Vacancy description

Data Engineer (IT) in United Kingdom

CGI

  • HybridMix of office and remote
  • On-siteWork from the office

United Kingdom

At CGI, we design and deliver data-driven solutions that transform how the UK?s public and commercial sectors operate, enabling smarter decisions and better outcomes for millions. As a Data Engineer within our Delivery Centre, you?ll build the platforms and pipelines that power critical services and unlock meaningful insight from complex data. We combine innovation with real-world impact, giving you the opportunity to take ownership of high-value solutions, collaborate with expert teams, and shape the future of digital services. Here, your ideas are valued, your growth is supported, and your work makes a measurable difference to clients and communities across the UK. 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 the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. Our teams operate within a flexible hybrid working model, however on-site requirements vary by project, so the ability to travel as required to meet client needs is essential. Candidate profile: In this role, you will design, build and optimise scalable data platforms and pipelines that underpin mission-critical services across the UK. You will work closely with architects, developers and client stakeholders to turn complex requirements into secure, high-performing data solutions that enable insight and innovation. With the freedom to shape technical approaches and the backing of a collaborative delivery team, you will play a key role in driving measurable outcomes for our clients. You will contribute across the full data lifecycle, from ingestion and transformation to storage, modelling and visualisation, ensuring solutions are resilient, secure and future-ready. As part of an agile environment, you will continuously improve ways of working, champion best practice and help organisations become truly data driven. Key responsibilities:

  • Design & Deliver scalable data pipelines and cloud-based data platforms (AWS, Azure, GCP).
  • Develop & Optimise robust data models, warehouses and ?big data? architectures.
  • Integrate & Transform data using tools such as Databricks, Spark, Kafka, Talend, Informatica, AWS Glue or Azure Data Factory.
  • Collaborate & Influence with cross-functional agile teams and client stakeholders.
  • Automate & Secure CI/CD pipelines and infrastructure using tools such as Jenkins, GitHub, Terraform, Ansible or Kubernetes.
  • Enable Insight by supporting visualisation and reporting tools including Power BI or Tableau.
Required qualifications to be successful in this role To succeed, you will bring strong hands-on experience in building and optimising cloud-based data solutions within agile environments. You will combine technical depth with a proactive mindset, taking ownership of delivery while contributing to a supportive, high-performing team. A passion for innovation and continuous improvement will help you thrive in this role. Essential qualifications:
  • You should have hands-on experience with cloud platforms such as AWS, Azure or GCP.
  • Strong proficiency in Python, SQL, Scala, Spark-SQL, JavaScript or PowerShell.
  • Proven ability to design and build data pipelines and workflow solutions.
  • Experience with data tools such as Databricks, Spark, Kafka and relational or NoSQL databases (e.g., Postgres, Cassandra).
  • Experience in data warehousing and building large-scale data architectures.
  • Familiarity with visualisation tools such as Power BI or Tableau.
  • Experience working within Agile delivery teams.

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