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.
Why Join
Imagine having the opportunity to build and shape the data foundation that powers critical business decisions across the bank. As a Vice President, Data Engineering , you will lead the design and evolution of enterprise-scale data platforms, enabling advanced analytics, AI, regulatory reporting, and digital transformation initiatives.
You will work closely with business stakeholders, architects, data scientists, and technology teams to deliver reliable, scalable, and secure data solutions that support the bank's strategic objectives.
How You Succeed
To succeed in this role, you will combine deep technical expertise with strong leadership capabilities to architect and deliver modern data platforms. You will drive the adoption of engineering best practices, establish scalable data pipelines, and ensure data is trustworthy, accessible, and governed across the organization.
Success will be measured by your ability to build high-performing engineering teams, optimize platform performance, improve data quality and reliability, and enable faster delivery of business insights through robust data infrastructure.
What you will be doing:
Define and drive the strategic roadmap for the enterprise data platform, ensuring scalability, resilience, security, and operational excellence.
Design, develop, and maintain large-scale batch and real-time data pipelines using modern data engineering frameworks and technologies.
Lead the architecture and optimization of distributed data platforms, including Hadoop, Spark, Data Lake, and cloud-based data ecosystems.
Establish and govern data engineering standards, including data quality, metadata management, lineage, observability, and platform monitoring.
Partner with business, analytics, data science, and application teams to translate business requirements into scalable and reusable data solutions.
Drive DataOps and platform automation initiatives, including CI/CD, infrastructure-as-code, automated testing, and release management.
Optimize platform performance, cluster utilization, storage efficiency, and processing workloads to support growing business demands.
Ensure compliance with enterprise security, risk, governance, and regulatory requirements across all data environments.
Lead, mentor, and develop a high-performing team of data engineers, fostering a culture of innovation, accountability, and continuous improvement.
Evaluate emerging technologies and propose enhancements that strengthen the bank's data capabilities and future-readiness.
Who are we looking for:
Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Engineering, or a related discipline.
Minimum 8 years of experience in Data Engineering, Data Platform Engineering, or Big Data environments, including leadership or solution architecture responsibilities.
Extensive experience designing and implementing enterprise-scale data platforms and data integration solutions.
Strong hands-on expertise in the Hadoop ecosystem, including HDFS, YARN, Hive,…