Assistant Vice President, Data Engineer

About the role

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. How you succeed To succeed in this role, you'll need to be able to extract insights from complex data sets and communicate those insights effectively to stakeholders. You'll work closely with business users to understand their needs and develop reports and dashboards that meet those needs. You'll also need to stay up-to-date with the latest trends and technologies in business intelligence.

Responsibilities

• Work with business stakeholders to identify data gaps and support growth opportunities
• Build and manage data pipelines and data architecture for analytics and business use
• Implement and maintain data processes, including scheduling and change management
• Automate reports and dashboards using scripting
• Develop data visualizations and dashboards for business insights
• Present data findings clearly to non-technical stakeholders
• Keep up with latest trends in data engineering and analytics
• What are we looking for:
• Bachelor's degree in Computer Science, Statistics, Mathematics or related field
• 5+ years of experience in data analytics / data engineering or related area
• Proficient in Python and SQL
• Experience with Hadoop, databases, DBT, Dagster, and Git
• Strong knowledge of data engineering, ETL, and automation
• Experience in dashboard development and Power BI (or similar tools)
• Good communication and interpersonal skills
• Able to work independently in a fast-paced environment and adapt to change
• #LI-SL1

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