Data Engineer

Engg; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Visa is seeking a Data Engineer in Singapore to design, build, and optimize data platforms powering secure fintech solutions. You will code hands-on with data and modern tools—AI-assisted development, cloud services, and automation—while aligning with product, security, and regulatory requirements.

Collaborate with product managers, designers, data scientists, QA, operations, and compliance to translate business needs into robust data pipelines, maintain data quality, and support real-time

Qualifications

• Bachelor's degree or 3+ years of relevant work experience in data engineering.
• Experience gathering requirements from stakeholders for data projects.
• Experience interpreting requirements and executing designs under guidance.
• Experience coding across components with security in mind.
• Experience in code reviews and feedback.

Responsibilities

• Attend meetings with stakeholders to learn requirements and data needs.
• Design and implement data components following standards and security.
• Develop code across components with best practices and security checks.
• Participate in code reviews to improve quality.
• Conduct unit testing and support testing in shared environments.
• Develop tools and automation for batch and real-time data processes.
• Collaborate to create data extraction queries and simple orchestration.
• Monitor data pipelines, escalate alerts, and implement basic fixes.

Skills

Data engineering

Stakeholder meetings

Code development

Unit testing

Data transformation

Education

Bachelor's degree

Tools

Cloud services

Automation frameworks

AI-assisted development

SQL/ETL

Job description

About Us

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Job Description

Job Summary

Data Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend a majority of their time coding, working hands-on with code, data, and modern tools—including AI-assisted development, cloud services, and automation frameworks—to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross-functional teams such as product managers, designers, data scientists, QA, operations, and compliance to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.

Key Responsibilities

• Attend meetings with stakeholders to learn about requirements and understand data ecosystem, security, privacy, and retention needs for business and product features.
• Interpret technical requirements provided by senior engineers and execute component designs, documenting module design and identifying systems, architectures, tools, and storage needs.
• Create and implement code across assigned components, applying coding patterns, guidelines, styles, and best practices while adhering to all security requirements.
• Participate in code review processes for self-development, gather feedback, and apply changes to owned aspects of code or design.
• Conduct unit testing to confirm functional capability of code, perform tests for coding standards and security scans, and support testing code for one component in a common testing environment.
• Contribute to the development of tools and automation processes that assist in transforming, managing, accessing, deploying, and monitoring data processes in batches and/or real time.
• Collaborate with team members to create queries to extract and compile raw data, contribute to basic orchestration techniques that automate data extraction logic, and apply basic modification techniques to transform raw data for downstream sources.
• Review and elevation alerts to maintain a data pipeline, assist with investigations to identify reasons for alerts, and implement basic solutions to minimize failures.
• Follow troubleshooting guidance for reviewing, addressing, and fixing basic problems/anomalies flagged by testing, and elevate complex issues when supporting platforms.

Basic Qualifications

• Bachelor's degree, OR 3+ years of relevant work experience.
• Experience in attending stakeholder meetings to gather requirements for data engineering projects.
• Experience in interpreting technical requirements and executing component designs under guidance.
• Experience in creating and implementing code across assigned components, following coding standards and security requirements.
• Experience in participating in code review processes and applying feedback to improve code quality.
• Experience in conducting unit testing and supporting code testing in common environments.
• Experience in developing tools and automation processes for data transformation and management.
• Experience in collaborating with team members to extract, compile, and transform raw data.
• Experience in reviewing and escalating alerts to maintain data pipelines.
• Experience in troubleshooting and resolving basic issues in data engineering environments.

Preferred Qualifications

• 2 or more years of work experience.
• Experience in contributing to the development of orchestration techniques for automating data extraction logic.
• Experience in applying modification techniques to transform raw data for compatibility with downstream sources.
• Experience in assisting with investigations to identify reasons for pipeline alerts and implementing solutions.
• Experience in following troubleshooting guidance to address and fix anomalies flagged by testing.

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.