Data Engineering Manager: Pipelines, AI & Cloud

OCBC Bank; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

OCBC Bank in Singapore is seeking a Data Engineer (Manager) to design and operate data pipelines for enterprise data warehouse and AI knowledge base platforms. You will transform structured and unstructured data into reliable datasets to support risk management, customer engagement, fraud detection, and intelligent automation, under guidance from senior engineers.

This hands-on role offers opportunities across cloud, streaming, and AI-enabled data engineering, reporting to the Executive

Qualifications

• Bachelor’s degree in computer science, information systems, engineering or related field.
• At least 2 years of relevant data engineering experience in data platforms/software.
• Hands-on with SQL and Python in data warehouses/logs.

Responsibilities

• Batch & streaming data pipeline development for data lake/warehouse platforms.
• Develop and support data models for reusable analytical datasets and reporting.
• Write clean, tested SQL and Python for ingestion/processing; monitor pipelines.

Skills

SQL

Python

Data pipelines

Cloud

Airflow

Docker

Kubernetes

REST APIs

Flask

Spark

Education

Bachelor’s degree in computer science, information systems, engineering

Tools

Cloudera

Redshift

Snowflake

Flink

Airflow

Job description

OCBC Bank in Singapore is seeking a Data Engineer (Manager) to design and operate data pipelines for enterprise data warehouse and AI knowledge base platforms. You will transform structured and unstructured data into reliable datasets to support risk management, customer engagement, fraud detection, and intelligent automation, under guidance from senior engineers.

This hands-on role offers opportunities across cloud, streaming, and AI-enabled data engineering, reporting to the Executive