- River Valley Central Region (Singapore) Singapore
UOB Kay Hian Pte Ltd Hiring! Full Time AI Data Engineer in Central Region (Singapore), Earn up to SGD 12,000 - Ricebowl
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Job Description
Responsibilities
Role Overview
We are hiring a hands-on engineer with strong capabilities in data pipelines and applied AI (GenAI) to build and support our AI-driven platform and Datalake platform.
Key Responsibilities
Own the architecture, operation, and continuous improvement of the enterprise Data Lake and AI Platform.
Design, implement, and maintain scalable data pipelines using AWS Glue, Apache Iceberg, Redshift, and related cloud-native technologies.
Ensure data quality, governance, lineage, observability, security, and platform reliability.
Establish standards and best practices for data ingestion, transformation, storage, and consumption.
Design, build, and deploy AI Agents, AI Advisors, and GenAI-powered business solutions.
Develop Retrieval-Augmented Generation (RAG)architectures leveraging enterprise knowledge and data assets.
Design multi-agent workflows to automate business processes and improve user productivity.
Evaluate emerging AI technologies and identify opportunities to enhance AI capabilities across the organization.
Core Skills (Must-Have)
1. Data Engineering Fundamentals
Strong hands-on experience in ETL/ELT pipeline development
Proficient in data transformation, cleaning, and modeling
Solid experience with SQL and working with large datasets
Familiar with Airflow, AWS Glue, S3, Redshift, Lambda
Understanding of data quality, lineage, and reliability concepts
2. Programming & Backend Development
Strong proficiency in Python (preferred) or similar backend language
Experience building RESTful APIs and backend services
Ability to write clean, maintainable, production-grade code
3. GenAI / LLM Capabilities
Hands-on experience working with LLMs (e.g. OpenAI, Claude, or QWEN)
Understanding of Retrieval-Augmented Generation (RAG) architecture
Experience with embeddings, vector databases, and prompt orchestration
Ability to connect enterprise data with LLMs in a secure and scalable way
4. Data Storage & Systems
Experience with relational databases (e.g. MySQL, PostgreSQL)
Familiarity with NoSQL / document stores
Understanding of data lake / warehouse concepts
5. Deployment & Platform Skills
Experience with Docker and containerization
Basic familiarity with Kubernetes / AWS / OpenShift or similar platforms
Understanding of CI/CD practices for backend or data applications
Good-to-Have Skills
Experience with streaming data (Kafka or equivalent)
Exposure to machine learning workflows
Experience with API gateways, authentication, and security practices
Familiarity with cloud platforms (AWS)
Prior experience in financial services / trading systems
Key Attributes
Able to operate as a hybrid engineer across data and AI domains
Strong problem-solving and system design thinking
Comfortable working in ambiguous, fast-moving environments
Focus on delivering working solutions, not just prototypes
Scope (High-Level)
Build and maintain data pipelines
Enable AI/GenAI use cases (e.g. AI Advisor, Research Chatbot etc.)
Integrate AI capabilities into applications and services
UOB Kay Hian is a regional broking and corporate finance services Group headquartered in Singapore. We are the largest domestic broker in Singapore by both market capitalisation and size of sales-force. We have a formidable foothold in key financial markets in Asia, North America and Europe. With our strong capabilities and extensive network, we excel in delivering a wide range of broking services to our clients.
We are hiring a hands-on engineer with strong capabilities in data pipelines and applied AI (GenAI) to build and support our AI-driven platform and Datalake platform.
Key Responsibilities
Own the architecture, operation, and continuous improvement of the enterprise Data Lake and AI Platform.
Design, implement, and maintain scalable data pipelines using AWS Glue, Apache Iceberg, Redshift, and related cloud-native technologies.
Ensure data quality, governance, lineage, observability, security, and platform reliability.
Establish standards and best practices for data ingestion, transformation, storage, and consumption.
Design, build, and deploy AI Agents, AI Advisors, and GenAI-powered business solutions.
Develop Retrieval-Augmented Generation (RAG)architectures leveraging enterprise knowledge and data assets.
Design multi-agent workflows to automate business processes and improve user productivity.
Evaluate emerging AI technologies and identify opportunities to enhance AI capabilities across the organization.
Core Skills (Must-Have)
1. Data Engineering Fundamentals
Strong hands-on experience in ETL/ELT pipeline development
Proficient in data transformation, cleaning, and modeling
Solid experience with SQL and working with large datasets
Familiar with Airflow, AWS Glue, S3, Redshift, Lambda
Understanding of data quality, lineage, and reliability concepts
2. Programming & Backend Development
Strong proficiency in Python (preferred) or similar backend language
Experience building RESTful APIs and backend services
Ability to write clean, maintainable, production-grade code
3. GenAI / LLM Capabilities
Hands-on experience working with LLMs (e.g. OpenAI, Claude, or QWEN)
Understanding of Retrieval-Augmented Generation (RAG) architecture
Experience with embeddings, vector databases, and prompt orchestration
Ability to connect enterprise data with LLMs in a secure and scalable way
4. Data Storage & Systems
Experience with relational databases (e.g. MySQL, PostgreSQL)
Familiarity with NoSQL / document stores
Understanding of data lake / warehouse concepts
5. Deployment & Platform Skills
Experience with Docker and containerization
Basic familiarity with Kubernetes / AWS / OpenShift or similar platforms
Understanding of CI/CD practices for backend or data applications
Good-to-Have Skills
Experience with streaming data (Kafka or equivalent)
Exposure to machine learning workflows
Experience with API gateways, authentication, and security practices
Familiarity with cloud platforms (AWS)
Prior experience in financial services / trading systems
Key Attributes
Able to operate as a hybrid engineer across data and AI domains
Strong problem-solving and system design thinking
Comfortable working in ambiguous, fast-moving environments
Focus on delivering working solutions, not just prototypes
Scope (High-Level)
Build and maintain data pipelines
Enable AI/GenAI use cases (e.g. AI Advisor, Research Chatbot etc.)
Integrate AI capabilities into applications and services
UOB Kay Hian is a regional broking and corporate finance services Group headquartered in Singapore. We are the largest domestic broker in Singapore by both market capitalisation and size of sales-force. We have a formidable foothold in key financial markets in Asia, North America and Europe. With our strong capabilities and extensive network, we excel in delivering a wide range of broking services to our clients.
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