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Data Engineer _Fully Remote

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Data Engineer _Fully Remote

BLOOMTECH, Inc

Data Engineer _Fully Remote

Skills

SnowflakeData AnalysisMachine LearningAI

18 days ago

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Important information


Contract type:

Permanent

Location:

Japan

Work mode:

Remote

Published on:

3 October 2026

What they need


※English is written below※

≪ハイライト≫

・年収:600万円〜1,080万円

・勤務形態:フルリモート(日本全国どこでも可)・フルフレックス(コアタイムなし)

✓累計2,000社以上が導入するプロダクト群を支える、横断的なデータ基盤の立ち上げに参画。

✓開発責任者直下で、技術選定から設計まで大きな裁量を持って取り組める環境。

■企業概要

採用領域の課題をテクノロジーで解決する、注目のHR Techスタートアップです。採用管理システムを主軸に、AIを活用したスカウト支援など複数のSaaSプロダクトを展開しています。

■勤務地

東京都(フルリモート導入済み/日本国内であれば居住地不問)

■ポジション

データエンジニア / 分析基盤エンジニア

■募集の背景

事業拡大に伴い、各プロダクトに散らばるデータの統合と共通マスタ化が急務となっています。分析用途に留まらず、将来的なAI活用を見据えた「プロダクトとしてのデータ基盤」を構築するため、専任メンバーを募集します。

■職務内容

・プロダクト横断で利用されるデータ基盤の設計・構築・運用

・各プロダクトへのデータ配信・同期フローの改善(安定性・速度向上)

・求人データを中心とした共通マスタ設計およびデータ定義

・将来的な機械学習活用を見据えたデータガバナンスの策定

■必須要件

・BigQuery, Redshift, SnowflakeなどのクラウドDWHを用いた実務経験

・強いオーナーシップを持ち、自走して課題解決を推進できる能力

・ビジネスレベルの日本語力(他部署との円滑な連携が必要なため)


≪Job Highlights≫

- Salary: 6,000,000 JPY - 10,800,000 JPY

- Work Style: Fully Remote (Anywhere in Japan) / Full Flextime (No core time)

✓ Build a cross-product data platform from the ground up at a growth-stage HR Tech startup.

✓ High-impact role reporting directly to the Head of Engineering with significant technical autonomy.

Why this role?

Join at the launch phase of a cross-product data infrastructure. You will solve complex data synchronization challenges and design a foundation for future AI and machine learning integration across multiple HR SaaS products.

Company:

A high-growth HR Tech startup providing multi-product SaaS solutions (ATS, talent pools, etc.) to over 2,000 companies. They focus on data-driven recruitment optimization and sustainable work cultures.

Role:

Data Engineer / Analytics Infrastructure Engineer

What you will do:

  • Design, build, and operate a cross-product data infrastructure.

  • Optimize data synchronization and delivery flows across multiple services.

  • Define common master data and ensure high data quality/governance.

  • Develop infrastructure for future AI/ML and advanced data analytics.

What you need:

  • Professional experience with Cloud DWH (BigQuery, Snowflake, or Redshift).

  • Strong ownership and the ability to drive complex technical projects independently.

  • Business-level Japanese for cross-functional collaboration with product and business teams.

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