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Full-time Tech & engineering · Posted 30 Sept
Data Engineer (AVP) O OCBC From company site
Salary
Not stated by the company
Start Not stated
Work mode On-site
Experience Experienced About the role You will join the Group Data Office as a hands-on data engineer, building and improving pipelines that feed enterprise data warehouse and AI knowledge base platforms in a banking setting. You will work alongside senior engineers and the head of data engineering, turning structured and unstructured data into dependable, reusable datasets and services. This suits someone with solid data engineering experience who wants to grow into streaming, real-time and AI-driven data product work.
What you'll do Build and maintain pipelines that feed data warehouse and lakehouse platforms Implement data models supporting reusable analytical datasets and reporting Follow SLAs and monitoring practices and help troubleshoot pipeline issues Develop and maintain batch processing jobs using Spark, SQL, Python or Java Know someone for this? Share it
Data Engineer (AVP) job at OCBC, Singapore | WorkJio
Support real-time streaming pipelines using Flink or similar tools under senior guidance
Help build and operate CDC pipelines
Build and maintain ingestion pipelines from APIs, GA4 and other sources
Implement messaging and streaming integrations using Pub/Sub and Kafka
Write clean, well-tested SQL and Python scripts and ingestion and processing pipelines
Develop and maintain Airflow DAGs for scheduled and event-driven workflows
Deploy and support data workloads on Cloudera, GCP and AWS equivalents
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 and Flask
Use Redis caching to meet performance requirements for data services
Assist in building and maintaining vector database pipelines and embedding generation jobs
Support processing and chunking workflows that feed AI knowledge bases and RAG pipelines
Build, test and monitor semantic search and retrieval quality for AI-facing data layers
Work closely with senior data engineers, AI teams and business stakeholders
Help translate business requirements into technical implementation tasks
Take part in code reviews and contribute to continuous improvement Good to know Reports to VP/ED, Data Engineering, Group Data Office Based at OCBC Singapore Learning and development opportunities available Collaborative environment focused on innovation and 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 Hands-on experience building data pipelines on modern data architectures including data warehouse, lakehouse and batch/real-time processing Exposure to Cloudera, BigQuery, Redshift or similar data warehouse platforms Batch processing experience with Spark, SQL, ETL, Python or Map/Reduce Data ingestion experience with APIs, GA4, Pub/Sub, Kafka and Python pipelines Benefits Competitive base salary Comprehensive flexible benefits Learning and professional development opportunities Exposure to enterprise-scale data and AI initiatives Collaborative environment Community initiatives Apply on the company website
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