Job Responsibilities:
- Conduct data analysis and generate performance reports for estate sub-systems.
- Develop data processes workglows and analytics programs.
- Build Machine Learning algorithms and apply statistical methods to extract insights for Smart Estate applications.
- Extract data from existing Building Management Systems using BACnet and Modbus protocol.
- Design and implement ETL pipelines to transform raw data into analysis-ready formats.
- Maintain and enhance data aggregation and ingestion processes using .NET and Python.
- Identify ways to improve data reliability, efficiency and quality.
- Ensure compliance with project requirements, performance standards, and specifications.
- Perform quality control and regularly report on project status.
- Collaborate with Product Development and Operation team to support succesful implementation.
Job Requirements
- Bachelor’s Degree or equivalent in Electrical/Electronic Engineering or Computing Engineering, Information Technology or related field.
- Minimum 1 year of work experience in data engineering across diverse projects.
- Proficient in Python, MSSQL and PostgreSQL programming.
- Strong knowledge of data science and data management.
- Knowledge in BMS communication protocols (BACnet and Modbus) is a plus.
- Experience with Data Management and ETL process is preferred.
- Strong logical and analytic skills.
- Able to work independently and efficiently in a fast-paced environment.