PayPay
Data Engineer, DaaS
Job Description
About PayPay
PayPay is a FinTech company that has grown to over 69M (as of May 2025) 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.
Job Description
PayPay's growth is driving a rapid expansion of PayPay product teams and the need for a robust Data Engineering Platform to support our growing business needs is more critical than ever. The DaaS team’s responsibility is to design, implement, and operate this platform using cutting edge technologies such as Spark, Databricks, Delta Lake, PySpark, Scala, and AWS suite of tools.
We are looking for talented Data Engineers to join our team and help us scale our platform across the organizations.
Main Responsibilities
- Design, develop, and maintain scalable data ingestion pipelines using Databricks, Airflow, Lambda, and Terraform
- Optimize and manage large scale data pipelines to ensure high performance, reliability, and efficiency
- Implement data processing workflows using Spark, Delta Lake, PySpark, and Scala
- Maintain and enhance Data Lakehouse with Unity Catalog for effective data management and discovery
- Build automation, framework, and improved tooling to support end to end data engineering workflows
- Collaborate with cross-functional teams to ensure seamless data flow and integration across the organization
- Implement best practices for observability, data governance, security, and compliance
Qualifications
- 5+ years experience as a Data Engineer or in a similar role
- Hands-on experience with Databricks, Delta Lake, Spark, and Scala
- Experience designing, building, and operating a DataLake or Data Warehouse
- Knowledge of Data Orchestration tools such as Airflow, Dagster, Prefect
- Familiarity with change data capture tools like Canal, Debezium, and Maxwell
- Experience in at least one primary language (e.g. Scala, Python) and SQL (any variant)
- Experience with data cataloging and metadata management using AWS Glue Data Catalog, Lakeformation, or Unity Catalog
- Proficiency in Terraform for infrastructure as code (IaC)
- Strong problem-solving and debugging skills to troubleshoot complex data issues
- Excellent communication and collaboration skills
- Able to make sound decisions and learn quickly while factoring in complex technical contexts
PayPay 5 senses
- Please refer PayPay 5 senses to learn what we value at work.
Working Conditions
Employment Status
- Full Time
Office Location
- Hybrid Workstyle (flexible working style including Remote and office)
※There are no fixed rules regarding office attendance in Product group; it depends on each individual's discretion.
Work Hours
- Super Flex Time (No Core Time)
- In principle, 9:00am-5:45pm + 1h break (actual working hours: 7h45m + 1h break)
Holidays
-
Every Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days
Paid leave
- Annual leave (up to 14 days in the first year, granted proportionally according to the month of employment. Can be used from the date of hire)
- Personal leave (5 days each year, granted proportionally according to the month of employment）
＊PayPay's own special paid leave system, which can be used to attend to illnesses, injuries, hospital visits, etc., of the employee, family members, pets, etc.
Salary
- Annual salary paid in 12 installments (monthly)
- Based on skills, experience, and abilities
- Reviewed once a year
- Special Incentive once a year *Based on company performance and individual contribution and evaluation
- Late overtime allowance
※Payroll payment can be changed to digital salary payment “PayPay Paycheck” for an amount set by you
Benefits
- Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
- 401K
- Translation/Interpretation support
- VISA sponsor + Relocation support
PayPay
PayPay is an app that lets you make easy and convenient payments with just your smartphone. Registration is complete in as little as one minute! You can use it at stores, for online services, and to pay bills.
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