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Data Engineer G0 Fusion

Indigitise Pty Ltd

Job Location:

Canberra - Australia

Monthly Salary: Not provided by the employer

Posted: 10 November 2026 (2 hours ago)

Application Deadline: 7 February 2027

Vacancies: 1 Vacancy

Job Summary

Under direction of the Commonwealth undertake the following duties:

Enterprise Data Migration

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 STAR schema design and implementation in a data warehouse context.

Agile development preferably Scrum.

Experience migrating legacy data warehouse environments to preferably modern analytical platforms or experience with large application data migration or refactoring.

Python scripting data engineering or data analysis

Data DevOps including ETL/ELT pipeline execution data quality controls / verification

Datamart design build and testing.

SQL code optimisation and refactoring.

Python scripting and data transformation.

Desirable

Experience with Data Vault 2.0 patterns data mesh structures

Experience with the logistics systems and logistics business domain especially in a SAP enterprise context.

Experience with Defence or related industries such as capability development and delivery sustainment or operational planning.

Experience with data engineering of sensitive datasets at SECRET protected identities (PI) and personality identifiable information (PII)

Working in a large team on a complex application 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 Databricks including data mesh concepts.

Required Skills:

Key duties and responsibilities We are seeking a Senior Storage Engineer who has experience working in large complex ICT environments. The successful candidate will be responsible for deploying configuring managing and tuning the departments storage systems at physical and virtual layers. The Senior Storage Engineer will also be responsible to deploy configure and manage Storage Area Network Switches as required. The successful candidate should have knowledge of new and emerging technologies to shape the future direction of the departments storage and data platforms. The role requires producing design documents build documents operations document handover and sharing of knowledge with other team members and mentoring junior team members. Essential criteria experience and knowledge in the design administration tuning and troubleshooting of one or more of the following storage systems: HPE 3PAR Primera Alletra Storage Systems NetApp E-Series Dell Data Domain Brocade Fabric Switches SANnav Scality Artesca to produce design build and operations documents for processes and procedures. communication (verbal and written) and collaboration skills to work with skilled technical people including making presentations to staff and stakeholders and coaching staff. / Knowledge of following technology: Veeam Backup and Replication

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About Company

Indigitise Pty Ltd

35 employees

Indigitise is a leading professional services enterprise with a strong presence across Australia, specializing in IT consulting, IT services, and digital transformation solutions. Our team has extensive experience providing innovative and effective IT solutions to the Commonwealth Gov ... View more

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