Data Engineer

Visa; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

Visa is seeking a Data Engineer to design, build, and optimize data pipelines in a fintech environment. You will work hands-on with code, data, and cloud services to deliver scalable and secure solutions, collaborating with product, data science, and compliance teams.

Responsibilities include implementing components, writing tests, and automating data processing workflows in batch and real-time contexts, while upholding security and regulatory standards.

Qualifications

• Bachelor's degree or 3+ years of relevant work experience.
• Experience gathering requirements from stakeholders for data projects.
• Experience interpreting technical requirements and designing components under guidance.
• Experience coding across components following security standards.
• Experience in code reviews and applying feedback to improve quality.
• Experience in unit testing and supporting code testing in common environments.
• Experience developing automation for data transformation and management.
• Experience collaborating to extract and transform raw data.
• Experience reviewing and escalating data-pipeline alerts.
• Experience troubleshooting and resolving basic data engineering issues.

Responsibilities

• Attend meetings to learn data ecosystem requirements and security needs.
• Interpret requirements and design components with colleagues.
• Write code across assigned components following patterns and security standards.
• Participate in code reviews and apply feedback.
• Conduct unit testing and assist in testing in common environments.
• Develop tools and automation for data processing, in batches or real time.
• Collaborate to create queries and basic orchestration for data extraction.
• Review alerts and help maintain data pipelines.
• Troubleshoot and escalate complex issues when needed.

Skills

Stakeholder meetings

Requirements interpretation

Component design

Code reviews

Unit testing

Automation tooling

Data extraction & transformation

Data pipelines monitoring

Troubleshooting

Education

Bachelor's degree or 3+ years experience

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.

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 SummaryData 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 elevate 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.

Qualifications

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.