About PayPay

PayPay is a fintech company that has grown to over 55M users since its launch in 2018. Our team is hugely diverse with members from over 50 different countries. To build "PayPay", we allied with Paytm; the biggest payment service company in India. Based on their customer-first technology, we created and expanded the smartphone payment service in Japan.Our biggest competitor is "cash". We seek people who can accept this challenge positively, brush up the product at a tremendous speed, and promote PayPay with professionalism and passion.

Job Description

  • Design, build, and maintain distributed batch and real-time data pipelines and data models.
  • Facilitate real-life actionable use cases leveraging our data with a user- and product-oriented mindset.
  • Be curious and eager to work across a variety of engineering specialties (i.e., Data Science, and Machine Learning to name a few).
  • Support teams without data engineers with building decentralized data solutions and product integrations, for example around DynamoDB.
  • Enforce privacy and security standards by design.
  • Conceptualize, design and implement improvements to ETL processes and data through independent communication with data-savvy stakeholders.

[Extra requirements depending on the potential team if it has been identified]



  • +3  years experience building complex data pipelines and working with both technical and business stakeholders.
  • Experience in at least one primary language (e.g., Java, Scala, Python) and SQL (any variant). 
  • Experience with technologies like BigQuery, Spark, AWS Redshift, Kafka, or Kinesis streaming.
  • Experience creating and maintaining ETL processes.
  • Experience designing, building, and operating a DataLake or Data Warehouse.
  • Experience with DBMS and SQL tuning.
  • Strong fundamentals in big data and machine learning.
  • ビジネスレベルの日本語もしくは英語(英語スキルは必須ではありません)

[Extra requirements depending on the potential team if it has been identified]


Preferred Qualifications

  • Experience with RESTful APIs, Pub/Sub Systems, or Database Clients.
  • Experience with analytics and defining metrics.
  • Experience with measuring data quality.
  • Experience productionalizing a machine learning workflow; MLOps
  • Experience in one or more machine learning frameworks, including but not limited to scikit-learn, Tensorflow, PyTorch and H2O.
  • Language ability in Japanese and English is a plus (We have a professional translator but it is nice to have language skills).
  • Experience with AWS services.
  • Experience with microservices.
  • Knowledge of Data Security and Privacy.

[Extra requirements depending on the potential team if it has been identified]


PayPay 5 senses

Working Conditions 

Employment Status

  • Full Time

Office Location

Work Hours

  • Super Flex Time (No Core Time)
  • In principle, 10:00am-6:45pm (actual working hours: 7h45m + 1h break)


  • 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.


  • Annual salary paid in 12 installments (monthly)
  • Based on skills, experience, and abilities
  • Reviewed twice a year
  • Special Incentive once a year *Based on company performance and individual contribution and evaluation
  • Late overtime allowance, Work from anywhere allowance (JPY100,000)


  • Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
  • 401K
  • Language Learning support
  • Translation/Interpretation support
  • VISA sponsor + Relocation support

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