Job Description 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 opportunity 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 rapid 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