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 ensuring on‑time delivery.

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 Applied Scientists, Business Intelligence Engineers, Data Scientists and Software Development Engineers building those products, and leaders who depend on trustworthy data to make multi‑billion‑dollar planning decisions.

Key job responsibilities





Build and optimize physical data models and ETL pipelines for datasets that serve our products and analytics, using Amazon's data platforms (Redshift, EMR, Spark, S3, Hive, etc.).

Take well‑defined requirements from Data Scientists, Business Intelligence Engineers, and Software Development Engineers, and deliver tested, documented, and maintainable data solutions on schedule.

Troubleshoot, root‑cause and resolve issues in existing datasets and pipelines, leaving them better and easier to maintain than you found them.

Measure and improve dataset quality—completeness, freshness, correctness—and contribute to the team's monitoring and SLA framework.

Write secure, stable, testable and well‑documented code in SQL and Python (or Scala), and submit it for code review.

Classify, store and handle data in accordance with Amazon's security and privacy policies.

Participate in team design, scoping and prioritiz

📌 Data Engineer, SCOT Fulfillment Optimization (Barcelona)
🏢 Amazon
📍 Barcelona