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English-Speaking Data Engineer - Enterprise AI Platform

Tokyo 23 Wards Temporary ¥8,000,000 - ¥10,000,000 per year Japanese Corporate Work from Home or Hybrid View Job Description
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

About Our Client

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.

Job 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



The Successful Applicant

  • 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

What's on 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



Contact
Serena Wu
Quote job ref
JN-072026-7054622
Phone number
+81 3 6627 6137

Job summary

Function
IT
Specialisation
Database Engineering
Specialisation
Technology & Telecoms
Location
Tokyo 23 Wards
Job Type
Temporary
Consultant name
Serena Wu
Consultant phone
+81 3 6627 6137
Job Reference
JN-072026-7054622
Company Type
Japanese Corporate
Work from Home
Work from Home or Hybrid

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.