Save Job Back to Search Job Description Summary Similar JobsWork with large-scale data and modern AI technologiesOwn critical analytics pipelines end-to-endAbout Our ClientOur client is a leading global technology and digital services organization with a diverse portfolio spanning e-commerce, fintech, telecommunications, and digital platforms. The company invests heavily in data, analytics, and AI innovation, enabling teams to work with large-scale datasets and cutting-edge cloud technologies that drive business growth and customer insights.Job DescriptionAs a Data Engineer, you will play a key role in designing, developing, and maintaining scalable data infrastructure that supports a sophisticated analytics platform.Key responsibilities include:Design, build, and maintain high-performance ETL and data processing pipelines on cloud platformsEnsure accurate, timely, and reliable delivery of analytics data to internal stakeholdersOwn data quality validation, regression testing, and analytics output verificationMonitor and optimize pipeline performance, reliability, scalability, and cost efficiencyCollaborate closely with software engineering, customer support, and platform reliability teamsTroubleshoot production issues and proactively identify opportunities for improvementContribute to CI/CD processes, workflow automation, and infrastructure enhancementsLeverage generative AI and AI-powered development tools to improve engineering efficiencySupport data governance, monitoring, and operational best practicesParticipate in Scrum-based development and cross-functional planning activitiesThe Successful ApplicantRequired Experience & Skills5+ years of experience developing data pipelines, analytics platforms, or related systemsHands-on experience building, maintaining, and troubleshooting ETL/data pipelines, particularly within cloud environmentsStrong programming and scripting skills using Python, SQL, and shell scriptingUnderstanding of analytics concepts such as sessions, conversion tracking, and user behavior analysisExperience using generative AI tools and AI agents in day-to-day development workflowsStrong problem-solving abilities and a structured approach to executionExcellent communication skills and the ability to collaborate across multiple teamsProven ownership mindset with experience driving initiatives from concept through deliveryAbility to work effectively in distributed and asynchronous environmentsPreferred QualificationsExperience with Google Cloud Platform services such as BigQuery, Spark, or managed data processing solutionsExperience using Databricks or comparable data platformsKnowledge of Spark performance tuning and troubleshootingExperience with workflow orchestration and CI/CD toolsUnderstanding of data modeling and analytics-focused ETL architectureExperience in data quality assurance, regression testing, and validation frameworksBackground in data analytics or data-driven product environmentsTrack record of leveraging AI frameworks and automation tools to improve engineering productivity and data qualityWhat's on OfferOpportunity to work on a large-scale analytics platform used to support critical business decisionsExposure to modern cloud-native data technologies and AI-driven engineering practicesCollaborative and highly skilled engineering environmentOwnership of impactful projects with visible business outcomesContinuous learning opportunities and exposure to emerging data technologiesCross-functional collaboration across engineering, platform, and analytics teamsAgile development environment with a strong culture of innovation and improvementContactSerena WuQuote job refJN-082026-7076597Phone number+81 3 6627 6137Job summaryFunctionITSpecialisationProgramming / DevelopmentSpecialisationTechnology & TelecomsLocationTokyo 23 WardsJob TypeTemporaryConsultant nameSerena WuConsultant phone+81 3 6627 6137Job ReferenceJN-082026-7076597Company TypeForeign Multinational