Reporting to: CIO / Head of Digital Transformation

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 up-to-date 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.
Solid 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.
Solid stakeholder engagement and communication skills.
DP-600, Python/PySpark, Dataverse, Purview and Copilot experience highly desirable.
Healthcare experience is advantageous but not essential .
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📌 Data & Ai Analytics Engineer Sydney
🏢 Hamilton Barnes
📍 Sydney