S

Senior Data Engineer

Superstars β€’ Japan
Visa Sponsorship Relocation
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AI Summary

Build the data infrastructure powering the future of AI. Take ownership of large-scale data architecture and lead technical projects. Strong experience with AWS, Azure, or GCP required.

Key Highlights
Designing and building enterprise-scale data platforms
Leading cloud data migrations from on-premise environments
Developing distributed data pipelines using Spark/Python
Key Responsibilities
Designing and building enterprise-scale data platforms
Leading cloud data migrations from on-premise environments
Developing distributed data pipelines using Spark/Python
Designing robust data models and architectures
Leading PoCs and technology evaluations
Working directly with clients to solve complex business challenges
Mentoring engineers and providing technical leadership
Technical Skills Required
Amazon Web Services Spark Python
Benefits & Perks
Β₯7M–Β₯12M annual salary
Visa sponsorship and relocation support
Hybrid work arrangement
Nice to Have
Databricks
Snowflake
AI and Generative AI
Data Governance and Security

Job Description


πŸš€ Senior Data Engineer – Data & AI

πŸ’° Β₯7M–Β₯12M | πŸ“ Tokyo | 🏠 Hybrid | πŸ‡―πŸ‡΅ Japanese N2 Business Level Required

✈️ Visa Sponsorship & Relocation Support


Build the Data Platforms Powering the Next Generation of AI


Are you a Data Engineer ready to take ownership of large-scale data architecture and step into a technical leadership role?


Join a growing Data & AI Integration team and work with major enterprise clients on exciting transformation projects across Cloud, Data and AI.


πŸ”₯ What You'll Work With

☁️ AWS | Azure | GCP

πŸ“Š Databricks | Snowflake

⚑ Spark | Python

πŸ—οΈ Data Lakes & Data Warehouses

πŸ€– AI & Generative AI

πŸ” Data Governance & Security


🎯 Your Role

You'll take the technical lead on projects, including:

  • Designing and building enterprise-scale data platforms
  • Leading cloud data migrations from on-premise environments
  • Developing distributed data pipelines using Spark/Python
  • Designing robust data models and architectures
  • Leading PoCs and technology evaluations
  • Working directly with clients to solve complex business challenges
  • Mentoring engineers and providing technical leadership
  • Exploring how AI and GenAI can improve engineering and business processes


πŸ‘€ We're Looking For

  • 3+ years' Data Engineering experience
  • Strong experience with AWS, Azure or GCP
  • Hands-on Spark and/or Python
  • Strong data modelling skills
  • Databricks or Snowflake experience is highly desirable
  • Technical Lead or Project Management experience is a plus
  • Experience with data governance or multi-cloud environments is advantageous
  • Japanese: JLPT N2 / Business Level – Required
  • English: Business Level – Required
  • Passion for emerging Data & AI technologies


πŸš€ Ready to build the data infrastructure powering the future of AI?


If you're passionate about Data Engineering, Cloud Architecture and AI-driven transformation, we'd love to hear from you.


Apply now or get in touch for a confidential conversation.


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