ROYAL AGENT株式会社
【Big Data × Generative AI / Hybrid Work Available】Data Engineer|¥7M–¥13M|
1仕事内容
■Data Engineer | Big Data & Generative AI StartupSalary: JPY 7,000,000–13,000,000Location: JapanWork Style: Flexible hybrid — choose office or remote work each dayLanguage: Business-level Japanese requiredVisa Support: Available A university-born technology startup is looking for Data Engineers to build data platforms and products using large-scale alternative data.The company works with unique datasets such as credit card transactions, POS data, location data, job posting data, and commercial real estate data. These datasets are used to support business and policy decision-making across industries including finance, real estate, HR, enterprise DX, and the public sector. This is an opportunity to work not only on internal data infrastructure, but also on customer-facing analytics products, enterprise data platforms, and generative AI solutions. ■What You Will Work OnAs a Data Engineer, you will work with mission-critical data that directly powers the company’s products and client solutions.Depending on your experience and career interests, you may be involved in:Designing, building, testing, and operating scalable data platformsDeveloping and operating data pipelines for in-house SaaS analytics productsProcessing large-scale alternative datasets, including payment, POS, location, and labor market dataBuilding data platforms and analytics environments for enterprise clientsSupporting generative AI and data utilization projectsImproving data quality, reliability, monitoring, and operational efficiencyCollaborating with product managers, consultants, analysts, and engineersYour team and project assignment will be discussed based on your experience, strengths, and future career goals. ■Products & Business AreasThe company develops data products and solutions including:Alternative data analytics for institutional investorsConsumer spending indices based on payment dataDaily price indices using POS dataLabor market indicators based on job posting dataCommercial real estate data and DX solutionsEnterprise data platform and generative AI solutionsAnalytics and AI solutions for local governments and public institutions ■Technical EnvironmentLanguages: Python, SQLData Platforms: Snowflake, Amazon RedshiftData Engineering: dbt, AirflowCloud & Infrastructure: AWS, Google Cloud, Azure, Terraform, DockerOther Technologies: Vue.js, React, OpenAI APIsTechnology choices may vary depending on the product or client project. ■Requirements・RequiredExperience developing and operating systems as part of a teamHands-on experience developing and operating applications or data systems using PythonExperience building and operating data analytics platformsExperience developing and operating cloud infrastructureExperience using Infrastructure as Code tools such as TerraformExperience working with container technologies such as DockerBusiness-level Japanese communication skills・PreferredExperience communicating directly with clients or business stakeholdersExperience with ETL or ELT tools such as dbt, Dataform, or AWS GlueExperience with workflow orchestration tools such as Apache AirflowKnowledge of data management frameworks such as DMBOKExperience leading, mentoring, or supporting engineering team members・Why Join?Work with large-scale, high-value datasets that are difficult to access elsewhereBuild both internal data products and enterprise-facing data platformsGain exposure to data engineering, analytics SaaS, and generative AI projectsContribute to decision-making across finance, real estate, HR, and the public sectorChoose projects and teams based on your experience and career interestsWork in a flexible hybrid environment with strong support for continuous learning ■Work Environment & BenefitsWork StyleFlexible hybrid work, with office or remote work selectable each dayFlexible working hoursChildcare support, including childcare time allowancesCompensation & BenefitsFull social insurance coverageTransportation allowance of up to JPY 150,000 per mon
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