GCP Pipelines & Airflow Data Engineer | Scale Data Platform
Data engineer at Stake (posted via Kaizen Global Technologies) in Sydney building a modern GCP-based data platform: crafting scalable Airflow pipelines, ensuring data quality and governance, and enabling self-serve datasets for analytics, experimentation and growth. Hybrid role, three days a week in the Sydney office.
- Compensation
- Not disclosed
- Location
- Sydney, Australia
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Experience building data pipelines on GCP
- Experience with Apache Airflow
- Data quality and data governance practices
- Based in/around Sydney and able to work three days a week from the office
Nice to have
- Ability to build self-serve datasets for engineers, product managers and analysts
Full description
Stake is building a modern data platform in Sydney. You will craft scalable data pipelines, ensure data quality and governance, and empower teams with self-serve datasets. You’ll collaborate with engineers, product managers and analysts to shape the data landscape used by thousands of customers.
You’ll work in a hybrid model with three days in the Sydney office, joining a high-impact team focused on product analytics, experimentation and growth.