Job Description
National-scale AI & Robotics project in Japan, global research environment
■ Job Title
Data Engineer
■ Company Overview
This project focuses on building large-scale datasets and data platforms to support next-generation AI and robotics models. The team works with real-world humanoid robot data and develops open, reusable data assets for global researchers and engineers.
Backed by a major national initiative, the project brings together experts from academia and industry to advance AI and robotics through high-quality data, scalable infrastructure, and open collaboration.
■ Your Role and Responsibilities
Design and implement large-scale data pipelines covering the full lifecycle of datasets, including collection, processing, curation, and publishing.
Design, build, and maintain data schemas, storage systems, and query interfaces for efficient dataset access.
Collaborate closely with AI and robotics researchers to understand evolving data requirements.
Build and scale distributed data-processing pipelines capable of handling large multimodal datasets (e.g., images, depth data, point clouds).
Define data-quality metrics and implement monitoring and feedback loops to ensure continuous improvement.
Manage metadata, lineage, and data governance for reliable and reproducible data usage.
■ Experience and Qualifications
Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
5+ years of professional experience in data engineering or data platform development.
Proven experience delivering production-grade distributed data systems.
3+ years of experience building and operating large-scale ETL/ELT pipelines using Spark, Flink, Ray, or similar frameworks.
Hands-on experience with workflow orchestration tools such as Airflow, Kedro, or Dagster.
Experience optimizing high-volume data workloads (10TB+ per day).
■ Additional Preferred Qualifications
Experience with lakehouse architectures such as Delta Lake, Apache Iceberg, or Apache Hudi.
Experience with query engines and catalogs such as Trino, Athena, Databricks SQL, or similar tools.
Strong understanding of schema evolution, data versioning, and cost-performance optimization.
Experience building bronze/silver/gold data layers using dbt or equivalent tools.
Experience defining and enforcing data quality SLAs.
Familiarity with data quality, lineage, and governance tools (e.g., Great Expectations, DataHub, OpenMetadata).
Experience working with terabyte- or petabyte-scale datasets.
Business-level English proficiency; Japanese proficiency is a plus.
■ Good Reasons to Join
Work on a rare, large-scale AI and robotics data project.
Build data platforms that directly support advanced AI research and real-world applications.
Collaborate with researchers and engineers from diverse backgrounds.
Gain visibility through impactful technical contributions and research output.
Contribute to a project with strong social and technological significance.
■ Work Location
Tokyo, on-site main
■ Salary
Negotiable
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