Data Engineer

Job type Permanent
Salary
Reference 56507

Position

Data Engineer (Full-Time)

Work Style

Hybrid / Flexible
Tokyo-based (central business district)

Company Overview

A rapidly growing global technology company specializing in AI-driven enterprise solutions is redefining how organizations manage complex documents, data, and workflows. Founded in the late 2010s, the company combines advanced artificial intelligence with deep domain expertise to deliver scalable, real-world products used by businesses across multiple regions, including Japan, North America, and Europe.

The organization actively collaborates with leading AI research partners and integrates large-scale language models and AI agents into production systems. With strong revenue growth and international expansion, it is recognized as one of the fastest-growing AI-focused companies in its sector.

Why This Role Is Important

The Data Engineer will play a critical role in building and operating the data foundation that supports AI-powered products and global business operations.

This position focuses on designing scalable, secure, and reliable data platforms that enable teams across engineering, product, analytics, and business functions to access and use data independently. The role sits at the intersection of data engineering, AI enablement, and platform architecture.

Key Responsibilities

  • Design, build, and operate company-wide data infrastructure used across multiple teams and regions

  • Develop secure and scalable data systems optimized for performance, cost efficiency, and availability

  • Build and maintain both batch and real-time data pipelines

  • Collaborate with analysts, analytics engineers, and product teams to define data requirements and usage patterns

  • Enable environments for data analysis, machine learning, and experimentation

  • Design systems that handle sensitive and regulated data in compliance with Japanese legal and security requirements

  • Apply AI- and agent-based approaches to enable self-service, AI-native data platforms

  • Continuously improve system reliability, monitoring, and operational efficiency

Required Qualifications

Experience

  • Minimum of 3 years’ experience as a Data Engineer or Site Reliability Engineer

  • Strong programming skills in Python, Go, or similar languages

  • Hands-on experience building data infrastructure on a major cloud platform (Google Cloud preferred)

  • Experience with Infrastructure as Code tools such as Terraform

  • Experience with real-time data processing or messaging systems (e.g., Kafka, Fluentd)

  • Business-level Japanese proficiency (equivalent to JLPT N1)

Preferred Qualifications

  • Experience designing or operating machine learning pipelines

  • Knowledge of data governance, metadata management, or data lineage frameworks

  • Experience with ETL/ELT orchestration tools and job schedulers

  • Data modeling experience for data warehouses or data marts

  • Familiarity with security best practices, including access control and encryption

Technology Environment

  • Cloud platform: Google Cloud

  • Languages: Python, Go

  • Infrastructure: Terraform

  • Data streaming and logging: Kafka, Fluentd

  • Modern AI-assisted development tools and enterprise AI platforms

Working Conditions & Benefits

  • Fully flexible working hours with no core time

  • More than 120 days off annually (weekends and public holidays)

  • Paid leave available from the first day of employment, plus special leave options

  • Full social insurance coverage

  • Budget for professional development and self-learning

  • Language learning support

  • Employee equity or stock participation program

  • Side projects permitted with prior approval

  • Strong commitment to diversity, inclusion, and flexible work practices

Location

  • Modern office in a central Tokyo business hub

  • Excellent access and work environment

  • Hybrid work arrangement supported