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English-Speaking Data Engineer - Enterprise AI Platform

東京23区 派遣社員 年収 800万円 - 1000万円 日系企業 在宅可・ハイブリッド勤務可 求人詳細を見る
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.
  • Drive FinOps visibility for a large-scale AI platform
  • Own data pipelines powering business-critical cost insights

企業情報

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.

職務内容

  • 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



理想の人材

  • 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

Nice to Have:

  • 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

条件・待遇

  • 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



コンタクト
Serena Wu
求人番号
JN-072026-7054622
電話
+81 3 6627 6137

求人情報

分野
IT
職種
データベース・エンジニアリング
業界
IT・通信
勤務地
東京23区
雇用形態
派遣社員
担当コンサルタント
Serena Wu
担当コンサルタントの電話番号
+81 3 6627 6137
求人番号
JN-072026-7054622
企業タイプ
日系企業
勤務形態
在宅可・ハイブリッド勤務可

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