Data Engineer / データエンジニア

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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. 2018年にサービスを開始してから約7年でユーザー数7000万人を突破したフィンテック企業であるPayPayは約50か国の国と地域から集まった多様なメンバーで構成されています。 OUR VISION IS UNLIMITED_ 我々は自分たちの想像を超える未来を創るためにあえて明確なビジョンは必要ないと考えています。常にDay1であるスタンスを忘れずに、誰もが想像できないようなビジョン（未来）を実現していくのがPayPayです。 この壮大なビジョンに前向きに取り組み、他社に真似できない圧倒的なスピードでプロダクトを磨き上げ、日本のキャッシュレス決済、またそれを使用した金融ライフプラットフォームとしての普及を一気に推進することにプロフェッショナルとして情熱を持って取り組み、自ら課題発見し、周囲と協力して新しい価値創出を共に推進する仲間を募集します。 ※ PayPay株式会社へご応募いただく際にはPayPayカード株式会社、PayPay証券株式会社へ併願応募はご遠慮いただいております。ご了承ください。 ▼関連コンテンツ 【PayPayが仕掛ける金融革命】米国ナスダック上場は通過点／デジタル金融プラットフォームに進化／決済・投資・貯蓄・保険などすべてPayPay／内製でシステム開発する理由／グローバル標準の金融サービス Job Description This position requires the successful candidate to be seconded to PayPay Bank Corporation after joining and take ownership of the bank's data engineering domain. By combining the solid financial foundation it has built as Japan's first internet-only bank with the assets of PayPay, one of the largest payment platforms in Japan, PayPay Bank is committed to creating innovative digital financial services that go beyond the traditional boundaries of banking. Guided by the mission of "Making financial services as accessible and seamless as air," we strive to provide financial experiences that naturally integrate into users' daily lives and aim to become "the bank people would recommend to their loved ones." As the business continues to grow, the importance of data utilization across both PayPay Bank and the broader PayPay Group is increasing rapidly. A robust data engineering foundation-one that delivers reliability, scalability, and security-is essential to support product enhancements, marketing initiatives, risk management, fraud detection, executive decision-making, and the advancement of various financial services. In this role, you will lead the design, development, and operation of PayPay Bank's data pipelines, data lakehouse architecture, and data governance platform, leveraging technologies such as Databricks, Terraform, and AWS. Your mission will be to accelerate data-driven innovation while ensuring the high levels of reliability, security, auditability, and regulatory compliance required of a financial institution. 本ポジションは、入社後にPayPay銀行株式会社へ出向いただき、PayPay銀行のデータエンジニアリング領域を担っていただくポジションです。 PayPay銀行は、日本初のネット専業銀行として培ってきた確かな金融基盤と、国内最大級の決済プラットフォームであるPayPayのアセットを掛け合わせ、「銀行」の枠を超えた新しいデジタル金融サービスの創出に取り組んでいます。 私たちは「金融サービスを空気のように身近に」というミッションのもと、ユーザーの日常に自然に溶け込む金融体験を提供し、「大切な人に勧めたい銀行」を目指しています。 事業成長に伴い、PayPay銀行およびPayPayグループにおけるデータ活用の重要性はますます高まっています。プロダクト改善、マーケティング、リスク管理、不正検知、経営意思決定、各種金融サービスの高度化を支えるためには、信頼性・拡張性・セキュリティを兼ね備えたデータエンジニアリング基盤が不可欠です。 本ポジションでは、Databricks、Terraform や AWS などの技術を活用し、PayPay銀行のデータパイプライン、データレイクハウス、データガバナンス基盤の設計・構築・運用をリードしていただきます。金融機関として求められる高い信頼性、セキュリティ、監査性、コンプライアンスを担保しながら、スピード感をもってデータ活用を加速させることがミッションです。 Job Responsibilities・具体的な業務内容 Design, develop, and operate robust and scalable data ingestion pipelines using technologies such as Databricks, AWS DMS, and Terraform Develop large-scale data processing workflows using Spark, Python, and SQL Design and build data integration platforms that connect banking services, payment systems, internal business applications, and external data sources Optimize data pipelines by combining Change Data Capture (CDC), streaming, and batch processing architectures Build and maintain data lakehouse and data catalog platforms leveraging Databricks Lakehouse and Unity Catalog Design and operate data governance capabilities, including data quality management, metadata management, data lineage, access control, and audit logging Improve performance, optimize costs, and enhance reliability for large-scale data processing environments Implement SRE and observability practices for data platforms, including monitoring, alerting, dashboards, and incident response Build, automate, and standardize data infrastructure using Infrastructure as Code (IaC) technologies such as Terraform Develop and maintain shared frameworks, tools, templates, and CI/CD pipelines to improve the efficiency and consistency of data engineering operations Partner with produ

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