Data Platform Engineer, Data Infrastructure & Services
Full-time
EU/EEA
Oct 21, 2026
RemoteMatch analyzes your experience against this role's specific tech stack, timezone overlap, and requirements.
About the Role
Drive Innovation as our Next Data Platform Engineer - Data Infrastructure & Services Ready to participate in building and evolving our next-generation Transportation & Logistics data platform on Google Cloud Platform (GCP)? This role combines cloud engineering, data pipelines, and software engineering with a default focus on automation, Infrastructure as Code (IaC), operational resilience, and corporate governance. What Makes This Role Interesting: The Data Platform Engineer – Generalist operates as an AI-augmented builder who decides, designs, and fixes across our cloud infrastructure, platform tooling, and data engineering layers. Recognizing that no single engineer can be a deep expert across every layer of the modern data stack, this role uses AI tools by reflex to deliver end-to-end capabilities with minimal handoffs or coordination overhead. Operating in a lean Platform Engineering pod, you will bring strong core capabilities while maintaining the breadth required to support our ongoing platform migration from AWS and Azure to GCP, build data workflows, and collaborate closely with lead data engineers. Your Key Responsibilities: Decide, Design, & Ship End-to-End: Own platform outcomes from intent through to production. Prefer direct iteration (think → build → validate) over cross-role handoffs, pulling in specialists only when risk or complexity truly justifies it. Engineer Infrastructure as Code: Design, provision, configure, and evolve cloud environments u