Data Engineering Specialist

Job Description

Appealing Points:

• Work on cutting-edge cloud-native data platforms and scalable pipelines powering modern analytics and intelligent applications
• Opportunity to leverage AI-assisted engineering tools to boost productivity, innovation, and development efficiency
• Exposure to a diverse tech stack including distributed systems, streaming data, DevOps, and modern data architectures

Annual Salary: 8 Million yen and Above

Job Description:

• We are seeking a Data Engineering Specialist to design, develop, and maintain scalable data platforms and pipelines that support modern data-driven applications and analytics capabilities. This role focuses on building reliable data infrastructure, enabling efficient data processing, and integrating enterprise data systems across cloud-native environments.
• The successful candidate will contribute to the development of high-quality data pipelines, optimize data access and processing performance, and support the delivery of data services that enable analytics, reporting, and intelligent applications.

Job Responsibilities:

Data Pipeline Development

• Design, build, and maintain scalable data pipelines for ingestion, transformation, and processing of structured and unstructured data.
• Develop reliable ETL/ELT workflows to support analytics, operational systems, and data-driven applications.
• Implement automated data validation, monitoring, and quality assurance mechanisms within pipelines.

Data Platform Architecture

• Contribute to the design and implementation of scalable data architectures supporting batch and near real-time data processing.
• Develop efficient data models and schemas optimized for analytics and application consumption.
• Support the evolution of modern data platforms using distributed processing frameworks and cloud-native technologies.

Data Integration

• Build services and pipelines that integrate data from multiple enterprise systems and external sources.
• Implement event-driven data ingestion and streaming mechanisms where applicable.
• Enable reliable and secure data exchange between applications, data platforms, and analytics systems.

Job Qualification:

• Experience with AI expertise and a bilingual background.
• 6+ years of professional experience in data engineering, backend engineering, or data platform development
• Proven experience building and operating production-grade data pipelines and distributed data systems
• Experience working in cross-functional engineering and data teams

Language Proficieny : Business level 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.