Senior Data Engineer

About SensorFlow: 

SensorFlow is a hospitality-first technology company helping hotels reduce energy waste, improve operations, and make better decisions with real data.  We help hotels reduce HVAC energy costs by 20–40% while maintaining guest comfort. We work with leading hospitality groups, including Accor, The Ascott, Shangri-La, Hilton, Marriott, and Hyatt across Asia Pacific, the Middle East, and beyond. We design everything specifically for hotels, recognising that no two properties operate the same. By combining automation with actionable data, we help teams move from guesswork to clear, confident decision-making. 

At SensorFlow, we value ownership, clarity, and continuous improvement. We work collaboratively, challenge ideas directly, and stay focused on delivering real outcomes for our customers.

If you want to work on meaningful problems in hospitality and sustainability, and be part of a team building with purpose and speed, we would love to hear from you.

Responsibilities:

• Design, build, and maintain scalable data pipelines for real-time and historical data processing.
• Set up and optimize databases, data warehouses, and ETL processes to manage large-scale time-series data from sensors (energy consumption, temperature, humidity, occupancy) and external sources (weather, utility data).
• Experience in handling and processing large data input volumes (1000s of rows per second)
• Collaborate across Product, Customer Success, Installation, and Tech Support to align data architecture with business needs and ensure data quality.
• Implement monitoring and logging systems to ensure pipeline reliability and quickly troubleshoot issues.
• Work with data scientists to streamline data access, facilitate experimentation, and support predictive model deployment.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience as a Data Engineer, with a proven track record in building and scaling data infrastructure.
• Experience managing time-series data is a must.
• Expert knowledge in SQL (Postgres), PL/pgSQL, DBT.
• Ability to read and optimize query plans
• Strong skills in data pipeline and ETL design, with experience in tools like Metaflow, Airflow, and TimescaleDB.
• Proficiency in Python, and familiarity with data manipulation frameworks.
• Familiarity with data warehousing principles
• Strong problem-solving skills and a proactive, fast-learning mindset.

Working at SensorFlow:

At SensorFlow, we’re made up of dreamers, achievers, and visionaries whose passion and belief in a greater cause drive us to do more and push the boundaries of innovation every day. If you want to work with fun-loving and diverse personalities in an environment that prioritizes your learning, development, and autonomy, then SensorFlow is the perfect place for you.