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
.
Robust 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
.

📌 Data & Ai Analytics Engineer (New South Wales)
🏢 Hamilton Barnes
📍 New South Wales