Microsoft Fabric Data Engineer Role (Winnipeg)

Elevate your data engineering career with Armstrong Collective as a Data Engineer specializing in Microsoft Fabric. This hybrid role focuses on building innovative data solutions and enhancing performance.

You will contribute as a hands‑on Data Engineer with over five years of experience. Key responsibilities encompass designing authoritative data models, maintaining scalable batch and streaming data pipelines, and optimizing Power BI semantic models. This position requires collaboration to deliver data products that facilitate critical business insights and decision‑making.

Key Responsibilities

• Design and maintain canonical data models for analytics
• Build scalable batch and streaming data pipelines with Microsoft Fabric
• Optimize KQL queries and maintain real‑time data processes
• Develop Spark and PySpark pipelines using medallion architecture
• Ensure data quality through governance practices using Microsoft Purview

Requirements

• 5+ years of data engineering experience
• Robust expertise in Microsoft Fabric and KQL
• Proficient in creating Power BI semantic models
• Experience migrating SQL workloads to Spark
• Strong problem‑solving skills and attention to detail

Drive impactful data solutions and collaborate effectively to optimize business strategies at Armstrong Collective.