【Full Remote】Bilingual Data Engineer【大手プライム上場】

Job Description One of our top clients, a well-established Japanese company listed on the Tokyo Stock Exchange, is currently looking for a Data Engineer to join their growing Data Center of Excellence (CoE) team. Originally known for its strong foundation in consumer digital services, the company has successfully expanded into high-impact domains such as Healthcare and Education (DX), driving real societal change through technology. With a stable business base and a strong focus on innovation, they are now investing heavily in building scalable data platforms to support analytics, machine learning, and data-driven decision-making across the organization. This is a great opportunity to work in a highly collaborative and international environment, partnering closely with data scientists, analysts, and engineers to design and build reliable, scalable data pipelines and modern data infrastructure. You will play a key role in shaping the company’s data architecture and contributing to a fast-growing, high-impact data organization. About the Role We are looking for a Data Engineer responsible for building and operating data platforms that support analytics, machine learning, and cross-functional decision-making across the organization. In this role, you will collaborate closely with data scientists, analysts, and engineers to design and deliver reliable datasets and scalable data pipelines. You will also be expected to contribute as a key member of a growing Data Center of Excellence (CoE) team. Responsibilities Data Architecture & Pipeline Development Design, build, and operate data pipelines that enable reliable ingestion, transformation, and delivery of structured and semi-structured data Ensure pipeline efficiency, observability, and maintainability, including proper error handling and monitoring Develop scalable ETL/ELT workflows to support analytics and product use cases Data Integration & CoE Activities Integrate data from multiple systems to create consistent, well-structured, and well-documented datasets Contribute to standardized metric definitions, common schemas, and data consistency frameworks Improve data discoverability and usability through documentation, data dictionaries, and data catalogs Promote best practices in data governance and high-quality, reproducible data operations Analytics Support Collaborate with data scientists and analysts to provide datasets optimized for analysis, modeling, and dashboarding Understand stakeholder analytical needs and design data models that support exploration, experimentation, and performance analysis Contribute to initiatives that improve data consistency, accessibility, and analytical efficiency Requirements Must-have Skills Advanced SQL skills and experience with large-scale data warehouses (e.g., BigQuery, Snowflake, Redshift) Experience building data pipelines, data transformation, and automation using languages such as Python Experience with ETL/ELT frameworks, orchestration tools, and workflow scheduling Strong understanding of data modeling (e.g., star schema, normalization, partitioning) Ability to work autonomously, validate assumptions, propose improvements, and drive technical solutions Strong communication skills to collaborate with engineering and analytics teams Preferred Skills Experience with CI/CD, version control, and Infrastructure as Code Knowledge of data quality frameworks, validation techniques, and metadata management Experience contributing to Data CoE initiatives (e.g., semantic layers, tracking infrastructure, unified reporting systems) Experience building data platforms to support LLM applications (e.g., preparing datasets for RAG, evaluating model outputs, building deployment pipelines) Language Requirements English: Ability to use English as the primary working language and independently participate in technical discussions and complex problem-solving with multinational teams (native level not required, but high fluency expected) Japanese: Business-level proficiency, with the ability to communicate effectively with domestic stakeholders, explain technical concepts clearly, and facilitate smooth alignment Benefits Benefits Employment Type: Full-time Working Hours: Flextime system (no core time) Work Style: Fully remote Salary and Conditions: Up to 7 million yen