Phi Data Engineer

About Us WA Primary Health Alliance (WAPHA) is a not-for-profit organisation that operates 3 of the 31 Primary Health Networks (PHNs) spread across Australia.
We are guided by our Strategic Plan 2023 - 2026.
Established in 2015, the PHN Program 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.
Having a strong emphasis on system reform.
Due to the nature of our funding and activities, WAPHA operates in a dynamic environment.
Adaptability and flexibility are therefore 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.
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 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 organization.
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.
Key tasks and responsibilities: Lead and Manage Data Engineering Tasks: Oversee and execute data engineering tasks to support operational and project activities across the PHI Team.
Collaborate with Stakeholders: Work with the PHI Team, PHNs, vendors, and other users to identify, clarify, and document business requirements for data engineering.
Translate Requirements: Convert business requirements into detailed data engineering solution requirements in collaboration with business analysts.
Develop Data Solutions: Create or modify data pipelines, data models, and processing scripts to meet agreed solution requirements.
Ensure Quality: Test and remediate data engineering products to ensure they meet quality and performance standards before deployment.
Resolve Issues: Investigate and address data engineering-related issues reported by PHI users, developing effective solutions or workarounds.
Support User Needs: Ensure that data engineering products are fit for purpose and compatible with user needs and capabilities.
Adhere to Best Practices: Conduct all activities in accordance with adopted methods, processes, and industry standards.
Provide Documentation and Training: Prepare technical and non-technical documentation, including training materials, and provide direct support to PHNs and other users.
Engage with the Community: Participate 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: Essential experience and education 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 (e.g., Agile, PRINCE2, PMBoK).
Preferred knowledge and skills: Strong interpersonal and communication skills and demonstrated ability to work with stakeholders at all levels Demonstrated research, analytical and problem-solving skills; Prior experience using a work or project management tool (e.g.
Jira, Azure DevOps, Microsoft Project, Asana, etc.)
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.
To Apply Please submit your application by clicking the 'Apply' button.
Your application should include your resume.
As part of our recruitment process, you may be invited to complete an online assessment.
This assessment consists of interactive questions designed to give us further insight into your experience and approach.
It will simulate scenarios that you may encounter in the role.
Applications close 11:59pm Tuesday 29th October 2024.
WAPHA reserves the right to commence shortlisting prior to the advertised close date.
For further information please email ******.
Please note that applications must be submitted via the link provided – applications received by email will not be accepted.
Applicants must hold current, unrestricted working rights in Australia to be eligible for this role.
Candidates without valid authorisation to work in Australia will not be considered.
Compliance with all relevant employment laws and regulations is mandatory.
Successful candidates will be required to provide relevant qualifications, along with documentation including a valid visa (if applicable), passport, and police check upon request.