Junior Data Engineer

The Finance Division provides a wide range of financial and business services to all areas of Bayside Health. Finance services include financial and management accounting, financial compliance, financial analysis & decision support, data management, organisational reporting, clinical costing, support for financial information systems and transactional services (including Accounts Payable, Accounts Receivable and Medical Billing). Data and Analytical Services (DAS) is part of finance and provides specialised data management, analysis and reporting services to Bayside Health and also provides application support for key corporate applications.

The position is responsible for supporting the development, maintenance, and monitoring of data pipelines that enable analytics, research, and operational reporting across Bayside Health. The role assists in ensuring data is transferred accurately and reliably from source systems into the organisation's data warehouse and cloud platforms.

Working as part of a multidisciplinary team, the position contributes to the delivery of data solutions that support clinical registries, researchers, business intelligence teams, and operational reporting. The role provides an opportunity to develop technical skills in data integration, data modelling, cloud technologies, and data platform operations while maintaining a strong focus on data quality and continuous improvement

Key Duties And Responsibilities

Data Pipeline Development

• Assist in building and maintaining data pipelines to extract, transform, and load data from source systems into data warehouse and cloud environments.
• Support the implementation and monitoring of real-time and near-real-time data replication processes.
• Assist in developing and maintaining data models used for reporting, visualisation (Power BI), and analytics.
• Support the development and maintenance of APIs and integration services connecting clinical, corporate, and analytical systems.
• Contribute to data platform and solution design activities under the guidance of senior team members.

Operations & Support

• Monitor data pipelines, scheduled jobs, and data quality processes to ensure reliable data delivery.
• Investigate and assist in resolving data integration issues, processing failures, and performance concerns.
• Provide support for data-related applications, including REDCap and other data collection tools.
• Participate in the DAS on-call roster (fortnightly rotation) with support from senior team members.
• Assist with routine maintenance, upgrades, and operational activities across data platforms.

Governance & Quality

• Apply data quality checks and validation processes to support data integrity.
• Maintain technical documentation for data pipelines, integrations, and operational procedures.
• Use version control tools and participate in code review activities as part of the development process.
• Support data governance initiatives, including metadata maintenance and documentation activities.
• Continuously develop technical skills and knowledge of data engineering tools, practices, and technologies.

Role Characteristics

• Developing technical knowledge and practical experience in data engineering.
• Works under general supervision with support from senior team members.
• Contributes to team objectives while building capability in data integration and platform technologies.
• Demonstrates attention to detail, curiosity, and a willingness to learn and improve.

Qualifications/Experience Required

Mandatory

• Minimum 2 years' experience in a data engineering, data integration, business intelligence, analytics, or similar technical role.
• Tertiary qualification in Information Technology, Computer Science, Data Science, Engineering, or a related discipline, or equivalent practical experience.
• Demonstrated experience working with SQL databases, data extraction, transformation, and loading (ETL) processes.
• Experience supporting and maintaining data pipelines, integrations, or reporting solutions.
• Basic programming or scripting experience in SQL, Python, PowerShell, or similar technologies.
• Demonstrated ability to analyse and troubleshoot data-related issues and work collaboratively to resolve them.
• Experience working within structured development, testing, and change management environments.

Desirable

• Exposure to data warehousing concepts, data modelling, and cloud-based data platforms.
• Knowledge of healthcare data, reporting requirements, or clinical information systems.
• Experience with electronic medical record systems such as Oracle Health (Cerner) or similar healthcare applications.
• Experience with Microsoft data technologies, including SQL Server, SSIS, SSAS, Power BI, or Azure data services.
• Experience creating and maintaining technical documentation using Confluence, SharePoint, or similar platforms.
• Exposure to version control tools such as Git and collaborative development practices.
• Relevant certifications or training in Microsoft Azure, Data Analytics, or Data Engineering technologies.

Staff Benefits

• Salary packaging & novated leasing through Maxxia 
• Onsite car & bike parking opportunities, deducted pre-tax!! *subject to availability  
• Access for you and your family to an extensive network of health and fitness facilities through Fitness Passport membership 
• Enjoy excellent onsite fitness facilities at The Alfred via ProSport (pre-tax memberships)  
• Childcare services at The Alfred managed by KU Children’s Services 

If applicable, please specify specific requirements that you require in your cover letter or CV.

For enquiries regarding this position, please contact Bismi Jomon (Manager – Data Platforms and Integration) on [email protected]

Applications close at 11:00pm AEDT Saturday, 21 November 2026.