Job Description

Job Description
/n Google Data & AI Engineer (GCP) /n /n SELECT engineer /n FROM talent.gcp /n WHERE buildspipelines = TRUE /n AND buildsplatform = TRUE /n AND certified = 'Professional' /n -
Expected rows: 1. Is it you? /n /n Most data engineers stop at the pipeline. This role wants someone who also builds the platform underneath it. /n /n The opportunity /n 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. /n /n What you'll be doing /n /n
Building batch and streaming pipelines with Dataflow, Composer and Pub/Sub, landing in BigQuery /n
Shaping BigQuery models so queries run fast and costs stay sensible /n
Building the data foundations that machine learning and AI models are trained and run on /n
Writing the Terraform, networking and security that keep the platform sound /n
Owning pipelines in production: monitoring, fixing,



and automating releases through CI/CD /n
Working alongside data scientists, analysts and engineers to deliver what they need /n
Keeping an eye on current GCP services worth bringing in /n /n /n What you'll bring /n /n
Solid hands-on GCP data engineering, streaming included /n
Advanced Terraform and enterprise-grade GCP cloud engineering /n
Confidence with VPCs, subnets, load balancing, firewalls and DNS /n
Python or Bash, plus Git, Docker and Kubernetes /n
DataOps habits: automated testing and data quality built in from the start /n
A Qualified-level Google Cloud certification /n /n /n The package /n /n
$140K to $180K base, plus super and bonus /n
Hybrid, with three days a week on site /n
Australian work rights required; background checks apply /n /n /n If you've built both the pipelines and the platform, I'd love to hear from you. /n

📌 Google Data Sydney
🏢 RONIN Dynamics
📍 Sydney