Qantas Group
Airlines/Aviation
SeniorDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Engineer at Qantas Group. Skills: Data engineering, Cloud data platform, Data pipelines, Data architecture. Design, build, and maintain scalable, high-performance data pipelines. Mature Enterprise Data Availability”
What You'll Achieve.
Enable decision science at scale; Accelerate how insights turn into action
Industry & Context.
Experimentation; Rapid iteration; Evidence-based thinking
What They're Looking For.
Must Have
Tertiary qualification in Computer Science, Engineering, Information Technology, Data Science, or related discipline, or equivalent practical experience, Demonstrated experience as a Senior Data Engineer or similar role within enterprise-scale or regulated environments, Experience building data platforms, analytics workloads, or data-intensive systems in cloud environments, Proven track record of influencing data architecture, standards, and engineering practices beyond immediate delivery tasks, Proficiency in SQL and Python for data transformation, pipeline development, and automation, Solid understanding of data modeling techniques (dimensional modeling) and schema design patterns, Working knowledge of data governance principles, including data lineage, cataloging, and metadata management, Experience with DataOps practices, including version control (Git), CI/CD for data pipelines, and deployment automation, Understand cloud data services and architectures, Collaborate with data consumers to understand requirements and deliver fit-for-purpose data solutions, Apply DataOps principles to automate testing, deployment, and monitoring of data pipelines, Document data lineage, definitions, and technical specifications to support data discovery and governance, Ensure adherence to data security, privacy, and compliance requirements in all data engineering work, Support and maintain role-based access control (RBAC/UBAC) security model to ensure secure access control to data
Nice to Have
Relevant cloud and data platform certifications at a professional or advanced level are highly desirable, Formal training or certifications in Data Engineering, Data Architecture, or Cloud Data Platforms are advantageous, Experience with other data ingestion solutions (Apache NiFi Advantageous), Understanding of cloud data services and architectures - AWS preferred, including S3, Lambda, VPC, IAM, Private Networking and Airflow (MWAA)
What You'll Do.
and maintain scalable
high-performance data pipelines
Mature Enterprise Data Availability
Enable innovation pipeline
Drive and evolve Data Engineering/DataOps practices
Own data architecture and design decisions
Define data quality standards
Ensure data assets are trustworthy
Support confident decision-making
Ensure data governance
and compliance requirements are
Act as a senior technical authority
Influence data platform direction
Uplift engineering capability
and observable foundations
Enable teams to safely test assumptions
Enable teams to learn fast
Enable teams to move with confidence
Create platforms designed for speed
Directly enable decision science at scale
Accelerate how insights turn into action across the
Understand requirements and deliver fit-for-purpose data solutions
and monitoring of data pipelines
Document data lineage
and technical specifications
Support data discovery and governance
Ensure adherence to data security
Support and maintain role-based access control (RBAC/UBAC) security
Ensure secure access control to data
How You'll Work.
Team & Collaboration
Work with business stakeholders
Process & Methodology
CI/CD
Full Job Description
We’re Jetstar. You may know us for our famous low fares, but did you also know that we’ve flown more than 400 million customers since we launched in Australia in 2004? In fact, each week we operate around 3,000 flights to nearly 40 destinations across Australia, New Zealand, Asia and the Pacific. We also operate a fleet of more than 80 aircraft, including state-of-the-art Airbus A320/21 NEO aircraft and the Airbus A320 family and Boeing 787-8s. Every day we enable more people to takeoff to more places, more often. Impressive numbers? What's even more impressive is the team of extraordinary people taking off together day in day out, flight after flight. Our people are the real jet stars! * Shape how the organisation thinks, learns, and makes decisions. * Challenge yourself to shape, scale, and operate a next‑generation cloud data platform at enterprise scale. * 12 Month initial Fixed-Term Contract role based at Jetstar HQ in Melbourne, with flexible hybrid working and Travel Benefit from Day one! Jetstar thrives on innovation! We are always looking to employ ambitious and proactive professionals to help our business work smarter and more efficiently. You will be encouraged to think innovatively whilst developing and maintaining best practice. We’re searching for a Senior Data Engineer who wants to be more than a builder - someone who wants to shape how the organisation thinks, learns, and makes decisions. Our efforts are a key strategic enabler of a new way of working, one founded on experimentation, rapid iteration, and evidence‑based thinking. You’ll help evolve our Snowflake‑centric cloud data platform, building the reliable, secure, and observable foundations and advancements that allow teams to safely test assumptions, learn fast, and move with confidence. By creating platforms designed for speed, feedback, and trust, you’ll directly enable decision science at scale and accelerate how insights turn into action across the business. What you’ll do: * Design, build
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