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 - MS Fabric, you will design and optimise end-to-end data solutions that drive strategic decision-making across industries. You will shape robust, scalable architectures, foster data-driven cultures, and ensure 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 colleagues, and build solutions that make a lasting difference.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.Key ResponsibilitiesDesign & 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 QualificationsStrong 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 (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 QualificationsExposure 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.Seniority levelEntry levelEmployment typeFull-timeJob functionInformation Technology #J-18808-Ljbffr