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Principal Data Engineer

Sydney, New South Wales, Australia

Live, first seen by us 1 day ago
Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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
Apply at Qantas Group

Posting record

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Status in our records
Live
First seen by us
Nov 3, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 4, 2026
Reposted
once since Oct 15, 2026

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.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 5 and day 54.

From 10,733 similar postings that came down. Coming down is not always a hire.

Qantas Group is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down quickly
  • 100% of open jobs were reposted
Hiring record

See how this role fits your experience

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.

  • Python
  • SQL
  • AWS
  • Datadog
  • dbt
  • Kafka
  • Snowflake
  • Terraform
  • Airflow
Where the posting names them
- 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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Has Qantas Group posted this job before?

Yes. We’ve followed one other Principal Data Engineer job there since October 2026. It came down after 13 days.

  1. SydneyCame down after 13 days, first seen Oct 15
  2. This jobUp 1 day so far, first seen Nov 3

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

Job Description

  • 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! 

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

  • Extensive experience in data engineering, data platforms or related technology disciplines within large and complex enterprise environments.
  • 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.
  • 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.
  • Proven FinOps leadership, including establishing cost attribution, forecasting and optimisation practices for cloud and data platform consumption across multiple business domains.
  • Demonstrated experience setting the integration approach for complex enterprise ecosystems, including SaaS platforms, APIs, networking, security and legacy source system
  • Experience assuring engineering delivery across internal and partner teams, including setting acceptance criteria, reviewing designs and determining production readiness.
  • Demonstrated experience establishing data quality, observability and data contract frameworks, and operating production platforms to agreed service levels, including leading incident response and root cause analysis. Exceptional stakeholder engagement and communication skills, with the ability to influence both technical and non-technical audiences. The ability to work through ambiguity and make sound, well-reasoned technical decisions, clearly documenting trade-offs and the options considered.
  • A track record of mentoring and developing engineers while driving a culture of technical excellence and continuous improvement.

Highly Regarded

  • 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.
  • Exposure to AI, machine learning or advanced analytics platforms.

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: 

  • 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.  
  • We’ll 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. You can also take advantage of our salary packaging program including motor vehicles, eligible portable electronic devices and professional memberships.  
  • We’ll support your wellbeing: Whether it’s learning to better support your own and others’ mental health, our interactive wellbeing app or your very own tailored nutrition plan. 

Applications will close by 16th November.

 

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Pay

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Location & working pattern

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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