At CGI, we partner with clients to transform how data powers their business, delivering solutions that unlock insight, fuel innovation, and enable measurable growth. As a Data Engineer specialising in MS Fabric, you will design and optimise end-to-end data solutions that drive strategic decision-making across industries. You’ll play a key role in shaping robust, scalable architectures, fostering data-driven cultures, and ensuring our clients remain at the forefront of digital transformation. Guided by our pillars — Be an Owner, Be Creative, Be Supported — you’ll take ownership of high-impact work, collaborate with talented colleagues, and build solutions that make a lasting 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 the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position.

YOUR FUTURE DUTIES AND RESPONSIBILITIES

In this role, you will take ownership of designing, building, and optimising scalable data solutions using MS Fabric and wider MS Azure tooling. You will shape data architectures, integrate data from multiple sources, and create solutions that make information accessible, reliable, and actionable for business users.
Working closely with analysts, data scientists, and business stakeholders, you will translate requirements into powerful data platforms, while championing governance, security, and performance optimisation. You will also mentor colleagues, contribute to innovation initiatives, and continuously explore new technologies to enhance the value of CGI’s data services.
Key responsibilities:
Design & Build: Develop scalable ETL pipelines, data warehouses, data lakes, and Lakehouse solutions.
Architect & Model: Create secure, cost-efficient data architectures and relational/non-relational data models.
Enable Insights: Prepare curated data for analytics and visualisation in tools such as Power BI or Tableau.
Govern & Secure: Implement data governance practices, quality controls, and compliance with standards.
Collaborate & Mentor: Partner with business units and mentor junior engineers to build a strong data culture.
Innovate & Optimise: Continuously improve workflows, evaluate emerging tools, and drive adoption of best practices.

REQUIRED QUALIFICATIONS TO BE SUCCESSFUL IN THIS ROLE

To succeed, you should bring strong technical expertise in modern data engineering and MS Fabric, coupled with cloud data platform experience and excellent communication skills. You’ll thrive in a collaborative, fast-paced environment where innovation and ownership are valued.
Essential qualifications:
Strong hands-on experience in data engineering with expertise in MS Fabric and MS Azure tooling.
Proven experience designing and implementing scalable ETL pipelines and data architectures.
Proficiency in SQL and a scripting language such as Python.
Experience with modern data warehouses, data modelling, and BI tools (e.g., Power BI, Tableau).
Strong knowledge of data governance, quality frameworks, and security best practices.
Ability to collaborate effectively with technical and non-technical stakeholders.
Problem-solving mindset and ability to work with complex datasets.
Preferred qualifications:
Exposure to other data platforms such as Snowflake, Databricks, Informatica, or Talend.
Experience with big data and ML tools.
Certifications in Azure Data Engineer or similar.
Familiarity with data privacy regulations such as GDPR.