Data Engineer jobs

クラウド上のデータプラットフォームにおいて、設計・開発・改善をハンズオンでリードするポジションです。

ビジネス要件を理解し、安定性・拡張性・セキュリティを備えたデータ基盤の実現に貢献いただきます。

データエンジニアコンサルタントとして、テクノロジーの顧客向けプロジェクトに参画いただきます。Microsoftテクノロジーを活用したデータプラットフォームの設計・構築を担い、データ活用を通じて企業の課題解決と価値創出を支援します。

AIを活用したADAS（先進運転支援システム）の開発を支えるデータパイプラインの設計・構築・運用を担うポジションです。マルチセンサーデータを活用し、スケーラブルで高品質なAIプラットフォームの実現に貢献いただきます。

企業の経営・事業戦略を支えるデータ活用を推進し、データ戦略策定からデータプラットフォーム設計・実装までを一貫してリードいただきます。クラウド、データ、AI技術を活用し、クライアントの課題解決や事業成長を支援するコンサルティングポジションです。

クラウドネイティブなデータプラットフォームの設計・構築を通じて、自動車業界のデータ活用とリアルタイム意思決定を支えるポジションです。Cloud、Data、AI/ML、GenAIなどの先端技術を活用し、次世代モビリティの実現に貢献いただきます。

This is an exciting opportunity for a skilled Data Engineer to work in the Financial Services industry, focusing on analytics in a permanent role. Based in Tokyo, you will contribute to building and optimizing data systems to support business insights.

Join a global data team responsible for managing critical investment and fund-related data used across multiple business functions and regions. This role combines data operations, ETL monitoring, data quality management, and hands-on SQL support within a collaborative financial services environment.

Join a data-driven engineering team responsible for building and maintaining master data platforms that enable accurate product information management and enhanced search experiences. This role offers end-to-end ownership of data infrastructure, ETL pipelines, and data products while leveraging modern cloud technologies and large-scale data processing frameworks.

Join a high-impact data engineering team building and optimizing scalable cloud-based data pipelines that power advanced analytics and data-driven decision-making. This role focuses on ETL development, data quality assurance, and leveraging modern technologies, including AI and data platforms such as GCP, BigQuery, Spark, and Databricks, to deliver reliable, high-quality insights for business growth.

This role focuses on developing and maintaining Python-based APIs that support large-scale data transfer and orchestration processes across multiple storage and messaging platforms. The position involves working with Django, REST APIs, CI/CD, and DevOps practices to build reliable, high-availability data infrastructure and improve development efficiency.

Join a large-scale digital services and technology organization developing an advanced analytics platform that enables data-driven business decisions. This role offers the opportunity to build scalable data pipelines, improve data quality, and leverage AI-powered tools to enhance engineering productivity and operational excellence.

This role focuses on building and maintaining cost and usage data pipelines that enable financial transparency for a large-scale AI platform. You will collaborate with engineering and business stakeholders to design scalable data models and cost allocation frameworks that drive decision-making.

This role focuses on building and managing cost and usage data pipelines for the Enterprise AI platform, enabling accurate cost allocation, chargeback, and financial visibility across engineering and business teams. The ideal candidate has strong SQL/Python, Snowflake/Databricks, and FinOps experience, with the ability to translate cloud cost and reporting requirements into scalable data solutions.

Join a high-impact data platform team to design and build robust APIs enabling large-scale data movement across distributed systems. You'll help drive reliable, high-availability data orchestration supporting a global digital ecosystem.

This role focuses on building and operating cost and usage data foundations for an enterprise AI platform, enabling financial transparency at scale. You will partner with engineering and business stakeholders to design robust pipelines, models, and APIs that support cost allocation, chargeback, and optimization.

This role blends data engineering and software development to support business-critical analytic platforms within a global financial environment. You will work with large-scale data sets, helping drive data-driven decision-making across international teams.

BtoB向けサービスを展開する企業にて、データ運用とシステムの安定稼働を支えるポジションです。ハイブリッド環境（週2出社）で、運用改善・自動化・パフォーマンス向上に広く携わっていただきます。

本ポジションでは、Informaticaを中心としたETL開発・運用およびクラウド移行プロジェクトをリードします。

複数システムのデータ統合を担い、安定性・拡張性の高いデータ基盤の構築に貢献いただきます。

This role focuses on developing and supporting financial technology systems that process large-scale data, automate workflows, and improve reporting and risk management capabilities across global markets. The position involves full-stack development, collaborating with international teams and business stakeholders to design, implement, and deploy scalable solutions while leveraging modern technologies like cloud, AI, and data processing frameworks

Join a global technology leader as a Data Platform Engineer to build, automate, and operate a scalable, multi-tenant Databricks platform on the cloud that enables enterprise-wide analytics and data-driven innovation. You'll collaborate with cross-functional stakeholders to enhance platform reliability, governance, and self-service capabilities while driving automation and operational excellence across the organization.