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Database Engineer 1More

8M JPY - ***M JPY

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Tokyo

Full-time (permanent)

Online Interview: Yes

Remote Work from Overseas: No / Remote Work in Japan: Yes

Top-Selling Points

Rate of Foreigners

Less Than

Frequency of English Usage

Less Than

Remote work Flex-time Short overtime work (less than 20 hours) Japanese learning support New business Use English Stock Option provided New office Start-up

Related Skills

Programming Language

Python

Experienced area / job

Natural Language Processing Machine Learning

Cloud / Infrastructure / DevOps tools

AWS Google Cloud Azure Terraform Docker

Library/Framework

React

Database

MySQL

Language Requirements

Required

Preferred

Job Description

■Business Overview
A startup originating from the University of Tokyo that supports digital transformation (DX) and data utilization for major enterprises through the use of big data and generative AI. The company promotes smoother decision-making in society by leveraging alternative data such as credit card transactions, POS data, and location data, offering decision support, building data infrastructure, and developing generative AI.


■Background
Since its founding, Nowcast has grown through alternative data utilization and the construction of data platforms.
In 2024, new business areas such as real estate DX and generative AI integration were launched.
Data engineers serve a vital role in both internal and external product development, processing, and analysis.
With over half of the employees being data engineers, they are the core driving force behind Nowcast’s continued business expansion.


■Job Description
This position involves participating in a broad range of data-related tasks as a data engineer.
Opportunities include infrastructure development, data analysis, SaaS product development, and generative AI integration.
Team placement is determined in consultation with the candidate based on experience and preferences.


■Key Responsibilities
・Design, build, test, and operate data infrastructure
・Design and maintain data pipelines for in-house SaaS analytics services
・Provide support for generative AI implementation for clients

Project Examples:
・Development of internal generative AI apps at Nissay Asset Management
・Assessment and optimization of proprietary analytics platforms (e.g., Mitsubishi Estate Co., Ltd.)
・Certified as a Snowflake "Select" service partner

＜Tech Stack＞
Python, Vite, React, Airflow, Snowflake, AWS, Terraform, Docker, MySQL (Aurora), GCP, Azure, OpenAI

＜Languages＞
Japanese is required for internal communication. English may be used depending on the project.


■Position Highlights
・Exposure to modern tech stack such as Snowflake and dbt
・Opportunities to work across different domains such as data analysis, AI, web development, and infrastructure
・End-to-end involvement from data collection to application development
・Career paths in roles such as Product Manager, Tech Lead, VPoE, and Analytics Engineer
・Opportunity to contribute across various industries in both design and implementation


■Team Environment
A data-centric organization where data professionals are central to the business.
Roughly 60% of staff are data engineers, LLM engineers, or analytics engineers.
Engineers often take leadership roles such as Product Manager or Tech Lead, creating a rich environment for career growth.

Example Members:
・Kosaku Ohno: POS data pipeline lead, Kaggle Competition Master, cloud infrastructure expert (AWS/Snowflake)
・Koki Muguruma: Former Accenture and Forcia, experienced in full-stack and analytics platform development
・Tsubasa Oshiro: Former game dev and director, now handling POS/credit card data pipelines

＜Team Diversity＞
Team includes members from India, Taiwan, Austria, the Netherlands, Canada, China, and more.


■Services Offered by Nowcast
・AlternaData: Analysis services for institutional investors using POS and credit card data
・JCB Consumption NOW: Consumer trend indices based on JCB card data
・Nikkei CPINow: Daily inflation index using Nikkei POS data
・HRog Wage Now: Recruitment wage and job count indices from job ad data
・DX support services for commercial real estate
・Data & generative AI-based DX solution services

Required Skills and Experiences

■Required Skills Data Engineering: ・Experience in team-based system development and operation ・Experience in development and operations using Python ・Experience in cloud infrastructure development and maintenance ・Experience in building and operating data analytics platforms Infrastructure Management: ・Experience building and managing cloud resources using Terraform or similar IaC tools ・Experience in container-based development using Docker ■Preferred Skills ・Experience in client communication ・Experience with ETL tools such as dbt, Dataform, or Glue ・Experience with workflow orchestration tools such as Airflow ・Experience with data management concepts like DMBOK ・Experience in team management ■Ideal Candidate Profile ・Strong customer focus in development ・Ownership mindset toward product growth ・Ability to drive collaboration and progress with others ・Curiosity and enthusiasm for continuous learning ・Attention to detail and persistence in tackling complex tasks

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Working Condition

Probation period
・3 months.

