Data Engineer - G0 Fusion

Canberra, Australia Posted on 10/11/2026

Under direction of the Commonwealth, undertake the following duties:

• Design and implement data integration pipelines that source logistics and sustainment data from legacy applications
• Collaborate with stakeholders including Business Analysts, Data Architects and developers, analyse logistics, maintenance, inventory, supply chain, procurement and asset management data structures and develop data mappings
• Generate and revise suggested data object designs across relational and data mesh environments as part of the prescribed data generation life cycle for Army analytical products
• Research and develop data migration strategies, cutover approaches and ongoing integration mechanisms between legacy data source and target data sources plus platform migration.
• Support testing, verification and operational acceptance of migrated logistics datasets.

Legacy Data Warehouse to Enterprise Data Mesh Migration

• Support the migration of analytical data assets, from Army legacy data warehouse into a Defence enterprise data mesh architecture.
• Design and develop domain-aligned data products that support self-service analytics, reporting and decision support capabilities.
• Transform landed data into centrally managed warehouse STAR schema plus governed, reusable data products aligned to Data Mesh principles.
• Support implementation of federated governance, data discoverability and enterprise-wide data sharing capabilities.

Data Product and Data Mart Development

• Design and develop business-ready data marts and analytical models supporting:
  • Organisational structure and hierarchy management
  • Logistics and inventory management
  • Maintenance and sustainment management
  • Equipment readiness and asset visibility
  • Workforce and establishment reporting
  • Operational planning and decision support
• Develop conformed dimensions and shared business entities to ensure consistency across analytical domains.
• Support data engineering for dimensional, data vault and hybrid modelling approaches as appropriate to support enterprise analytics requirements.
• Analyse enterprise semantic-ready datasets suitability for Army use cases.

Data Engineering and Platform Development

• Apply DevSecOps, CI/CD and pipeline execution where appropriate.
• Ensure compliance with enterprise governance, security, privacy and information management policies. Including standards for data quality, stewardship and lifecycle management, and master data management.

Requirements

Minimum 5 years dedicated data engineering experience across:

• SQL development including 3NF design, STARschema design and implementation, in a data warehouse context.
• Experience migrating legacy data warehouse environments to preferablymodern analytical platforms or experience with large application data migrationor refactoring.
• Datamart design, build and testing.
• SQL code optimisation and refactoring.
• Python scripting and data transformation.
• Experience with Data Vault 2.0 patterns, datamesh structures
• Experience with the logistics systems andlogistics business domain, especially in a SAP enterprise context.
• Experience with Defence or related industriessuch as capability development and delivery, sustainment or operationalplanning.
• Experience with data engineering of sensitivedatasets at SECRET, protected identities (PI) and personality identifiableinformation (PII)
• Working in a large team on a complexapplication in a decision support or data analytics context.
• Cloudera data analytics suite (CDV, CML etc)including Hive, Impala, Ozone, Iceberg, Spark or contemporary suite eg Databricksincluding data mesh concepts.