Data Engineer

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Join CGI and help shape the future of Scotland’s digital landscape through impactful data engineering that powers transformation across the public and commercial sectors. As a Data Engineer, you’ll play a key role in designing and delivering high-value data solutions that enable smarter decisions and better outcomes for millions of citizens. You’ll work with modern cloud, data and automation technologies, taking ownership of meaningful challenges while collaborating with a supportive community that encourages new ideas and continuous growth.

This is your opportunity to contribute to innovative, high-impact projects while building a career where your expertise and creativity truly make a difference.

CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK ‘Best Employer’ by the Financial Times. 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.

Due to the secure nature of our programmes, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position.

• Design & Build:
  Develop scalable data pipelines, ETL/ELT processes and data architectures.
• Engineer & Optimise:
  Improve performance across big-data environments using modern tools and platforms.
• Collaborate & Deliver:
  Work with Agile teams to deliver secure, high-quality data solutions.
• Integrate & Automate:
  Support CI/CD practices and infrastructure for data engineering workflows.
• Analyse & Innovate:
  Introduce new techniques and technologies that enhance data processing and insights.
• Support & Evolve:
  Contribute to best practices, standards and continuous improvement across the team.

• Proficiency in scripting languages (Python, Power Shell, SQL, Scala or Spark-SQL)
• Experience with cloud platforms (AWS, Azure or GCP)
• Hands‑on expertise with Databricks, Spark, Kafka or similar tooling
• Knowledge of relational/No
  
  SQL technologies (e.g., Postgres, Cassandra)
• Experience with ETL/ELT and workflow orchestration tools (Talend, Matillion, Informatica, Glue or ADF)
• Data warehousing experience
• Proven ability to build and optimise big-data pipelines

• Knowledge of CI/CD tooling and automation (Jenkins, Git Hub, Terraform, Ansible, Kubernetes)
• Degree in Computer Science, Statistics, Information Systems or equivalent experience

• Entry level

• Full-time

• Information Technology

• IT Services and IT Consulting