Cloud Data Engineer Position
We are seeking an experienced Cloud Data Engineer to contribute to the design, development, and delivery of robust data pipelines, models, and processes that support our mission of providing accurate, timely, and trusted insights.
Job Description:
The successful candidate will be responsible for building, maintaining, and optimising modern cloud-based data assets that enable effective decision-making, strengthen risk management, and improve the quality of care for older Australians. This role requires strong experience in data engineering within cloud environments (Snowflake, Azure, or similar) and a solid understanding of data architecture, ELT/ETL pipelines, and Medallion framework.
Key Responsibilities:
* Develop, maintain, and optimise data pipelines and workflows in Snowflake and related cloud platforms.
* Build, test, and maintain dbt models and transformations aligned with Medallion architecture principles (Bronze, Silver, Gold).
* Apply data modelling techniques to structure, optimise, and ensure accessibility of data assets.
* Implement dbt tests and quality frameworks to maintain accuracy, integrity, and reliability of data.
* Contribute to data governance activities, including tagging, masking, and compliance with security policies.
* Support CI/CD pipelines and deployment workflows for dbt projects using Azure DevOps or similar tools.
* Prepare and maintain dbt documentation, including lineage and model descriptions, to improve transparency and governance.
* Troubleshoot and resolve technical issues to ensure reliable and trusted data products.
* Produce and maintain clear technical documentation to support data engineering practices and business use.
* Collaborate with technical and non-technical stakeholders to deliver business-aligned data solutions.
* Contribute to the adoption of emerging tools, automation practices, and engineering process improvements.
Selection Criteria:
To be successful in this role, you will need to demonstrate strong experience in data engineering within cloud environments, as well as a solid understanding of data architecture, ELT/ETL pipelines, and Medallion framework.
Requirements:
* Strong experience in data engineering within cloud environments (Snowflake, Azure, or similar).
* Solid understanding of data architecture, ELT/ETL pipelines, and Medallion framework.
* Ability to work in agile, fast-paced environments delivering iterative improvements.
* Strong problem-solving and analytical skills with high attention to detail.
* Effective communicator with the ability to collaborate across technical and business teams.
* Demonstrated aptitude and willingness to learn and adopt new tools, technologies, and best practices.
Benefits:
This is a full-time position with a competitive salary range of $96,503 - $108,869 per annum depending on skills and experience. In addition, 15.4% superannuation will be paid.
Other Requirements:
Only candidates who hold Australian citizenship can apply. Appointment is conditional on successfully completing a national police check. For more information, please visit our website.