Google Data & AI Engineer (GCP) SELECT engineer FROM `talent.gcp` WHERE builds_pipelines = TRUE AND builds_platform = TRUE AND certified = 'Professional' -- Expected rows: 1. Is it you? Most data engineers stop at the pipeline.

This role wants someone who also builds the platform underneath it. The prospect This is a permanent role with a major Australian enterprise. You'll build and run their Google Cloud data platform end to end, from ingestion to the infrastructure it sits on.

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 - Strong hands-on GCP data engineering, streaming included
- 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
- A Professional-level Google Cloud certification 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 If you've built both the pipelines and the platform, I'd love to hear from you.

📌 Google Data & AI Engineer (Sydney)
🏢 RONIN Dynamics
📍 Sydney