Full-time, Fixed Term position until December 2027
Salary Hew 8 + 17% Superannuation and Flexible Working Arrangements
Based at the Melbourne CBD campus, and hybrid ways of working
About You
Join a globally recognised data and analytics team at the forefront of the University's AI transformation. As a Senior Data Engineer, you'll lead the design and delivery of scalable, AI-ready data products that enable advanced analytics, decision-making and innovative AI use cases across the organisation. You'll work across multiple delivery squads, partnering with technical and business stakeholders to build reusable data assets, establish best-practice engineering standards and help shape the future of the University's data platform.
We're looking for an experienced data engineering professional ideally with expertise in Snowflake, dbt, SQL, data modelling and DataOps practices. You'll thrive in an environment that combines hands-on technical delivery with complex problem solving, stakeholder collaboration and the opportunity to influence how enterprise data solutions are built. This is a chance to work with cutting-edge technologies, accelerate AI adoption and be part of a team recognised among the world's leading data and analytics functions.
To be successful in this position, you’ll have:
Proven experience (3+ years) working with multiple data sets and distributed computing tools.
Extensive experience (5+ years) of data transformation languages such as SQL and Python.
Strong analytic capability, with the ability to integrate team efforts to achieve goals and overall program activities into the larger organisation.
Demonstrated experience in the design, delivery and operation of data sets for education institutions will be highly regarded.
Experience in development of semantic models and the configuration of Snowflake’s AI components will be highly regarded.
Experience with agile (data) development and operations (DataOps) will be highly regarded.
Experience with cloud approaches and capabilities will be highly regarded.
Ability to design conceptual, logical and physical data models will be highly regarded.
Experience with Snowflake, dbt, GitHub and SageMaker will be highly regarded.
Experience with cloud services, in particular AWS, will be highly regarded.
Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check.
About the Group
Office of the Chief Data & Analytics Officer supports and enables RMIT’s business strategy by leading and driving the data and analytics agenda for the enterprise. This involves being accountable and responsible for:
Developing and implementing RMIT’s data and analytics strategy and ensuring ongoing alignment with university
Defining requirements and standards for data and analytics technologies to be delivered by Information Technology
Coordinating and governing data management activities for analytics and reporting
Developing and coordinating advanced analytics capabilities to resolve key university challenges
To Apply
Please submit your CV and a cover letter outlining your suitability for the position, including specific examples of data pipelines, data models or data products you have delivered, your experience working with enterprise data platforms and DataOps practices, and any exposure to technologies such as Snowflake, dbt or SQL.
Position Description - Senior Data Engineer
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2 Aug 2026 11.59 pm
RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community, and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.
In line with RMIT University’s commitment to a safe, respectful and inclusive environment, from 1 January 2026, the University will also consider gender-based violence (GBV) risk factors as part of our recruitment processes. All applicants will be required to complete a gender‑based violence declaration in accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence. Preferred candidates will also be required to undertake relevant pre‑employment background checks, including Working With Children Checks. Information provided will be treated confidentially and considered only for its relevance to the role and RMIT’s safety obligations.
At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT (including alternate formats of application forms). To discuss adjustment requirements, please contact Dani, via [email protected] or visit our Careers page for more contact information - https://www.rmit.edu.au/careers.
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