YOUR NEXT CHAPTER
Senior Power BI Data Engineer
About the role
• Develop and maintain Power BI reports, dashboards, datasets, and semantic models using best-practice star-schema modelling
• Build advanced DAX and Power Query solutions, including complex calculations, time intelligence, and performance optimisation
• Write and optimise SQL queries to extract, transform, validate, and integrate data from multiple business systems
• Design and maintain dimensional data models and data warehouse layers, including fact tables, dimension tables, and slowly changing dimensions
• Build and support ETL/ELT data pipelines using tools such as Azure Data Factory, dbt, SSIS, or equivalent platforms
• Manage Power BI Service and data governance, including workspaces, gateways, row-level security, refresh schedules, data quality, and documentation
• Partner with Finance, Operations, and Sales stakeholders to translate business requirements into meaningful insights, reporting solutions, and recommendations for senior management
• 5+ years of hands-on Power BI experience, covering both Power BI Desktop and Service in a production reporting environment
• Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Finance, or a related quantitative field
• Advanced skills in DAX, Power Query (M), and SQL, with strong experience in complex calculations, transformations, joins, window functions, and stored procedures
• Strong understanding of dimensional data modelling, including star schemas, fact/dimension tables, slowly changing dimensions, and data warehouse concepts
• Experience with Power BI Service administration, including gateways, row-level security, workspaces, deployments, refreshes, and troubleshooting
• Strong analytical, commercial, communication, and stakeholder management skills, with the ability to explain insights to senior non-technical stakeholders and work independently in a remote environment
• PL-300 certification preferred
• Experience in Microsoft Fabric, Azure Data Factory/Synapse, dbt, SSIS, Python/R, Power Apps/Automate, or Dynamics 365 Business Central considered an advantage
• Work from home
• Monday to Friday 9:00 AM to 6:00 PM AEST/AEDT (adjustments will be made for daylight saving time)
• HMO with 2 free dependents and medical reimbursements
• Government-mandated benefits
• Opportunities to work with leading companies in Australia and beyond
• Training programmes for career development
• Engaging company outings, team activities and wellness sessions
• Supportive, inclusive culture
• Dedicated managers focused on your growth and success
• Competitive pay and benefits
• Additional entitlements
• Structured career development programs
• Equal opportunity and inclusive workplace