Senior Data Engineer - Lakehouse & AI-Driven Data Platforms

re-zoo-me; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

United Overseas Bank Limited (UOB) invites a hands-on Senior Data Engineer to lead enterprise-scale ingestion frameworks and Lakehouse platforms. You will partner with architecture, governance, analytics and business teams to deliver trusted data assets and AI-ready models.

Responsibilities include building Bronze-Silver-Gold layers, data modeling, data quality, and observability, while optimizing Spark workloads and enabling CI/CD with modern tooling.

Qualifications

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

Responsibilities

• Design metadata-driven ingestion frameworks supporting 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 conceptual, logical and physical data models.
• Create business-facing data products with metadata, lineage and SLAs.
• Implement data quality controls and observability.
• Performance tune Spark jobs and distributed processing workloads.
• Support DevOps, CI/CD and Infrastructure as Code practices.
• Strong Programming skills (Java, Python, SQL).
• Build robust data ingestion and transformation frameworks for multi-model data with batch and real-time processing.

Skills

Apache Spark (PySpark)

Java

Python

Advanced SQL

Data Modeling

ETL/ELT and CDC

API integration

Education

Master's degree in computer science or related disciplines

Tools

Airflow

Kubernetes

Terraform

Cloudera Machine Learning (CML)

Job description

United Overseas Bank Limited (UOB) invites a hands-on Senior Data Engineer to lead enterprise-scale ingestion frameworks and Lakehouse platforms. You will partner with architecture, governance, analytics and business teams to deliver trusted data assets and AI-ready models.

Responsibilities include building Bronze-Silver-Gold layers, data modeling, data quality, and observability, while optimizing Spark workloads and enabling CI/CD with modern tooling.