GCP Data Platform Engineer

Quick Facts

• Role: GCP Data Platform Engineer

Description

Design, implement, and maintain CI/CD pipelines and deployment automation for data platform engineering. Standardize repositories with shared CI/CD templates and reusable delivery components, manage artifact storage and distribution, and support Docker and Kubernetes-based runtime environments. Improve release management and software delivery processes while ensuring governance, traceability, and repeatability.

Responsibilities

• Design, implement, and maintain CI/CD pipelines

• Standardize repositories with shared CI/CD templates and reusable delivery components

• Develop and maintain deployment automation processes

• Design and implement artifact storage and distribution mechanisms

• Improve release management and software delivery processes

• Support Docker image management and deployment workflows

• Support Kubernetes-based runtime environments

• Automate manual platform engineering activities

• Migrate Python repositories from Poetry or setuptools to UV

• Support governance, traceability, and repeatability of software delivery

• Collaborate with engineering teams to implement DevOps best practices

• Prepare and maintain technical documentation

Requirements

• Strong commercial experience in DevOps, Platform Engineering, or Cloud Engineering roles

• Experience designing and maintaining CI/CD pipelines

• Experience building reusable CI/CD templates and automation frameworks

• Strong understanding of Git-based development workflows

• Hands-on experience with Docker

• Experience supporting Kubernetes environments

• Experience automating build, release, and deployment processes

• Experience managing software artifacts and release assets

• Experience with Python packaging and dependency management

• Understanding of infrastructure and application lifecycle management

• Strong communication and documentation skills

Benefits

• Opportunity to work on modern data platforms and GCP-based engineering initiatives

• Continuous focus on growth and knowledge sharing

• Collaboration with engineering teams to apply DevOps best practices