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about 2 months ago
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Keedian (formerly Tutenlabs) is transforming how buildings operate — combining technology implementation, AI-powered optimization, and managed services to help multi-site organizations reduce costs, lower emissions, and move from reactive operations to predictive performance.Our vision is clear: a future where buildings run autonomously, so our clients can focus on what matters most.🌎 100% remote — we prioritize candidates based in Mexico, Colombia, and Argentina.What this role is aboutWe’re looking for a Senior Data Engineer to help build and scale Keedian’s data and intelligence platform.This role will be key in transforming large-scale operational, IoT, and telemetry data into dashboards, reporting, business metrics, and future AI-driven optimization capabilities.You’ll own data domains end-to-end: ingestion, modeling, quality, architecture, and visualization. You’ll work closely with Engineering, Product, Operations, and Customer Success to build scalable data products with direct business impact.This is an ideal opportunity for someone who enjoys building from scratch, making important technical decisions, and solving complex operational data challenges.ResponsibilitiesDesign, build, and evolve Keedian’s analytical platform and multi-tenant data lake architectureBuild and maintain scalable ingestion pipelines from operational systems, APIs, IoT devices, and telemetry sourcesDevelop and own analytical models, semantic layers, dashboards, and operational reportingEnsure data quality, lineage, observability, freshness, scalability, and reliability across the platformCollaborate with Engineering and Product teams to ensure systems and events are analytics-readyBuild the data foundation for predictive maintenance, operational intelligence, anomaly detection, and AI-driven optimizationHelp define and measure customer impact through ROI, savings, and operational performance metricsContribute to architecture decisions, documentation, governance, and evolution of Keedian’s modern data stackRequirementsExperience5+ years of experience in Data Engineering or Analytics EngineeringExperience building data platforms end-to-endExperience working with telemetry, time-series, or large-scale operational dataExperience with cloud architectures and multi-tenant environmentsBonus: experience in IoT, energy, smart buildings, HVAC, or BAS industriesTechnical SkillsAdvanced SQLPython for data engineeringAWS and modern data lake/lakehouse architecturesdbt or similar transformation/modeling toolsWorkflow orchestration and pipeline managementStreaming and large-scale data processingData quality, observability, and Infrastructure as CodeLanguagesAdvanced EnglishAdvanced SpanishBenefits💻 100% remote⏰ Flexible schedule🍰 Birthday day off😁 Reduced hours on Fridays🌴 Unlimited vacations💊 Sick leave days🏠 Moving day off🎓 Support for studies, training, and language learning👥 Referral programIf you’re excited about building the data foundation behind autonomous operations, large-scale analytics, and AI-driven optimization — we’d love to meet you. 💙
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