Senior Data Engineer: Data Mesh & Legacy Migration

Indigitise Pty Ltd; Canberra; On-site; AUD 120,000 - 180,000; Full time

Job summary

Indigitise Pty Ltd in Australia is seeking a skilled Senior Data Engineer to lead design and implementation of data integration pipelines for logistics and sustainment data.

You will collaborate with Business Analysts, Data Architects and developers to map data structures, migrate legacy warehouses to a modern data mesh, and develop domain-aligned data products for self-service analytics and governance across enterprise systems.

Qualifications

• Minimum 5 years dedicated data engineering experience in data warehouse contexts.
• SQL development including 3NF design and STAR schema implementation in data warehouse contexts.
• Experience with Agile development (Scrum).
• Python scripting for data engineering or data analysis.
• ETL/ELT pipeline execution and data quality controls.
• Datamart design, build and testing.
• Data Vault 2.0 patterns awareness (Desirable).

Responsibilities

• Design and implement data integration pipelines sourcing logistics and sustainment data from legacy applications.
• Collaborate with Business Analysts, Data Architects and developers to analyze data structures and develop data mappings.
• Migrate legacy data warehouse environments toward a Defence enterprise data mesh and develop domain-aligned data products for self-service analytics.
• Support data governance, security, privacy and lifecycle management across enterprise analytics.
• Develop conformed dimensions and reusable data products to support enterprise analytics requirements.

Skills

SQL development

STAR schema design

Agile/Scrum

Python scripting

ETL/ELT pipelines

Data quality controls

Datamart design

Data Vault 2.0

Tools

Cloudera data suite

Databricks

Job description

Indigitise Pty Ltd in Australia is seeking a skilled Senior Data Engineer to lead design and implementation of data integration pipelines for logistics and sustainment data.

You will collaborate with Business Analysts, Data Architects and developers to map data structures, migrate legacy warehouses to a modern data mesh, and develop domain-aligned data products for self-service analytics and governance across enterprise systems.