【Data Engineer】Famous Venture Company /Hybrid work/ JLPT N2

★Data Engineer / Featured Cloud Accounting Software

• Business Level Japanese Required

◆Hybrid Work

◆Famous Venture Company

◆Annual Salary： 5.6 million ～ 11 million yen.

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

The company was established in 2012. Beginning with cloud-based accounting software, it has since developed and provided a range of cloud services—including HR and labor management as well as support for company incorporation—aimed at streamlining back-office operations for small businesses.

However, the world the company envisions is only just beginning. Moving forward, it aims to build a comprehensive platform for small businesses that fully leverages the power of the cloud, creating unprecedented new value and business opportunities.

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

■ Summary

The company scales its business using a multi-product strategy, delivering a wide range of platforms to the market, including accounting and HR/labor management solutions. In this role, the candidate will develop and operate a data platform that supports diverse data users across the organization, including product development, sales, marketing, analysts, and AI engineers.

Having multiple touchpoints with customers through various products creates immense data utilization needs. The company must support use cases ranging from analytics to sales, marketing, AI implementation, and the development of data products. However, the platform required to unlock this full potential has not yet been fully established. While there is a massive internal demand and high potential to deliver fresh value to clients, it remains a heavily underutilized opportunity.

This position serves as the absolute baseline for data utilization, tasking the candidate with the development and operation of the data platform and data integration systems. Beyond stably integrating this platform as core business infrastructure, the role requires enabling data users to utilize data confidently while maintaining a high standard of security. Data engineers here carry the pride of maintaining and elevating business infrastructure while continuously reaching for greater technological heights.

The company's data platform is currently in a major transformative phase. This position goes beyond simple data analysis, directly contributing to delivering value to the end customer. Why don’t you join in and help make data platforms and data utilization a success?

■ Current Challenges / Future Outlook

Historically, the company's data utilization focused primarily on data analysis. However, with the rise of Generative AI and other technological shifts, the demand for leveraging data as a core resource has become increasingly diversified and complex.

Furthermore, driven by the multi-product strategy, the company now interacts with customers through numerous distinct applications. This has triggered a critical need to cross-reference and utilize data seamlessly across different product lines.

The current data infrastructure has struggled to keep pace with these evolving demands. In response, the organization has identified a hub-and-spoke Data Mesh architecture as the ideal approach and is actively building out and launching this new platform.

■Responsibilities

Data Platform Engineers serve as the foundational bedrock for all specialized data roles, covering a diverse operational scope. While the company continuously evaluates the optimization and specialization of roles based on organizational growth and shifting demand, the current core responsibilities are as follows:

Development of Data Integration Functions

Development of data integration functions for databases and logs in microservices

Development of data integration functions for SaaS and external data sources used for business and internal purposes

ETL processing for data cleansing and pseudonymization

Operation of the data platform

Governance management of cloud infrastructure

Management and optimization of data infrastructure costs

Development and operation of basic infrastructure and applications, such as BI tools

Exploration of data utilization

Validation and development of data utilization applications for customers

■Position Highlights

Engaging in the Development of a Large-Scale, Cutting-Edge Data Platform:

With multiple products and a diverse range of utilizing departments, both data formats and internal needs are incredibly varied. Capturing these complex requirements and translating them into concrete, high-value technical solutions offers a rare opportunity that few other companies can match. Furthermore, because the services primarily center around back-office operations, there is a strong latent demand for cross-functional data utilization. This provides an excellent environment to design large-scale, highly reusable architectures.

Developing Data Platforms Using the Latest Cloud Services and Tools:

You can build and scale platforms using modern cloud ecosystems like AWS and Google Cloud, along with contemporary tools such as Docker. Recently, the organization has also actively integrated Generative AI capabilities into the platform development lifecycle.

Driving Incremental Data Utilization Projects in Close Proximity to Product and Business Units:

Data utilization cannot be successfully completed by engineers alone; it requires a collaborative pursuit of value alongside the actual end-users. Aligned with the company's core values, when an operational bottleneck is identified and an internal initiative gains traction, the organization possesses the agility to rapidly deliver results. This execution speed serves as a powerful motivator and driving force for the data platform team.

Operating Within a Cross-Functional, Topology-Based Organization:

By transitioning to a hub-and-spoke Data Mesh architecture, the company is gradually shifting toward a topology-based organizational structure. While a single team can rarely achieve everything in isolation, the organization is upgrading into a highly autonomous and productive ecosystem by deliberately designing team interfaces and clear communication frameworks. This invaluable organizational experience is made possible precisely due to the large scale of the enterprise and its products.

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

【MUST】

Technical & Development Experience

2+ years of experience in application development using Python

2+ years of practical experience utilizing SQL in a professional environment

Proven experience designing and operating data warehouses (DWH) and analytics environments

Hands-on experience developing systems that integrate multiple disparate data sources, including external services and SaaS APIs

Mindset & Soft Skills

Ability to clearly define issues and hypotheses, driving deliverables even in highly uncertain projects by maintaining proactive communication inside and outside the team

Strong aptitude for balancing abstract concepts with concrete execution, with the ability to produce clear, structured documentation for development projects

【WANT】

Technical & Development Experience

Hands-on development and operational experience with cloud-native data warehouses (e.g., AWS, Google Cloud, Azure, Snowflake, Databricks).

Proven track record of launching a 0-to-1 data utilization project.

Experience in product management or a similar capacity, where the candidate prioritized feature development by identifying customers' latent and explicit needs.

Web application development experience.

Experience developing production-grade API endpoints.

Mindset & Soft Skills

Experience launching and managing an organization or team.

Proven experience in mentoring and people management—such as understanding members' skill sets and growth aspirations to align them with the right project assignments and provide actionable career guidance.

Experience formulating 1-to-2 year forward-looking strategies in a specific technical domain, aligning with executive management (or equivalent layers), and translating those high-level discussions into an actionable execution plan.

Experience defining and verbalizing existing bottlenecks within a specific domain to design and stand up a fresh architecture entirely from scratch.

【Ideal Applicants】

Capable of communicating with various roles to properly manage expectations, demonstrating the grit to drive incrementally toward ambitious goals even when hands-on, unglamorous work is required.

Proactively catches up on unfamiliar domains and technologies, rapidly translating new knowledge into tangible, high-quality output.

Understands the true essence of psychological safety; able to align on contextual backgrounds while discussing, defining, and realizing ideal solutions to organizational challenges.

Willing and eager to consistently contribute acquired expertise, technical know-how, and key project experiences back to the team and broader organization.

--------------------------------------------------

【Working Time 】

Discretionary Work System

【Insurance】

・Full Social Insurance

・Commuting Allowance

・Training/Self Development Allowance

【Holiday】

・Saturday/Sunday/National Holiday

・Annual Paid Leave

・New Year Holiday

・Sick Leave

【Welfare】

Lunch subsidies

Team social expenses

Marriage and childbirth gifts (including same-sex partners and de facto marriages)

Original T-shirts and hoodies

Support for club activities ("Off-katsu")

Support for book purchases

Internal library system

Support for obtaining certifications and skills

Housing allowance

Leased corporate housing

Subsidy for housekeeping services

Subsidy for babysitting services

Free drinks, etc.

-------------------------------------------------------------------------