Qantas Logo

Qantas

Data Developer

Posted 10 Days Ago
Be an Early Applicant
In-Office
Melbourne, Victoria
Mid level
In-Office
Melbourne, Victoria
Mid level
The Data Developer will design data models, create analytics datasets, and enable decision-making across Commercial & Operations, collaborating with teams and ensuring best practices in data governance.
The summary above was generated by AI
Company 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!

Job Description

  • Join the Data & Analytics domain at Jetstar!
  • Full time permanent role based at our Jetstar HQ in Melbourne
  • Staff Travel Benefit from Day one!

Love travel and passionate about all things aviation. You’re in the right place. At Jetstar, you get to takeoff at work, and in life.

As a team, we’re lucky we get to do both for a living – and we want you to be part of where we go next. Helping our teammates soar is what we’re all about. And with a new fleet of state-of-the-art aircraft, plus new routes being added, the sky’s the limit.

Takeoff with your next opportunity

We are seeking a Data Developer to join our Data & Analytics within the Technology domain. This role will focus on designing and delivering data models, analytics-ready datasets, and business metrics that power insights, reporting, and decision-making across challenging and exciting initiatives across Commercial & Operations.

The Data Developer will act as a spoke of the central Data & Analytics team, leveraging the modern data platform (Snowflake, dbt, Alation) while partnering closely with Commercial and Operations teams, Data Business Analysts, and SMEs to enable impactful analytics.

This is a hands-on role where you’ll transform raw data into reliable, well-tested models that power reporting, insights, and activation use cases. You’ll be part of a large, established analytics engineering community but dedicated to Commercial & Operations domains, with support from a business analyst and data modeller.

 

Key Result Areas

  • Design, build, test, and maintain data models and SQL transformations in dbt to enable analytics for Commercial & Operations teams.
  • Extend enterprise data models by creating domain-specific dimensions, measures, and KPIs aligned with Commercial & Operations business needs.
  • Collaborate with Data BAs, Customer SMEs, and centralized data modelling team to translate business rules into curated data assets.
  • Ensure models are well-documented in Alation and adhere to best practices in coding, testing, and version control (GitHub).
  • Work closely with centralized Data Engineering and Data Modelling teams to ensure alignment with enterprise frameworks, governance, and standards.
  • Provide trusted data outputs to enable BI dashboards, analytics, and reporting for Commercial & Operations teams.
  • Enable downstream use cases in BI, reporting, and activation.
  • Partner with stakeholders across Commercial, Operations, Technology, Cyber, Data Privacy and Ethics to ensure dependencies and requirements are well understood

Knowledge, skills, and experience

Essential:

  • 2–5 years of experience in analytics engineering, BI development, or data modelling roles.
  • Strong proficiency in SQL (queries, stored procedures, performance optimization).
  • Experience with dbt for data transformation and data pipeline management.
  • Hands-on experience with Snowflake (or other modern cloud data platforms).
  • Familiarity with data modelling concepts (fact-dimension, star schema, medallion architecture).
  • Understanding of business metrics and KPI creation for analytics and BI.
  • Experience working with data catalogues (e.g., Alation) and GitHub for version control.
  • Strong analytical, problem-solving, and communication skills – able to work with both technical and business stakeholders.

Nice to have:

  • Exposure to Commercial & Operations data domains.
  • Exposure to data governance, RBAC, or data security concepts.
  • Familiarity with downstream BI tools e.g., Power BI
  • Knowledge of orchestration and monitoring best practices.

             

Your Life At Jetstar Is Unlike Any Other

Put the craft in aircraft:
There’s a new fleet of A321LR NEO’s waiting for your arrival. Beyond Jetstar, our teams get exposure to projects related to the Qantas Group’s A320/1, B787 and A321 Freighters.
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 takeoff together

We can’t wait to hear from you. Apply now

Applications will close by the 16th of September

 

 

 

 

Top Skills

Alation
Dbt
Git
Power BI
Snowflake
SQL

Similar Jobs

2 Days Ago
In-Office
Melbourne, Victoria, AUS
Mid level
Mid level
Fintech
As a Data Engineer, you'll build and maintain AWS data pipelines and contribute to migrating data infrastructure. You'll enhance data governance, collaborate with teams, and define engineering standards while leveraging modern data solutions like Lakehouse.
Top Skills: AWSGitGlueLambdaPysparkPythonSparkSparksqlSQLStep FunctionsTableau
14 Days Ago
In-Office
Redbank, Victoria, AUS
Mid level
Mid level
Marketing Tech
The Machine Learning Data Engineer will enhance and maintain ML systems, manage data processing pipelines, and support ML operations within Marketing Compliance.
Top Skills: AWSComputer VisionGCPMlopsNatural Language ProcessingPython
16 Days Ago
In-Office
Melbourne, Victoria, AUS
Mid level
Mid level
Fintech • Payments
The role involves building and maintaining data acquisition pipelines, ensuring scalability, reliability, and governance. Responsibilities include collaborating on design, supporting ingestion processes, and ensuring data quality.
Top Skills: JavaPythonScala

What you need to know about the Melbourne Tech Scene

Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account