Data Engineer
City Campus, Australia
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RMIT University
RMIT is an international university of technology and design and Australia's largest tertiary institution.Overview:
Full-time, Continuing position
$103,603 – 112,144 + 17% Superannuation and Flexible Working Arrangements
Based at the Melbourne CBD campus, and hybrid ways of working
About You
Are you a highly skilled and passionate Data Engineer seeking to make a significant impact within a leading educational institution? RMIT University is actively seeking a talented individual to join its esteemed Data and Analytics team. This full-time, continuing position offers a unique opportunity to play a pivotal role in the design, delivery, and operation of robust data pipelines that underpin critical analytics, reporting, and data science initiatives across the University.
In this role, you will engage with diverse datasets and leverage cutting-edge cloud technologies, including Snowflake, dbt, BitBucket, and SageMaker. Your expertise in data transformation languages such as SQL and Python will be essential in ensuring data quality, integrity, and adherence to established data governance standards.
We are looking for a collaborative problem-solver with a strong grasp of conceptual, logical, and physical data modelling, and a commitment to DataOps principles. If you are ready to contribute to a forward-thinking team and shape the future of data at RMIT, we encourage your application
To be successful in this position, you’ll have:
1 – 2 Years working experience in a data engineering role.
Proven experience working with multiple data sets and distributed computing tools.
Experience with agile (data) development and operations (DataOps).
Extensive experience of data transformation languages such as SQL and Python.
Experience with Snowflake, dbt, BitBucket and SageMaker 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 covering letter addressing your suitability for this position by clicking on the ‘Apply’ link at the top of this page.
Position Description - Data Engineer
Please note, if you are viewing this advert from an external site, please click ‘apply’ and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements.
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Applications Close:
3 Aug 2025 11.59 pmRMIT 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.
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 talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers.
We are a Circle Back Initiative Employer – we commit to respond to every applicant.
Tags: Agile Bitbucket Data governance Data management DataOps Data pipelines Data quality dbt Engineering Pipelines Python SageMaker Snowflake SQL
Perks/benefits: Flex hours
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