Data Engineer/Analyst

UOW Global Enterprises is at the forefront of delivering quality higher and vocational education and training on an international scale with our institutions offering more than 200 programs including higher education, vocational training, English language and professional development programs to over 15,000 students annually. Established in 1988, UOWGE owns and operates the University of Wollongong in Dubai (UOWD), UOW College Australia (UOWCA), UOW College Hong Kong (UOWCHK), UOW Malaysia (UOWM) and UOW India (UOWI).

Permanent Full Time - 38 hours/week

DATA ENGINEER/ANALYST

1. Develop and grow the UOWGE data platform/infrastructure to deliver quality analytics
2. Build and maintain data pipelines and ETL processes using SQL and Python
3. Promote and embed secure data governance and data integrity practices

An exciting opportunity exists to join UOW Global Enterprises (UOWGE) as a Data Engineer/Analyst. If you have a minimum of two years of experience in a data engineering/analytics role this could be the next step in your career and an opportunity to refine your skills and capabilities.

The primary purpose of this role is to support the delivery of UOWGE's data and analytics priorities. In line with industry best practices, you will develop and grow the UOWGE data platform/infrastructure to deliver quality analytics. You will build and maintain data pipelines and ETL processes using SQL and Python, promoting and embedding secure data governance and data integrity practices. Additionally, you will mature the data and analytic capabilities through maintenance and management of the Data Warehouse structure and design, as well as gathering various data sources, analysing data, and contextualising corporate and academic data.

The position works closely with the Data and Analytics teams globally and reports to the Director Data Intelligence.

Why Work at UOWGE

At UOWGE we provide a caring workplace, fostering a culture that rewards initiative, innovation and accountability where staff are valued, empowered and respected.

We offer:

• Formal and informal learning opportunities to support career goals and progression
• Access to competitive staff benefits - this may include flu vaccinations and ability to salary sacrifice UniActive gym membership
• Potential for future career opportunities overseas

Based at our Wollongong campus you will have easy access to a wide range of amenities including food and beverage outlets, on campus shops and health and fitness services.

Selection Criteria

Essential:

• Relevant Bachelor qualifications
• Minimum of two years of practical experience in a data-related role.
• Strong understanding of data quality concepts, data infrastructure, Data Warehousing and SQL
• Demonstrated experience in delivering data solutions to drive culture and support strategy
• Excellent communication skills
• Significant demonstrated experience in data modelling, data collection, data extraction, data matching, analysis and reconciliation.
• Strong skills in hands-on data manipulation, cleansing, transformation and visualisation
• Previous experience working on large scale, complex projects, with the ability to work under pressure, autonomously and in ambiguous environments.
• Proven record for taking the initiative and skilled problem-solving capabilities.
• Demonstrated organisational skills including contribution to the development of processes in a planning and analysis area.
• Highly developed interpersonal skills including demonstrated ability to work as an active member of a team.
• A commitment to Values of Passion, Courage, Integrity, Exceptional, Collaboration and Innovation.

Desirable:

• Extensive knowledge and experience in undertaking qualitative and quantitative analysis methods within the higher education sector.
• Relevant post-Bachelor qualifications.
• Demonstrated skill and experience using a business intelligence system/data visualisation e.g. Tableau, Power BI or similar.
• Experience with data analytics tools e.g. R and Python
• Experience in international and transnational higher education.
• Intermediate/Advanced User of Microsoft Excel

All applications must include:

• Cover letter
• Document addressing the selection criteria
• Resume

Applications will be reviewed as they are received and may be shortlisted for an interview before the closing date of 09 January 2026.