Data Engineer

GDG on Campus | University of Sydney • Takoma Park, MD

12h • Hybrid

About The Position

Solve by Talent is partnering with the University of Sydney to recruit a Data Engineer to support the delivery of key Information and Communications Technology program (ICT) initiatives that help shape the future of education, research, and innovation. We are currently hiring for two positions within this Data Engineering role.

Why join the University of Sydney?
Join one of Australia’s leading universities at a pivotal point of change, where technology is evolving to better support student learning, empower teaching excellence, and enable research delivery at global scale. ICT is central to delivering the University’s academic mission. Working across faculties, disciplines, and research communities, you will shape the platforms, services, and partnerships that enable student success, strengthen teaching, and accelerate research impact. This work spans both the critical services that keep the University running every day and the ongoing improvement of systems and experiences. With strong investment and clear direction, you’ll operate in a large and complex environment where your contribution has visible, meaningful impact across the University. You’ll collaborate across academic and professional communities to help shape a more connected and capable University, supporting teaching excellence, research impact, and student success.

The Opportunity
As a Data Engineer, you’ll play a key role in building and scaling the University’s modern data platform. Working within a newly formed Data Services function, you’ll design data pipelines, establish engineering standards, and help embed Microsoft Fabric as a core capability. This is a hands-on role with real influence- where you’ll partner closely with architects and delivery teams, while uplifting capability across the broader function. You’ll join at a pivotal stage, with the opportunity to shape patterns, define best practice, and leave a lasting impact on how data is used across the University.

Requirements

• Experience designing and delivering modern cloud-based data storage solutions (e.g. data lakes and data warehouses).
• Proven experience building and managing data pipelines across multiple data sources.
• Hands-on experience with large-scale data processing using distributed computing frameworks.
• Strong understanding of data performance optimisation techniques.
• Proficiency in Python and SQL, with experience using Git and CI/CD for code and pipeline deployment is highly desirable.
• Familiarity with cloud data platforms and modern data engineering environments, along with data security and privacy best practices.
• Strong analytical thinking, problem-solving ability, and communication skills.
• Work Rights: you must have unrestricted work rights in Australia for the duration of this employment to apply.

Nice To Haves

• Microsoft Fabric certifications (DP-600 or DP-700).

Responsibilities

• Design and deliver scalable data storage and processing solutions to support efficient access to organisational data.
• Build and maintain end-to-end data pipelines that ingest, transform, and load data from multiple sources including APIs, databases, and streaming platforms.
• Enhance the efficiency and responsiveness of data systems by applying techniques such as query optimisation, data structuring, and performance improvements.
• Use distributed processing approaches to handle large-scale data transformation and processing.
• Monitor data systems, investigate issues, and resolve performance or data quality problems to ensure reliable operations.
• Implement appropriate data security and privacy controls across data storage and processing environments.

Benefits

• Comprehensive range of employee benefits, focusing on work-life balance, financial well-being, health, and career development
• Up to 17% superannuation to support your financial future.
• Extremely generous parental leave entitlements.
• Competitive salary with salary packaging options.
• Flexible and hybrid working arrangements.
• Career development and learning opportunities.
• Health and wellbeing programs including Fitness Passport.
• Access to a vibrant, globally recognised university community.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed