Data & AI Engineer

Working Location: Kai Tak, Kowloon CityContract Period: Until Sep 2026 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 followings: Major Duties 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 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), 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 details 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 Please apply by clicking the button Apply for application giving a detailed C.V., including academic qualification, career history, current and expected salary, major achievements and personal attributes on or before 8 December 2025 . Information provided will be for recruitment purpose within the CLP Group and only short-listed candidates will be contacted. We comply with all applicable laws and regulations of HKSAR in handling applications. For details of the Personal Information Collection Statement, please visit our website: For further information on our company, please visit our website: #J-18808-Ljbffr