Data Engineer

Senior Platform Engineer (Google Cloud Platform) – Data & Analytics About the role Our client is looking for a senior engineer with deep, hands-on Google Cloud Platform expertise to reinforce its Platform & Enablement function within Data & Analytics. You will shape and evolve the cloud platform that Data & Analytics teams rely on, balancing day-to-day engineering with platform architecture, automation, security, reliability and developer experience. Responsibilities Design, build and continuously improve cloud platform capabilities for Data & Analytics teams Work extensively with Google Cloud Platform, GKE/Kubernetes and containerized workloads Develop and maintain infrastructure through Infrastructure as Code using Terraform Contribute to CI/CD and GitOps-based delivery approaches Handle GCP networking, IAM, security and access management Create reusable platform components that give engineering teams self-service capabilities Ensure strong monitoring, logging, observability and operational reliability Support teams in onboarding their workloads onto the platform Collaborate with platform engineers, data engineers, architects and security stakeholders to deliver scalable, secure solutions Help define technical standards and reusable patterns, and guide the long-term direction of the platform, combining operational ownership with strategic development Required skills and experience Senior-level (Level 4) professional background in Platform Engineering, Cloud Engineering or DevOps Several years of hands-on production experience with Google Cloud Platform Solid practical experience with GKE and Kubernetes Strong hands-on expertise in Terraform and Infrastructure as Code Experience designing or building cloud platform foundations and landing-zone capabilities Experience with IAM, workload identity, networking and cloud security Strong background in CI/CD and automated delivery of both software and infrastructure Experience with monitoring, logging and observability in cloud environments Track record of supporting multiple engineering or development teams through shared platform capabilities Ability to work independently and take technical ownership in a complex enterprise setting, while staying hands-on in implementation Strong English communication skills Meriting experience GCP data services such as BigQuery, Dataflow and Pub/Sub (highly meriting) Data ingestion and/or streaming platforms (highly meriting) Platform engineering in regulated or security-sensitive enterprise environments (highly meriting) Developer self-service and platform enablement GitOps and Helm Google Cloud networking and security services Apache Beam Backstage or other Internal Developer Platforms Python and Bash Multi-cloud environments combining GCP with Azure and/or AWS