We’re seeking a Senior DataOps Engineer to join our Data Engineering team and contribute to maintaining a modern, cloud-native data platform that supports business-critical insights and operations.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience
- 7-8+ years of experience in DataOps, DevOps, or Data Engineering roles with a focus on observability and reliability
- Proficiency in Python (or other scripting languages) and SQL skills for data transformation and validation
- Experience building and managing data infrastructure in AWS, solid understanding of CI/CD pipelines, and version control
- Familiarity with orchestration tools such as Airflow, Dagster, or Prefect
- Experience with observability, alerting, and incident response for production data systems
- Experience with real-time data streaming tools and patterns (e.g., Kafka, Kinesis)
- Understanding of compliance requirements in regulated environments (e.g., GDPR, ISO, GLI)
- Strong collaboration and communication skills
- A mindset focused on automation, continuous improvement, and self-service enablement
Benefits
- Championing Engineering Excellence
- Work alongside top 5% of engineering talent in Australia
- Access to over 9,000 courses across Learning and Development Platform
- EAP access for you and your family
- Lucrative annual bonuses
- Paid volunteer day
- Daily breakfast and open pantries
- On-site remedial massage
- Full-time barista’s
- Weekly team lunches and happy hour
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