Data & AI Analytics Engineer

Data, AI & Analytics Engineer

Location: Sydney – Hybrid

Reporting to: CIO / Head of Digital Transformation

About the Company

The Company is a leading Managed Services Provider delivering ICT, cloud, infrastructure and cybersecurity solutions across Healthcare, Education, Professional Services, Government and other enterprise environments. As part of continued growth and a major digital transformation program, the Company is expanding its capabilities across data engineering, analytics and AI.

About the Role

The Company is seeking a Data, AI & Analytics Engineer to design and build a modern data and analytics environment using Microsoft Fabric, Power BI and Azure.

Initially, you will support a major healthcare transformation program, establishing a standalone and governed data platform while modernising reporting and analytics. This is more than a traditional Power BI role you'll work across data engineering, integration, analytics, governance and applied AI.

Key Responsibilities

• Design and build data platforms using Microsoft Fabric, including pipelines, lakehouses and warehouses.
• Develop enterprise Power BI dashboards, semantic models, KPIs and reporting solutions.
• Build ETL/ELT processes to integrate data from multiple operational and corporate systems.
• Support data migration, transformation, reconciliation and reporting transition activities.
• Establish strong data quality, governance, lineage and access controls.
• Identify and develop practical AI/ML and Microsoft Copilot use cases.
• Integrate data across APIs, databases, SaaS platforms and enterprise applications.
• Work with business leaders to translate operational requirements into scalable data solutions.

Requirements

• 5+ years' experience across data engineering, analytics or business intelligence.
• Strong hands-on experience with Microsoft Fabric and Power BI.
• Advanced SQL, DAX, Power Query and ETL/ELT skills.
• Experience with Azure data and cloud technologies.
• Strong understanding of data modelling, integration and governance.
• Understanding of Generative AI, LLMs and enterprise AI applications.
• Experience working on data migration or digital transformation projects.
• Strong stakeholder engagement and communication skills.
• DP-600, Python/PySpark, Dataverse, Purview and Copilot experience highly desirable.
• Healthcare experience is advantageous but not essential.

Apply now or email: Sign in to view email so we can arrange a follow-up call!