Data Analysis Services Company | Data Engineer | Hybrid Work| Japanese Business Level

★Data Engineer | Featured Fintech Startup

• Business Japanese REQUIRED

★Hybrid Work

★Own Products/Services

★Life Support & Learning Support

★Annual salary: 8 million yen - 12 million yen

-------------【About the company】-------------

A University of Tokyo-born startup leveraging big data and generative AI to support data utilization and digital transformation (DX), primarily for major enterprises.

The company operates businesses that support corporate decision-making by utilizing various alternative data—such as credit card data, POS data, and location data—as well as businesses that facilitate decision-making across society through data infrastructure construction support and generative AI development.

■Services & Solutions Offered

・Institutional Investor Analytics: Data analytics services utilizing POS and credit card transaction data.

・JCB Consumption Trend Index: Industry-by-industry consumer spending indicators built on JCB card payment data.

・Nikkei Daily Price Index: Daily inflation and price tracking metrics powered by Nikkei POS data.

・HRog Recruitment & Wage Indices: Job posting and offered wage indices derived from HRog recruitment advertising data.

・Commercial Real Estate DX Services: Data utilization and digital transformation solutions tailored for commercial real estate.

・Enterprise DX Solutions: AI- and data-driven end-to-end DX implementation services for corporate clients.

・Public Sector & Local Government Solutions: Analytics and Generative AI-powered solution services for public administration and municipal entities.

・Led by a "Snowflake Data Superhero":

The company's technology strategy is spearheaded by its VP of Data & AI, who holds the prestigious "Snowflake Data Superhero" designation—a globally recognized elite tech leader status awarded to only 128 individuals worldwide (and just 15 in Japan) for FY2026.

-------------【 Job Description】-------------

A University of Tokyo-launched startup engaging in business using big data and generative AI, providing data utilization and DX support primarily for enterprise clients.

The company operates businesses that support corporate decision-making leveraging various alternative datasets—such as credit card data, POS data, and location data—as well as initiatives that streamline broader decision-making processes through data infrastructure engineering and generative AI development.

Services & Solutions Offered

・Analytical service for institutional investors using POS data and credit card data

・Industry-specific consumption trend index using JCB card payment data

・Daily price index using Nikkei POS data

・Offered wage index and job opening index using HRog recruitment ad data

・Service supporting data utilization and DX for commercial real estate

・Solution service supporting corporate DX promotion focused on data and generative AI

・Solution service utilizing data analysis and generative AI for local governments and government agencies

・Technical environment with a resident "Snowflake Data Superhero"

・World-class technical expertise and knowledge

*A data engineer recognized for deep technical expertise and community contributions—one of only 128 selected among data experts worldwide—leads the company's data strategy.

Culture of Knowledge Sharing

Selection as a "Snowflake Data Superhero" requires not only exceptional technical expertise, but also "selfless knowledge sharing" through blogs and speaking engagements. This spirit of "generously sharing knowledge with peers" is the engineering culture itself, creating one of Japan's leading growth environments where engineers can receive direct reviews from those defining industry standards.

An Organization that Respects and Supports Individual Challenges

The company views engineers' external activities and technical development as essential "investments" for organizational growth. An open environment exists here where engineers take center stage and their challenges are respected to the fullest.

Recruitment Background

In recent years, the data services market has expanded rapidly with a Compound Annual Growth Rate (CAGR) of approximately 18.15%, driving an increasingly high demand for Data Engineers in the AI era.

In this growth domain, the company is redefining data infrastructure from a software perspective and promoting the "software productization of data infrastructure." Consequently, the design skills, engineering capabilities, and quality-driven mindset cultivated as a Software Engineer are critical to advancing data engineering.

In this recruitment, the company seeks individuals who can leverage their experience in "design, quality, and development operations" gained as a Software Engineer to build and operate data platforms and pipelines.

【Overview】

As a Data Engineer, you will be involved in various data-related tasks.

Depending on career aspirations and experience, candidates can take on a wide range of responsibilities, including data infrastructure engineering, data analysis, product development, and generative AI development.

*Internal team assignments will be determined through discussion with the individual, taking into account experience and preferences.

【Responsibilities】

Design, implementation, testing, development, maintenance, and operation of data infrastructure

Design, implementation, and operation of data pipelines for our proprietary products

Supporting customers in the implementation of generative AI

You can leverage your experience such as:

①System design and software development expertise built as a Software Engineer can be directly leveraged within the broader industry trend toward the "software productization" of data infrastructure.

②Knowledge of microservices architecture can be applied directly to data mesh and lakehouse architecture design.

③Hands-on experience with Test-Driven Development (TDD) and Continuous Integration / Continuous Deployment (CI/CD) can be extended to automated testing and quality assurance for data pipelines.

④Database tuning experience can be utilized in large-scale Data Warehouse (DWH) optimization, query performance tuning, and system efficiency improvements.

⑤Logical thinking, code readability, and a commitment to maintainability cultivated in software engineering directly translate into higher data quality, reproducibility, and robust schema design.

Position Highlights

①Leverage software engineering experience while building high-demand, core technical competencies essential for the AI era.

②Hands-on involvement from architecture design through implementation using cutting-edge cloud technologies and the Modern Data Stack (Snowflake, dbt, Airflow, Terraform, AWS/Google Cloud/Azure).

③Realize a career path that transforms software engineering capabilities ("the power to build") into strategic insights ("the power to drive data-driven decision-making").

④Position data at the core of products and business operations to generate direct, strategic business impact.

⑤Continuously advance professional skills by engaging with front-line technology domains, including AI, real-time analytics, and personalization.

-------------【 Requirements】-------------

【Required】

[Data Engineering]

Experience in system development and operations as part of a team

Experience in development and operations using Python

Experience in cloud infrastructure development and operations

Experience in building and operating data analytics platforms

[Infrastructure Management]

Ability to build and manage public cloud resources (e.g., AWS) using IaC tools such as Terraform

Experience in development using 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】

Consistently evaluates customer needs and determines development priorities by working backward from those requirements.

Takes personal ownership of product growth, showing deep commitment to delivering tangible customer value through the product. Flexible in going beyond individual responsibility areas to actively contribute to overall product success.

Solves complex challenges by engaging and leveraging surrounding team members rather than working in isolation. Prioritizes collective team outcomes over individual achievements.

Eagerly absorbs new knowledge—from core software engineering to domain-specific product insights—and directly applies learned concepts to daily operations.

Pays scrupulous attention to detail when working with complex data to ensure high accuracy, cleanliness, and insightful analysis through careful, deliberate execution.

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【Working Time 】

10:00～19:00

【 Welfare 】

・Full social insurance

・Incentive (trust-type SO) system available

・Commuting allowance

・Visa support

・No smoking indoors

Life Support

・Marriage leave and congratulatory money: Special paid leave (7 days) and congratulatory money (50,000 yen) are provided for marriages.

・Parental leave and congratulatory money: Special paid leave (5 days) and congratulatory money (500,000 yen per baby!) for the birth of a child. (500,000 yen per baby!!!)) are provided for the birth of a child.

・Support for congratulatory and mourning occasions: Special paid leave (3 to 7 days) is provided for marriage, childbirth, and of course, in case of any misfortunes that may occur.

・Consecutive vacation days: In addition to paid leave, employees are allowed to take 5 consecutive days off.

・Allowance for dependents: Up to 100,000 yen per month per person depending on the number of children before elementary school age

【 Holiday 】

・Saturday/Sunday/National Holiday

・Annual Paid Leave

・New Year Holiday

・Parental Leave

・Congratulations & Condolence Leave

・Summer Holiday

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