Join a leading global internet services and digital technology company in Tokyo as a Senior DataOps Engineer, helping build and optimise scalable data infrastructure that supports high-volume digital consumer services across Japan.

This opportunity focuses on DataOps engineering, multi-cloud data pipelines, CI/CD automation and data platform operations, offering the chance to work within a large-scale international technology environment.

You will design and maintain reusable data pipeline templates that simplify data ingestion and analytics workflows across multiple cloud platforms. Your work will help engineering teams develop consistent, reliable and scalable approaches to data processing.

A key responsibility will be establishing automated CI/CD standards, testing gates and deployment workflows that improve the quality, efficiency and reliability of data engineering operations.

You will also manage and enhance workflow orchestration environments, using technologies such as Apache Airflow to support dependable data processing and automated pipeline execution.

Beyond hands-on engineering, you will help internal business units adopt the data platform by providing clear technical documentation, practical onboarding guidance and ongoing technical support.

Working closely with infrastructure, data engineering and data governance teams, you will identify opportunities to improve platform reliability, streamline development processes and strengthen operational standards.

The role offers exposure to Google Cloud Platform (GCP), Microsoft Azure, Python, SQL and modern data engineering practices, with opportunities to explore emerging technologies as the platform evolves.

You will join a collaborative engineering culture where English is the primary working language, enabling international professionals to contribute without requiring Japanese-language proficiency.

This position is well suited to an experienced DataOps Engineer, Data Engineer, Cloud Data Engineer, Data Platform Engineer or CI/CD Automation Engineer looking to contribute to large-scale data infrastructure while maintaining a healthy work-life balance.

Key Responsibilities

Design, develop and maintain scalable data pipelines supporting data ingestion, processing and analytics across multi-cloud environments.
Create reusable pipeline templates and engineering standards that enable consistent implementation across internal development teams.
Build and enhance automated CI/CD workflows for data engineering and platform operations.
Establish automated testing gates, validation processes and deployment standards to improve pipeline reliability and software delivery quality.
Manage, maintain and optimise workflow orchestration environments, including platforms such as Apache Airflow.
Support reliable execution and monitoring of scheduled data processing and analytics workflows.
Collaborate with infrastructure and data governance teams to improve the stability, maintainability and reliability of data platforms.
Provide technical documentation, onboarding materials and practical guidance to help internal business units adopt shared data engineering solutions.
Work with engineering stakeholders to identify and resolve pipeline automation, deployment and operational issues.
Contribute to improvements in cloud data architecture, engineering workflows and platform operational practices.
Promote reusable solutions and consistent standards that help internal teams develop, deploy and operate data pipelines more efficiently.
Evaluate opportunities to adopt emerging cloud platforms, data technologies and automation practices where they can improve engineering outcomes.

Required Skills and Qualifications

Experience:

Proven hands-on experience building, maintaining and improving data pipelines in a professional engineering environment.
Practical experience designing or implementing CI/CD automation workflows for data engineering or related software delivery processes.
Solid working knowledge of cloud data ecosystems, particularly platforms such as Google Cloud Platform (GCP) or Microsoft Azure.
Proficiency in Python for data engineering, scripting or workflow automation.
Strong working knowledge of SQL for data processing, querying and analytics-related workflows.
Understanding of automated testing, deployment processes and operational reliability within data engineering environments.
Ability to maintain and improve reusable pipeline components and automation processes.
Experience collaborating with technical teams to support data platform operations and engineering improvements.

Soft Skills:

Strong collaborative mindset and a genuine understanding of the needs of internal developers, business users and technical stakeholders.
Ability to communicate complex technical concepts clearly and translate them into actionable guidance.
Adaptable approach to learning emerging cloud platforms, data engineering technologies and automation tools.
Proactive attitude towards continuous improvement, technical problem-solving and platform reliability.
Strong interpersonal skills and willingness to support internal teams during onboarding and technology adoption.
Comfortable working in a multicultural, internationally distributed engineering environment.

Language Requirements:

English: Business-level proficiency is required for effective collaboration with international engineering teams and technical stakeholders.
Japanese: Not required. The primary working language is English.

Preferred Skills & Qualifications

Exposure to modern data table formats such as Apache Iceberg or Delta Lake.
Familiarity with streaming data technologies, including Apache Kafka or Apache Flink.
Knowledge of or interest in Infrastructure as Code (IaC) practices and tools such as Terraform.
Experience working with multi-cloud data architectures or shared enterprise data platforms.
Familiarity with improving data pipeline reliability, orchestration processes and deployment automation.
Interest in exploring modern cloud-native data technologies and scalable DataOps practices.

About the Company

Our client is a top-tier global internet services and digital technology organisation with a major engineering presence in Tokyo.

The company operates dozens of digital consumer services, supporting large-scale technology platforms used across Japan.

Its engineering environment combines enterprise-level operational stability with modern cloud and data technologies, creating opportunities to work on infrastructure that supports high-volume digital services.

The organisation is recognised for its vibrant international engineering community, where professionals from diverse backgrounds collaborate on technical challenges and platform improvements.

Cross-border collaboration is part of everyday working life, and English serves as the primary language within the international engineering environment.

The company promotes a technology-forward, supportive and collaborative culture, encouraging engineers to share ideas, develop their expertise and contribute to improvements in platform operations.

Joining this team offers the opportunity to strengthen your experience in DataOps, multi-cloud infrastructure, data engineering automation and scalable digital platforms within an established global technology business.

Why You'll Love Working Here

Work for a leading global internet services company with a strong engineering presence in Tokyo.
Contribute to large-scale data platforms supporting numerous digital consumer services across Japan.
Gain hands-on exposure to multi-cloud data engineering, GCP, Azure, Python and SQL.
Build and optimise CI/CD automation workflows and reusable data pipeline frameworks.
Work with Apache Airflow and modern data orchestration practices.
Collaborate with infrastructure, data governance and international engineering teams.
Enjoy a structured onboarding process with supportive colleagues who help you become productive at a comfortable pace.
Benefit from a low-pressure, collaborative working environment that values practical engineering improvements.
Take advantage of a modern hybrid working arrangement in Tokyo.
Maintain a healthy work-life balance through regular business hours.
Join an open, multicultural workplace where English is the primary language and Japanese proficiency is not required.
Work in an environment where your technical ideas, contributions and professional development are valued.

Don't Miss Out - Apply Now!

‌