Top Data Engineer Jobs in Tokyo

The Agentic AI Data Engineer designs and implements data platforms and pipelines for enterprise AI, focuses on ETL/ELT processes, and ensures data quality and governance while collaborating with cross-functional teams.

Design and implement large-scale data pipelines for robotics foundation models, ensuring efficient data processing, quality, and collaboration with researchers.

As a Senior Lead Software Engineer, you will provide technical guidance, develop high-quality code, influence product design, and contribute to an agile team focused on enhancing technology products.

As a Software Engineer II, you enhance and deliver software solutions, design, troubleshoot code, and contribute to application development while collaborating in an agile team environment.

The Data Engineer will design and implement scalable data architectures, collaborate with cross-functional teams, and manage data processing and analysis across multiple domains.

The role requires ownership of archival projects based on OpenText InfoArchive, data extraction from SAP and Non-SAP systems, reporting, and managing archival execution.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

The Data Engineer will design data pipelines, create data models, and harmonize data for business insights while collaborating with teams to ensure solutions fit architectural requirements.

The role involves designing and building BI solutions, maintaining data analytics platforms, and collaborating with teams to analyze data and improve BI systems.

The Data Centre Engineer will maintain and build infrastructure in data centers, collaborate with teams, and manage equipment and troubleshooting. Flexibility for shifts and travel within APAC is required.

The Forward Deployed Software Engineer will implement and optimize client deployments, troubleshoot issues, and develop integrations, serving as the primary technical contact for customers.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.