Senior Data Engineer at Qantas Group | AU | Rezi

Senior Data Engineer at Qantas Group

Senior Data Engineer

Qantas Group · AU

Yesterday

Senior Data Engineer

Qantas Group · AU

a day ago
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About the Role

The Senior Data Engineer will develop scalable, reliable, and cost-effective data solutions, contributing to the end-to-end lifecycle of data platforms and pipelines. You will provide technical input to Architects, Delivery Leads, and Product Owners, translating business requirements into cloud-based solutions and collaborating with various teams to support engineering standards.

Responsibilities

  • Contribute to solution design, development, implementation, maintenance, and continuous improvement of data platforms and pipelines.
  • Provide technical input to Architects, Delivery Leads, and Product Owners.
  • Translate 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.
  • Contribute to the ongoing development of the Data Engineering practice.
  • Design and operate reliable data products for different business domains.
  • Promote consistent engineering standards across internal and partner teams.

Requirements

  • 5+ years of experience in data engineering or a similar hands-on, data-intensive role within a large and complex technology environment.
  • 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.
  • Experience with Snowflake OpenFlow and Snowflake DCM (Highly regarded).
  • Experience with Alation, Cloudability, or Datadog (Highly regarded).
  • Experience establishing and operating data contracts between data producers and consumers (Highly regarded).
  • Experience with Apache Kafka and event-streaming architectures (Highly regarded).

Skills

  • DataStage development
  • Teradata
  • Snowflake
  • AWS
  • Azure
  • Google Cloud
  • dbt (core)
  • Apache Airflow
  • AWS Managed Workflows for Apache Airflow
  • SQL
  • Python
  • Terraform
  • Power BI
  • Snowflake OpenFlow
  • Snowflake DCM
  • Alation
  • Cloudability
  • Datadog
  • Apache Kafka

Location

  • Mascot Campus

Work Type

  • Hybrid
  • Permanent
  • Full-time

Experience Level

  • Senior
  • 5+ years

Education Level

  • Bachelor’s degree in computer science, Engineering, Mathematics, Statistics, Physics or another relevant quantitative or technical discipline.

Benefits

  • Staff Travel Benefits from Day One
  • Heavily discounted air travel within Australia and across the globe, both for you and your family and friends
  • Exclusive deals on accommodation and holidays
  • Flexible leave options
  • 18 weeks paid parental leave (plus superannuation payments on all paid and unpaid parental leave until your child turns 1)
  • Additional purchased leave options for eligible employees
  • Discounts across shopping, food and wine, insurance, health and wellbeing, leisure and entertainment
  • Salary packaging program including motor vehicles, eligible portable electronic devices and professional memberships
  • Support for wellbeing, including mental health resources, a wellbeing app, and tailored nutrition plans
  • On the job training and coaching
  • Formal training opportunities

About the Company

  • 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.
  • 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.