Microsoft Fabric Data Engineer - Lakehouse & BI

Watershed Consulting; Pretoria; Vor Ort; ZAR 900.000 - 1.200.000; Vollzeit

Zusammenfassung

Watershed Consulting in Pretoria is seeking a Microsoft Fabric Engineer with hands-on experience designing, developing, and supporting modern data and analytics solutions on the Fabric platform.

You will build scalable data pipelines, implement Lakehouse architectures, develop semantic models, and enable BI using Power BI, PySpark, and CI/CD with Azure DevOps. Strong focus on performance, governance, and security across cloud data platforms.

Qualifikationen

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related discipline.
• 8–10 years of experience in data engineering or analytics with Microsoft Fabric exposure.
• Proficiency in PySpark, Spark SQL, SQL, Python, and building semantic models for Power BI.

Aufgaben

• Design, develop, and support data solutions on Microsoft Fabric platform.
• Build and optimize data ingestion, transformation, and Lakehouse pipelines.
• Create reusable frameworks and automation for ETL/ELT processes.
• Ensure data quality, lineage, governance, and security controls.
• Configure Fabric workspaces, notebooks, and data pipelines; use PySpark and Spark SQL.
• Develop semantic models and Power BI datasets; integrate sources and support governance.
• Implement CI/CD using Azure DevOps and Git; enable deployment automation and monitoring.
• Collaborate with architects, analysts, data scientists, and reporting teams.

Kenntnisse

Microsoft Fabric

PySpark

SQL

Power BI

Azure DevOps

Data Modeling

Data Pipelines

Ausbildung

Bachelor's or Master's in CS/IT/Engineering

Tools

Git

Azure DevOps

Jobbeschreibung

Watershed Consulting in Pretoria is seeking a Microsoft Fabric Engineer with hands-on experience designing, developing, and supporting modern data and analytics solutions on the Fabric platform.

You will build scalable data pipelines, implement Lakehouse architectures, develop semantic models, and enable BI using Power BI, PySpark, and CI/CD with Azure DevOps. Strong focus on performance, governance, and security across cloud data platforms.