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