Data Engineer, LMEA

Amazon Logistics (AMZL) is seeking a skilled Data Engineer to join their Last Mile team in Tokyo, Japan. This role is crucial in managing the delivery infrastructure that handles tens of millions of products weekly for Amazon's customers. The position combines technical expertise with business impact, focusing on building and maintaining real-time data pipelines and reporting solutions that power AMZL's operations.

As a Data Engineer, you'll be at the intersection of data infrastructure and business intelligence, working with AWS technologies to create and optimize data pipelines that support Amazon's growing logistics operations in Japan. You'll collaborate with cross-functional teams including scientists, software developers, and business stakeholders to deliver data solutions that drive decision-making and operational efficiency.

The role requires strong technical skills in data engineering, including experience with SQL, Python, and big data technologies. You'll be responsible for designing and implementing ETL processes, maintaining data warehouse infrastructure, and ensuring data quality and accessibility. The position offers the opportunity to work with cutting-edge technologies and massive datasets while solving complex logistics challenges.

This is an excellent opportunity for a data professional who wants to make a significant impact on Amazon's logistics operations. You'll be part of a team that directly influences how millions of packages reach customers efficiently and cost-effectively. The role offers exposure to advanced AWS technologies, big data processing, and the chance to work with one of the world's most sophisticated logistics networks.

The ideal candidate will be a self-starter who thrives in an ambiguous environment, has strong attention to detail, and enjoys working with large-scale data systems. You'll need to be fluent in both Japanese and English, enabling effective collaboration with global teams while working locally in Japan. This position combines technical challenges with business impact, making it perfect for someone who wants to see their work directly affect Amazon's customer experience.