Data Engineer
4 weeks ago
WA Primary Health Alliance (WAPHA) is a not-for-profit organisation that operates 3 of the 31 Primary Health Networks (PHNs) across Australia. Our organisation is guided by our Strategic Plan 2023 - 2026, which aims to strengthen and sustain primary health care through partnerships and strategies that demonstrate a one health system philosophy, improve people's access to services, and hence their health outcomes.
We achieve our aims by supporting general practice to deliver the highest quality patient care, funding local primary health care services based on community needs, connecting local services to simplify the health care system, and having a strong emphasis on system reform. Due to the nature of our funding and activities, WAPHA operates in a dynamic environment, requiring adaptability and flexibility to respond to changes as they occur.
We encourage applications from every background and ability, including but not limited to, Aboriginal and Torres Strait Islander people, LGBTIQA+ people, people from multicultural backgrounds, and people with disability. Further information about our values, workplace, and culture can be found at www.wapha.org.au/joinourteam/
About The Role
We are seeking a skilled Data Engineer to join our Digital Services team. The PHI Data Engineer plays a crucial role in developing and optimising data engineering processes within the Primary Health Insights (PHI) platform. This involves creating and maintaining data pipelines, transformation scripts, and models to support data ingestion and processing. The role requires collaboration with both technical and non-technical stakeholders to ensure data solutions meet business needs and performance standards. The engineer is responsible for troubleshooting data issues, enhancing existing tools, and supporting the adoption of data engineering practices across the organisation. By leveraging their expertise, the PHI Data Engineer helps to improve data accessibility and usability, ultimately contributing to better healthcare outcomes.
This role will be offered on a full-time, maximum-term contract to 30 June 2025 and offers the flexibility to work from home and office. The successful candidate will have the opportunity to work on a range of projects, including data pipeline development, data quality improvement, and data visualisation. They will also have the chance to collaborate with a talented team of data engineers, analysts, and stakeholders to drive business outcomes and improve healthcare services.
Key Responsibilities
The successful candidate will be responsible for leading and managing data engineering tasks, collaborating with stakeholders, translating requirements into detailed data engineering solution requirements, developing data solutions, ensuring quality, resolving issues, supporting user needs, adhering to best practices, providing documentation and training, and engaging with the community. They will also be responsible for participating in the PHI Data & Analytics Community of Practice, maintaining relationships with data engineering staff, and supporting the adoption of PHI tools and methods.
Requirements
To be considered for this role, candidates must meet the following selection criteria: a tertiary degree in Computer Science, Mathematics, Commerce, or a related field, or equivalent industry certifications and qualifications; demonstrated experience in data analysis or data engineering, preferably within a healthcare context; proficiency in at least one modern data engineering scripting language such as SQL, Python, or R; experience with Microsoft data engineering tools and platforms, including SQL Server, Azure Data Factory, Azure Synapse, Azure Databricks, Power BI; strong understanding of data modelling principles, including database schema design and data warehouse concepts; and experience working with industry-standard project management methodologies or frameworks (e.g., Agile, PRINCE2, PMBoK).
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