Data Engineer (VP)

About the role

OCBC, Singapore's oldest bank, is looking for a Data Engineer (VP) to design, build and scale enterprise-grade data pipelines and platforms in a banking environment. The role owns the end-to-end architecture of batch and real-time data pipelines and an AI knowledge base, sets engineering standards for the team and works closely with data leaders to turn data into scalable, reusable and AI-ready products. It reports to the Head of Data Product, Group data office.

Key responsibilities

• Own and optimise scalable data warehouse / lakehouse architectures on platforms such as Cloudera, AWS or GCP, and define data modelling, partitioning and performance standards
• Build large-scale batch pipelines (Spark, SQL, Python, Map/Reduce) and real-time streaming pipelines (Kafka, Flink)
• Maintain CDC pipelines (Debezium, Confluent, Fivetran) and complex Airflow DAGs, and drive standardisation of orchestration patterns
• Deliver cloud-native data infrastructure (Docker, Kubernetes, Cloud Run) and own CI/CD pipelines with infrastructure-as-code (Terraform)
• Build REST APIs and backend services (Python, Flask) and caching layers (Redis) for data products
• Design vector database and embedding pipelines for AI knowledge bases, ensuring online/offline consistency and freshness
• Partner with data, AI and infrastructure teams and mentor mid-level and junior engineers

Required profile

• Bachelor's or Master's degree in computer science or a related field
• At least 10 years of experience in data engineering, data platforms or related roles, including leading pipeline design and delivery
• Strong understanding of data warehouses, data lakes, lakehouses and batch/streaming systems
• Hands-on ownership of production data platforms, including on-call reliability
• Experience in banking or financial services preferred

Required skills

• Data platforms: Cloudera, BigQuery, Redshift, Teradata
• Batch: Spark, SQL, ETL, Python, Map/Reduce
• Streaming: Flink, Kafka, CDC tools (Debezium, Confluent, Fivetran)
• Orchestration: Airflow
• Cloud and DevOps: GCP or AWS, Docker, Kubernetes, Terraform
• Preferred: RAG pipelines, vector databases, tool-ready APIs for LLM/AI agents

What we offer

• Competitive base salary and a suite of flexible benefits
• Learning and professional development opportunities
• Exposure to enterprise-scale data and AI initiatives across the OCBC Group