Data Systems Engineer
As a Data Systems Engineer, you will design and maintain data integrations, develop metadata pipelines, and collaborate with stakeholders to enhance data governance and interoperability.
PayPay is a FinTech company that has grown to over 75M (as of August 2026) users since its launch in 2018. Our team is hugely diverse with members from over 50 different countries.
OUR VISION IS UNLIMITED_
We dare to believe that we do not need a clear vision to create a future beyond our imagination. PayPay will always stay true to our roots and realize a vision (future) that no one else can imagine by constantly taking risks and challenging ourselves. With this mindset, you will be presented with new and exciting opportunities on a daily basis and have the opportunity to grow and reach new dimensions that you could never have imagined. We are looking for people who can embrace this challenge, refresh the product at breakneck speed and promote PayPay with professionalism and passion.
※ Please note that you cannot apply or be selected in parallel with PayPay Corporation, PayPay Card Corporation and PayPay Securities Corporation.
The Data Infrastructure team builds and operates the platform that powers data workloads across PayPay Group. We own the Databricks Lakehouse environment, the cloud infrastructure underneath it, and the tooling that keeps it running — from workspace provisioning and access governance to monitoring, alerting, and incident response.
This role sits at the intersection of cloud infrastructure and data platform engineering. You'll design and build AWS infrastructure using Terraform, support Databricks workspace and account operations, and improve platform reliability through SRE practices. Day to day, that means writing IaC, responding to operational issues, shipping platform services, and working directly with data engineers across the group to keep their workloads running smoothly.
We're looking for someone who can carry projects independently, thinks about systems beyond the ticket in front of them, and wants to go deeper on data infrastructure as a discipline. You don't need to know Databricks on day one — but you should be comfortable with AWS, Terraform, and the fundamentals of running production infrastructure.
Every Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days
Paid leave
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