Job Description

Job Descriptionn

Google Data & AI Engineer (GCP)

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SELECT engineer

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FROM `talent.gcp`

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WHERE builds_pipelines = TRUE

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AND builds_platform = TRUE

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AND certified = 'Professional'

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-- Expected rows: 1. Is it you?

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Most data engineers stop at the pipeline. This role wants someone who also builds the platform underneath it.

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The opportunity

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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.

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What you'll be doing

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- Building batch and streaming pipelines with Dataflow, Composer and Pub/Sub, landing in BigQuery
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- Shaping BigQuery models so queries run fast and costs stay sensible
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- Building the data foundations that machine learning and AI models are trained and run on
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- Writing the Terraform, networking and security that keep the platform sound
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- Owning pipelines in production: monitoring, fixing,



and automating releases through CI/CD
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- Working alongside data scientists, analysts and engineers to deliver what they need
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- Keeping an eye on recent GCP services worth bringing in
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What you'll bring

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- Strong hands-on GCP data engineering, streaming included
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- Advanced Terraform and enterprise-grade GCP cloud engineering
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- Confidence with VPCs, subnets, load balancing, firewalls and DNS
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- Python or Bash, plus Git, Docker and Kubernetes
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- DataOps habits: automated testing and data quality built in from the start
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- A Professional-level Google Cloud certification
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The package

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- $140K to $180K base, plus super and bonus
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- Hybrid, with three days a week on site
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- Australian work rights required; background checks apply
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If you've built both the pipelines and the platform, I'd love to hear from you.

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📌 Google Data & AI Engineer (Sydney)
🏢 RONIN Dynamics
📍 Sydney