Defect Management and Predictive Engineer
Sydney, Australia
Qantas
Enjoy an all-inclusive service on Australia's favourite airline, with entertainment, refreshments and checked baggage on every Qantas flight.Company Description
About Us
Founded in the Queensland outback in 1920, Qantas has grown to be Australiaâs largest regional, domestic, and international airline. Qantas has a range of subsidiary businesses that support the overall operations of the Group. The Qantas Groupâs main business is the transportation of customers and freight using two complementary airline brands â Qantas and Jetstar â operating regional, domestic, and international services.
Job Description
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- Challenge yourself by using data analysis to develop predictive maintenance and reduce critical aircraft defects
- Work together by using our digital solutions to increase efficiency of day-to-day defect management
- Permanent, full-time opportunity located at the Qantas Campus in Mascot
- Principal level position under the Professional Engineers EBA 11
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To be different, we need to create. Itâs our willingness to try new things and our commitment to learn from mistakes that gives us the courage to push the boundaries.
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Qantas Engineering keeps us at the forefront of aviation, caring and maintaining both the Qantas fleet, as well as aircraft for our customers across the Asia-Pacific region. Working with state-of-the-art equipment and resources, our shared commitment to professional excellence continues to keep our customers safe.
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Taking ownership is critical. Whether weâre working individually or as a group, we challenge ourselves to make progress and deliver results.
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The Defect Management and Predictive Principal Engineer is a technical role within the Defect Management and Predictive team in Engineering Operations Centre. The role supports management of repeat and preventive defects and is responsible for the management of the predictive defects with an emphasis on the use and development of data analytics. The role will involve the development of digital solutions and collaboration with stakeholders to influence key fleet performance indicators by increasing the efficiency of critical and predictive defect management.
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Youâll have:
- Professional qualification in Engineering, preferably Aeronautical Engineering, Aerospace, Mechanical, Avionics, Electrical or equivalent. Software coding (Python, SQL), data analytics or data science skills are highly desirable.
- Strong demonstrated skills in problem solving and analytical thinking, both individually and as part of a team.
- Knowledge of data analytics platform or database management, knowledge of GE EMS, Palantir or Skywise platform is preferable.
- Ability to use software tools to analyse and process large amounts of information.
- Deep Knowledge of Airbus or Boeing Aircraft Systems is desirable.
- Understanding of aircraft defect or predictive maintenance and their impact on aircraft On-Time Performance, availability or maintenance cost is desirable.
- Ability to engage and coordinate team-members to produce safe, compliant and desirable outcome, strong team focused approach.
- Excellent communication and relationship skills.
- Demonstrated commitment to proactively finding solutions to problems.
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Why Qantas?Â
Youâll join a team where creativity and passion are encouraged. Our people come together to allow us to dream big and deliver successfully.Â
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There are many different opportunities across our team, which means youâll be able to grow both personally and professionally at Qantas. Your development is a priority for us â so that you can maintain the high standards our customers have come to expect and can continue to develop over time. Youâll be supported from day 1 with on the job training and coaching as well as our formal training opportunities. While you may start in this role, weâve got a great track record of supporting our people to take their career in so many different directions, the destinations are endless.âŻ
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The Qantas employee benefits program offers amazing benefits that extend well beyond travel.Â
- We love to travel: Enjoy heavily discounted air travel within Australia and across the globe, both for you and your family and friends, as well as exclusive deals on accommodation and holidays.
- We have flexible leave options: Make use of leave and flexible working opportunities including 18 weeks paid parental leave (plus superannuation payments on all paid and unpaid parental leave until your child turns 1) and additional purchased leave options for eligible employees.
- Weâll give you access to thousands of rewards: Through our partnerships we can offer you discounts across shopping, food and wine, insurance, health and wellbeing, leisure and entertainment.âŻYou can also take advantage of our salary packaging program including motor vehicles, eligible portable electronic devices and professional memberships.Â
- Weâll support your wellbeing: Whether itâs learning to better support your own and othersâ mental health, our interactive wellbeing app or your very own tailored nutrition plan.Â
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Please note:
The Qantas Group is an equal opportunity employer committed to providing a working environment that embraces and values diversity and inclusion. By coming to work for us, youâll be part of an organisation that encourages diversity, supports charities and environmental initiatives. We encourage Aboriginal and Torres Strait Islander, and people of all backgrounds to apply. If you have any support or access requirements, we encourage you to advise us at time of application. Your personal information will be kept confidential in compliance with relevant privacy legislation.
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If youâre up for an engineering challenge with strong motivation to contribute to Qantasâs core sustainability objectives, register your interest and weâll be in touch.
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Applications close: Thursday 7th of August 2025. Â
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: Data analysis Data Analytics Engineering Predictive Maintenance Privacy Python SQL
Perks/benefits: Career development Flex hours Health care Parental leave Startup environment
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