Senior Data Engineer
Senior Data Engineer
Melbourne (1 Day a week onsite)
Up to $170,000 + Super + Profit Share
The Opportunity
Our client is one of Australia's most recognised global product houses, operating at scale across multiple international markets. Their data engineering team sits at the core of the business, building and maintaining the platform that powers every product decision, every customer interaction, and every commercial outcome the organisation makes.
You'll be joining a high-performing distributed team working across Melbourne, New York, and India. This isn't a role where you're handed a backlog and told to ship tickets. You'll be working hands-on across a modern data platform, contributing to real architectural decisions, and collaborating directly with engineers and stakeholders across timezones to translate business problems into scalable data solutions.
What You'll Be Doing
Building and evolving a modern data platform on BigQuery, Snowflake, Airflow, and dbt at scale and in production. Contributing to architectural decisions across the full data lifecycle including ingestion, transformation, orchestration, and delivery. Building and operationalising AI and ML pipelines hands-on, not from the sidelines. Collaborating closely with engineers and stakeholders across a globally distributed team to deliver reliable, scalable data solutions.
What We're Looking For
- Strong hands-on production experience with Apache Airflow, not just DAG writing
- Solid cloud platform experience with GCP preferred and AWS considered
- Production-grade experience with Snowflake and dbt in a real engineering environment
- Comfort working across global timezones with a distributed team
- Practical AI and ML pipeline exposure
- dbt expertise including model materialisation strategies and cost-aware design
- CDP platform experience with RudderStack, Segment, or equivalent
- Experience with agile delivery in a product engineering environment