Lead Data Engineer
2 weeks ago
Lead Data Engineer
Location: ACT
Contract: 12 months + 2 x 12-month extensions
Clearance: NV2 required
We're looking for a high-impact Lead Data Engineer to join a large Federal Government agency and play a key role in transforming their data warehouse into a modern, cloud-based analytics platform powered by Microsoft Fabric.
This is your chance to work on a mission-critical program in a highly skilled team, delivering technical solutions that shape how data is collected, integrated, and used to support critical national objectives.
What you'll do
- Lead the management and optimisation of SSAS, SSIS, and SSRS reporting environments.
- Help drive the upgrade of an on-premises data warehouse to Microsoft Fabric in the cloud.
- Work with a wide variety of data sources (REST APIs, Excel, JSON, Parquet, Delta).
- Design and develop data pipelines, architectures, and integration solutions.
- Collaborate with stakeholders to produce clear documentation for technical and non-technical audiences.
- Champion DevOps practices with tools like Azure DevOps and Git.
What we're looking for
- 7+ years' experience in a similar Data Engineering role.
- Expertise in Microsoft Fabric, Synapse, or Data Factory.
- Strong SQL/T-SQL skills.
- Experience with data warehouses, data lakes, and lakehouses.
- Ability to integrate and analyse diverse datasets in complex environments.
Bonus points if you have:
- Python or PySpark skills.
- DAX and Power Query M experience.
- Traditional ETL/ELT and report development skills (SSIS, Power BI, SSRS).
- Machine Learning deployment experience.
Why you'll love this role
- Be at the forefront of one of the most significant data transformation projects in the public sector.
- Collaborate with experts in a highly respected government agency.
- Enjoy a long-term contract with the option to extend.
- Work with cutting-edge cloud-based data and analytics technology.
Ignite is Australia's preferred partner in recruitment and technology solutions across private and public sectors.
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