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Data Engineer - MS Fabric

myGwork - LGBTQ+ Business Community
Newcastle upon Tyne
1 month ago
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Data Engineer

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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 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

  • 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 (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.

Seniority level

  • Entry level

Employment type

  • Full-time

Job function

  • Information Technology


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