Google Cloud Data & AI Engineer

Ronin Dynamics — Australia · Posted ~2 hours ago

Senior Full-time

Skills

Google Cloud Platform data engineering data pipelines Dataflow Cloud Composer Pub/Sub BigQuery Terraform networking cloud security CI/CD production operations

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Summary ✨ AI‑Generated

Own a cloud data platform end to end, building both the pipelines and the infrastructure beneath them. You will create batch and streaming workloads, optimize analytical data models, build foundations for machine-learning and AI workloads, manage infrastructure with Terraform, implement networking and security, and operate production pipelines through monitoring and CI/CD.

Highlights

Permanent opportunity to own a Google Cloud data platform end to end, from ingestion and pipeline engineering through infrastructure, security, deployment, and production operations. The role bridges data engineering, platform engineering, and AI/ML enablement.

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 BigQueryShaping BigQuery models so queries run fast and costs stay sensibleBuilding the data foundations that machine learning and AI models are trained and run onWriting the Terraform, networking and security that keep the platform soundOwning pipelines in production: monitoring, fixing, and automating releases through CI/CDWorking alongside data scientists, analysts and engineers to deliver what they needKeeping an eye on new GCP services worth bringing in What you'll bring Strong hands-on GCP data engineering, streaming includedAdvanced Terraform and enterprise-grade GCP cloud engineeringConfidence with VPCs, subnets, load balancing, firewalls and DNSPython or Bash, plus Git, Docker and KubernetesDataOps habits: automated testing and data quality built in from the startA Professional-level Google Cloud certification The package $140K to $180K base, plus super and bonusHybrid, with three days a week on siteAustralian work rights required; background checks apply If you've built both the pipelines and the platform, I'd love to hear from you.