Senior Data Engineer – Lakehouse & AI-Ready Data Platforms

UOB; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

United Overseas Bank Limited is seeking a hands-on Senior Data Engineer in Singapore to build enterprise-scale ingestion frameworks and Lakehouse data platforms. You will partner with architecture, governance, analytics and business teams to deliver trusted, AI-ready data assets.

Responsibilities include designing ingestion frameworks, building Bronze/Silver/Gold layers, data modeling, and implementing data quality, observability, and CI/CD practices.

Qualifications

• Master’s degree in computer science or related disciplines.
• 15+ years of technology delivery experience, preferably in banking or financial services.

Responsibilities

• Design metadata-driven ingestion frameworks for batch, CDC, streaming, APIs and files.
• Develop reusable Spark/Python components, orchestration, logging, monitoring and error handling.
• Build Bronze, Silver and Gold layers using Lakehouse principles.
• Design data models and create data products with metadata, lineage and SLAs.
• Implement data quality controls and observability; performance-tune Spark jobs.
• Collaborate with data scientists to operationalize ML models in CML.
• Support DevOps, CI/CD and Infrastructure as Code practices.

Skills

Apache Spark

PySpark

Java

Python

SQL

Data Modeling

Delta Lake

Lakehouse

ETL/ELT

CDC

API Integration

Data engineering best practices

Kubernetes

Airflow

Terraform

Cloudera Machine Learning

Education

Master’s degree in computer science or related disciplines

15+ years of technology delivery experience

Tools

Kubernetes

OpenShift

Docker

CI/CD

MLflow

Flask

React

Job description

United Overseas Bank Limited is seeking a hands-on Senior Data Engineer in Singapore to build enterprise-scale ingestion frameworks and Lakehouse data platforms. You will partner with architecture, governance, analytics and business teams to deliver trusted, AI-ready data assets.

Responsibilities include designing ingestion frameworks, building Bronze/Silver/Gold layers, data modeling, and implementing data quality, observability, and CI/CD practices.