Jobs in Japan
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
PaypayThis position requires the successful candidate to be seconded to PayPay Bank Corporation after joining and take ownership of the bank’s data engineering domain. By combining the solid financial foundation it has built as Japan’s first internet-only bank with the assets of PayPay, one of the largest payment platforms in Japan, PayPay Bank is committed to creating innovative digital financial services that go beyond the traditional boundaries of banking. Guided by the mission of “Making financial services as accessible and seamless as air,” we strive to provide financial experiences that naturally integrate into users’ daily lives and aim to become “the bank people would recommend to their loved ones.” As the business continues to grow, the importance of data utilization across both PayPay Bank and the broader PayPay Group is increasing rapidly. A robust data engineering foundation—one that delivers reliability, scalability, and security—is essential to support product enhancements, marketing initiatives, risk management, fraud detection, executive decision-making, and the advancement of various financial services. In this role, you will lead the design, development, and operation of PayPay Bank’s data pipelines, data lakehouse architecture, and data governance platform, leveraging technologies such as Databricks, Terraform, and AWS. Your mission will be to accelerate data-driven innovation while ensuring the high levels of reliability, security, auditability, and regulatory compliance required of a financial institution.
7+ years of professional experience as a Data Engineer, Data Platform Engineer, or in a related role. Hands-on experience designing, building, and operating data lakes, data warehouses, or data lakehouse platforms. Experience processing large-scale datasets using one or more of the following technologies: Databricks, Delta Lake, or Apache Spark. Strong development experience using Python, PySpark, SQL, or related technologies. Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect. Experience developing and operating cloud-based systems on AWS. Experience building and managing infrastructure using Infrastructure as Code (IaC) tools such as Terraform. Proven experience designing and improving large-scale data pipelines with a focus on performance, reliability, availability, and operational excellence. Business-level Japanese proficiency (native-level or equivalent to JLPT N1/N2).
Experience building and operating data platforms within financial domains such as banking, fintech, payments, credit, securities, or insurance. Experience with event-driven data architectures and streaming data processing using technologies such as Kafka. Experience with Change Data Capture (CDC) tools such as Canal, Debezium, or Maxwell. Experience with data cataloging, access management, and metadata management solutions such as Unity Catalog or AWS Lake Formation. Experience improving monitoring and observability using tools such as Prometheus, Grafana, Datadog, or Amazon CloudWatch. Experience designing, building, and operating CI/CD pipelines using tools such as GitHub Actions or Jenkins. Experience operating cloud-native platforms using Kubernetes, Amazon EKS, Argo CD, or related technologies. Experience with data quality management, data lineage, data contracts, and master data management (MDM). Experience designing access controls, encryption, data masking, and audit logging for systems handling personal data, sensitive information, or financial transaction data. Experience establishing data engineering standards, development guidelines, shared libraries, and engineering best practices. Experience leading engineering teams, driving technological advancements.
