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Qantas Group

International and domestic airline passenger services

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeSydney NSW, AustraliaNo salary listed

About the Job

Requirements

  • At least 5 years of experience in data engineering or a similar hands-on, data-intensive role within a large and complex technology environment.
  • A bachelor's degree in computer science, engineering, mathematics, statistics, physics, or another relevant quantitative or technical discipline.
  • Expert hands-on experience with Snowflake, including data modelling, platform security, access controls, performance tuning, and cost optimisation.
  • Advanced experience with AWS and its data, storage, and integration services, or equivalent Azure or Google Cloud experience.
  • Strong expertise in dbt Core, including transformation, modelling, automated testing, documentation, and release management.
  • Enterprise-scale workflow orchestration experience, ideally using Apache Airflow or AWS Managed Workflows for Apache Airflow, including dependency management, retries, and backfill patterns.
  • Advanced SQL capability, including complex analytical queries, query optimisation, and set-based problem-solving.
  • Strong hands-on Python experience for data engineering, supported by sound software engineering practices such as version control, automated testing, peer review, and maintainable code.
  • Experience using Terraform or equivalent infrastructure as code, including reusable module design, state management, and environment promotion.
  • Demonstrated experience designing and operating multiple reliable data products for different business domains, with strong knowledge of data quality, observability, security, and governance.
  • Exposure to FinOps considerations, including cost attribution, forecasting, and optimisation of cloud and data-platform consumption.
  • Deep understanding of enterprise data integration across SaaS platforms, APIs, networking environments, and complex source systems.
  • Exposure to Power BI, including an understanding of how semantic models and reports consume data-platform assets.
  • Strong communication and influencing skills, with the ability to explain complex technical concepts to non-technical and senior stakeholders.
  • Demonstrated ability to provide technical direction, review designs and code, mentor engineers, and promote consistent engineering standards across internal and partner teams.
  • The role initially requires hands-on experience in DataStage development and Teradata.

Responsibilities

  • Develop scalable, reliable, and cost-effective data solutions across the end-to-end lifecycle of data platforms and pipelines, including solution design, development, implementation, maintenance, and continuous improvement.
  • Provide technical input to Architects, Delivery Leads, and Product Owners, translating business and analytical requirements into practical cloud-based solutions.
  • Collaborate with Data Modellers, Technical Business Analysts, Delivery Leads, Product Owners, and Visualisation Engineers.
  • Support enterprise engineering standards and contribute to the ongoing development of the Data Engineering practice.

Desired Qualifications

  • Experience with Snowflake OpenFlow and Snowflake DCM.
  • Experience with Alation, Cloudability, or Datadog.
  • Experience establishing and operating data contracts between data producers and consumers.
  • Experience with Apache Kafka and event-streaming architectures.

About the Company

Qantas Group

International and domestic airline passenger services

Qantas Group is a major airline that carries passengers and cargo across Australia and to international destinations. It operates scheduled flights using a global network of routes, aircraft, crews, and ground services. It distinguishes itself with a long-standing safety record, reliable operations, extensive domestic connectivity, and strong Australian brand identity. Its goal is to connect people and places by providing safe, dependable air travel and expanding its global network.

Company size
10,001+
Company stage
IPO
Headquarters
Sydney NSW, Australia
Founded
1920

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