Digital Market Data Engineer

About Visa Digital Sales

Digital Sales is central to Visa’s mission of becoming a world-class B2B sales organization. We drive scalable, flexible, and data-driven revenue growth across Asia Pacific by empowering Digital Sales Representatives (DSRs), Business Development Representatives (BDRs), Regional Sales Managers (RSMs), and cross-functional teams such as B2B marketing, Client Success, Risk Management, Portfolio and Product teams, with modern, digital-first selling motions and agentic workforce strategy. As our engagement volumes grow and our GTM model accelerates, we are building new AI-powered capabilities to help sellers work smarter, faster, and with greater precision class B2B sales organization. We drive scalable, flexible, and data-driven revenue growth across Asia Pacific by empowering functional partners with modern, digital-first selling motions. As our engagement volumes grow and our GTM model accelerates, we are building new AI-powered capabilities to help our digital-native talent work smarter, faster, and with greater precision. The strategy and best practices from this functional leader will be critical to build a best-in-class B2B sales organization.

Why You Should Apply

Visa is launching a Digital Sales Hub in Asia Pacific, accelerating a digital-first, data-driven sales model that delivers scale, precision, and speed. As a Senior Data Engineer, you will play a pivotal role in building future-ready data architecture that powers segmentation, predictive insights, and campaign orchestration—helping shape Visa’s growth strategy across APAC.

Responsibilities

• Design and implement APIs to integrate external data sources into Visa’s internal systems.
• Architect scalable data pipelines for unstructured text data, ensuring security and compliance.
• Develop and maintain data integration frameworks leveraging the Hadoop ecosystem and modern cloud platforms.
• Collaborate with analysts and business stakeholders to translate market intelligence needs into technical solutions.
• Enable advanced analytics by structuring data for dashboards, segmentation models, and predictive insights.
• Ensure data quality and governance across ingestion, storage, and transformation layers.

Qualifications

Basic

• Proven experience in data engineering with a focus on API development and data integration.
• Strong proficiency in Python and SQL for data processing and automation.
• Expertise in REST API design, JSON/XML handling, and secure data transfer protocols.
• Hands-on experience with Hadoop ecosystem (HDFS, Hive) and Spark for large-scale data processing.
• Solid understanding of data architecture principles, scalability, and performance optimisation.
• Experience handling unstructured text data and applying NLP techniques for data extraction and enrichment.
• Knowledge of BI tools such as Tableau and Power BI for data visualisation.
• Architectural Vision: Ability to design scalable, future-ready data frameworks.
• Problem Solver: Comfortable tackling complex data challenges with innovative solutions.
• Collaboration: Strong partnership skills to work closely with Digital Market Development Leads and analysts.
• Innovation: Passion for automation and continuous improvement.
• Business Acumen: Understand how data drives segmentation, GTM strategies, and campaign performance.

Preferred

• Experience with Kafka or similar streaming technologies for real-time ingestion.
• Exposure to sales technology ecosystems, CRM platforms, and marketing data workflows.
• Familiarity with cloud platforms (AWS or GCP; Azure experience is a plus).

Additional Information

Working location: This role is required to be onsite in the Singapore office five days a week

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Key skills/competency

• Data Engineering
• API Development
• Data Integration
• Python Programming
• SQL Database
• Hadoop Ecosystem
• Spark Processing
• Unstructured Data
• NLP Techniques
• Cloud Platforms