Data Engineer - Well known international company

This role is responsible for designing and maintaining scalable data pipelines and models, managing complex datasets, and enabling advanced analytics and machine learning by collaborating closely with data scientists and IT teams. It requires deep expertise in modern data engineering technologies, strong problem‑solving and communication skills, and proficiency in both Japanese and English.

Client Details

The hiring company is a well-established and innovative organization in the retail industry. It operates as a medium-sized enterprise and is committed to providing a seamless shopping experience through advanced technology and continuous improvement.

Description

• Manage and optimize database systems, ensuring high availability, strong performance, and timely issue resolution.
• Perform routine maintenance, backups, recovery operations, and implement security measures to safeguard data integrity.
• Support database‑related projects by collaborating with technology teams and deploying new solutions or enhancements.
• Develop and maintain clear technical documentation for database structures, processes, and operational procedures.

Job Offer

• Opportunity to work in a leading retail company.
• Engaging projects in a technology-driven environment.
• Chance to contribute to innovative solutions and advancements in the retail industry.
• Position offering flexibility and valuable experience.

If you are passionate about database engineering and seeking an exciting opportunity in Chiba, we encourage you to apply today!

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Serina Miyazono on +81 3 6627 6130.

A successful applicant should have:

• A strong background in database engineering, particularly within the retail industry.
• Proficiency in database management systems and query optimization.
• Experience in performing database maintenance, backups, and recovery.
• Knowledge of database security best practices and implementation.
• Attention to detail and commitment to maintaining data accuracy.