Job Description

Canberra, Australia | Posted on 28/07/2026

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

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Required Skills & Qualifications

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