Japanese - Basic
English - Native
SQL Server
Amazon Web Services
Google Cloud
Senior Data Engineer

Job Description

At CADDi, we have a massive amount of technical drawings, corresponding quotations, along with data describing the required manufacturing processes. By processing these data into a form that is easier to utilize and quickly implementing the cycle of hypothesis testing, we aim to find answers to the problems faced by the manufacturing industry.

Besides what we already have, there is a lot more data out there that hasn’t been fully utilized. Assessing valuable data and preparing it for utilization is the key to taking the burden off this industry.


Design and implementation of data infrastructureManufacturing cost estimation data
Transaction performance data
Manufacturing control process data
Usage data for various products
Analysis of base data to obtain hypotheses concerning business and operational improvement
Build data processing pipelines in cooperation with algorithm designers

Development Environment

Development languageFrontend: HTML, CSS, TypeScript
Backend: TypeScript, Rust, Kotlin
FrameworksFrontend: React, Apollo, Next.js, styled-components, WebGL, WebAssembly
Backend: Rust (tokio, tonic, diesel), Kotlin (Micronaut, Exposed), Node.js (express, NestJS)
Infrastructure: GCP, GKE
Database: PostgreSQL, Firestore
Authentication: Auth0
Development tools: GitHub, CircleCI, Figma, Sentry, DataDog, Storybook
Communication tools: Slack, Discord, JIRA, Miro



An understanding our mission to unleash the potential of manufacturing
Experience using SQL for analysis
General knowledge of Linux-based infrastructure
General knowledge of public cloud services
Familiarity with container technologies such as Docker
Experience using version control systems such as Git
Proficiency in English

Preferred Qualifications

General knowledge of computer networking
Experience operating container-related technologies such as Kubernetes, etc.
Hands-on experience with declarative infrastructure-as-code technologies (terraform, puppet, ansible, etc)
Experience with cloud providers such as AWS, GCP, or Azure
Experience with data pipeline technologies such as Airflow, Apache Beam, Spark, etc.
Experience monitoring data pipelines with modern solutions such as Datadog, New Relic, Grafana, etc
Experience with production use cases of Elasticsearch
Experience in application development or analysis work with Rust, Python, MATLAB, or R

■Years of Experience : 5 years


Job Position Others
Type of Job Full Time
Annual Income -
Location 東京都
Working Time フレックスタイム(コアタイム11:00~16:00) 休憩1時間含む、時間外労働あり
Trial Period Yes

Saturdays, Sundays,
national holidays,
year-end and New Year holidays,
summer vacation,
annual paid leave,
condolence leave,
special leave at the time of joining the company
(paid leave can be taken for up to 3 days even if it is less than half a year after joining the company)

What's on Offer

・ Transportation expenses (up to 30,000 yen)
・ Various vacations (summer vacation, year-end and new year vacation, refreshment vacation, bereavement vacation, etc.)
・ Subsidies (moving subsidy, child allowance, wedding congratulations, etc.)
・ Health examination / gynecology Examination cost burden
・ Office convenience store
・ Learning support (book purchase system, language learning support, manufacturing experience, external training support, etc.)
・ Company-wide commendation
・ Club activities
・ Engineers can apply for PC and display with desired specifications ..
* The upper limit is 400,000 yen, and if it is less than that, you can purchase PC accessories as well.
* PC replacement cycle is 2 years or more.

For overseas candidates
Relocation support is available
Visa support is available
Japanese language educational support is available

Additional Information

Message from co-founder CEO Kato and CTO Kobashi

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Company Information



Company Website

Company Features

Projects in English
In-house Development
Many Foreign Employees