Data & AI Engineer (Estate Solutions)

What we do matters Azendian Solutions, an AI, Data Science and Operations Technology company, develops solutions for energy and resource optimisation to achieve a smarterand more sustainable Built Environment by reducing carbon footprint, enhancing resource productivity and operations as well as lowering costs. Our AI-driven solution is game changing in its approach, leveraging on Machine Learning, Data Science, Cloud Computing with Operations Technology engineering systems. What you will do Build and maintain data pipelines to process data from building systems and IoT devices Work with real-world engineering data (e.g., equipment performance, energy usage) Support development of analytics and AI models for: Anomaly detection Predictive maintenance Performance optimization Assist in setting up systems and environments for Databases (SQL), basic server setup (Windows/Linux) and running applications using Docker or microservices Use modern tools (including AI-assisted tools) to improve productivity and workflows Collaborate with engineering and product teams to deliver real-world solutions Core Responsibilities . Data Engineering & Pipeline Development . Data Integration (BMS / IoT Systems) . Analytics & AI Enablement . Data Quality & Performance Optimization . Collaboration & Delivery Job Requirements . Bachelor's Degree or equivalent in Electrical/Electronic Engineering or Computing Engineering, Information Technology or related field. . Minimum 1 year of relevant experience in data engineering, software engineering, or engineering systems. . Strong foundation in Python and SQL (MSSQLand/or PostgreSQL). . Familiarity with data processing, ETL pipelines, or data management concepts. . Experience or interest in working with real-world data (e.g., IoT, engineering systems, or operational data). . Knowledge in BMS communication protocols (BACnet and Modbus) is preferred but not required. . Basic familiarity with system setup (e.g databases, Windows/Linux environment, or Docker) is an advantage. . Experience with workflow orchestration tools (e.g., Airflow, Prefect) is a plus. . Exposure to data analytics or machine learning concepts is a plus. . Familiarity with AI-assisted tools or automation tools is an advantage. . Strong logical and analytical skills. . Willingness to learn and work across data systems, and AI domains. . Able to work comfortably and independently in a fast-paced environment.