Lead Data Engineer

Location Tokyo
Job type Permanent
Salary
Reference 56777
 

Position

Lead Data Engineer


Department: Data & Analytics
Employment Type: Full-Time
Language Requirement:

  • English: Business Level

  • Japanese: Business Level preferred (not mandatory)
    Company: Global Technology & Consulting Organization

Role Overview

The Lead Data Engineer will be responsible for architecting, developing, and sustaining scalable data platforms that address complex business requirements. This role involves close collaboration with stakeholders and project teams to transform business needs into high-performance, reliable, and maintainable data solutions.

This position is ideal for a hands-on technical leader who takes ownership of system design, enjoys solving complex challenges, and can guide large-scale data engineering initiatives from concept through delivery.

Key Responsibilities

  • Work closely with business users and project stakeholders to gather and clarify requirements

  • Translate functional and non-functional business needs into well-designed data architecture solutions

  • Design, build, and optimize scalable data pipelines using technologies such as Scala, Spark, or Java

  • Develop and maintain reusable frameworks for data ingestion, validation, transformation, and normalization

  • Create automation scripts supporting testing, CI/CD processes, data migration, and quality validation

  • Provide technical support for troubleshooting, incident analysis, and system recovery

  • Contribute to engineering best practices, coding standards, and comprehensive technical documentation

Required Experience and Skills

  • 3–6 years of experience as a software developer or data engineer

  • Strong programming experience in Scala, Java, or Python

  • Solid understanding of distributed data processing frameworks such as Hadoop and Spark, including performance optimization

  • Experience working with public cloud environments, with preference for Microsoft Azure

  • Knowledge of Oracle Database, Microsoft SQL Server, Linux environments, and foundational networking concepts

  • Proficiency in SQL, shell scripting, Git version control, unit testing, and CI/CD tools

  • Strong analytical thinking and the ability to learn new technologies quickly

Preferred Qualifications

  • Familiarity with RESTful APIs, NoSQL databases, microservices architecture, and ETL methodologies

  • Practical experience with cloud-native services

  • Experience in streaming data processing and change data capture (CDC)

  • Exposure to business intelligence tools is advantageous

Personal Competencies

  • Highly detail-oriented with the ability to independently lead the design and implementation of complex systems

  • Capable of clearly communicating technical concepts to non-technical stakeholders

  • Strong execution focus with the ability to apply expertise across multiple domains

  • Proactive learner motivated by new technologies and challenging problem-solving scenarios

  • Collaborative team player with strong interpersonal communication skills

Company Overview

This organization is a global consulting and technology services firm that partners with enterprises to drive digital transformation and sustainable growth. With a broad international presence and decades of industry experience, the company delivers comprehensive services across strategy, design, engineering, cloud, data, and operational transformation.

The firm combines advanced capabilities in artificial intelligence, cloud computing, and data platforms with deep industry expertise to create measurable value for clients worldwide.