Join a fast-growing fintech organization transforming how people access and use digital financial services. Serving tens of millions of users, the company combines the speed and innovation of a technology business with the reliability, security, and compliance standards expected of a financial institution.
You’ll work in a highly diverse, international environment with colleagues from around the world. The culture encourages curiosity, bold thinking, continuous learning, and the willingness to challenge conventional approaches. Employees are trusted to take on meaningful opportunities, develop their expertise, and help shape products used in everyday life.
Based in Tokyo, the organization offers a flexible hybrid working environment, comprehensive benefits, relocation and visa support, and clear opportunities for progression into senior technical leadership. It is an attractive setting for engineers who want their work to have significant, visible impact.
As a Data Engineer, you will build and operate the data foundation supporting next-generation digital financial services. Using Databricks, Delta Lake, AWS, Terraform, Spark, Python, and SQL, you will create robust, scalable pipelines and platforms that connect banking services, payment systems, and external data sources.
You will design data lakehouse and catalog capabilities, optimize CDC, streaming, and batch architectures, and establish strong data governance through quality controls, metadata, lineage, access management, and audit logging. You will also improve performance, reliability, cost efficiency, observability, and incident response across large-scale data environments.
Working closely with product, analytics, risk, and compliance teams, you will help turn trusted data into product innovation, business growth, and stronger fraud detection. You will contribute shared frameworks, infrastructure, tools, and CI/CD practices while helping shape a secure platform used by millions of people.
