Data Engineering Manager

This role leads the engineering team for Musubi Insight, a BI tool that visualizes pharmacy-management data and supports daily decision-making by pharmacy owners and pharmacists.

Responsibilities include providing technical support related to project management and software engineering, identifying and resolving potential technical and organizational issues, planning and advancing team-strengthening measures such as hiring, setting goals and evaluating the team and its members, and supporting member development, career planning, and motivation through activities such as one-on-one meetings.

The team consists of one engineering manager serving concurrently, four engineers, one product manager, and one designer. Internal counterparts include product management, customer success, SRE, data engineering, and data science functions.

The development environment includes Databricks for the data analysis platform. Data sources include AWS RDS, DynamoDB, Glue Data Catalog, S3, and Kinesis Streams. The web application uses Python, React, Next.js, TypeScript, AWS Cognito, Amplify, API Gateway, Lambda, RDS, and S3. Infrastructure as Code uses Terraform, and CI/CD uses GitHub Actions. Monitoring and analysis tools include Datadog, Google Analytics, GTM, and KARTE. The listed LLM tools are OpenAI, Gemini, and Claude through Amazon Bedrock. AI SaaS tools include GitHub Copilot, Dify, Cursor, Claude Code, Gemini, Devin, and NotebookLM. Other development tools include Slack, Google Workspace, Jira, Confluence, Figma, Datadog, and Pager Duty.

Generative AI is used for product functionality and productivity improvement, with a cross-functional community and occasional knowledge-sharing sessions involving engineers, product managers, and designers. Because the organization handles medical information, internal guidelines address security risks while balancing productivity with safety.

The position is based in Minato-ku, Tokyo. The selection process may include document screening, a casual interview, two or three interviews, an aptitude test, a reference check using back check, and an offer meeting. The process may change depending on circumstances.