code quality, performance and maintainability
- Working with near real-time, geospatial and AI-accelerated data applications
Strong proficiency in Python, including OOP principles and clean, maintainable coding practices
- Advanced SQL skills and experience designing efficient schemas and optimising performance
- Experience with code versioning, dependency management, logging, validation and monitoring
- Familiarity with modern data platforms such as Databricks, Snowflake or Microsoft Fabric
- Solid understanding of software engineering principles and SDLC best practices
- Demonstrated success working across multiple cloud platforms (AWS, Azure, or GCP)
- Come join our team—one of the largest IT and business consulting services firms in the world.