Data Engineer Position: Our organisation is seeking an experienced professional to fill a Data Engineer role, commencing on a 6-month contract with potential extensions.
The successful candidate will report directly to the Head of Data and Analytics and be accountable for developing data models, pipelines, test automation solutions, and mapping business requirements to technical systems.
* This position is based in Melbourne's Western Suburbs and requires working on-site three days per week. Tuesday and Thursday are set office days, while Fridays can be adjusted for onsite work.
To apply, applicants must meet the following criteria:
* Hold requisite skills and experience
* Have at least a Working Visa or Australian Permanent Residence working rights
* Have at least 3+ years of local working experience in a similar role
Key Responsibilities:
* Design, develop, and maintain the Data Lakehouse using Databricks, Data Factory, and other Azure cloud data engineering tools
* Collaborate with stakeholders to define data engineering requirements and align solutions with business objectives
* Develop and optimise data pipelines for efficiency, accuracy, and scalability
* Implement best practices for data governance, security, and compliance within the Azure ecosystem
* Monitor system performance, troubleshoot issues, and implement enhancements for the Lakehouse environment
* Stay updated on emerging technologies and methodologies in data engineering and incorporate relevant advancements into the organisation's infrastructure
Requirements:
* Extensive experience in data engineering with expertise in Azure Databricks, Microsoft Fabric, Python, and the Azure cloud data ecosystem
* Experience with CI/CD pipelines and DevOps practices in a cloud environment
* Familiarity with machine learning pipelines and integration with data platforms
* Proven ability to design and manage large-scale Data Lakehouses and distributed systems
* Strong background in ETL/ELT processes, data modelling, and performance optimisation
* Familiarity with data governance and DevOps practices within cloud environments
Note: Only shortlisted candidates will be contacted.