Senior Data Engineering Officer - United Overseas Bank
Summary
Designs, builds, and maintains data pipelines and data infrastructure at United Overseas Bank in Singapore, ensuring reliable data flow into warehouses and data lakes for business operations and analytics. Core tech includes ETL/ELT tooling, Python/Scala/Java, big data platforms (Hadoop, Spark), Quantexa, relational databases, and Kubernetes/OpenShift.
Company: 1011 United Overseas Bank Ltd
About UOB United Overseas Bank Limited (UOB) is a leading bank in ASEAN with a global network in Southeast Asia, Asia Pacific, Europe and North America. Operating through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, we have a global network of about 430 branches and offices in 19 markets. At the heart of UOB is our culture, shaped by the UOB Way and anchored on our four values - Honourable, Enterprising, United and Committed. For more than 90 years, these values have guided how we do right by our customers, collaborate with one another and create long-term value for the communities we operate in. As One Bank, we are committed to helping our colleagues build sustainable careers grounded in purpose, supported by strong values, and enriched with meaningful opportunities to grow. Job Description We are seeking a highly skilled and experienced Senior Officer Data Engineer to join our dynamic team at United Overseas Bank Ltd. In this role, you will be responsible for designing, developing, and maintaining robust and scalable data pipelines and infrastructure, ensuring the efficient and reliable flow of data across various systems to support critical business operations and analytics. Job Responsibilities- Design, build, and optimize data pipelines using various data integration tools and technologies (e.g., ETL, ELT, streaming) to ingest, transform, and load data from diverse sources into data warehouses, data lakes, and other data platforms.
- Develop and maintain data models, schemas, and data dictionaries to ensure data consistency, quality, and accessibility.
- Implement data governance policies and procedures to ensure data security, privacy, and compliance with regulatory requirements.
- Collaborate with data architects, data scientists, and business stakeholders to understand data requirements and translate them into technical solutions.
- Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability.
- Evaluate and recommend new data technologies and tools to enhance our data infrastructure and capabilities.
- Participate in code reviews, technical design discussions, and provide constructive feedback.
- Document data engineering processes, designs, and solutions.
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. Master's degree preferred.
- Minimum of 1 years of experience in data engineering, with a strong focus on data pipeline development and data warehousing.
- Proficiency in at least one programming language such as Scala, Python, or Java
- Experience with Quantexa platform and its data modeling capabilities
- Experience with relational databases (e.g., SQL Server, Oracle, PostgreSQL)
- Experience with big data technologies (e.g., Hadoop, Spark).
- Experience with containerization platforms such as OpenShift Container Platform (OCP) or Kubernetes
- Knowledge of DevOps practices, CI/CD pipelines
- Familiarity with data governance principles and best practices.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently and collaboratively in a fast-paced environment.