Data Engineer (Building Platforms)
Data Engineer at the University of Melbourne's Campus Operations & Delivery team (0.8–1.0 FTE, 12-month fixed term), building AWS-first smart campus data platforms: OT telemetry pipelines, data models, governance and self-service dashboards for building/asset performance. Stack: AWS (Aurora PostgreSQL, Lambda, IoT Core), SQL, Python, AWS CDK.
- Compensation
- A$125.2K–A$135.5K / yr
- Location
- Melbourne, Australia
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Part time
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Current valid work rights for Australia (no visa sponsorship)
- Working with Children Check
- Experience designing and operating AWS data platforms (Aurora PostgreSQL, Lambda, IoT Core)
- Advanced SQL and strong Python skills for data models, pipelines and automated workflows
- Infrastructure as code (AWS CDK), version control and sound engineering practices
- Confidence working autonomously as a sole data engineer, owning architecture decisions
- Communicate complex technical ideas simply to non-technical stakeholders
- Adapt within changing teams and operational environments, collaborating with facilities, systems and contractor partners
Full description
Role type: Part-time (0.8 FTE) or full-time (1.0 FTE); Fixed term (12 months) Department/School: Enterprise Services Group – Campus Operations & Delivery Salary: UOM 8: $125,191 - $135,504 p.a. plus 17% superannuation
Join as Data Engineer and lead AWS-first data platforms transforming campus operations and asset performance. Investing in you – 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.
The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website.
What you will deliver:
- Design, implement and maintain scalable OT telemetry pipelines bringing building systems data into the Smart Campus platform.
- Develop and optimise data models, pipelines and dashboards for asset condition, maintenance spend and accessibility compliance.
- Act as technical lead for data architecture, tooling and governance, documenting decisions and ensuring secure, reliable platforms.
- Build clear, self-service reporting and dashboards for facilities, asset and operational stakeholders across Campus Operations & Delivery.
- Collaborate with non-technical colleagues to understand needs, prioritise work and quantify energy, cost and performance impacts.
Technical skills and experience:
- Bring demonstrated experience designing and operating AWS data platforms using services such as Aurora PostgreSQL, Lambda and IoT Core.
- Apply advanced SQL and strong Python skills to build robust data models, pipelines and automated workflows.
- Use infrastructure as code (AWS CDK), version control and sound engineering practices to manage reliable, maintainable data systems.
- Demonstrate confidence working autonomously as a sole data engineer, setting direction and owning architecture decisions.
- Communicate complex technical ideas simply, engaging non-technical stakeholders and turning requirements into practical solutions.
- Adapt effectively within changing teams and operational environments, collaborating with facilities, systems and contractor partners.
Benefits you will receive:
- Investing in you – 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.
- Build future financial security with 17% superannuation
- Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being
- Career development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning