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Jobs→株式会社大塚商会→[Data Engineer] As an engineer for our in-house data platform, responsible for everything from design to operation of the platform supporting generative AI utilization. Gain practical experience in data management handling diverse data using the latest technologies.

[Data Engineer] As an engineer for our in-house data platform, responsible for everything from design to operation of the platform supporting generative AI utilization. Gain practical experience in data management handling diverse data using the latest technologies.English summary from Japanese

株式会社大塚商会

✓ Detailed
Salary
500-900万円
Location
<本社>東京都千代田区飯田橋2丁目18-4 大塚商会本社ビル ※リモート:可(状況に応じ週1回程度可⦅出社比率高めです⦆) ※転勤:当面なし
Job Type
Full-time
Work Style
・専門業務型裁量労働制 ・標準勤務時間:9:00~17:30 ・休憩時間:60分 ・平均残業時間:20~30時間程度(2026年5月時点)
Apply on LEVTECH

Role summaryEnglish summary from Japanese

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

We are seeking a Data Engineer to design, develop, and operate our in-house data platform, which is central to internal data utilization and generative AI/AI agent applications. You will gain practical experience in data management with diverse data using the latest technologies.

Must-haves

  • Experience in designing, developing, and operating data pipelines on Databricks
  • Experience using dbt, SQL, and Python for data pipeline processing
  • Experience in building and improving data management platforms
  • Experience in designing data platforms and data management platforms for generative AI/AI agent utilization

Nice-to-haves

  • Experience in data catalog maintenance and continuous improvement
  • Experience in data processing and cleansing for diverse big data
  • Experience in building and operating data platforms using tools like Databricks and dbt
  • Practical knowledge and experience in data platforms/data management supporting generative AI/AI agent utilization

Tech stack

Databricks

About the Company

株式会社大塚商会

Posted6/17/2026
Updated2026-07-23 08:45:10
Sourcelevtech
dbt
SQL
Python

Work style

Onsite, Tokyo (specific location not mentioned)