Job Title: Azure Data Engineer
Location: Sydney, Australia
This is an exciting opportunity to shape the organisation's data future by leading the transition from on-premise SQL servers to Databricks.
About the Role:
* Develop and implement best practices in data engineering.
* Build and maintain efficient data pipelines.
* Establish robust data models and standards.
This role is integral to ensuring the organisation's data analytics platform meets future demands with scalability and performance.
Key Responsibilities:
* Lead the migration of the data analytics platform from on-premise SQL servers to Databricks.
* Design, build, and maintain data pipelines and data models.
* Define and implement data engineering best practices and standards for the organisation.
* Collaborate with data scientists, analysts, and stakeholders to understand requirements and deliver effective data solutions.
* Optimise the platform for scalability, reliability, and performance within an Azure environment.
About You:
* 3+ years of experience as a Data Engineer, with expertise in Azure data services.
* Proven experience in migrating data platforms or large-scale ETL processes.
* Strong knowledge of Databricks, SQL, and Azure Data Factory.
* Proficiency in building scalable and maintainable data pipelines.
* Solid understanding of data modelling, data architecture, and best practices.
* Excellent problem-solving skills and ability to work in a collaborative team environment.
What's in It for You?
* Competitive daily rate of $800–$1,100/day.
* Opportunity to work on a high-impact project modernising a government agency's data platform.
* A supportive and innovative work environment.
* Initial 6-month contract with potential for extension.