Data & AI Engineer at CLP Holdings Limited

, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipelines, Analytics Solutions, SQL, PostgreSQL, Spark, Scala, Python, Data Lake, Databricks, Data Factory, BI Dashboard, Data Governance, Data Quality, Cloud Technologies, Data Integration, Data Modelling, AI Concepts

Industry

Utilities

Description

Working Location: Kai Tak, Kowloon City Contract 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

Responsibilities

The Data & AI Engineer will build end-to-end data pipelines and collaborate with various teams to design and implement analytics solutions. They will also work closely with data architects and analysts to ensure data model integrity and support the operation of data and analytics solutions.