Senior Data Engineer
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 about
We’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.
Responsibilities
Design, build, and evolve Keedian’s analytical platform and multi-tenant data lake architecture
Build and maintain scalable ingestion pipelines from operational systems, APIs, IoT devices, and telemetry sources
Develop and own analytical models, semantic layers, dashboards, and operational reporting
Ensure data quality, lineage, observability, freshness, scalability, and reliability across the platform
Collaborate with Engineering and Product teams to ensure systems and events are analytics-ready
Build the data foundation for predictive maintenance, operational intelligence, anomaly detection, and AI-driven optimization
Help define and measure customer impact through ROI, savings, and operational performance metrics
Contribute to architecture decisions, documentation, governance, and evolution of Keedian’s modern data stack
Requirements
Experience
5+ years of experience in Data Engineering or Analytics Engineering
Experience building data platforms end-to-end
Experience working with telemetry, time-series, or large-scale operational data
Experience with cloud architectures and multi-tenant environments
Bonus: experience in IoT, energy, smart buildings, HVAC, or BAS industries
Technical Skills
Advanced SQL
Python for data engineering
AWS and modern data lake/lakehouse architectures
dbt or similar transformation/modeling tools
Workflow orchestration and pipeline management
Streaming and large-scale data processing
Data quality, observability, and Infrastructure as Code
Languages
Advanced English
Advanced Spanish
Benefits
💻 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 program
If you’re excited about building the data foundation behind autonomous operations, large-scale analytics, and AI-driven optimization — we’d love to meet you. 💙
Apply To This Job
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 about
We’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.
Responsibilities
Design, build, and evolve Keedian’s analytical platform and multi-tenant data lake architecture
Build and maintain scalable ingestion pipelines from operational systems, APIs, IoT devices, and telemetry sources
Develop and own analytical models, semantic layers, dashboards, and operational reporting
Ensure data quality, lineage, observability, freshness, scalability, and reliability across the platform
Collaborate with Engineering and Product teams to ensure systems and events are analytics-ready
Build the data foundation for predictive maintenance, operational intelligence, anomaly detection, and AI-driven optimization
Help define and measure customer impact through ROI, savings, and operational performance metrics
Contribute to architecture decisions, documentation, governance, and evolution of Keedian’s modern data stack
Requirements
Experience
5+ years of experience in Data Engineering or Analytics Engineering
Experience building data platforms end-to-end
Experience working with telemetry, time-series, or large-scale operational data
Experience with cloud architectures and multi-tenant environments
Bonus: experience in IoT, energy, smart buildings, HVAC, or BAS industries
Technical Skills
Advanced SQL
Python for data engineering
AWS and modern data lake/lakehouse architectures
dbt or similar transformation/modeling tools
Workflow orchestration and pipeline management
Streaming and large-scale data processing
Data quality, observability, and Infrastructure as Code
Languages
Advanced English
Advanced Spanish
Benefits
💻 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 program
If you’re excited about building the data foundation behind autonomous operations, large-scale analytics, and AI-driven optimization — we’d love to meet you. 💙
Apply To This Job