Senior Data Engineer - Real-Time Data & AI Pipelines

OCBC Group; Singapore; On-site; SGD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Holistic benefits

Learning opportunities

Community initiatives

Wellbeing & growth

Job summary

OCBC Group is seeking a Data Engineer (Assistant Vice President) to design, build and optimize enterprise data pipelines powering data warehouse and AI knowledge bases within a banking environment. You will transform structured and unstructured data into reliable datasets for risk, customer engagement, and intelligent automation.

You will work closely with senior engineers and stakeholders, grow into streaming, real-time data products, and contribute to a culture of continuous improvement with

Qualifications

• Diploma, Bachelor’s or Master’s degree in computer science or a related field.
• At least 5 years of experience in data engineering or data platforms.

Responsibilities

• Build and maintain batch and streaming data pipelines powering data warehouse/lakehouse platforms.
• Develop reusable analytical datasets and reporting foundations with SQL, Spark, dbt, Python or Java.
• Support real-time streaming pipelines using Flink or similar tools and implement CDC pipelines.
• Create ingestion pipelines from APIs and analytics sources like GA4; implement Pub/Sub and Kafka integrations.
• Develop and operate orchestration using Airflow or Dagster; build REST APIs and backend services using Python/ Flask.
• Collaborate with risk, marketing, and operations stakeholders to translate requirements into data solutions.

Skills

Data engineering

Batch & streaming

Cross-functional collaboration

Education

Bachelor's/Master's in CS

Tools

Cloudera

BigQuery

Redshift

Spark

SQL

ETL

Python

Java

Flink

Debezium

Confluent

Fivetran

Pub/Sub

Kafka

Airflow

Dagster

Terraform

Docker

Kubernetes

Cloud Run

Redis

Job description

OCBC Group is seeking a Data Engineer (Assistant Vice President) to design, build and optimize enterprise data pipelines powering data warehouse and AI knowledge bases within a banking environment. You will transform structured and unstructured data into reliable datasets for risk, customer engagement, and intelligent automation.

You will work closely with senior engineers and stakeholders, grow into streaming, real-time data products, and contribute to a culture of continuous improvement with