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Browse thousands of tech jobs at Japanese startups and companies. Translated for foreign engineers.

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Jobs→株式会社ほぼ日→Hobonichi - Fully in-house data infrastructure using dbt/BigQuery. Seeking Data Engineers to build from scratch.

Hobonichi - Fully in-house data infrastructure using dbt/BigQuery. Seeking Data Engineers to build from scratch.English summary from Japanese

株式会社ほぼ日

✓ Detailed
Salary
6 million yen - 11 million yen
Apply on FINDY

Role summaryEnglish summary from Japanese

English summary for screening — check the original posting before applying.

Hobonichi is seeking Data Engineers to build and operate their in-house data infrastructure from scratch. The role involves collaborating with business teams to create a self-sustaining data organization, accelerating the digitalization of key business metrics for global growth.

Must-haves

  • 3+ years of experience in building/operating data infrastructure using DWH (BigQuery/Snowflake etc.)
  • 3+ years of experience in development to improve data reusability using modern data stacks like dbt
  • 3+ years of experience in advanced data processing using SQL/Python
  • 3+ years of experience in operating development processes using CI/CD (GitHub Actions etc.)
  • Understanding of EC, logistics, or accounting data and ability to translate business processes into data structures
  • Ability to interpret business requirements, create ER diagrams, and perform data modeling independently
  • Experience in requirements definition and adjustment with stakeholders, including non-engineers

Nice-to-haves

  • Experience in integrated analysis of qualitative and quantitative data, or building infrastructure for it

About the Company

株式会社ほぼ日

Headquarters
東京都千代田区神田錦町3-18 ほぼ日神田ビル
Visit Website
Posted7/29/2026
Sourcefindy
  • Experience transitioning from external vendors to in-house organizations, or establishing data governance
  • Interest in data visualization and usage (BI tools)
  • Experience visualizing metrics with dashboards
  • Experience improving operational efficiency using generative AI
  • Experience as a Data Analyst or Data Scientist
  • Tech stack

    SQLPythonBigQuerySnowflakeDatabricksdbtFivetranTableauLookerLooker StudioAWSGoogle CloudTerraformGitHub ActionsCircleCIDatadogGoogle Analytics 4 (GA4)ZendeskGitHubBacklogNotionSlackGoogle WorkspaceGitHub CopilotClaude CodeCursor

    Work style

    Onsite in Tokyo (Chiyoda-ku, Kanda-Nishikicho). Flextime system with core hours.

    Other notes

    Annual salary: ¥6,000,000 - ¥11,000,000. Probationary period of 6 months with same conditions.