Power BI Developer

Power BI DeveloperLocation: Sydney (Hybrid / Onsite options)

Salary: Competitive (aligned with Sydney market)

Employment Type: Full‑time, Permanent

About the Role

We are looking for an experienced Power BI Developer to join a dynamic analytics and reporting team in Sydney. The ideal candidate will have strong expertise in transforming complex datasets into insightful dashboards and reports, with hands-on experience across the Microsoft BI stack.

You will work closely with business stakeholders, data engineers, and product teams to design analytical solutions that support key decision-making across the organization.

Key Responsibilities

• Develop interactive, visually compelling Power BI dashboards and reports
• Build data models, DAX calculations, and optimized datasets
• Work with stakeholders to gather BI/reporting requirements and translate them into technical solutions
• Connect and integrate data from multiple sources including SQL Server, Azure services, APIs, Excel, and enterprise systems
• Ensure data accuracy, data validation, and performance optimization
• Manage Power BI Service including workspaces, gateways, security roles, and scheduled refreshes
• Support self‑service BI adoption across the business
• Work closely with data engineers to enhance data pipelines and ETL processes
• Maintain documentation, standards, and best practices for BI projects

Required Skills & Experience

• 3–6 years of experience as a Power BI Developer or similar BI role
• Strong proficiency with Power BI Desktop, Power BI Service, and DAX
• Experience building complex data models, relationships, and calculated measures
• Advanced SQL skills (T‑SQL preferred)
• Experience with Azure data stack (Azure SQL, Synapse, Data Lake, Data Factory) is highly desirable
• Strong understanding of data warehousing concepts (Star schema, ETL, fact/dimension tables)
• Ability to work with large datasets and optimise report performance
• Excellent communication skills with ability to work directly with business stakeholders
• Strong problem‑solving mindset and attention to detail

Nice-to-Have

• Experience with Python, R, or other analytics tools
• Familiarity with Power Apps or Power Automate
• Experience with SSIS, SSAS (Tabular), SSRS
• Knowledge of data governance and security practices
• Exposure to financial, retail, or enterprise reporting environments