Google Data & Ai Engineer
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Summary
Build and run a major Australian enterprise's Google Cloud data platform end to end: batch and streaming pipelines (Dataflow, Composer, Pub/Sub) landing in BigQuery, plus the Terraform, networking and CI/CD that keep it sound. Hybrid role in Sydney, three days a week on site.
Opportunity
Permanent role with a major Australian enterprise. You’ll build and run our Google Cloud data platform end to end, from ingestion to the infrastructure it sits on. This is a hybrid role – with three days a week on site.
What you’ll be doing
- Building batch and streaming pipelines with Dataflow, Composer and Pub/Sub, landing in BigQuery
- Shaping BigQuery models so queries run fast and costs stay sensible
- Building the data foundations that machine learning and AI models are trained and run on
- Writing the Terraform, networking and security that keep the platform sound
- Owning pipelines in production: monitoring, fixing, and automating releases through CI/CD
- Working alongside data scientists, analysts and engineers to deliver what they need
- Keeping an eye on new GCP services worth bringing in
What you’ll bring
- Advanced Terraform and enterprise‑grade GCP cloud engineering
- Confidence with VPCs, subnets, load balancing, firewalls and DNS
- Python or Bash, plus Git, Docker and Kubernetes
- DataOps habits: automated testing and data quality built in from the start
The package
- $140K to $180K base, plus super and bonus
- Hybrid, with three days a week on site
- Australian work rights required; background checks apply