Senior Data Engineer

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Senior Data Engineer – Microsoft Fabric

Location: Remote – Canada

Engagement: Contract | B2B (Incorporated Contractors Only)

We're seeking a hands-on Senior Data Engineer to build and scale a modern enterprise data platform using Microsoft Fabric. You'll design high-performance data pipelines, transform complex datasets into analytics-ready assets, and help shape a scalable data architecture.

What You'll Do

• Design and develop Microsoft Fabric solutions using Lakehouses, Warehouses, Data Pipelines, Dataflows Gen2, and Notebooks.
• Build scalable ETL/ELT pipelines using SQL, Python/PySpark, and Delta Lake.
• Implement medallion architecture (Bronze/Silver/Gold) and integrate data sources into OneLake.
• Develop dimensional data models and optimize Power BI semantic models, including Direct Lake.
• Establish data quality, governance, security, and CI/CD best practices.
• Optimize platform performance, reliability, and costs.

What We're Looking For

• 5+ years of data engineering experience, including 1–2 years of hands-on Microsoft Fabric experience.
• Advanced SQL, Python/PySpark, and Apache Spark skills.
• Strong Azure data platform experience (ADF, Synapse, Databricks, ADLS).
• Expertise in dimensional modeling, star schemas, and modern data architectures.
• Experience with Power BI, semantic models, and enterprise data integration.
• Strong communication skills and ability to collaborate with business stakeholders.

Bonus Points

• Microsoft Fabric certifications (DP-700 or DP-600).
• Experience with Eventstreams, KQL, or real-time analytics.
• Experience migrating legacy platforms to Microsoft Fabric.

Engagement Requirements

• Must reside in Canada and be available to work remotely.
• Must operate through an active Canadian incorporated business (Inc., Ltd., or Corp.).
• Engagement structured as a business-to-business consulting contract.