Google Data & AI Engineer (GCP)

About the role

This permanent position with a major Australian enterprise involves building and operating a Google Cloud data platform end‑to‑end, from ingestion through to the infrastructure that supports machine learning and AI workloads.

Key responsibilities

• Design and implement batch and streaming pipelines using Dataflow, Composer and Pub/Sub, delivering data into BigQuery.
• Optimize BigQuery models for performance and cost efficiency.
• Develop the data foundations for ML/AI model training and serving.
• Write Terraform, networking and security configurations to keep the platform robust.
• Own production pipelines: monitoring, incident resolution and CI/CD automation.
• Collaborate with data scientists, analysts and engineers to meet their data needs.
• Evaluate new GCP services for potential adoption.

Required profile

• Strong hands‑on experience with GCP data engineering, including streaming.
• Advanced Terraform skills and enterprise‑grade cloud engineering expertise.
• Professional‑level Google Cloud certification.
• Australian work rights and ability to pass background checks.

Required skills

• Google Cloud Platform (Dataflow, Composer, Pub/Sub, BigQuery, VPC, subnets, load balancing, firewalls, DNS)
• Terraform
• Python or Bash scripting
• Git, Docker, Kubernetes
• DataOps practices (automated testing, data quality)

What we offer

• Base salary $140,000–$180,000 AUD per year, plus superannuation and bonus.
• Hybrid work model: three days onsite per week.