Company Description
About Us
Founded in the Queensland outback in 1920, Qantas has grown to be Australia’s largest regional, domestic, and international airline. Qantas has a range of subsidiary businesses that support the overall operations of the Group. The Qantas Group’s main business is the transportation of customers and freight using two complementary airline brands — Qantas and Jetstar — operating regional, domestic, and international services.

Job Description

• Be part of Qantas’ AI transformation in aircraft performance
• Leverage AI and machine learning to revolutionize flight efficiency
• Combine aerospace engineering with advanced data analytics
• Multiple Opportunities Available | Full-Time, Fixed-Term Contract | Sydney-based
• Visa sponsorship available for eligible international candidates

At Qantas, we’re not just flying planes—we’re reimagining how they perform. As part of our Aircraft Performance and Sustainability Engineering team, you’ll help unlock new efficiencies through AI, machine learning, and data science. From optimizing fuel burn to supporting smarter flight planning, your work will directly contribute to safer, greener, and more intelligent aviation.
We’re proud to represent Australia to the world, and our people reflect that spirit—innovative, collaborative, and driven. Whether you’re an experienced engineer or a data scientist looking to make your mark in aviation, this is your opportunity to shape the future of flight.
Qantas is embarking on a transformative journey to integrate artificial intelligence into our aircraft performance and sustainability operations. As part of this strategic shift, we are seeking innovative and data-driven Aircraft Performance Engineers – Flight Data Engineer to join our team. These newly created roles will play a pivotal part in shaping the future of flight efficiency, environmental impact, and operational excellence.

SKILLS & EXPERIENCE

• Degree in Aerospace Engineering, Mechanical Engineering, Data Science, or a related field.
• Strong programming skills in Golang, Python, R, or similar.
• Experience with, and demonstrable adoption of, emerging AI technologies.
• Familiarity with aviation data sources (e.g., QAR, FDR, ACARS) and aircraft performance principles.
• Ability to translate complex data into actionable insights.
• Excellent communication and stakeholder engagement skills.

• Develop and deploy AI and machine learning models to optimize aircraft performance.
• Analyse large-scale flight and operational data to identify trends, inefficiencies, and opportunities for improvement.
• Collaborate with engineering, flight operations, and sustainability teams to implement data-driven solutions.
• Support the integration of AI tools into existing systems and workflows.
• Create dashboards and visualizations to communicate insights and performance metrics.
• Contribute to Qantas’ sustainability goals by identifying carbon reduction opportunities through data science.