Data Engineer Jobs

Nine

Location:
Australia, North Sydney

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Data Engineering at Nine empowers individuals to own delivery end-to-end, and explore how new data and the latest Data & AI technologies can improve workflows, and deliver greater value for our stakeholders. We have a great opportunity for a Data Engineer to join our Commercial Growth Squad.Your role will be instrumental in building and sustaining Nine's competitive advantage through data, as you'll focus on the full development and maintenance lifecycle of innovative data products. This critical work directly empowers our business to create unique, actionable insights, which are essential for driving strategy and maximising our ad revenue.

Job Responsibility:

Design and implement data models that align with business needs
Develop and maintain reliable data pipelines (ETL) to load and transform data from various sources into data warehouses
Ensure pipelines are scalable and efficient, considering factors like data volume, velocity, and variety
Implement data quality checks and validation processes to maintain accurate data
Set up monitoring and alerting to proactively identify and resolve issues
Perform root cause analysis for incidents and implement corrective actions
Contribute to the technical design and vision for the data platform
Explore new AI technologies and methods to enhance value delivery across Data Engineering workflows

Requirements:

Strong programming ability in at least one language (e.g., Python)
Proficiency in SQL
Data Modeling experience, including the application of abstract concepts in an enterprise environment
Proven experience designing and building data pipelines, ETL processes, and managing data infrastructure
Experience delivering workflow orchestration solutions and managing task dependencies using a tool like Apache Airflow
A strong analytical mindset, a passion for tackling complex technical challenges, and the ability to find creative solutions to issues

Nice to have:

A bachelor's or master's degree in Computer Science, Software/Data Engineering, Data Science, IT, or a related field
Experience with Google Cloud Platform (GCP), AWS, or Azure, including their data storage, processing, and analytics services
Familiarity with cloud deployment and test automation using a CI/CD solution (e.g., Cloud Build, Dagger, or Concourse)
Experience in deploying cloud infrastructure as code (IaC) using Terraform or similar tools
Experience leveraging AI to deliver Data Engineering solutions

What we offer:

18 weeks paid parental leave with no distinction between primary and secondary carers
Access to 'Employee Exclusives' program - a way of getting closer to our incredible brands, offering unique experiences, behind-the-scenes access, and awesome perks
Digital newspaper subscription to our mastheads
Annual gift voucher for Stan subscription

Additional Information:

Job Posted:
December 10, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Engineer