Senior Data Engineer

At CGI, we help organisations turn complex data into powerful, trusted platforms that enable smarter decisions and lasting impact. As a Senior Data Engineer, you'll be instrumental in designing, building, and evolving a large-scale data platform that underpins critical business outcomes. Working within a collaborative DevOps environment, you'll deliver resilient, scalable data solutions while shaping best practice and driving continuous improvement. You'll be encouraged to take ownership of your work, explore creative approaches to data engineering challenges, and grow your career within a supportive culture that values collaboration, innovation, and real-world impact.

Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid role offering flexibility to balance on-site collaboration and remote working. You'll primarily work from home or your local CGI office, with occasional travel to client workshops or team sessions at key locations such as Birmingham, London, Manchester, or Leeds.

Your future duties and responsibilities:

• Build and maintain robust data pipelines that support a modern, enterprise-scale data platform.
• Work closely with architects, analysts, and client stakeholders to ensure data is reliable, accessible, and aligned to architectural standards.
• Take ownership of engineering outcomes, contribute ideas to improve platform performance and resilience, and help shape a positive, collaborative engineering culture.
• Support and guide less experienced colleagues, sharing knowledge and encouraging high standards across the team.

Key responsibilities include:

• Design, develop, and maintain scalable data pipelines using Databricks, Azure Data Factory, and Python.
• Maintain data quality, consistency, and lineage across ingestion, transformation, and delivery layers.
• Implement scheduling and monitoring to ensure reliable data operations.
• Work with Data Architects and Analysts to align pipelines with data models and target architecture.
• Resolve data issues across development and production environments to maintain platform stability.
• Maintain clear technical documentation and contribute to shared engineering knowledge.
• Coach and support team members, helping to raise capability across the data engineering function.

To be successful, you will bring strong hands-on data engineering experience, a proactive mindset, and the ability to work collaboratively within agile teams. You should be comfortable taking ownership of data solutions, continuously improving them, and supporting others to succeed.

Essential qualifications:

• Strong experience with Databricks, SQL, Azure Data Factory, and Python.
• Experience working within Azure-based data platforms.
• Proven background in building and maintaining scalable data pipelines.
• Experience with Azure DevOps and agile delivery practices.
• Solid understanding of data modelling and data architecture principles.
• Strong problem-solving, communication, and collaboration skills.
• Experience with CI/CD, version control, and DevOps practices for data.

Desirable:

• Azure Synapse, Blob Storage, data quality/testing tooling, Git, or triplestore technologies.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because you are invited to be an owner from day 1 as we work together to bring our Dream to life. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You will shape your career by joining a company built to grow and last.