Job Description

Google Data & AI Engineer (GCP)

SELECT engineer

FROM `talent.gcp`

WHERE builds_pipelines = TRUE

AND builds_platform = TRUE

AND certified = 'Skilled'

-- 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 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