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English-Speaking Data Engineer - Enterprise AI Platform
| 勤務地 | 東京都 23区 |
| 雇用形態 | 派遣 |
| 給与 | 800万円 ~ 1000万円 |
募集要項
This role focuses on building and operating cost and usage data foundations for an enterprise AI platform, enabling financial transparency at scale. You will partner with engineering and business stakeholders to design robust pipelines, models, and APIs that support cost allocation, chargeback, and optimization.
Client Details
Our client is a globally recognized leader in advanced mobility and AI technology, operating at significant scale and investing heavily in next-generation enterprise data platforms.
Description
- Design, build, and maintain scalable cost and usage data pipelines using SQL and Python in cloud data environments (e.g., Snowflake, Databricks)
- Own ingestion and transformation logic for platform-wide usage and billing data
- Develop and enhance cost allocation models (compute, storage, and shared overhead), ensuring alignment with cloud billing
- Deliver cost visibility through well-designed data models, warehouse views, and API endpoints for internal stakeholders
- Establish data quality, observability, and reliability standards (SLIs/SLOs) for pipeline freshness and accuracy
- Collaborate cross-functionally with Cloud Engineering, FinOps, and Business Operations teams to translate requirements into scalable data solutions
- Support broader data engineering initiatives, including additional ingestion and warehousing use cases
Job Offer
- Hybrid work style in Tokyo (3 days/week onsite)
- Opportunity to shape FinOps strategy for a cutting-edge AI platform
- Collaborative, cross-functional environment with strong business impact
- Exposure to large-scale AI and cloud data ecosystems
To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Serena Wu on +81 3 6627 6137.
応募必要条件
| 職務経験 | 無し |
| キャリアレベル | 中途経験者レベル |
| 英語レベル | 流暢 |
| 日本語レベル | 日常会話レベル |
| 最終学歴 | 大学卒： 学士号 |
| 現在のビザ | 日本での就労許可が必要です |
スキル・資格
- 5+ years of experience in data engineering or backend development using SQL and Python
- Strong experience with cloud billing datasets (e.g., AWS, GCP) and understanding of pricing models
- Proven ability to design and operate data models for financial reporting or cost allocation in modern data warehouses
- Hands-on experience with Snowflake, Databricks, or similar platforms
- Understanding of FinOps principles such as chargeback, showback, tagging strategies, and cost optimization
- Experience working cross-functionally with engineering, product, and business stakeholders
- Business-level English communication skills
- Experience with BI tools (e.g., Power BI) and financial dashboards
- Familiarity with FinOps tooling (e.g., Kubecost)
- Exposure to AI/ML platforms, MLOps, or training/inference infrastructure
- Experience in multi-cloud or multi-tenant environments
- Business-level Japanese
勤務地
- 東京都 23区
労働条件
| 雇用形態 | 派遣 |
| 給与 | 800万円 ~ 1000万円 |
| 業種 | インターネット・Webサービス |
