{"id":2891893,"url":"https://alion.io/job/rakuten-data-engineer-bi-insights-group-data-platform-department-dpd","title":"Data Engineer - BI Insights Group, Data Platform Department (DPD)","company":{"id":448445,"name":"Rakuten","domain":"rakuten.co.jp","url":"https://alion.io/company/rakuten-5","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":64,"ghost_share":0,"stale_share":0.359,"repost_share":0,"time_to_fill_p50_days":70,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tokyo, Japan"],"countries":["JP"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":83000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Bitbucket","optional":false},{"name":"Confluence","optional":false},{"name":"Domo","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Jira","optional":false},{"name":"Linux","optional":false},{"name":"MicroStrategy","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-20T02:59:50Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-11-02T10:10:11Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"Job Description:\nDepartment Overview\nThe Data Platform Department (DPD) at Rakuten Group develops and maintains a comprehensive data platform, empowering over 70 Rakuten services with solutions for data ingestion, discovery, governance, analytics, and querying. We support data-driven decision-making across one of Japan's largest data ecosystems, providing the tools and infrastructure to support key domains such as Data Lakes, Data Warehouses, and Business Intelligence.\nPosition:\nPosition Details\n\n・Hands-on design, development, testing, and implementation of scalable, cloud-based data warehouse solutions, optimized data pipelines, and robust data modeling\n・Maintain a healthy data warehouse ecosystem through comprehensive infrastructure management (system logs, storage, compute resources, batch scheduling, etc.), ensuring seamless data integration and proactively addressing performance bottlenecks\n・Internal Tooling: Adapt to and utilize Rakuten’s internal data pipeline orchestration framework, built on top of GCP-managed Airflow\n・Communication: Collaborate with cross-functional teams to identify data requirements and align them with business objectives\n・Documentation: Maintain comprehensive documentation, including platform architecture, data dictionaries, infrastructure configurations, operational processes and so on\n\n・ Collaborate with Stakeholders: Work closely with end-users to understand requirements, gather feedback, and deliver impactful, customized reports\n・ Solution Design: Propose and present visualization solutions to relevant stakeholders\n・ Data Modeling & Mart Design: Architect reporting-specific data marts to ensure high-performance dashboards\n・ Data Pipeline Management: Develop, maintain, and optimize pipelines, including DAG scheduling, data ingestion, and ETL/ELT processes to ensure data is \"collected from\" and \"delivered to\" efficiently and reliably\n・ Data Quality Assurance: Validate and ensure the accuracy, consistency, and reliability of all data used in visualizations\n・ Frontend Development: Design, build, and manage interactive reports using modern data visualization tools.\nMandatory Qualifications:\n・ B.S. in Computer Science, or a related field, or equivalent education and experience\n・ 3+ years of end-to-end experience in data engineering (SQL) and operational experience in cloud-based or Linux systems\n・ Experience in developing and building robust data warehouse ecosystems using Google Cloud Platform (GCP - BQ, GCS), Python, and shell scripting\n・ Understanding of data warehouse/big data concepts, data modeling, batch-processing pipelines (ETL), and data integration techniques for managing large volumes of data\n・ Hands-on experience creating and leveraging data visualization platforms (e.g., DOMO, Tableau, MicroStrategy, PowerBI, etc.)\n・ Experience with Git\nDesired Qualifications:\n\n・Experience with Atlassian tools (Confluence, Jira, BitBucket)\n・Experience working on streaming data pipelines using tools such as Airflow, Apache Kafka, or Spark Streaming\n・Experience managing systems with high Service Level Objectives/Agreements (SLOs/SLAs)\n\n・ Effective communication and project management skills\n・ Quick learner, highly adaptable, and committed to continuous learning\n・ Strong problem-solving and solution-creation mindset\n・ Detail-oriented and driven by excellence\n・ A \"Can-Do\" attitude and willingness to embrace new challenges\n・ Strong teamwork and collaboration capabilities\n#engineer #DataEngineer #technologyplatformdiv","description_format":"text","description_chars":3500,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"Japanese","level":"Advanced (C1)","optional":false}]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["E-commerce Platforms","Marketplaces","Financial Software & Embedded Finance"],"lifecycle":[{"event":"open","at":"2026-10-20T02:59:50Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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