Join one of Japan's leading e-commerce and fintech technology companies as a Senior Data Engineer, helping to develop and optimise enterprise-scale cloud data infrastructure within a major digital ecosystem.
Based in Tokyo, this contract opportunity focuses on building and maintaining Google Cloud Platform (GCP) data pipelines, data warehouses, analytical data models and business intelligence solutions that support data-driven decision-making across the organisation.
You will design, develop and optimise scalable data engineering solutions using GCP, BigQuery, Google Cloud Storage (GCS), Python, SQL and shell scripting, ensuring that data is processed efficiently and made available to business stakeholders.
The role includes responsibility for data infrastructure operations, batch processing, workflow scheduling and Airflow-based orchestration, alongside the development of reporting-specific data marts and interactive business dashboards.
Working closely with cross-functional technology and business teams, you will translate reporting and analytical requirements into reliable data models, visualisation solutions and high-performance data pipelines.
You will also play an important role in maintaining data quality, accuracy, system performance and technical documentation, helping ensure that enterprise data platforms remain dependable and fit for business use.
This opportunity is open only to candidates currently residing in Japan who hold valid work authorisation. It is particularly suitable for an experienced GCP Data Engineer, BigQuery Engineer, Cloud Data Engineer, ETL Developer or Business Intelligence Data Engineer seeking a high-impact role in Tokyo.
Key Responsibilities
- Design, develop and optimise scalable cloud-based data pipelines, data models and data warehouse solutions using Google Cloud Platform.
- Build and maintain data processing solutions using BigQuery, Google Cloud Storage, Python, SQL and shell scripting.
- Manage data infrastructure, compute and storage resources, batch scheduling and operational workflows within the cloud environment.
- Maintain and support the organisation's Apache Airflow-based workflow orchestration framework, ensuring reliable batch processing.
- Design and implement reporting-specific data marts that support business analytics and operational reporting requirements.
- Develop and deliver interactive dashboards and data visualisations using business intelligence tools.
- Collaborate with business stakeholders, analysts and cross-functional technology teams to gather requirements and translate them into practical data solutions.
- Monitor and improve data quality, processing accuracy, pipeline reliability and system performance across the data ecosystem.
- Investigate and resolve data pipeline failures, performance bottlenecks and operational issues through structured troubleshooting.
- Create and maintain comprehensive technical documentation, data workflow specifications and operational procedures to support ongoing platform reliability.
Required Skills and Qualifications
Experience:
- Bachelor's degree in Computer Science or an equivalent qualification, with 3+ years of end-to-end data engineering experience, including SQL and Linux/cloud operations.
- Hands-on experience designing and building data warehouse environments on Google Cloud Platform, particularly using BigQuery and Google Cloud Storage (GCS).
- Strong practical proficiency in SQL, Python, shell scripting and Git for data processing, development and version control.
- Solid understanding of data modelling, data warehousing, big data concepts and scalable analytical data architectures.
- Experience developing and maintaining batch ETL/ELT pipelines and managing data transformation workflows.
- Practical experience operating within Linux and cloud-based infrastructure environments.
- Proven ability to design, develop and deploy interactive business intelligence dashboards using Tableau, Power BI, DOMO or MicroStrategy.
- Experience maintaining data accuracy, processing efficiency and operational reliability in production data environments.
Soft Skills:
- Strong analytical thinking and problem-solving skills for diagnosing data engineering and infrastructure challenges.
- Effective communication and collaboration skills when working with technical teams, analysts and business stakeholders.
- Ability to understand business reporting requirements and translate them into practical data models and visualisation solutions.
- Excellent attention to detail, particularly when managing data quality, system reliability and technical documentation.
- Strong organisational skills and the ability to coordinate multiple data engineering, reporting and operational priorities.
- Proactive approach to continuous improvement, technical learning and data platform optimisation.
Language Requirements:
- English: Intermediate to business level for technical communication and collaboration in an international technology environment.
- Japanese: Basic level. Advanced Japanese proficiency is not specified as a requirement.
- Additional eligibility requirement: Applicants must be currently residing in Japan and possess valid work authorisation.
Preferred Skills & Qualifications
- Hands-on experience with managed Apache Airflow, including workflow scheduling, orchestration and pipeline operations.
- Experience with Apache Kafka, Spark Streaming or real-time data streaming architectures.
- Familiarity with Docker and Kubernetes for containerisation and orchestration.
- Experience using Atlassian tools, including Jira, Confluence and Bitbucket.
- Understanding of operating and maintaining production systems under defined Service Level Agreements (SLAs) and Service Level Objectives (SLOs).
- Interest in or exposure to modern cloud data engineering, streaming technologies and AI-assisted development tools.
About the Company
Our client is one of Japan's leading e-commerce and fintech technology companies, operating a large-scale digital ecosystem that supports millions of daily transactions.
The organisation provides more than 70 interconnected services, creating a complex technology environment where reliable data engineering and advanced analytics play an important role in business operations.
Its data ecosystem is among the largest in Japan, offering engineers opportunities to work with high-volume data processing, enterprise-scale cloud infrastructure and modern analytical technologies.
The company uses Google Cloud Platform and data-driven technology solutions to support reporting, operational insight and informed business decision-making across its digital services.
Its Tokyo-based technology teams focus on innovation, continuous learning and technical excellence, providing opportunities for engineers to strengthen their expertise in cloud data infrastructure and analytics.
This role offers the chance to contribute to large-scale data engineering initiatives while developing practical experience with GCP, data warehouse technologies, workflow orchestration and business intelligence platforms.
Why You'll Love Working Here
- Join one of Japan's leading e-commerce and fintech companies and contribute to a major digital technology ecosystem.
- Work with one of Japan's largest data environments, supporting more than 70 interconnected services.
- Develop and optimise enterprise-scale GCP data pipelines and BigQuery data warehouse solutions.
- Gain hands-on experience with Python, SQL, Google Cloud Storage and Airflow-based orchestration.
- Build business intelligence dashboards and reporting data marts that support data-driven decisions.
- Gain exposure to modern streaming architectures, cloud technologies and AI-assisted development tools.
- Collaborate with a forward-thinking technology team in Tokyo focused on continuous learning and engineering quality.
- Strengthen your expertise in ETL/ELT pipelines, data modelling, data quality and cloud infrastructure operations.
- Contribute to high-impact data solutions supporting millions of daily transactions across a large digital ecosystem.
- Advance your career as a Senior Data Engineer, GCP Specialist or Cloud Data Engineering Professional within a technology-driven organisation.
Don't Miss Out - Apply Now!
