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Day 1
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Sydney, New South Wales, Australia
Live, first seen by us 1 day agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Drive design, delivery and evolution of scalable, secure data solutions
Set engineering standards for reliable, observable, cost-effective data platforms
Mentor engineers and conduct architecture and design reviews
Translate complex business requirements into cloud-based data solutions
Guide strategic roadmap for data engineering and adoption of new tools
you will drive the design, delivery and evolution of scalable, secure and cost-effective data solutions
establish engineering standards that keep our data platforms reliable, observable and cost-effective
you will mentor engineers, conduct architecture and design reviews
translate complex business requirements into scalable cloud-based solutions
help shape the strategic roadmap for data engineering at Qantas
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 1
Early. Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Advanced experience with AWS and cloud-native data architectures, including data, storage and integration services. - Deep expertise in dbt (core), SQL and Python, supported by strong software engineering, testing and DevOps practices. - Extensive experience working with modern orchestration and workflow management technologies such as Apache Airflow.
- Expert-level knowledge of Snowflake, including architecture, data modelling, security, governance and performance optimisation. - Advanced experience with AWS and cloud-native data architectures, including data, storage and integration services. - Deep expertise in dbt (core), SQL and Python, supported by strong software engineering, testing and DevOps practices.
- Experience with Apache Kafka and event-driven architectures. - Experience with observability, governance and FinOps tools such as Datadog, Alation and Cloudability. - Exposure to AI, machine learning or advanced analytics platforms.
- Experience with Snowflake Openflow and Snowflake DCM. - Experience with Apache Kafka and event-driven architectures. - Experience with observability, governance and FinOps tools such as Datadog, Alation and Cloudability.
- Proven experience leading enterprise-scale data engineering initiatives and influencing technical strategy. - Expert-level knowledge of Snowflake, including architecture, data modelling, security, governance and performance optimisation. - Advanced experience with AWS and cloud-native data architectures, including data, storage and integration services.
Highly Regarded - Experience with Snowflake Openflow and Snowflake DCM. - Experience with Apache Kafka and event-driven architectures.
- Extensive experience working with modern orchestration and workflow management technologies such as Apache Airflow. - Strong knowledge of infrastructure-as-code, automation and platform engineering practices using Terraform or similar tools. - Proven FinOps leadership, including establishing cost attribution, forecasting and optimisation practices for cloud and data platform consumption across multiple business domains.
- Deep expertise in dbt (core), SQL and Python, supported by strong software engineering, testing and DevOps practices. - Extensive experience working with modern orchestration and workflow management technologies such as Apache Airflow. - Strong knowledge of infrastructure-as-code, automation and platform engineering practices using Terraform or similar tools.
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Yes. We’ve followed one other Principal Data Engineer job there since October 2026. It came down after 13 days.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
The Principal Data Engineer plays a critical leadership role in shaping the future of Qantas' enterprise data platforms and engineering capabilities. Leveraging deep technical expertise and extensive experience in modern data architectures, you will drive the design, delivery and evolution of scalable, secure and cost-effective data solutions that enable trusted insights and business outcomes across the organisation. Working across the full lifecycle of our data platforms and products, you will influence strategic technology decisions, establish engineering standards that keep our data platforms reliable, observable and cost-effective
You will partner closely with Architects, Delivery Leads, Product Owners and senior business stakeholders to define technical direction, translate complex business requirements into scalable cloud-based solutions and drive enterprise-wide data initiatives. As a recognised technical leader, you will mentor engineers, conduct architecture and design reviews, and foster a culture of engineering excellence, continuous improvement and knowledge sharing across the Data & Analytics community.
Drawing on your experience with enterprise data platforms, cloud technologies and modern engineering practices, you will help shape the strategic roadmap for data engineering at Qantas while remaining close to the technology and guiding the adoption of emerging tools, platforms and capabilities that enhance our data, analytics and AI ecosystem.
What You'll Bring
Highly Regarded
Why Qantas?
You’ll join a team where creativity and passion are encouraged. Our people come together to allow us to dream big and deliver successfully.
There are many different opportunities across our team, which means you’ll be able to grow both personally and professionally at Qantas. Your development is a priority for us – so that you can maintain the high standards our customers have come to expect and can continue to develop over time. You’ll 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, we’ve got a great track record of supporting our people to take their career in so many different directions, the destinations are endless.
The Qantas employee benefits program offers amazing benefits that extend well beyond travel:
Applications will close by 16th November.
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Sydney, New South Wales, Australia
- Exciting opportunity within our Data & Analytics team - Permanent, full-time roles working at our Mascot Campus (hybrid working options available) - Staff Travel Benefits from Day One!
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