Quick overview
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 and evolve a next-generation Cloud Data Platform at enterprise scale
- Build self-service capabilities and reusable engineering patterns that accelerate delivery
- Permanent role based at Jetstar HQ in Melbourne, with flexible hybrid working and travel benefits from day one
Jetstar thrives on innovation. We're always looking for ambitious and proactive people who challenge conventions, simplify complexity and find smarter ways to deliver.
We're looking for a Senior Data Platform Engineer to help design, build and evolve our Cloud Data Platform as an internal product. You'll create the reusable capabilities, automation and engineering guardrails that enable teams to deliver data products safely, independently and at scale.
This is more than a traditional data engineering role. You'll help create golden paths and self-service experiences that remove manual hand-offs, embed security and governance by default, and reduce the time it takes teams to take an idea into production. You'll work across platform engineering, DevOps/SRE and data to turn emerging requirements into reliable, reusable capabilities that create measurable business value.
What you'll do
- Design and evolve scalable, resilient cloud platform capabilities that enable data and analytics teams to deliver independently.
- Build self-service tooling and golden paths for provisioning environments, infrastructure and pipelines using automation and Infrastructure as Code.
- Create reusable CI/CD patterns that support reliable deployment, release and rollback across data, infrastructure and analytics workloads.
- Embed security, governance and compliance by design, incorporating identity, access, secrets management and automated policy controls into platform capabilities.
- Establish reliability and observability standards, including SLOs/SLIs, monitoring, logging, tracing, alerting and effective incident management.
- Partner with engineering teams to understand friction points and translate recurring needs into shared platform capabilities.
- Explore and validate emerging technologies, turning proven solutions into supported, reusable platform patterns.
- Optimise cloud consumption and platform costs using FinOps principles, cost visibility and practical engineering guardrails.
- Influence architecture and engineering standards, providing senior technical leadership across the platform ecosystem.
- Mentor and enable engineers, promoting knowledge sharing, continuous improvement and adoption of effective platform practices.
What you'll bring
- Demonstrated experience as a Senior Platform Engineer, DevOps Engineer, Site Reliability Engineer or similar, ideally within an enterprise-scale or regulated environment.
- Proven experience building internal platforms, self-service tooling or reusable engineering patterns adopted across multiple teams.
- Deep knowledge of cloud-native infrastructure and distributed systems, ideally supporting large-scale data and analytics environments.
- Strong hands-on experience with Infrastructure as Code, with Terraform preferred, including reusable modules and templates.
- Proven experience designing CI/CD pipelines and reusable deployment patterns for platform, application or data workloads.
- Strong understanding of SRE practices, including SLOs/SLIs, error budgets, incident management and platform reliability.
- Experience implementing observability across complex environments, including monitoring, logging, alerting and tracing.
- Understanding of containerisation and orchestration technologies, including Docker and Kubernetes.
- Strong knowledge of security-by-design and policy-as-code, including identity, secrets management and secure delivery pipelines. Experience with technologies such as OPA or Sentinel is valuable.
- Experience applying FinOps principles to cloud cost optimisation and consumption management.
- A strong product mindset, with the ability to understand engineering users, prioritise capabilities and measure adoption and outcomes.
- Excellent stakeholder engagement skills, with the ability to influence without direct authority, lead technical initiatives and mentor peers.
Your life at Jetstar is unlike any other
Live the travel dream: You and your nominated travel companions can takeoff more with our famous Qantas Group Staff Travel discount.
Make work feel like a holiday: Join a fun, driven team where work feels like a holiday. Our people take every opportunity to takeoff together and find ways to help their teammates soar.
There’s a place for everyone at Jetstar: For us, travel and meeting new people go hand in hand. We invite our people to get involved in various Employee Network Groups that play an important role in creating our inclusive and supportive culture that we are fiercely proud of. We believe that teams with a diversity of ideas and experiences are more creative, innovative and solve problems quickly. We welcome applications from anyone who wants to takeoff with us. If you have support or access requirements, just reach out and let us know what you need.
We’re Jetstar. Let’s take off together
We can’t wait to hear from you.
Applications will close on the 27th November - Apply at the earliest to be considered!
Haystack's AI agent can fill in and submit this application for you. How AI auto apply works
Similar jobs
- IP

Principal Data Engineer Auto Apply
Ippon · Melbourne · Hybrid 🇦🇺
AWSETLSnowflake+6TechnologySalary not listed - MA

Conversion Intelligence & Automation Lead Auto Apply
Magentus · Fortitude Valley · Hybrid 🇦🇺
Stakeholder ManagementOnboardingAWS+2Salary not listed - XE

Data Engineer - Performance InsightsRecently posted Auto Apply
Xero · AU: Sydney (45 Clarence St) · Hybrid · Posted 10 Nov 2026 🇦🇺
SQLSnowflakedbtTechnologySalary not listed - SH
Senior Data EngineerRecently posted Auto Apply
Shift · Sydney · Hybrid · Posted 9 Nov 2026 🇦🇺
SQLGitDatabricks+6TechnologySalary not listed - ZI
Senior Data EngineerRecently posted Auto Apply
Zipline.io · Perth, Western Australia · Hybrid · Posted 10 Nov 2026 🇦🇺
BigQueryPower BITechnologyA$120k - A$150k/yr - ZI
Senior Data EngineerRecently posted Auto Apply
Zipline.io · Sydney, New South Wales · Hybrid · Posted 10 Nov 2026 🇦🇺
BigQueryPower BITechnologyA$120k - A$150k/yr - ZI
Senior Data EngineerRecently posted Auto Apply
Zipline.io · Melbourne, Victoria · Hybrid · Posted 10 Nov 2026 🇦🇺
BigQueryPower BITechnologyA$120k - A$150k/yr - NA

Principal Consultant - DatabricksRecently posted Auto Apply
NCS Australia · Brisbane, QLD · On-site · Posted 9 Nov 2026 🇦🇺
Stakeholder ManagementSQLGit+8TechnologySalary not listed - NA

Principal Consultant - DatabricksRecently posted Auto Apply
NCS Australia · Sydney, NSW · On-site · Posted 9 Nov 2026 🇦🇺
Stakeholder ManagementSQLGit+8TechnologySalary not listed - QG
Senior Data Engineer Auto Apply
Qantas Group · Sydney, New South Wales · On-site · Posted 6 Nov 2026 🇦🇺
SQLAWSSnowflake+10TechnologySalary not listed - LO

Data Engineering Lead Auto Apply
Lovisa · Hawthorn · On-site · Posted 2 Nov 2026 🇦🇺
Stakeholder ManagementSQLGit+5Salary not listed - QG
Principal Data Engineer Auto Apply
Qantas Group · Sydney, New South Wales · On-site · Posted 3 Nov 2026 🇦🇺
Stakeholder ManagementSQLAWS+9TechnologySalary not listed