Head of Tech & Data Platform Operations

UOB Venture; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

United Overseas Bank Limited (UOB) invites a skilled data engineering professional to join its IT team in Singapore. You will work with project teams and vendors to deliver data solutions enhancing operational readiness and financial analytics.

You will build robust ingestion/transformation pipelines, design scalable real-time systems with Hadoop, develop full-stack tools with Python and modern web frameworks, and collaborate with data scientists to operationalize ML models within the bank's

Qualifications

• Degree in computer science or related disciplines.
• Hands-on Hadoop ecosystem experience for data processing and pipelines.
• Strong programming skills in Java, Python, SQL.
• Experience with Kubernetes, OpenShift, Docker, CI/CD, MLflow and observability tools.
• Ability to design data architectures supporting NLP and AI-driven analytics, including ingestion, curation, and governance of unstructured data within Data Lake/ Data Warehouse.
• Experience with ML platforms such as CML, Spark MLlib, and Python ML libraries (scikit-learn, XGBoost).
• Experience building full agentic applications with features (e.g MCP/tools/memory/RAG).
• Cloud platforms and cloud-based app deployments with observability.
• Exposure to AI-driven risk scoring, fraud investigation and explainable AI use cases in banking.

Responsibilities

• Build robust data ingestion and transformation frameworks using Java, Spark, Python, and shell scripting for multi-model data ingestion (image, audio, video, unstructured documents) with batch and real-time processing.
• Design and develop scalable, real-time systems using Hadoop ecosystem components (Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink, NiFi).
• Develop full-stack applications and internal tools using Python, shell scripting, and modern web frameworks (Flask, React).
• Collaborate with data scientists to operationalize ML models using Cloudera Machine Learning (CML).
• Perform performance tuning and optimization of data applications on Hadoop for efficient resource use.

Skills

Hadoop ecosystem

Java

Python

SQL

Kubernetes

OpenShift

CI/CD

MLflow

NLP/AI analytics

Education

Degree in computer science or related disciplines

Tools

Hive

Spark

Kafka

Iceberg

Ranger

Atlas

Nifi

Flink

Cloudera ML

Job description

United Overseas Bank Limited (UOB) invites a skilled data engineering professional to join its IT team in Singapore. You will work with project teams and vendors to deliver data solutions enhancing operational readiness and financial analytics.

You will build robust ingestion/transformation pipelines, design scalable real-time systems with Hadoop, develop full-stack tools with Python and modern web frameworks, and collaborate with data scientists to operationalize ML models within the bank's