Azure Fabric Data Engineer: Power BI & Analytics

Saasnine; Melbourne; On-site; AUD 166,000 - 221,000; Full time

Benefits offered by this job

Initial 6-month contract with strong  

Job summary

Saasnine is seeking an experienced Azure Fabric Engineer in Melbourne to support a major enterprise transformation focused on modernising reporting, analytics, and data platform capabilities within a Microsoft ecosystem.

The role requires hands-on experience with Microsoft Fabric, Azure, and Power BI, and collaboration across technical and business teams in a fast-paced project environment.

Qualifications

• Strong commercial experience with Microsoft Fabric.
• Advanced Power BI development and reporting capability.
• Strong understanding of Azure data technologies.
• Experience with enterprise reporting and analytics environments.
• Data modelling, ETL/ELT, and data transformation experience.
• Strong stakeholder engagement and communication skills.
• Experience in large-scale transformation or ERP programs is highly regarded.
• Exposure to Dynamics 365 environments is beneficial.

Responsibilities

• Design, develop, and optimise Microsoft Fabric data solutions.
• Build scalable reporting and analytics capabilities using Power BI.
• Work across data ingestion, transformation, modelling, and visualisation.
• Support integration of enterprise data sources into the Fabric platform.
• Collaborate with business stakeholders to deliver insights.
• Assist with governance, performance tuning, and best practices.
• Work closely with project teams across ERP, reporting, and operations.

Skills

Microsoft Fabric

Power BI

Azure data technologies

ETL/ELT

Data modelling

Stakeholder engagement

ERP programs

Dynamics 365 exposure

Tools

Azure Data Factory

SQL Server

Job description

Saasnine is seeking an experienced Azure Fabric Engineer in Melbourne to support a major enterprise transformation focused on modernising reporting, analytics, and data platform capabilities within a Microsoft ecosystem.

The role requires hands-on experience with Microsoft Fabric, Azure, and Power BI, and collaboration across technical and business teams in a fast-paced project environment.