Database Development & Administration (Information & Communication Technology)
Other (Education & Training)
Full time Be part of a collaborative, innovative, and supportive work environment. The position is based at our Footscray Park Campus. About Us: At Victoria University (VU), our aim is to be a global leader in dual-sector learning and research by 2028. Join us on the journey and help us achieve our strategic drivers embedded in our Strategic Plan 2022-2028: Start well, finish brilliantly. One of the drivers "Thriving place to Study and Work" will enable us to continue to create places that our students and staff love to belong and feel immense pride.
About the Role: The overall purpose of the Business Intelligence Data Engineer is to support VU's ongoing transformation into a strategy-led, data-driven organisation. The role will be responsible for data warehousing, data engineering, data extraction, data processing and automation, data security and access.
Reporting to the Lead Business Intelligence Data Engineer, some of the role's responsibilities are: Support the Lead Business Intelligence Data Engineer with transforming complex data into information, facilitating VU's success in a competitive environment. In collaboration with other team members, ensure that VU's analytics environments, data subject areas and dashboard reports in VU's Oracle Analytics and Big Data Hub platforms are secure, accessible, factual and accurate. Manage and build strong and collaborative relationships with staff across VU, vendors and contractors to collectively improve VU's data assets, analytics capabilities, data visualisation and reporting. Maintain Business Intelligence Solutions' on-premises or Cloud-based hardware, software, platforms and information updated and secure. This is a 14-months part-time, fixed term position (36.75 hours per week) at the classification of HEP Level 8 with the salary range being $106,346 – $119,960 (pro-rata) per annum plus 17% superannuation. About You: We would like to hear from you if you possess:
Expertise in working in complex data engineering, applying logical, analytical problem-solving methods. Proven communication, relationship management and teamwork skills. Proven experience with cloud-based data platforms and data warehouse solutions, including expertise in the development, implementation, and ongoing management of these systems. Well demonstrated capacity to work on multiple projects simultaneously. What We Offer: VU strives to create a family friendly, diverse and inclusive workplace where all staff can succeed. VU offers a range of benefits and leave that aim to enhance and support your work and personal life.
Application Process: To view the position description and/or to apply for the position, visit our career website. In a SINGLE document, your application must include:
A cover letter outlining your motivation to apply for this opportunity. Your resume. A statement addressing the Key Selection Criteria listed in the position description. Evidence of applicable qualifications, licenses, and registrations. Note: Applications which do not address the selection criteria will NOT be considered and no applications will be accepted if submitted through email. Applications Close: Monday 2 December 2024 at 11.59pm (AEST) For Position Enquiries Only: For further information relating to the position, please contact Muhammad Bilal, Lead Business Intelligence Data Engineer by email at
Our Commitment to Protecting Country: Victoria University honours its deep diversity as a foundation for collaboration and social progress. We will demonstrate sensitivity in respecting First Nation perspectives. We will ensure that we respect our Indigenous voices and commit to sustainable Protecting Country. We will take leadership responsibility, in all that we do, to improve the health and wellbeing of our local and global communities, and the planet that we share.
Our Commitment to Diversity and Inclusion at VU: The University encourages applications from women, gender diverse, Aboriginal and Torres Strait Islander people and individuals from under-represented backgrounds in this field and at this leadership level. The University believes that diversity of the workforce adds value to the University and creates a stronger, richer working environment for everyone.
The University is committed to making reasonable adjustments to provide a positive, barrier-free recruitment process for candidates with particular access needs. Candidates who require adjustments are encouraged to contact the designated contact person for the role to discuss their needs.
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