Job description
Role overview
Next Sense is seeking a Senior Data Engineer to drive innovation in commercial real estate sustainability. Using advanced data analytics and simulation platforms, this role will help global clients reduce energy consumption by 50% and align with ESG benchmarks.
The ideal candidate will design and optimize data pipelines to support climate-neutral building strategies, working directly with enterprise clients like Microsoft, CHANEL, and Amazon. This position requires collaboration across technical and business teams to deliver multi-year investment strategies through data-driven insights.
Responsibilities
- Design and implement scalable data infrastructure for building performance analysis
- Develop energy consumption simulation models using Python/SQL
- Collaborate with cross-functional teams to translate business needs into data solutions
- Optimize data pipelines for ESG benchmarking and reporting
- Provide technical leadership in data architecture decisions
Requirements
- 4+ years of data engineering experience in enterprise environments
- Strong proficiency in Python, SQL, and cloud platforms (AWS/Azure)
- Experience with energy modeling or sustainability data analysis
- Proven track record in designing complex data pipelines
- Understanding of ESG metrics and building performance standards
Benefits
- Work with global clients including Microsoft and Amazon
- Contribute to climate-neutral building solutions with measurable impact
Keywords
Data EngineeringESG ComplianceEnergy SimulationBig DataSustainability AnalyticsCloud ComputingPythonSQLData PipelinesCommercial Real Estate