Data Engineer, Scot Fulfillment Optimization

Amazon - Madrid

When you order items on Amazon, there are practically thousands of ways we can fulfill that order. Which Fulfillment Center do we ship from, what carriers do we use, what boxes do we combine items in — now scale that question to billions of items shipped annually worldwide. At Amazon's Supply Chain Optimization Technologies (SCOT), we are tasked with fulfilling every customer order in the most intelligent way possible while making sure customers get their orders on time. Within SCOT, the Fulfillment Optimization organization owns the artificial intelligence, optimization, and simulation systems that decide how Amazon's outbound network is planned and operated. Our team is a new horizontal team responsible for the data foundations that power every Fulfillment Optimization product — from long-range planning to day-of execution. Our customers are the Applied Scientists, Business Intelligence Engineers, Data Scientists, and Software Development Engineers building those products, and the leaders who depend on trustworthy data to make multi-billion-dollar planning decisions. We are looking for a Data Engineer to help us build that foundation. You will work alongside more senior Data Engineers, Software Development Engineers, and Applied Scientists to design, build, and operate the data pipelines, models, and warehouses that our products and analytics depend on. You will take well-defined requirements, build a solution, and deliver it on schedule. You will learn the team's data architecture deeply, contribute to its evolution, and grow into an autonomous owner of significant pieces of it. This role is a great fit for someone who is excited about working with large-scale, complex data, who cares about getting the details right, and who wants to grow under the mentorship of an experienced data engineering team.