¥9,000,000 - ¥12,000,000 per year, 年収900 ～ 1,200万円
社名社名非公開職種データサイエンティスト業務内容Key ResponsibilitiesThe team is seeking a self-motivated and highly organized person with excellent analytical and technical skills to support business needs for data. This involves the implementation of an EDM (enterprise data management) solution and support of systems under the purview of the GDSS department. The role includes the following:Support the design and development of the EDM solution by reviewing the existing internal
社名社名非公開職種データサイエンティスト業務内容Key ResponsibilitiesThe team is seeking a self-motivated and highly organized person with excellent analytical and technical skills to support business needs for data. This involves the implementation of an EDM (enterprise data management) solution and support of systems under the purview of the GDSS department. The role includes the following:Support the design and development of the EDM solution by reviewing the existing internal
¥8,000,000 - ¥40,000,000 per year, 年収800 ～ 4,000万円
社名社名非公開職種データベースエンジニア業務内容【WHO YOU'LL WORK WITH】You will be based in Tokyo and will be part of a global data engineering community and you will work in cross-functional and Agile project teams alongside project managers, data scientists, machine learning engineers, other data engineers, and industry experts.You will work hands in hands with our clients, from data owners and users to C-level executives.【WHAT YOU'LL DO】・Partner with our clients, from data owne
社名社名非公開職種データベースエンジニア業務内容【WHO YOU'LL WORK WITH】You will be based in Tokyo and will be part of a global data engineering community and you will work in cross-functional and Agile project teams alongside project managers, data scientists, machine learning engineers, other data engineers, and industry experts.You will work hands in hands with our clients, from data owners and users to C-level executives.【WHAT YOU'LL DO】・Partner with our clients, from data owne
社名社名非公開職種データサイエンティスト業務内容A diverse team of over 238 members from more than 42 countries.Exciting work in a rapidly growing organization.Cross-departmental collaboration opportunities / Flexible hybrid work.求められる経験■Requirements・Bachelor's degree in Accounting or Finance・Minimum 3 years of experience in accounting・Strong understanding of accounting principles and practices・Proficiency in accounting software (e.g., QuickBooks)・Excellent analytical and problem-
社名社名非公開職種データサイエンティスト業務内容A diverse team of over 238 members from more than 42 countries.Exciting work in a rapidly growing organization.Cross-departmental collaboration opportunities / Flexible hybrid work.求められる経験■Requirements・Bachelor's degree in Accounting or Finance・Minimum 3 years of experience in accounting・Strong understanding of accounting principles and practices・Proficiency in accounting software (e.g., QuickBooks)・Excellent analytical and problem-
¥10,000,000 - ¥15,000,000 per year, 年収1,000 ～ 1,500万円
社名社名非公開職種ITプロジェクトマネージャー業務内容Architecture & InfrastructurePlatform Design: Architect and implement scalable, production-grade data platform components using AWS, Databricks, and modern data stack patterns.IaC Management: Develop and maintain Infrastructure as Code (IaC) to ensure environment standardization, reproducibility, and automation.Data Engineering & OperationsPipeline Leadership: Lead the development of critical data pipelines, ensuring they adhere
社名社名非公開職種ITプロジェクトマネージャー業務内容Architecture & InfrastructurePlatform Design: Architect and implement scalable, production-grade data platform components using AWS, Databricks, and modern data stack patterns.IaC Management: Develop and maintain Infrastructure as Code (IaC) to ensure environment standardization, reproducibility, and automation.Data Engineering & OperationsPipeline Leadership: Lead the development of critical data pipelines, ensuring they adhere
社名社名非公開職種アクセス解析、統計解析、データ分析、データアナリスト業務内容・Full flex and hybrid working style (2-3 days/week WFH)・10~15 hours of monthly overtime・Use both Japanese and English at work求められる経験・Core Data Engineering Expertise: At least 3+ years of professional experience in data engineering or enterprise data infrastructure, with hands-on experience in designing and implementing data pipelines (ETL/ELT).・Cloud and Data Modeling Proficiency: Experience utilizing cloud-based data
社名社名非公開職種アクセス解析、統計解析、データ分析、データアナリスト業務内容・Full flex and hybrid working style (2-3 days/week WFH)・10~15 hours of monthly overtime・Use both Japanese and English at work求められる経験・Core Data Engineering Expertise: At least 3+ years of professional experience in data engineering or enterprise data infrastructure, with hands-on experience in designing and implementing data pipelines (ETL/ELT).・Cloud and Data Modeling Proficiency: Experience utilizing cloud-based data
¥6,000,000 - ¥10,000,000 per year, 年収600 ～ 1,000万円
社名社名非公開職種アクセス解析、統計解析、データ分析、データアナリスト業務内容・Build and optimize ELT/ETL pipelines using Azure Data Factory and Databricks, focusing on scheduling, cost management, and performance.・Design data models and semantic layers for Power BI/AI while maintaining data lineage and governance standards.・Manage data integration from SAP and other sources, ensuring quality through rigorous validation and reconciliation.・Maintain system reliability through robust observabilit
社名社名非公開職種アクセス解析、統計解析、データ分析、データアナリスト業務内容・Build and optimize ELT/ETL pipelines using Azure Data Factory and Databricks, focusing on scheduling, cost management, and performance.・Design data models and semantic layers for Power BI/AI while maintaining data lineage and governance standards.・Manage data integration from SAP and other sources, ensuring quality through rigorous validation and reconciliation.・Maintain system reliability through robust observabilit
社名社名非公開職種データベースエンジニア業務内容■OverviewA global Automotive manufacturing company is hiring a Data Engineer to support the development and operation of a cloud-based data platform. This role is highly hands-on, focusing on building and maintaining reliable data pipelines for business analytics.■Key Responsibilities- Develop, test, and maintain ETL/data pipelines- Work with Python, SQL, and ETL tools to process and transform data- Manage data workflows, job schedu
社名社名非公開職種データベースエンジニア業務内容■OverviewA global Automotive manufacturing company is hiring a Data Engineer to support the development and operation of a cloud-based data platform. This role is highly hands-on, focusing on building and maintaining reliable data pipelines for business analytics.■Key Responsibilities- Develop, test, and maintain ETL/data pipelines- Work with Python, SQL, and ETL tools to process and transform data- Manage data workflows, job schedu
¥10,000,000 - ¥13,000,000 per year, 年収1,000 ～ 1,300万円
社名社名非公開職種アクセス解析、統計解析、データ分析、データアナリスト業務内容・Strong ML Data Engineering Experience5+ years in data engineering, including 2+ years supporting ML workflows, with proven experience building scalable solutions for model development and deployment.・Expertise in Modern Data PlatformsHands-on experience with Databricks, Snowflake, Python, PySpark, and advanced SQL for developing and optimizing data pipelines and feature engineering processes.・MLOps and DevOps Profici
社名社名非公開職種アクセス解析、統計解析、データ分析、データアナリスト業務内容・Strong ML Data Engineering Experience5+ years in data engineering, including 2+ years supporting ML workflows, with proven experience building scalable solutions for model development and deployment.・Expertise in Modern Data PlatformsHands-on experience with Databricks, Snowflake, Python, PySpark, and advanced SQL for developing and optimizing data pipelines and feature engineering processes.・MLOps and DevOps Profici