Senior Data Engineer – Azure/Databricks Data Pipelines

Indigitise Pty Ltd; Canberra; On-site; AUD 140,000 - 180,000; Full time

Job summary

Indigitise Pty Ltd is seeking a Data Engineer to join the Enterprise Analytics and Technology Services team to work across data platforms and analytics.

The role focuses on ETL/ELT development, data movement, and the creation of data visualisations using Power BI, with Azure Databricks and Data Factory as core technologies in a modern cloud environment. You will contribute to design, development, and testing within an Agile team.

Qualifications

• Minimum 5 years' experience as a data engineer.
• Experience with Azure cloud technologies and Databricks.
• Experience building ETL/ELT pipelines and data products.
• Ability to design, test, and deploy data movement and transformation solutions.
• Strong communication and collaboration in Agile teams.

Responsibilities

• Design, develop, and test data movement and transformation processes.
• Create and maintain automated ingest and transformation patterns.
• Collaborate with project teams to meet departmental priorities.
• Support data engineers in delivery teams with quality reviews.
• Develop data visualisations and dashboards using Power BI.

Skills

ETL/ELT development

Agile methodologies

Leadership / ownership

Data movement & transformation

Communication skills

Education

Relevant data engineering qualifications or training

Tools

Azure Databricks

Azure Data Factory

SQL Server

Data Lake Storage

Power BI

DevOps

Visual Studio

Oracle

Job description

Indigitise Pty Ltd is seeking a Data Engineer to join the Enterprise Analytics and Technology Services team to work across data platforms and analytics.

The role focuses on ETL/ELT development, data movement, and the creation of data visualisations using Power BI, with Azure Databricks and Data Factory as core technologies in a modern cloud environment. You will contribute to design, development, and testing within an Agile team.