Senior Data Engineer

Visa

Singapore

On-site

SGD 120,000 - 180,000

Full time

12 days ago

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Job summary

Visa is building GenAI-powered platforms and applications within its Technology Organization. You will join a high-performing engineering team focused on AI-driven solutions and enterprise-scale systems.

Responsibilities span creating intelligent applications with large language models, integrating generative AI into platforms, building scalable, secure data-driven services, and enabling automation and developer productivity across the Visa tech ecosystem.

Qualifications

  • 2+ years of relevant work experience and a Bachelor's degree, OR 5+ years of relevant work experience.
  • Strong core programming skills in Java, Python, or similar languages.
  • Experience building and operating microservices-based architectures and APIs.
  • Experience working with real-time data streaming or event-driven systems.
  • Experience working with cross-functional teams to clarify requirements and define technical solutions.
  • Experience designing and documenting technical components for data platforms, services, or applications.
  • Experience writing production-grade code and applying coding standards, security practi

Responsibilities

  • Collaborate proactively with stakeholders to clarify requirements and identify key product stakeholders.
  • Review technical requirements, elevate potential design issues and create component designs and documentation.
  • Implement code, apply coding patterns and best practices, and adhere to security requirements.
  • Participate … (text truncated)

Skills

Java
Python
Microservices
APIs
Streaming data
Event-driven
Cross-functional teams
Data platform design
Production-grade coding
Security practices

Education

Bachelor's degree
Advanced degree (Masters, MBA, JD, MD)

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

Visa's Technology Organization is a community of problem solvers and innovators, reshaping the future of commerce. We operate one of the world's most advanced payment processing networks, enabling secure, reliable, and scalable transactions across millions of merchants, financial institutions, and consumers globally.

Our teams build and operate complex distributed systems at massive scale, solving challenges across payment flows, real-time data processing, cybersecurity, and next-generation digital platforms.

Within this, Value Added Services (VAS) - Digital Marketing is a key growth area for Visa, focused on building differentiated, data-driven solutions that extend the value of the Visa network beyond payments.

About the Team:

You will join a high-performing engineering team building GenAI-powered platforms and applications that enable innovation across Visa's technology ecosystem.

The team focuses on:
  • Developing intelligent, AI-driven applications powered by large language models
  • Integrating generative AI capabilities into enterprise platforms and workflows
  • Building scalable systems that combine AI, data, and distributed architectures
  • Enabling automation, developer productivity, and intelligent decision-making

While these capabilities rely on strong data foundations, the primary focus is on applying AI and generative AI to solve real-world business problems at scale, with enterprise-grade security and reliability.

Job Summary

Sr. Data Engineers are responsible for collaborating with stakeholders, including product teams, business partners, and cybersecurity, to identify and clarify requirements for data-driven features and products. They independently understand the data ecosystem, security, privacy, and retention requirements necessary to support business and product features. Sr. Data Engineers create and document technical designs for components, identify systems, architectures, tools, and storage needs, and present technical solutions to peers. They stay current with market trends and industry dynamics, applying this knowledge to drive innovation and ensure the safety and security of product components.

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:
  • Collaborate proactively with stakeholders to clarify requirements and identify key product stakeholders.
  • Review technical requirements, elevate potential design issues and create component designs and documentation.
  • Implement code, apply coding patterns and best practices, and adhere to security requirements.
  • Participate … (text truncated)

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications
Basic Qualifications:
  • 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
Preferred Qualifications:
  • 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
  • Strong core programming skills in Java, Python, or similar languages
  • Experience building and operating microservices-based architectures and APIs
  • Experience working with real-time data streaming or event-driven systems
  • Experience working with cross-functional teams to clarify requirements and define technical solutions
  • Experience designing and documenting technical components for data platforms, services, or applications
  • Experience writing production-grade code and applying coding standards, security practi
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