Top Data Engineer Jobs in Osaka

Lead backend data platform engineering and manage functional data ownership for Japan and Korea, focusing on scalable cloud-native platforms and data pipelines.

The Data Engineer will analyze large datasets for ADAS/AD software, manage data collection, validate AI performance, and support cross-department collaboration. The role requires experience in ADAS systems and AI solutions.

Own and maintain analytics instrumentation and data pipelines using Segment, ensuring reliable event tracking to Mixpanel, GA4 and AppsFlyer. Use Terraform for version-controlled analytics infrastructure, monitor and audit data quality, maintain schema documentation, translate business needs into tracking, and configure mobile/web attribution and deep-linking.

The Software Engineer will be responsible for data collection to support model training, manage data ingestion pipelines, and collaborate with AI team members on data strategy.

Lead design, development, deployment, and continuous improvement of cloud-native data and analytics solutions on Azure. Act as a hands-on technical lead building scalable, secure end-to-end data platforms using Spark/Databricks, Python/PySpark, and orchestration tools. Ensure CI/CD, DevOps, automation, code quality, mentor team members, resolve complex technical issues, and collaborate with stakeholders and vendors to drive platform evolution.

Build, deploy, and support cloud-native data and analytics solutions on Azure. Design and maintain data pipelines, ingestion, transformation and integration processes using Apache Airflow. Ensure data quality, monitoring, CI/CD and infrastructure-as-code. Troubleshoot platform issues, collaborate with cross-functional teams, and contribute to platform improvements and documentation.