Data Engineer, Amazon Logistics
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
Offer value
The position offers a strong value proposition due to the demand for data engineers in logistics, competitive remuneration potential, and opportunities for technical growth in data management and AWS technologies.
- High potential for career advancement in data engineering
- Engagement with large-scale data sets and logistics solutions
- Impact the efficiency of Amazon's delivery operations
- Requires robust technical expertise
Pros
- Engagement with cutting-edge technologies and large data sets
- Opportunities for cross-team collaboration in a renowned organization
- Potential to significantly impact logistics efficiency
Cons
- Ambiguity in specific salary details
- High expectations for self-starters may create pressure
- Fast-paced work environment might entail long hours
Who it's for
Mid to Senior • On-site (Tokyo, Japan)
Good fit
- Data engineers with experience in AWS technologies
- Professionals interested in logistics and supply chain
- Individuals keen on data analytics and process optimization
Not recommended for
- New graduates without technical expertise
- Candidates seeking remote positions
- Those who prefer structured environments with lower ambiguity
Motivation fit
Key skills
About the job
DESCRIPTION
Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast?
Have you wondered where it came from and how much it cost Amazon to deliver it to you?
If so, Amazon Logistics (AMZL), Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our customers.
Amazon Logistics is looking for a customer focused, analytically and technically skilled Data Engineer to design, build, and maintain software solutions and advanced data infrastructure for AMZL leadership and BI teams in Japan. This position will focus on developing scalable solutions using AWS services to support our rapidly expanding logistics operations.
The successful candidate will be able to effectively manipulate large datasets, optimize systems for low latency and high accuracy, and implement quality checks and monitoring systems. This individual will collaborate with business, engineers, and science teams to understand business requirements and ensure solutions drives effective business impact. This role requires an individual with software development and data warehouse skills. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoy working with large scale of data.
Key job responsibilities
• Own the design, development, and maintenance of last mile data sets
• Manipulate/mine data from database tables (Redshift, Apache Spark SQL)
• Conduct deep dive investigations into issues related to incorrect and missing data
• Identify and adopt best practices in developing data pipelines and tables: data integrity, test design, build, validation, and documentation.
• Continually improve ongoing reporting and data processes in AMZL
• Work with in-house scientists, global supply chain, transportation and logistics teams, and software teams to identify new features and projects.
• Identify ways to automate complex processes through AWS.
• This is an individual contributor role that will partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions
