Data Engineer (DaaS)

About PayPay

PayPay is a FinTech company that has grown to over 70M (as of July 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 rapid growth necessitates the expansion of its product teams and underscores the critical need for a resilient Data Engineering Platform. This platform is vital to support our increasing business demands. The Data Pipeline team is tasked with creating, deploying, and managing this platform, utilizing leading technologies like Databricks, Delta Lake, Spark, Scala, and the AWS suite.

We are actively seeking skilled Data Engineers to join our team and contribute to scaling our platform across the organization.

Main Responsibilities

• Create and manage robust data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform.

• Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines.

• Develop data processing workflows using Databricks, Snowflake, Delta Lake, and Spark technologies.

• Maintain and improve the Data Lakehouse, utilizing Unity Catalog for efficient data management and discovery.

• Construct automation, frameworks, and enhanced tools to streamline data engineering workflows.

• Collaborate across teams to facilitate smooth data flow and integration.

• Enforce best practices in observability, data governance, security, and regulatory compliance.

Qualifications

• Minimum 7 years as a Data Engineer or similar role.

• Hands-on experience with Databricks, Snowflake, Delta Lake, Spark, and Scala.

• Proven ability to design, build, and operate Data Lakes or Data Warehouses.

• Proficiency with Data Orchestration tools (Airflow, Dagster, Prefect).

• Familiarity with Change Data Capture tools (Canal, Debezium, Maxwell).

• Strong command of at least one primary language (Scala, Python, etc.) and SQL.

• Experience with data catalog and metadata management (Unity Catalog, Lakeformation).

• Experience in Infrastructure as Code (IaC) using Terraform.

• Excellent problem-solving and debugging abilities for complex data challenges.

• Strong communication and collaboration skills.

• Capability to make informed decisions, learn quickly, and consider 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.

•
LIFE in JAPAN FACTBOOK

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

Other Information:

• PayPay Inside-Out (Corporate Blog) /JP

• PayPay Inside-out (Corporate Blog) /ENG

• PayPay Product Blog /JP

• PayPay Product Blog /ENG