Data & AI Engineer

Major Duties We’re seeking a skilled Data and AI Engineer to design scalable data pipelines and analytics solutions that drive business insights. Reporting to the team lead, the appointee will be responsible for the following: Build end-to-end data pipelines including data collection, transformation, quality and integration solutions to facilitate CLP’s data & analytics solution. Collaborate with solution design and business requirements teams to identify data requirements and assemble large, complex data sets that meet the requirements. Design, implement and fine-tune analytics solutions that meet business and technical requirements. Work collaboratively with the CLP data architect to ensure data model integrity. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources. Create data tools for analytics and data scientists teams that assist them in building and optimising the data models and solutions. Work with the DevOps engineer to support the consistent operation of data & analytics solutions. Work closely with the data analysts & data scientists to design and develop APIs. Working Location: Kai Tak, Kowloon City Contract Period: Until September 2026 Requirements Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. At least 3 years experience in SQL/PostgreSQL, data, and BI solutions with integration to 3rd party tools. Experience working with application server software (e.g. ERP), Spark, Scala, Python, SQL scripting languages, relational databases (e.g. SQL DB/DW), NoSQL platforms (e.g. HBase, MongoDB, Cassandra), and cloud technologies (e.g. Azure). Experience with Data Lake, Databricks, Data Factory, BI Dashboard, and BI implementation projects. Highly experienced with processing large and complex datasets and building end-to-end data pipelines using on-premise or cloud-based data platform. Experienced in coding in data management, data warehousing or unstructured data environments. Experience in the energy sector or other asset-intensive industries will be highly regarded. Experience in using coding assistants (e.g. GitHub Copilot) for uplifting productivity in development. Familiar with GenAI concepts like RAG, orchestration frameworks like LangChain and LlamaIndex, vector databases etc. to collaborate efficiently with data scientists and ML engineers in AI use cases. Technical And Functional Competencies Experience in Azure cloud platforms and technology. Ability to define and develop data integration patterns and pipelines. Strong knowledge of data modelling, data warehousing, and BI concepts. Self-motivated, able to work independently, and attention to detail. Curious about emerging AI trends and their implications for data engineering. Key Capabilities End-to-End Data Management: Skilled in sourcing, ingestion, preparation, integration, streaming, and provisioning of data. Data Governance & Quality: Experienced in cataloging, lineage tracking, quality assurance, and data masking. Project & Stakeholder Engagement: Strong in project delivery, stakeholder management, and building effective business partnerships. About CLP CLP was founded in Hong Kong in 1901, at a time when electricity was still a novelty worldwide. Today we power millions of homes and businesses across the Asia-Pacific region with over 8,000 employees. In Hong Kong, we operate a vertically integrated electricity business providing a highly reliable supply of electricity to over 80% of the city’s population. Outside Hong Kong, we invest in the energy sector on the Chinese Mainland, in Australia, India, Taiwan Region and Thailand. Our business spans the electricity value chain ranging from power generation, transmission and distribution to retail and smart energy services. We have a diversified portfolio of generating assets that uses a wide range of fuels sources including nuclear, renewables, gas and coal. To meet the evolving needs of energy users in a world being reshaped by decarbonisation and digitalisation, we strive to embrace new opportunities and expand our horizons as we fulfil our purpose to Power Brighter Tomorrows. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Utilities Referrals increase your chances of interviewing at CLP by 2x Sign in to set job alerts for “Artificial Intelligence Engineer” roles. #J-18808-Ljbffr