Data Engineer - AI 30-35K

Michael Page International (HK) Ltd; Hong Kong; On-site; HKD 900,000 - 1,400,000; Full time

Benefits offered by this job

Competitive salary and benefits

Exposure to cutting-edge technology

Collaborative and inclusive work env.

GenAI and data engineering focus

Job summary

Michael Page International (HK) Ltd in Hong Kong is partnering with a well-established business services client to hire a data engineer. The role focuses on designing and delivering end-to-end data solutions, handling diverse data types, and building scalable data infrastructure to support analytics and AI use cases.

You will implement ETL pipelines, enable RAG workflows for LLM-based applications, and collaborate with non-technical stakeholders to ensure data reliability and performance across

Responsibilities

• Design and deliver end-to-end data solutions covering validation, transformation, and retrieval.
• Handle diverse data types including structured, unstructured, and vector data.
• Build, deploy, and maintain data infrastructure within project scope.
• Develop and manage ETL pipelines and data schemas to support analytics and AI use cases.
• Implement and support data operations using notebooks and automation tools.
• Enable and maintain RAG solutions for LLM-based applications.
• Provide data engineering expertise and support to non-technical stakeholders.
• Ensure data reliability, performance, and scalability across platforms.
• Work on modern data platforms and GenAI-driven solutions.
• Hands-on exposure to RAG, Spark, and cloud data engineering.

Tools

Spark

Notebooks

Automation tools

RAG tooling

Job description

• Design and deliver end-to-end data solutions covering validation, transformation, and retrieval.
• Handle diverse data types including structured, unstructured, and vector data.
• Build, deploy, and maintain data infrastructure within project scope.
• Develop and manage ETL pipelines and data schemas to support analytics and AI use cases.
• Implement and support data operations using notebooks and automation tools.
• Enable and maintain RAG solutions for LLM-based applications.
• Provide data engineering expertise and support to non-technical stakeholders.
• Ensure data reliability, performance, and scalability across platforms.

• Design and deliver end-to-end data solutions covering validation, transformation, and retrieval.
• Handle diverse data types including structured, unstructured, and vector data.
• Build, deploy, and maintain data infrastructure within project scope.
• Develop and manage ETL pipelines and data schemas to support analytics and AI use cases.
• Implement and support data operations using notebooks and automation tools.
• Enable and maintain RAG solutions for LLM-based applications.
• Provide data engineering expertise and support to non-technical stakeholders.
• Ensure data reliability, performance, and scalability across platforms.

Work on modern data platforms and GenAI-driven solutionsHands-on exposure to RAG, Spark, and cloud data engineering

Our client is a well-established organization within the business services industry, recognized for its commitment to innovation and excellence. They are a large organization with a global presence and a focus on leveraging technology to drive business success.

• Competitive monthly salary and benefits package.
• Exposure to cutting-edge technology and tools within the technology department.
• Collaborative and inclusive work environment.
• Chance to contribute to impactful projects and enhance your data engineering expertise.