发布于 2026-10-15
英文原文
数据工程师(乐天信用卡)
楽天カード株式会社(出向) システム本部 データ活用推進グループ:データサイエンティスト
楽天グループ
| 职种 | 数据与人工智能 |
雇用形态 | — |
| 工作地点 | 福冈办公室 |
薪资 | 面议 |
职位概要
乐天信用卡拥有超过3000万张发卡量,在日本信用卡购物交易额中排名第一,并致力于实现“Triple 3”目标(3000万张发卡、30万亿日元交易额、30%市场份额)。系统部门负责支付系统、债务管理系统、乐天e-NAVI、乐天信用卡App及呼叫中心系统等全部系统。本次招聘数据工程师,旨在挖掘现有数据价值,支持新的改进与项目。工作内容包括:构建数据管道和数据仓库,提供包括BI工具在内的集成分析环境;与业务团队合作定义数据收集需求,并利用数据创造新的创收服务。团队致力于为乐天信用卡所有服务利用数据,专注于数据基础设施建设、数据整理、向各业务部门提供数据以及推广数据利用。工作环境:中途入职60%,应届生40%,背景包括SIer、Web系统开发公司等;OS为Linux、RHEL、Ubuntu。必备条件:日语或英语商务沟通能力;计算机科学或相关领域知识;统计学基础理解;能独立工作并与国际同事协作;软件开发经验,尤其是Python和Java;有TensorFlow、scikit-learn、PyTorch或Keras等机器学习框架实施经验;Linux基础知识和操作技能;SQL和关系数据库知识。期望条件:回归、决策树、聚类等数据科学方法知识;使用神经网络进行自然语言处理的经验;使用Spark、Parquet、Hive、Impala或Kafka等工具管理和运营大数据的经验;使用云或Kubernetes设计、开发和运营AI基础设施的经验;使用数据仓库或BI系统分析数据的经验;开发与运营涉及大规模数据和事务的业务系统的实践经验。其他:工作地点为福冈办公室;受雇于乐天集团并借调至乐天信用卡。语言要求:英语中级、日语高级。
职位描述
Job Description: Business Overview Payment systems, including credit cards, electronic money, and web/app-based payment systems, have become an integral part of our daily lives. Rakuten Card boasts over 30 million issued cards and has achieved the No.1 position in Japan for credit card shopping transaction volume (self-issued basis)*1. Even as an industry leader, we continue to grow without slowing down, aiming for the ambitious "Triple 3" goals: 30 million issued credit cards, 30 trillion yen in shopping transaction volume, and a 30% market share in the credit card industry. *1 Based on shopping transaction volume of self-issued credit cards in Japan for FY2023, according to Yano Research Institute Ltd. (as of November 2024). This research result is an estimate based on qualitative research and analysis methods. Department Overview Our system department handles all systems supporting Rakuten Card's service lineup, including responding to the rapidly increasing number of members and transaction volumes, as well as enhancing the functionality of Rakuten e-NAVI and the Rakuten Card app. The scope of responsibility spans payment systems, debt management systems, Rakuten e-NAVI, the Rakuten Card app, and call center systems. Working with us provides the opportunity to engage in cutting-edge technology from the upstream stages, offering engineers a highly stimulating experience. Position: Why We Hire Rakuten Card is seeking data engineers to support new improvements and projects aimed at unlocking the value of existing data as part of our efforts to achieve the "Triple 3" goals. Our team aims to leverage data for all Rakuten Card services. We focus on building data infrastructure, organizing various data, providing data to different business units, and promoting data utilization for all Rakuten Card services. Position Details Build data pipelines and data warehouses, as well as provide integrated analytics environments, including BI tools. Define data collection requirements in collaboration with business teams and create new revenue-generating services using data. Work Environment Mid-career hires: 60% New graduates: 40% Backgrounds: SIers, web-based system development companies, etc. OS: Linux, RHEL, Ubuntu Mandatory Qualifications: ã» Business-level communication skills in Japanese or English Knowledge of computer science or related fields ã» Basic understanding of statistics ã» Ability to work independently and collaborate with international colleagues ã» Software development experience, particularly in Python and Java ã» Experience implementing machine learning frameworks such as TensorFlow, scikit-learn, PyTorch, or Keras ã» Basic knowledge and operational skills in Linux ã» Knowledge of SQL and relational databases Desired Qualifications: ã» Knowledge of data science methods such as regression, decision trees, and clustering ã» Experience in natural language processing using neural networks ã» Experience managing and operating big data using tools like Spark, Parquet, Hive, Impala, or Kafka ã» Experience designing, developing, and operating AI infrastructure using cloud or Kubernetes ã» Experience analyzing data using data warehouses or BI systems ã» Practical experience in developing and operating business systems involving large-scale data and transactions Other Information: Additional information on Location Fukuoka Office Additional information on Secondment You will be employed by Rakuten Group, Inc. and seconded to Rakuten Card Co., Ltd. â»For more information, please refer to the links below: ----------------------------------- â¼About Company ã»History of the Rakuten Brand ã»Rakuten Group as a Global Company ã»Giving Back to Society â¼ Latest Company News ã»Press Release ã»Investor Relations â¼ Video Links ã»Other Rakuten Group Activities â¼ Conditions of Employment ã»Rakuten Group Employee Benefits ----------------------------------- #engineer #datascientist #fintechgroup #RakutenCard Languages: English (Overall - 2 - Intermediate), Japanese (Overall - 3 - Advanced) In Japanese, Rakuten stands for âoptimism.â It means we believe in the future. Itâs an understanding that, with the right mind-set, we can make the future better by what we do today. So we challenge ourselves to evolve, innovate and experiment, to create a better, brighter future for everyone. Today, our 70+ businesses span e-commerce, digital content, communications and fintech, bringing the joy of discovery to almost 1.3 billion members across the world. If you have any trouble logging in, please contact us here Rakuten Group, Inc.: rakuten-recruiting-info@mail.rakuten.com *Please read the Application Requirements(EN) / åéè¦é (JP) before applying. Our Diversity & Inclusion Policy and Application Documents Rakutenâs corporate mission is to âcontribute to society by creating value through innovation and entrepreneurship.â We foster a culture that provides equal opportunities to those who share this founding philosophy and take on the challenge to transform society, regardless of age, gender, nationality, or any other status. Diversity is one of Rakuten's core strategies and a driving force for innovation. Because of this, you are not required to submit any of the following information in order to apply for our job positions. - Gender - Age - Photo - Nationality* - Information not related to business, such as ideological beliefs, family structure, etc. * For legal compliance, we may ask you about your work eligibility. See the details