Job Description
Canberra, Australia | Posted on 28/07/2026
Design, build, and maintain scalable data pipelines and data integration solutions
Develop and optimise ETL/ELT processes to ingest, transform, and store data from multiple sources
Work closely with data architects, analysts, and downstream consumers to deliver reliable data solutions
Implement data processing solutions across batch and near-real-time use cases
Ensure data quality, reliability, and performance across data platforms
Support cloud-based data platforms, data lakes, and data warehouses
Apply data security, privacy, and access control requirements across data solutions
Troubleshoot and resolve data pipeline failures and performance issues
Contribute to automation, monitoring, and continuous improvement of data engineering practices
Requirements




Required Skills & Qualifications
5+ years' experience in Data Engineering or data-focused engineering roles
Strong experience with ETL/ELT development and data pipeline orchestration
Solid proficiency in SQL and experience with relational and NoSQL data stores
Experience with cloud data platforms (e.g. Azure Data Factory, Databricks, Synapse or equivalent)
Experience working with structured and semi-structured data
Familiarity with data modelling concepts and performance optimisation techniques
Experience with CI/CD pipelines and DevOps practices for data solutions
Robust analytical, problem-solving, and troubleshooting skills
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📌 Data Engineer (Canberra)
🏢 Indigitise
📍 Canberra