Job Description

Appealing Points:



  • Grow your career as a Data Engineer Build hands-on experience writing efficient SQL and Python for batch and streaming data pipelines.

  • Gain exposure to ML and GenAI technologies Work with ML frameworks such as Scikit-learn, PyTorch, and Spark, and integrate LLM APIs and basic vector search.

  • End-to-end engineering experience Support deployment, monitoring, and version control, gaining practical experience across the full data engineering lifecycle.


Annual Salary: 7 million yen and above


Job Qualification:



  • 5+ Years of experience as a Data Engineer

  • Data Eng: Write efficient SQL/Python for batch & streaming pipelines.

  • ML Usage: Implement workflows using frameworks (Scikit, PyTorch, Spark).

  • GenAI: Integrate LLM APIs (OpenAI, Anthropic) and basic vector search.

  • Ops: Assist in deployment, monitoring, and maintaining version control.


Japanese Language: Business Japanese (JLPT N2), Business level English


Company Description


The company has a singular focus on the Connectedness vertical, partnering with the leading creators of our hyper-connected world. Customers range from telecom operators, digital/multi-service providers (D/MSPs), and technology and digital platform companies in the business of connectedness. The company builds, integrates, and operates solutions enabling next-generation technologies and innovations. Services global leaders including Verizon, CenturyLink, Adtran, Vodafone, Liberty Global, Windstream, Virgin Media, Rogers, and Deutsche Telekom among many others. The company’s customers today help more than a billion people and five billion devices stay connected.

. Skillset Required: English 2, SQL, Python, Data Engineer, Scikit, PyTorch, Japanese JLPT N2

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