Microsoft Fabric Data Engineer

Build Microsoft Fabric data solutions at 360insights using Python, PySpark, and Power BI in a hands-on mid-level engineering role. Support reliable analytics for reporting and client-facing needs.

As a Data Platform Engineer, you will develop and maintain ingestion, transformation, pipelines, lakehouses, semantic models, dashboards, and reports. You will contribute to platform operations, reporting modernization, and AI-assisted engineering workflows. The role reports to the Head of Data Platform and supports business reporting, operational insights, and client-facing reporting needs.

Key Responsibilities:

• Build Fabric transformations with PySpark notebooks and Dataflow Gen2
• Develop bronze, silver, and gold data models
• Monitor pipelines, lakehouses, semantic models, and platform processes
• Investigate failures and implement corrective solutions
• Develop Power BI models, dashboards, reports, and DAX measures

Requirements:

• Two to five years in data or analytics engineering
• Experience with Microsoft Fabric or modern cloud data platforms
• Production pipeline and transformation experience
• Proficiency in Python and PySpark or similar frameworks
• Git workflows and AI-assisted development experience

Apply data engineering, Microsoft Fabric, Python, PySpark, and Power BI skills to evolve 360insights' reporting platform.