Job Description

We are looking for a highly independent Energy Engineer to join a multicultural team based in Singapore, someone able to analyse Energy System’s performances supported by digital technologies. The position requires good experience and engineering knowledge of ACMV systems, industrial processes, controls, and refrigeration systems. Being able to handle complex projects with multiple stakeholders in a multicultural environment will be expected. We will trust you to

• Analyze the Energy performance of industrial and commercial facilities and engage companies on improving Energy management practices.
• Assist in the implementation and configuration of software technology solutions for end-clients including assistance with applying automatic analytics to energy systems.
• Schedule and perform on-site Energy Assessments, reports & recommendations, presentations.
• Work closely with the Teale Engineers team, external clients and partners, using your expertise and experience to support & build relationships and find opportunities to build our business.
• Assist in business development including pre-sales activities and promotion of company products and services.
• Act in the Short/Medium term as Key Account Manager with a few of our recurring clients in Southeast Asia.

• Strong organizational skills, analytical abilities, problem-solving skills and be able to multi-task
• A desire to learn the use of several different best of breed digital technologies and their implementation for end-users and clients
• Higher education or relevant experience in energy, environment, mechanical or electrical engineering
• The ability to perform independent field work within commercial and industrial facilities
• Solid understanding of data communications and data processing

• A good level of experience in the area of industrial processes, utilities & energy, ideally SCEM (Singapore Certified Energy Manager) with Green Mark experience
• Ability to analyze and quantify energy savings in projects involving chillers, boiler plants, motors, compressors, controls, distributed generation and Renewables (Solar)
• Experience with at least one programming language (Python or SQL experience a benefit);
• Knowledge on controls communication protocols such as BACnet or Modbus
• Experience in the implementation of Energy Management Information Systems or (EMIS) or automated analytics including fault-detection and diagnostics (FDD). Machine Learning Predictive model development is also part of the Company recurrent portfolio
• Knowledge of IPMVP and ASHRAE / ARI standards
• Motivation that comes from wanting to help meet the challenge of reducing global GHGs
• Preferably coming from an ESCO (Energy Service Company)