[Hiring] Senior Azure/Fabric Data Engineer @GT

Role Description

GT is looking for a Senior Azure/Fabric Data Engineer with architecture exposure, interested in assessing, designing, and potentially building a modern data platform to support Finance, Operations/Supply Chain, and Quality/Manufacturing functions.

Expected Involvement:

• The engagement will initially start with a part-time discovery phase of approximately 20 hours per week.
• Potential to transition into a full-time implementation role following the discovery phase and client approval.

Responsibilities

• Assess the current Azure and Microsoft Fabric data environment.
• Define the target data architecture and implementation roadmap.
• Design medallion and metadata-driven ETL/ELT solutions.
• Evaluate Fabric capacity, performance, and cost.
• Integrate data from ERP, manufacturing, and quality systems.
• Design Power BI semantic models and data-governance standards.
• Collaborate with business and technical stakeholders during discovery.
• Support hands-on implementation following client approval.

Qualifications

• 6+ years of experience in data engineering, BI, or data platforms.
• Strong hands-on experience with Azure Data Factory and Azure Data Lake Gen2.
• Practical commercial experience with Microsoft Fabric, including Lakehouse or Warehouse components.
• Advanced SQL/T-SQL skills.
• Experience with Python or PySpark.
• Strong Power BI experience, including DAX, Tabular modelling, semantic models, and dimensional modelling.
• Experience designing ETL/ELT pipelines, medallion architectures, and data-integration solutions.
• Experience with Git, Azure DevOps, and CI/CD pipelines.
• Architecture exposure through discovery, solution design, technical estimation, or technology-selection decisions.
• Strong English and client-facing communication skills.

Nice-to-have

• Fabric capacity monitoring, SKU sizing, or cost-optimisation experience.
• Metadata-driven ETL framework experience.
• Multi-ERP integration experience, particularly Business Central or SAP.
• Experience with Purview, Databricks, Synapse, pharma, manufacturing, or GxP environments.
• Background in regulated manufacturing/pharma (GxP) — can be learned.

Interview Steps

• GT interview with Recruiter.
• Technical interview.
• Final interview.
• Reference Check.
• Offer.