Senior Data Engineer

Qantas; Sydney; Hybrid; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Staff Travel Benefits from Day One!

Hybrid working options

Travel discounts and benefits

Job summary

Qantas is seeking a Senior Data Engineer to join our Data & Analytics team at Mascot Campus with hybrid options. The role focuses on scalable data solutions, end-to-end data pipelines and cloud platform improvements.

You will work with Architects, Product Owners and Analysts, contributing to design, development, maintenance and governance of data products. Strong Snowflake and AWS experience is essential, plus dbt, Python and SQL proficiency.

Qualifications

• 5+ years in data engineering in large tech environments.
• Bachelor's degree in a quantitative field.
• Hands-on Snowflake experience including modelling and cost optimization.
• Strong AWS data services experience (or Azure/GCP).
• Proficient with dbt, SQL, Python and Airflow.
• Experience with Terraform and IaC.
• Proven ability to design and operate data products with governance.
• Exposure to FinOps and cost attribution.

Responsibilities

• Develop scalable, reliable data solutions across cloud platforms.
• Participate in design, development, implementation, and maintenance of data pipelines.
• Collaborate with Architects, Delivery Leads and Product Owners to translate requirements.
• Ensure data quality, security and governance across domains.

Skills

Snowflake

dbt core

AWS

Python

Airflow

SQL

Teradata

DataStage

Terraform

Power BI

Education

Bachelor's degree in CS/Engineering/Math/Stats

Tools

Snowflake OpenFlow

Snowflake DCM

Alation/Datadog/Cloudability

APIs/ETL tooling

Job description

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 Senior Data Engineer will use their strong technical expertise and hands‑on data engineering experience to develop scalable, reliable and cost‑effective data solutions. Working across the end‑to‑end lifecycle of our data platforms and pipelines, you will contribute to solution design, development, implementation, maintenance and continuous improvement.

You will provide technical input to Architects, Delivery Leads and Product Owners, helping translate business and analytical requirements into practical cloud‑based solutions. You will collaborate closely with Data Modellers, Technical Business Analysts, Delivery Leads, Product Owners and Visualisation Engineers while supporting enterprise engineering standards and contributing to the ongoing development of the Data Engineering practice.

The role initially requires hands‑on experience in DataStage development and Teradata, together with the flexibility to work across evolving data‑engineering technologies and modern cloud platforms.

What you will bring:

• 5+ years’ 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.

Highly regarded:

• 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.

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 20th November.