• Full-time

Publication date： 2025.10.24

【N2レベルOK】 リードデータエンジニア (13622)

  • System Engineers / Infrastructure Engineers / Web Engineers / Game Developers
  • Tokyo
  • Salary： 750万円～1200万円
【N2レベルOK】 リードデータエンジニア (13622)
職種Position System Engineers / Infrastructure Engineers / Web Engineers / Game Developers
会社概要Company profile Company Overview
They provide comprehensive solutions across management, business, and organizational axes by leveraging AI and data to evolve corporate decision-making mechanisms. They are not merely an analytics firm, an advertising agency, or a SaaS vendor. They are a data-driven company that partners with ambitious enterprises and commits to delivering tangible results.

Their business is structured around three main pillars:

Data-Driven Consulting and Analytical Support Linking Management and Operations
Through the planning and execution of DX (digital transformation) and data utilization strategies, they establish a coherent decision-making process between management and operational teams. By employing KPI design, fact-based analysis, BI development, and funnel breakdowns, they promote DX initiatives that balance practical insights and logical reasoning, ensuring consistent and well-grounded implementation.

Marketing Execution and Technology Implementation to Maximize LTV
They support initiatives ranging from acquiring new customers to strengthening engagement with existing ones, leveraging advertising operations, CRM measures, social media, and advanced tools such as generative AI and BI products. Their goal is to implement sustainable business growth at the operational level.

Internal Capability Building and Organizational Strengthening
Rather than outsourcing analytics and initiatives entirely, they aim to enable clients to make autonomous decisions. They assist in internalizing data utilization and tool operation, enhancing on-site capabilities, and enabling long-term organizational transformation.

Rather than repeating scratch development for each client, they maintain a versatile product infrastructure that allows them to deliver support efficiently and flexibly. With in-house products like BI Suite and AI Craft, they provide an engineering environment capable of designing and implementing “actionable AI” and “effective data platforms.”

Attractiveness of the Company / Work Environment
As a wholly-owned subsidiary of Mitsui & Co., they offer a stable management foundation.
仕事内容Job description Job Description

End-to-end responsibilities for data analytics projects, including requirements definition, design, construction, testing, release, operation, and maintenance of data platforms.

Data collection from various sources, and design, development, and operation of data pipelines (ETL/ELT processes).

Data management tasks, including data quality control, metadata management, data governance, and security measures.

Mentoring junior team members, managing tasks, and supporting project coordination with related departments and overseas offices.

Researching new technologies, conducting PoCs, and establishing and disseminating best practices in data engineering.

Documentation, facilitating internal communication, and providing training and support for effective data utilization within the company.

Development Environment

Infrastructure: Google Cloud (BigQuery, Cloud Storage, Compute Engine, etc.)

Pipeline Tools: Dataform, Digdag, etc.

Programming Languages: SQL, Python, Shell scripting, etc.

Management Tools: Git, CI/CD (GitHub Actions, Cloud Build, etc.)

Task Management & Communication: Notion, Slack, etc.

Attractiveness of the Position & Expected Career Path

Participation in Global Projects: Collaborate with overseas offices and multinational teams, gaining experience in large-scale data utilization projects.

Leadership Opportunities: Lead projects, mentor junior members, and contribute to team and organizational development.

Exposure to Latest Technologies: Work in an environment that actively adopts new cloud technologies and tools in the big data domain, including Google Cloud.

Career Path: After gaining experience as a leader in data engineering, there are opportunities to advance to an architect role or to manage multiple teams, expanding your career trajectory.
応募資格Requirement Required Skills
・At least 3 years of experience in building and operating cloud data platforms, such as Google Cloud or BigQuery.
・Experience designing and implementing data pipelines using SQL and Python.
・Practical knowledge and experience with ETL/ELT processes.
・Experience as a team lead or mentor, having guided and developed 2–3 or more engineers.
・Ability to communicate effectively in Japanese, particularly for internal communication within the company, as well as with external stakeholders.

Preferred Skills
・Deep understanding and practical experience in data management areas, such as data governance, metadata management, and data quality management.
・Experience participating in global projects or proficiency in English communication.
・Experience operating pipeline tools.
・Knowledge of distributed processing architectures for large-scale data (e.g., Hadoop, Spark).
・Knowledge of DevOps or MLOps practices.
・Experience building and operating cloud data platforms on AWS, Azure, or other cloud services.
日本語力Japanese level Advance (Able to interview)
雇用形態Employment type Full-time
勤務エリアLocation Tokyo
勤務時間Working hours フレックス制(実働 7.5時間) コアタイムあり(コアタイム:11:00 - 1
想定年収Salary 750万円～1200万円
条件・待遇Condition Employment Type
・Full-time

Working Hours
・Flexible working hours (7.5 hours of actual work per day, including 1-hour break)
・Core hours: 11:00 AM – 4:30 PM

Holidays and Leave
・Complete two-day weekend (Saturday and Sunday)
・Public holidays
・Summer vacation (5 days between July and September)
・Year-end and New Year holidays (December 28 – January 4)
・Annual paid leave (granted from the date of joining, additional days based on previous employment experience, according to company policy)
・Bereavement leave
・Other leave types

Probation Period
・Yes (3 months)

Benefits
・Full social insurance coverage
・Transportation expenses fully covered (according to company policy)
・Certification allowance (for IPA certifications, Google certifications, etc.)
選考についてProcess Selection Process
・Document screening → 2–4 rounds of interviews → Job offer
・Interviews can be conducted online.
・Final interview is preferably conducted in person.
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