Lead Data Engineer

Position Description:

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.

CGI was recognised in the Sunday Times Best Places to Work List and has been named one of the ‘World’s Best Employers’ by Forbes magazine. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI partner, not just an employee.
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. We’ll train and support you in taking your career wherever you want it to go.

This is a hybrid role with regular travel in the London area. All applicants must have the right to live and work in the UK.

Your future duties and responsibilities:

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.

Key responsibilities will include:

- 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
- Mentoring team members and promoting a culture of technical excellence
- Continuously improving code quality, performance and maintainability
- Working with near real-time, geospatial and AI-accelerated data applications

Required qualifications to be successful in this role:

- 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)
- Excellent communication and collaboration skills with technical and non-technical stakeholders
- A proactive, delivery-oriented mindset with a passion for learning and solving hard problems

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