Data Engineer (AVP)

WHO WE ARE: As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.

Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.

We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.

Your Opportunity Starts Here.

WHO WE ARE As Singapore’s longest‑established bank, OCBC has supported individuals and businesses in achieving their aspirations since 1932. We are transforming into a future‑ready learning organization – leveraging technology and innovation while staying true to our ambition to be Asia’s leading financial services partner for a sustainable future.

Join us to build the bank of the future, work in collaborative teams, and create lasting value for our customers and communities.

ROLE We are seeking a Data Engineer (AVP) to build, maintain, and continuously improve data pipelines that power enterprise‑grade data warehouse, AI knowledge base within a banking environment. Working closely with senior engineers and the head of data engineering, you will help transform structured and unstructured data into reliable, reusable datasets and services that support use cases such as risk management, customer engagement, fraud detection, and intelligent automation. This is a hands‑on engineering role with strong opportunities to grow into streaming, real‑time, and AI‑driven data product work.

This role reports to VP/ED, Data Engineering, Group data office.

KEY RESPONSIBILITIES Batch & Streaming Data Pipeline Development

Build and maintain data pipelines feeding data warehouse / lakehouse platforms (e.g., Cloudera, AWS Redshift or GCP BigQuery)

Implement data models to support reusable analytical datasets and reporting foundations

Follow established SLAs and monitoring practices, and help troubleshoot pipeline issues

Develop and maintain batch data processing jobs using Spark, SQL, Python or Java

Support and contribute to real‑time streaming pipelines using Flink or similar tools, under senior guidance

Assist in building and operating CDC pipelines (e.g., Debezium, Confluent or Fivetran)

Build and maintain ingestion pipelines from APIs, GA4, and other data sources

Implement messaging/streaming integrations using Pub/Sub and Kafka

Write clean, well‑tested SQL and Python scripts and data ingestion and processing pipelines

Orchestration & Automation

Develop and maintain Airflow DAGs for scheduled and event‑driven workflows

Follow orchestration best practices established by senior engineers

Cloud Infrastructure & DevOps

Deploy and support data workloads on Cloudera, GCP (Docker, Kubernetes, Cloud Run), AWS equivalent

Contribute to and maintain CI/CD pipelines

Use Terraform to provision and manage infrastructure under senior guidance

Build and support REST APIs and backend services using Python / Flask

Use Redis caching to meet performance requirements for data services

AI Knowledge Base & RAG Support

Assist in building and maintaining vector database pipelines and embedding generation jobs under senior guidance

Support to deliver processing and chunking workflows that feed AI knowledge bases and RAG pipelines

Build, test and monitor semantic search / retrieval quality for AI‑facing data layers

Cross‑functional Collaboration

Work closely with senior data engineers, AI teams, and business stakeholders (Risk, Marketing, Operations)

Help translate business requirements into technical implementation tasks

Participate in code reviews and contribute to a culture of continuous improvement

REQUIREMENTS

Diploma, Bachelor’s or Master’s degree in computer science or a related field

At least 5 years of experience in data engineering, data platforms, or related roles.

Solid hands‑on experience in build data pipelines on modern data architectures including Data Warehouse, Lakehouse, and batch/real-time data processing systems.

Working AI knowledge base concepts: vector databases, embeddings, and semantic search is a plus

Hands‑on RAG pipeline components such as document chunking, embedding generation, and retrieval is a plus

Good experience on building data layers that support LLM / AI agent use cases is a plus.

Experience in banking or financial services is a plus

Technical Stack

Data Warehouse / Platform: exposure to Cloudera, BigQuery, Redshift, or similar

Batch Processing: Spark, SQL, ETL, Python, Map/Reduce

Streaming: familiarity with Flink or other real‑time processing engines (Good to have)

CDC: exposure to Debezium, Confluent, Fivetran, or similar (Good to have)

Data Ingestion: APIs, GA4, Pub/Sub, Kafka, Python pipelines

Orchestration: Airflow or equivalents

Cloud & Infrastructure: GCP or AWS; basic Docker/Kubernetes/Cloud Run experience

DevOps / DataOps: exposure to CI/CD pipelines and Terraform

Backend & Serving: Python, Flask, REST APIs; familiarity with Redis a plus

Additional Preferred Experience

Eagerness to learn real‑time / streaming architectures and low‑latency system design

Basic exposure to LLM applications, RAG, or AI agent concepts is a plus, not required

Good product mindset and willingness to treat data as a product, not just a project

Strong communication skills and comfort collaborating with both technical and business stakeholders

WHAT WE OFFER

Competitive base salary and comprehensive benefits.

Strong learning and development opportunities.

Exposure to impactful, enterprise‑scale Data and AI initiatives across the OCBC Group.

A collaborative environment that values innovation, craftsmanship, and continuous improvement.

Your wellbeing, growth, and aspirations matter to us as much as delivering value to our customers.

What we offer: Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.