Manager, Data Engineer, Group Technology & Ops

UOB Investment; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

United Overseas Bank Limited (UOB) is seeking a skilled data engineering/AI analytics professional to deliver IT solutions for end-user operations. You will ingest and transform multi-model data (image, audio, video, documents) using Java, Spark, Python, and shell scripting, with batch and real-time processing.

You will design scalable, real-time systems with Hadoop ecosystem tools, build internal apps with Python and modern web frameworks, and work with data scientists to operationalize ML

Qualifications

• Degree in computer science or a related discipline.
• Strong hands-on experience with Hadoop ecosystem and data pipelines.
• Proficient in Java, Python, and SQL.
• Experience with Kubernetes, OpenShift, Docker, CI/CD and MLflow.

Responsibilities

• Build robust data ingestion and transformation frameworks for multi-model data.
• Design and develop real-time systems using Hadoop ecosystem components.
• Develop full-stack applications and internal tools with Flask/React.
• Collaborate with data scientists to operationalize ML models using CML.
• Perform performance tuning and optimization of data applications on Hadoop.

Skills

Hadoop ecosystem

Java

Python

SQL

Kubernetes

OpenShift

Docker

CI/CD

MLflow

Observability tools

NLP & AI analytics design

ML platforms (CML, Spark MLlib)

Python ML libraries (scikit-learn, XG‑

Data ingestion & pipelines

Real-time data processing

Education

Degree in computer science or related disciplines

Tools

Cloudera Machine Learning (CML)

Kafka

Spark

Hive

Iceberg

Ranger

Nifi

Flink

Ozone

Trino

Hadoop

Job description

About UOB

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values - Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

Company: 1011 United Overseas Bank Ltd

Job Description

Candidate will work with project team members, including external vendors, to deliver IT solutions to bank's end-user. The solution scope involves Application setup, design and development to enhance the bank's operation readiness and financial prowess. Forward looking and agile to adapt to changing bank's needs and dynamic working environment.

Candidate will work closely with IT and Business stakeholders to understand business needs and work collaboratively to deliver solutions.

• Build robust data ingestion and transformation frameworks using Java, Spark, Python, and shell scripting for ingesting multi model data(image, audio, video, unstructured documents) with both batch and real-time.
• Design and develop highly scalable, Real time systems using Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink and Nifi)
• Develop full stack applications and internal engineering tools using Python, shell scripting, and modern web frameworks (e.g., Flask, React).
• Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML).
• Perform performance tuning and optimization of data applications on Hadoop to ensure optimal resource utilization.

Job Requirement

• Degree in computer science or a related disciplines.
• Strong hands on experience with Hadoop ecosystem (Hive, Impala, Spark, Kafka, Iceberg, Ranger, Atlas, Nifi, Flink etc.,) for data processing and data pipeline orchestration.
• Strong Programming skills (java, python, sql)
• Strong hands on 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 platforms.
• Experience working with ML platforms such as CML, Spark MLlib, and Python ML libraries (scikit learn, XGBoost), including model deployment.
• Strong experience in building full agentic application with all the features(e.g mcp/tools/memory/rag)
• Experienced Cloud platforms and Cloud based app deployments with observability
• Strong exposure to AI-driven risk scoring, fraud investigation and explainable AI use cases in banking.

Additional Requirements

Develop, Engage, Execute, Strategise

Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.