Data Engineer (Mgr)
Manager-level data engineer at OCBC Group's Data Office in Singapore, building and maintaining batch and streaming data pipelines for the enterprise data warehouse and AI knowledge base platforms. Core stack: SQL, Python, Spark, Airflow, Kafka/Flink, AWS/GCP (Cloudera, Redshift, Snowflake), plus RAG and vector-database support.
- Compensation
- Not disclosed
- Location
- Singapore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor's degree in computer science, information systems, engineering, or a related field
- At least 2 years of relevant experience in data engineering, data platforms, software engineering, or related roles
- Hands-on experience building or supporting data pipelines using SQL and Python in a data warehouse, data lake, or cloud environment
- Basic experience with Cloudera, Redshift, or similar data warehouse/data lake platforms
- Basic experience with Airflow or equivalent orchestration tools
- Exposure to GCP or AWS; basic knowledge of Docker or Cloud Run
- Basic exposure to CI/CD pipelines
- Backend and serving skills with Python, Flask, and REST APIs
- Good communication, teamwork, problem-solving, and willingness to learn
Nice to have
- Exposure to Spark, ETL, or MapReduce for batch processing
- Exposure to Flink or another real-time streaming engine
- Basic knowledge of AI knowledge base concepts such as vector databases, embeddings, or semantic search
- Exposure to RAG components such as document chunking, embedding generation, or retrieval
- Exposure to data layers supporting LLM or AI agent use cases
- Experience or interest in banking and financial services
Full description
Data Engineer (Mgr)Apply:
Onsite:
OCBC Singapore:
Full time:
Posted Today:
JR00011450# 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.# ROLEWe are seeking a Data Engineer (Manager) to support the development, maintenance, and improvement of data pipelines for enterprise data warehouse and AI knowledge base platforms within a banking environment. Working under the guidance of senior engineers, you will help transform structured and unstructured data into reliable, reusable datasets that support use cases such as risk management, customer engagement, fraud detection, and intelligent automation. This is a hands-on role with strong learning opportunities across cloud, streaming, and AI-enabled data engineering.
This role reports to Executive Director, Data Engineering, Group Data Office.
KEY RESPONSIBILITIESBatch & Streaming Data Pipeline Development* Develop and support data pipelines feeding data
lake/ data warehouse platforms, such as Cloudera, AWS Redshift, Snowflakes, under senior guidance.* Support the implementation of data models for reusable analytical datasets and reporting* Monitor data pipelines against established SLAs and assist in troubleshooting data quality and processing issues* Develop and maintain batch processing jobs using Spark, SQL, Python, or Java* Assist with real-time streaming pipelines using Flink or similar tools* Build and support ingestion pipelines from APIs, GA4, files, and other data sources* Support messaging and streaming integrations using Pub/Sub or Kafka* Write clean, tested, and maintainable SQL and Python code for data ingestion and processing
Orchestration & Automation* Develop and support Airflow DAGs (or similar tools) for scheduled and event-driven workflows* Follow established orchestration, coding, and operational standards