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 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 recent 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 (New South Wales)
🏢 RONIN Dynamics
📍 New South Wales