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