Google Data & AI Engineer
Summary
A GCP data and platform engineer role building end-to-end data pipelines (Dataflow, Composer, Pub/Sub, BigQuery) plus the underlying cloud infrastructure (Terraform, networking, security) for a major Australian enterprise, working hybrid from Sydney with three days on site.
Job Description
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 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.