
Senior Data Engineer
1 week ago
Senior Data Engineer (Snowflake)
Salary: up to $175k + Super
Sydney - Remote options available
Help shape the future of retail media by building scalable, high-performance data solutions that power innovation and growth.
Key Responsibilities
- Design, develop, and optimize scalable ETL/ELT data pipelines (batch & streaming).
- Architect and manage robust data platforms on GCP and AWS.
- Lead data warehousing solutions using Snowflake.
- Automate workflows with Apache Airflow and ensure data quality & governance.
- Build semantic layers and data models for usability and discoverability.
- Collaborate across teams to deliver impactful data solutions.
- Stay ahead of emerging technologies, driving continuous innovation.
Requirements
- 5+ years in data engineering with strong SQL expertise.
- Hands-on experience with BigQuery, Snowflake, GCP & AWS.
- Strong skills in Airflow, Python, data modelling, and Git.
- Experience with semantic layers and dashboarding (e.g., Metabase).
- Excellent problem-solving and communication skills.
- Ability to thrive in a fast-paced, agile environment.
Nice to Have
- Experience in retail, e-commerce, or AdTech.
- Familiarity with Kafka, Pub/Sub, Docker, Kubernetes.
- Knowledge of CI/CD and MLOps practices.
Role Type
- Permanent, Full-time
- Mid–Senior Level
- Open to candidates in Sydney or Melbourne or remote AU
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