- Willingness to work 5 days per week onsite at Moore Park, Sydney.
- Successful completion of a National Police Check.
Our client is seeking an experienced Data Integration Analyst with strong hands‑on Microsoft Fabric experience to support the development and ongoing improvement of its enterprise data platform.
This is an excellent opportunity to work across data integration, ETL/ELT processes and modern data architecture, building reliable data solutions that support business reporting, analytics and decision‑making.
Key Responsibilities:
- Develop, maintain and optimise data pipelines within Microsoft Fabric.
- Support and maintain the organisation's Lakehouse environment.
- Build and manage ETL/ELT processes and enterprise data integrations.
- Integrate data from multiple business systems using APIs, databases and other technologies.
- Write and optimise complex SQL queries for data extraction and transformation.
- Contribute to data warehousing and up-to-date data architecture initiatives.
- Troubleshoot data integration issues and continuously improve platform performance.
- Collaborate with technical and business stakeholders to deliver scalable data solutions.
What We're Looking For:
- Strong hands‑on Microsoft Fabric experience – MUST HAVE.
- Experience developing and supporting enterprise data integration solutions.
- Strong SQL Server skills and ability to write complex queries.
- Solid understanding of ETL/ELT processes and data warehousing.
- Experience integrating multiple business systems through APIs and databases.
- Knowledge of modern data architectures and source control tools such as Git.
- Strong analytical, troubleshooting and problem‑solving skills.
- Excellent communication and stakeholder management skills.
- Willingness to work 5 days per week onsite at Moore Park, Sydney.
- Successful completion of a National Police Check.
Interested?
If you have strong Microsoft Fabric experience and are looking for your next opportunity, I'd love to hear from you.
Apply via LinkedIn or reach out directly for a confidential discussion.