13 jobs found for Data Engineer

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データサイエンティスト業務内容International environmentFree Meals in the Office求められる経験Mandatory Skills：- Strong understanding in data engineering, including designing and building data pipelines and data integration solutions.- Strong understanding of SQL and NoSQL databases, data warehousing concepts, and data modeling techniques.- Strong understanding of bigdata/large-scale processing frameworks such as Spark, Kafka, Hadoop- Strong programming experience using

社名社名非公開職種システム開発（Web・オープン・モバイル系）業務内容Full Remote position!求められる経験■ Business-level Japanese language proficiency.■ Proven experience with Python for data processing or backend development.■ Demonstrated experience with data pipelines, ETL, or batch processing.■ Strong proficiency in SQL.■ Ability to independently troubleshoot and resolve production issues.■ Experience with Azure services (e.g., Data Factory) is a plus.■ Familiarity with cloud environments (AW

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サイエンティスト業務内容Hybrid WorkInternational EnvironmentFree Cafeteria求められる経験- 3+ years of software development experience using Python.- Proven experience with public cloud platforms (e.g., Azure, AWS, GCP) and Databricks.- Experience writing production-level, well-documented code.- Familiarity with common machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas).- Experience with CI/CD pipelines.- Exper

社名社名非公開職種通信インフラ設計・構築（キャリア・ISP系）業務内容Established global insurance firm from the US!Hybrid! WFH up to 4 days a week.International culture!求められる経験Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical discipline 3+ years of hands-on experience with Microsoft Azure in a cloud engineering or platform role Practical experience supporting Azure Databricks in production or enterprise environments Strong unde

社名社名非公開職種通信インフラ設計・構築（キャリア・ISP系）業務内容Established global insurance firm from the US!Hybrid! WFH up to 4 days a week.International culture!求められる経験Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical discipline 3+ years of hands-on experience with Microsoft Azure in a cloud engineering or platform role Practical experience supporting Azure Databricks in production or enterprise environments Strong unde

社名社名非公開職種データサイエンティスト業務内容Hybrid WorkInternational EnvironmentFree Cafeteria求められる経験- Bachelor’s degree or higher in Computer Science, Information Systems, or a related field- Experience developing and training AI/ML models using Python- Familiarity with Jupyter Notebook and exploratory data analysis (EDA)- Knowledge of data mining techniques and machine learning algorithms- Solid understanding of SQL and data modeling concepts- Basic command line skills in L

社名社名非公開職種データサイエンティスト業務内容フレックス制、ハイブリッド勤務急成長中のFinTech企業データドリブンな文化の中、会社の成長に直接貢献できます。求められる経験■必須スキル・コンピュータサイエンスや情報工学の学位、またはそれに準ずる実践経験・日本語での会話（ビジネスレベル、JLPT N1以上）・2年以上（シニアなら5年以上） Data Engineerの役割に関連してる開発・運用経験・Python, Kotlin, Scala, Java などのプログラミング言語の経験・DWH構築の経験やプラクティスの理解・DBやSQLの経験やプラクティスの理解・情報収集および業務効率化（ドキュメント作成など）のために、ChatGPT、Geminiまたは類似のテクノロジーを活用した経験■歓迎スキル・BigQuery, CloudSQL, Dataflow, Cloud RunといったGoogle Cloud プロダクトの開発・運用経験・Google Cloud, AWSなどのパブリッククラウドの経験・Dat

社名社名非公開職種データサイエンティスト業務内容WFH flexibility! Up to 4 days/week!Global Environment!Competitive salary!求められる経験Technical RequirementsAzure AI Stack: Hands-on experience with Azure Machine Learning, Azure AI Foundry, and Azure OpenAI Service.• Data Proficiency: Strong understanding of Azure Data Lake Storage (ADLS) and Synapse Analytics. Experience working with Parquet files and large-scale datasets.• Programming: Proficiency in Python (for AI/ML) and familiarity