Databricks Data EngineerEnglish summary from Japanese

OpenStreet株式会社

✓ Detailed

Salary

想定年収：541万円～730万円標準年収（残業代含まず）：468万円～675万円基本給：255,000～380,000円賞与：年間において、基本給約6か月分をベースとし評価により決定残業手当：時間に応じて別途支給(想定年収は月30hの残業の場合）

Location

【本社】東京都港区海岸一丁目7番1号東京ポートシティ竹芝オフィスタワー35階【サテライトオフィス】東京都豊島区東池袋1-18-1 Hareza Tower 20F WeWork Hareza池袋内

Job Type

Full-time

Work Style

【働き方】　■スーパーフレックス（コアタイムなし、7:00～22:00）　 ■週1出勤・その他リモートワーク可能【手当】　■通勤交通費【保険】　■各種社会保険完備【休日・休暇】　■完全週休二日制（土日）　■祝日　■年末年始休暇　■年次有給休暇（入社初日より付与）　■特別有休休暇　■慶弔休暇　■産前産後休暇　■育児休暇 ※男性取得実績あり　■リフレッシュ休暇（勤続5年以上）

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Role summaryEnglish summary from Japanese

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

Our company is consolidating its data infrastructure into Databricks and migrating BI to Databricks SQL and AI/BI. We are looking for a Data Engineer to maximize Databricks potential and build an environment for advanced data analysis and visualization.

Must-haves

Practical experience with Databricks (Delta Lake, Unity Catalog, Databricks SQL)
Experience extracting, processing, and cleansing large-scale data using SQL or Python (PySpark)
Experience designing data marts (Star Schema, etc.) and data modeling in DWH/Data Lake environments
Experience developing and operating data processing pipelines on cloud environments (AWS, Azure, or GCP)
Knowledge and experience in data performance tuning (indexing, query optimization, partitioning, etc.)

Nice-to-haves

Experience building data models and CI/CD environments using dbt
Experience with dashboard construction and data source design using Databricks AI/BI or any BI tool
Experience processing spatial data
Experience in system integration and requirements definition with other system development teams and data science teams

About the Company

OpenStreet株式会社

Headquarters

東京都港区海岸一丁目7番1号

Founded

2016-11

Visit Website

Posted6/8/2026

Sourceherp

Role summaryEnglish summary from Japanese

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

Must-haves

Practical experience with Databricks (Delta Lake, Unity Catalog, Databricks SQL)
Experience extracting, processing, and cleansing large-scale data using SQL or Python (PySpark)
Experience designing data marts (Star Schema, etc.) and data modeling in DWH/Data Lake environments
Experience developing and operating data processing pipelines on cloud environments (AWS, Azure, or GCP)
Knowledge and experience in data performance tuning (indexing, query optimization, partitioning, etc.)

Nice-to-haves

Experience building data models and CI/CD environments using dbt
Experience with dashboard construction and data source design using Databricks AI/BI or any BI tool
Experience processing spatial data
Experience in system integration and requirements definition with other system development teams and data science teams

Databricks Data EngineerEnglish summary from Japanese

Role summaryEnglish summary from Japanese

Must-haves

Nice-to-haves

About the Company

Databricks Data EngineerEnglish summary from Japanese

Role summaryEnglish summary from Japanese

Must-haves

Nice-to-haves

About the Company

Tech stack

Work style

Other notes