Data Engineer

4 weeks ago

Perth, Western Australia WA Primary Health Alliance Full time
About Us

WA Primary Health Alliance (WAPHA) is a not-for-profit organisation that operates 3 of the 31 Primary Health Networks (PHNs) across Australia. Our mission is 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 enhance 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.
  • Having a strong emphasis on system reform.

Due to the dynamic nature of our funding and activities, adaptability and flexibility are necessary 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.

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 optimizing 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.

Key Responsibilities
  • Lead and manage data engineering tasks to support operational and project activities across the PHI Team.
  • Collaborate with stakeholders, including the PHI Team, PHNs, vendors, and other users, to identify, clarify, and document business requirements for data engineering.
  • Translate business requirements into detailed data engineering solution requirements in collaboration with business analysts.
  • Develop data solutions, including creating or modifying data pipelines, data models, and processing scripts, to meet agreed solution requirements.
  • Ensure quality by testing and remediating data engineering products to ensure they meet quality and performance standards before deployment.
  • Resolve issues by investigating and addressing data engineering-related issues reported by PHI users, developing effective solutions or workarounds.
  • Support user needs by ensuring that data engineering products are fit for purpose and compatible with user needs and capabilities.
  • Adhere to best practices by conducting all activities in accordance with adopted methods, processes, and industry standards.
  • Provide documentation and training by preparing technical and non-technical documentation, including training materials, and providing direct support to PHNs and other users.
  • Engage with the community by participating in the PHI Data & Analytics Community of Practice, maintaining relationships with data engineering staff, and supporting the adoption of PHI tools and methods.
About You

To be considered for this role, candidates must meet the following selection criteria:

  • 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.
  • Experience working with industry-standard project management methodologies or frameworks, such as Agile, PRINCE2, PMBoK.
What We Offer
  • Enjoy a hybrid work model, combining the flexibility of working from home with access to our state-of-the-art Subiaco office.
  • We're dedicated to your growth, with a strong commitment to employee development and professional learning opportunities.
  • Take advantage of generous salary packaging, with up to $15,900 for general living expenses and $2,650 for entertainment, tax-free each year.
  • Access to an Employee Assistance Program for professional and confidential support when you need it.
  • Additional paid parental leave to help balance work and family life.
  • Enjoy a paid day off during our Christmas shutdown period.
  • Benefit from our $200 annual health and wellbeing reimbursement.
  • Unlock thousands of learning opportunities with full access to LinkedIn Learning.
  • Study leave options available to support your academic pursuits.
  • Option to purchase additional leave for greater work-life balance.
  • Access long service leave after 7 years if eligible, with a full 13 weeks available after 10 years of continuous service.

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