Data Engineer

Date PostedAugust 17, 2026LocationAsia Japan TokyoCompany4M Career KKSalaryJPY 7000K - JPY 10000KTypeit (pc, web, unix) - database se it (other) - data analyst/data scientist it (mainframe) - database se

Job Summary

Looking for a Data Engineer to work with high volume heterogeneous data tools and object-oriented scripting languages in Tokyo, Japan. The ideal candidate should have experience with stream-processing frameworks and root cause analysis on internal and external data. This is a permanent position requiring a Business Conversation Level in English and no Japanese.

Responsibilities

  • Work with high volume heterogeneous data tools
  • Perform root cause analysis on internal and external data and processes
  • Engage in agile software processes and data-driven development

Required Skills

  • Experience with Spark, Hive, Pandas, Hadoop
  • Expertise in Scala, Python, Java (3-5 years preferred)
  • Knowledge of Flink, Spark Streaming, Kafka
  • English Business Conversation Level (TOEIC 735-860)

Job Details

Job Title: Data Engineer Employment Type: Permanent Location: Tokyo, Japan Job Description: - Ability to work with high volume heterogeneous data tools such as Spark, Hive, Pandas, Hadoop, etc. - Expert in one or more object-oriented/object function scripting languages, such as Scala, Python, Java, etc. (over 3~5 years experience is preferred) - Knowledgeable about stream-processing frameworks or platforms such as Flink, Spark Streaming, Kafka, etc. - Proactive in caring about agile software processes, data-driven development, reliability, and responsible experimentation - Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement English Level: Business Conversation Level (TOEIC 735-860) Japanese Level: None Other Salary Description: - Social Insurance - Commuting/ Transportation Allowance - Sport Facilities - Relaxation Facilities Holidays: - Five-Day Workweek - Summer Holidays - Winter Holidays - Refresh Holidays - Sick Leave - Paid Holidays