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★Data Engineer | Featured Fin-tech Company Business Level Japanese Required (N1 Level) ◆ Hybrid Work ◆ In-house Development ◆ Global Environment ◆ Annual Salary： 8 million ～ 15 million yen. -------------【About the company】------------- The company operates at the intersection of finance and technology, leveraging high-level data expertise to redefine financial services. ■About the Group The group is a forward-thinking Fintech conglomerate enabling "Embedded Finance" through the provision of financial core systems designed for the future integration of AI agent functionalities. By driving Digital Transformation (DX) within the financial sector and lowering entry barriers for non-financial companies, the group aims to create a world where financial services are more seamlessly integrated into everyday life. With a portfolio of specialized operating companies, the group offers diverse opportunities to engage in various innovative businesses: ・Financial Service Development: Redefining the ideal state of financial services from a user-centric perspective and co-creating new services with partner businesses. ・Alternative Data Analytics: Providing advanced insights through a specialized data analysis firm. ・Securities Business Platforms: Delivering the underlying infrastructure for modern brokerage and trading services. ・Next-Generation Digital Insurance: Offering cutting-edge, tech-driven insurance solutions. -------------【 Job Description】------------- ■Job Overview As a Data Engineer, you will be involved in a wide variety of data-driven operations. Depending on your career goals and experience, you will have the opportunity to take on a broad range of initiatives, including building data infrastructure, conducting data analysis, developing SaaS products, and building Generative AI-related solutions. Note: Internal department assignment will be finalized in consultation with you, taking into account your professional background and personal career preferences. 【Responsibilities】 ・Design, implementation, testing, development, maintenance, and operation of data infrastructure ・Design, implementation, and operation of data pipelines for our in-house SaaS analytics service ・Providing customer support for the implementation of generative AI ■Recruitment Background Since its founding, the company has operated as a professional data team, providing decision-making support and building data infrastructure utilizing a wide variety of alternative data. In 2024, the company launched new business units to drive digital transformation (DX) and data utilization for commercial real estate, as well as initiatives to support clients with data platform development and Generative AI integration. The business has now entered a phase of accelerated growth. Data Engineers play an exceptionally vital role within this framework. Handling the data that serves as the very foundation of the business, they are responsible not only for internal operations but also for the development, processing, and analysis of data for client-facing products. In fact, over half of the company's workforce consists of Data Engineers, making them the central drivers supporting the growth of the business. ■Position Highlights 1. Hands-on Experience with Modern Data Stack The company leverages cloud-native technologies such as Snowflake, dbt, Airflow, Terraform, and AWS/Google Cloud/Azure to design, build, and operate robust and highly scalable data infrastructure. 2. Exceptional Teammates and Diverse Role Models The team comprises professionals with varied backgrounds—including consulting firms, SIers, the financial industry, and ML/LLM engineering—creating an environment where members can mutually learn from each other's expertise. 3. Opportunities to Excel in Multi-faceted Roles Beyond data engineering, the company provides opportunities to branch out into a wide range of fields depending on your career goals, including backend, infrastructure, frontend, AI model development, project management (PM), and product planning. 4. Benefits Supporting Growth and Work-Life Balance ・Flexible Workstyle: Choose between working from the office or remotely on a daily basis. ・Learning Support: An annual allowance of up to 120,000 yen for professional development. ・Housing Allowance: 50,000 yen per month for living within a 3km radius of the office. ・Cutting-edge Tools: Generative AI is integrated company-wide, actively utilizing an in-house LLM environment, GitHub Copilot, Devin, and other advanced tools. ・Global Exposure: Opportunities to participate in international conferences, with previous team achievements including speaking engagements at the Snowflake Summit held in the United States. ■Technology Stack Python, dbt, Airflow, Snowflake, Redshift, Terraform, Vue.js, React, AWS, Google Cloud, Azure, OpenAI -------------【 Requirements】------------- 【Required】 ■Data Engineering ・Experience in team-based system development and operation. ・Experience in development and operation using Python. ・Experience in development and operation on cloud infrastructure. ・Experience in building and operating data analytics infrastructure. ■Infrastructure Management ・Capability to build and manage public cloud resources (such as AWS) using IaC tools like Terraform. ・Experience in development utilizing container technologies such as Docker. 【Preferred】 ・Experience in face-to-face negotiations (client communication) ・Experience using ETL tools such as dbt, Dataform, and Glue ・Experience using workflow management tools such as Airflow ・Experience using IaC tools such as Terraform ・Knowledge of data management, as represented by the DMBOK ・Experience managing teams 【Ideal Applicants】 ・Customer-Centric Approach to Development: Capable of consistently considering the client's needs and working backward to prioritize development tasks effectively. ・Ownership of Product Growth: Treats product growth as a personal responsibility and is deeply dedicated to delivering client value through the product. Willing to step outside the designated scope of responsibility and contribute proactively to areas beyond their own to drive product success. ・Ability to Engage Others and Drive Initiatives: When addressing challenges, capable of mobilizing surrounding team members to push initiatives forward collectively rather than working in isolation. Prioritizes team-wide achievements over individual accomplishments. ・Strong Intellectual Curiosity and Passion for Learning: Possesses a strong appetite for gaining knowledge, not only in engineering domains but across various fields necessary for product improvement. Demonstrates the ability to actively apply newly acquired knowledge directly to business operations. ・Commitment to Execution and Attention to Detail: Willing to dive into meticulous tasks, paying close attention to every detail of the data to ensure clean, high-quality data and valuable analytical outcomes. -------------------------------------------------- 【Working Hours】 10:00～19:00 *Discretionary Work System 【Holidays】 ・Saturday/Sunday/National Holiday ・Annual Paid Leave ・New Year Holiday ・Congratulations & Condolence Leave 【Welfare】 ・Marriage Leave & Celebration Bonus ・Childbirth Leave & Celebration Bonus ・Bereavement Support ・Consecutive Leave ・Dependent Family Allowance ・Babysitter Discount Vouchers ・Sick Childcare Subsidy ・Housing Allowance ・Learning Support ・Offsite Support Program ・English Conversation Lessons ・Tuition Assistance ・Company-wide Generative AI Integration ・Comprehensive Social Insurance ・Full Commuting Allowance ・Employee Stock Ownership Plan ・Visa Support -------------------------------------------------------------------------