Work Locatio
・9F, Sumitomo Fudosan Kudan Bldg., 1-8-10 Kudan-kita, Chiyoda-ku, Tokyo

Standard Working Hours
・10:00 AM – 7:00 PM

Working Hours Classification
・Discretionary labor system for professional work
Note: Fixed hours may apply depending on the position
・Deemed working hours: 8 hours/day
・Break: 60 minutes
・Overtime: Yes

Compensation
・Salary type: Monthly
・Base salary: From ¥517,666~¥970,700/month
・Fixed overtime pay: From ¥149,000~¥186,333/month (40 hours included)
　Additional pay for overtime beyond 40 hours
・Monthly salary: From ¥666,666~¥833,333 (includes fixed allowances)
・Salary raise: Yes
・Overtime allowance: Yes

Holidays and Leave
・Full 5-day workweek (Sat, Sun, and national holidays off)
・Paid leave, 5-day consecutive leave, year-end/new year holidays, condolence leave
Paid leave is granted from the date of joining

Stock Options
Stock options with an exercise price of ¥1

Work Style
・Hybrid work: office and remote can be combined flexibly (e.g., office in the morning, remote in the afternoon)
・Working hours can be adjusted to fit your lifestyle (e.g., childcare pickups)
Note: Fixed hours may apply depending on the position

Life Support
・Marriage leave & bonus: 7 days paid leave + ¥50,000 gift (after 1 year of employment)
・Childbirth leave & bonus: 5 days paid leave + ¥500,000 per child
　Includes full coverage of maternity insurance premiums during pregnancy
・Condolence support: 3–7 days paid leave for bereavement
・Consecutive leave: Additional 5-day paid leave (after 1 year of employment)
・Childcare allowance: ¥25,000/month per child (up to ¥100,000) for preschool-aged children (after 1 year)
・Babysitter discount: Up to ¥4,400/day covered by the company
・Sick child care: Corporate sick childcare plan “Chocoiku” available with no cost
・Housing allowance: ¥50,000/month if living within 3 km of the office and commuting 4+ days/week
　One-time ¥200,000 moving allowance for relocating from outside the 3 km zone (for full-time heads of households only)

Learning Support
・¥120,000/year per person for study tools and courses
・Up to ¥20,000/person per Hackathon, contest, or offsite participation
・Weekly English lessons available (subject to eligibility)
・Tuition support: Up to ¥2 million per person for graduate studies (requires internal approval)


Other Benefits
・Full social insurance coverage
・Commuting allowance (up to ¥150,000/month)
・Visa support
・No smoking indoors
・AI-driven work efficiency initiatives
　We promote company-wide use of generative AI for boosting productivity and sharing knowledge.
　Includes customized LLM environments (ChatGPT, Gemini, Claude, Llama), meeting summarization, and document organization.
　We also use tools like Cursor, GitHub Copilot, and are testing AI coding agent Devin.

RECRUITMENT PROCESS

・ Document screening
check the degree of match in terms of skill / achievement
・ 1st interview
with several data engineers
・ 2nd interview
with the Nowcast CEO
・ Skill test
Data analysis task using Jupyter notebook
・Whiteboard Test
Discussion-based test using a whiteboard to explain the data pipeline construction/operation projects
・ Final interview
with the CEO of Finatext Holdings
Note:
The selection process can be shortened or combined depending on the situation.
If the candidate has a tight schedule, please feel free to consult with us.

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