Data Engineer - AVP/Manager

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.

Data Engineer Why Join

Imagine being part of a team that designs and develops innovative digital solutions for OCBC's customers. As a Data Engineer, you'll play a key role in shaping the bank's technology landscape and delivering exceptional customer experiences. You'll have the opportunity to work on exciting projects, collaborate with talented professionals, and grow your career in a dynamic and supportive environment.

How you succeed

To excel in this role, you'll need to combine technical expertise with business acumen and collaboration skills. You'll work closely with stakeholders to understand their needs, design and develop solutions that meet those needs, and ensure seamless integration with existing systems. Your ability to balance technical complexity with business requirements will be crucial to your success.

What you do

The Data Engineer is responsible for designing, building, and operating scalable, cloud‑native data platforms that support analytics, reporting, and business decision‑making across OCBC Group.

The role focuses on modern data engineering practices including Lakehouse architectures, real‑time streaming, data governance, and automation, and supports regional initiatives through a Centre of Excellence model.

Your Accountabilities & Responsibilities Will Include

• Deliver robust, scalable, and secure data pipelines aligned with group architecture standards.
• Modernize legacy data workloads to cloud‑native platforms.
• Partner with Business Units, Analytics, and regional teams to deliver analytics‑ready datasets and support reporting and dashboards.
• Contribute to regional data initiatives and capability uplift via a build‑and‑transfer model.
• Design, build, and maintain scalable data pipelines across hybrid environments (on‑prem and cloud), preferably with AWS.
• Develop and support batch and real‑time data processing using streaming technologies.
• Implement and operate Lakehouse architectures and open metadata/catalog frameworks.
• Modernize and migrate legacy data workloads to cloud‑native or hybrid architectures aligned with Group standards.
• Build automated ETL/ELT workflows, data quality checks, monitoring, and scheduling frameworks.
• Ensure operational stability, performance optimization, and continuous improvement of data platforms.

Who you are

• Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or related discipline.
• 3–7 years of relevant experience in data engineering, data platforms, or analytics engineering.
• Experience with SQL, dbt, Airflow/Dagster, Git, and CI/CD practices.
• Proven experience with Apache Iceberg and Lakehouse architectures and proficiency in Spark and PySpark.
• Experience with at least one major cloud platform (preferably AWS), including:

• Storage and compute services, Data processing frameworks, Streaming and event ingestion services & Orchestration

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