15 Nov
|
Peter MacCallum Cancer Centre
|
Melbourne
15 Nov
Peter MacCallum Cancer Centre
Melbourne
Select how often (in days) to receive an alert:
- Full-time, Ongoing position available - 80 hours per fortnight.
- Up to $130,000.00 to $150,000.00 salary per annum + Salary Packaging + Super + Five Weeks Annual Leave.
- Parkville location with flexible working arrangements.
The Peter MacCallum Cancer Centre (Peter Mac) is a Victorian public health service and a world-leading comprehensive cancer centre, dedicated to excellence across all spheres of clinical care, research and education. We are home to the largest cancer research enterprise in Australia and provide treatment to around 40,000 people with cancer each year. Welcoming staff from diverse backgrounds and experiences is integral to fostering innovation and compassion, and delivering the best possible cancer care for our patients.
About the team
The Digital and Connected Health (DCH) team is transforming the way data is managed, accessed and used across Peter Mac. Working closely with clinical, research, technology and analytics stakeholders, the team is implementing a new Data Management and Analytics Platform (DMAP) in Azure Databricks to support secure, scalable and self‑service access to enterprise data.
About the role
We are seeking an experienced Data Engineer to play a key role in implementing a Data Management and Analytics Platform built on Azure Databricks, enabling secure, scalable and self‑service access to high‑quality data. The Data Engineer will work closely with clinical, research, operational, analytics and technology stakeholders to translate enterprise data requirements into reliable, scalable solutions that support advanced analytics, research, innovation and data driven decision making across the organisation.
This is an ongoing position within our Digital and Connected Health team, reporting to the Program Lead.
This position offers an exciting opportunity to contribute to a significant digital trasformation initiative while helping shape the future of data‑driven cancer care and research.
A regular day will see you:
- Designing, building and maintaining scalable data pielines and analytics‑ready datasets.
- Developing and supporting enterprise‑scale cloud data platforms using Azure Databricksand modern engineering practices.
- Implementing data governance, security, privacy and quality controls across data asset.
- Building and maintaining CI/CD pipelines, automation frameworks and infrastructure as ode solutions.
- Collaborating with clinical, research, business and technology stakeholders to deliverhigh‑value data solutions.
- Supporting data architecture, technical design decisions and platform optimisation iniiatives.
- Creating and maintaining technical documentation, operational runbooks and support proedures.
About you
You are a technically strong and collaborative data professional who enjos solving complex problems and enabling organisations to make smarter decisions through data. You bring a proactive approach to stakeholder engagement, continuous improvement and delivering high‑quality solutions.
You'll bring with you:
- Relevant tertiary qualifications in Computer Science, Information Technology, Data Engineering, Software Engineering or equivalent experience.
- Demonstrated experience designing, building and supporting enterprise‑scale cloud dataplatforms.
- Strong expertise in data warehousing, ETL/ELT processes, data modelling and enterpriseintegration patterns.
- Hands‑on experience with SQL, Python and modern data engineering technologies such as park.
- Experience implementing CI/CD pipelines, infrastructure as code and automated deploymet practices.
- Knowledge of data governance, privacy, security, metadata and data quality frameworks.
- Strong stakeholder engagement and communication skills with the ability to work acrosstechnical and non‑technical teams.
It would be great if you also have:
- Experience working in healthcare, research o academic environments.
- Exposure to healthcare interoperability standards including HL7v2, FHIR, DICOM or OMOP
- Experience with AI, machine learning, advanced analytics or large language model (LLM)enabled data solutions.
We offer a range of benefits designed to support your career, wllbeing and work‑life balance, including:
- Salary packaging benefits to increase your take‑home pay.
- Five weeks annual leave.
- Adaptable and hybrid working arrangements.
- Access to health and wellbeing initiatives.
- A collaborative, inclusive and purpose‑driven workplace.
- The opportunity to contribute to world‑leading cancer research and care.
Inclusion and belonging
At Peter MacCallum Cancer Centre, we celebrate diversity a
📌 Data Engineer (Melbourne)
🏢 Peter MacCallum Cancer Centre
📍 Melbourne