(Assistant) Data Engineer - Water Treatment Process

About ATAL Engineering Group

Established in 1977, ATAL Engineering Group (“ATAL”) is a leading electrical and mechanical (“E&M”) engineering service provider headquartered in Hong Kong, with operations in Macau, Mainland China, the United States and the United Kingdom. Serving a wide spectrum of customers from public and private sectors, ATAL provides multi-disciplinary and comprehensive E&M engineering and technology services in four major segments, including Building Services, Environmental Engineering, Information, Communications and Building Technologies (“ICBT”) and Lifts & Escalators.

At ATAL, we empower our people through our “Supportive and Caring” culture and working environment so that they could develop their competence and well-being at work and beyond.

We invite talents who aspire to open a new and challenging career page and are passionate in developing their career further. For more information, please visit our website

Responsibilities

• Source, cleanse and consolidate data from different Electrical and Mechanical systems, forming the big data infrastructure through cloud services such as AWS, Azure or GCP
• Conduct data analysis of large transaction data sets and data preparation for visualization or analytics/modelling
• Assist in developing machine learning model through Python to optimize energy and chemical usage in electrical and mechanical system

Requirements

• MPhil /PhD in Environmental Engineering or related discipline
• Bachelor Degree holder from disciplines such as chemical engineering, chemistry, environmental management, environmental science, environmental engineering
• Proven experience or knowledge in chemical or water treatment process
• Candidates who can demonstrate knowledge of AI, or experience and ability to apply Generative AI tools in their work
• 1 to 3 years of experience in Data or Business Intelligence Domain, data pipeline and software development
• Experience in collecting, relating, preparing and modelling data from disparate sources for reporting & analysis
• Python programming experience in previous projects/jobs will be an advantage
• Experience in machine learning / Pandas / Numpy / sklearn will be an advantage
• Experience in ETL/ELT process and big data framework such as Hadoop, Spark
• Experience in Kubernetes / Docker / Java / SQL

Fringe Benefits

• On-the-job training
• Performance bonus
• Medical insurance
• Education subsidy
• Career progression and clear career path

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