About Us

Help us enable everyone on the planet to gain access to the global economy by being the best way to pay and be paid.

Size: 10000+ employees
Industry: Technology, Fintech, Engineering, Information Technology

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Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

What it's all about -

The Payments Foundation Models team is a new, high-impact initiative within Visa’s Data Science organization. Based in Cambridge, UK, and working closely with global Visa engineering and product teams, the group’s mission is to build the next generation of payments-focused foundation AI models. These models will power a range of premium Risk and Identity Solutions (RaIS) products, such as fraud scores, with the goal of generating more than 100M dollars in new revenue by FY2030, and may be extended into other domains such as credit risk modelling or agentic commerce personalization.

As Senior Consultant Data Engineer you will design, build, optimize, and maintain data tooling and pipelines that power the development and deployment of Visa’s Large Transaction Models. You will:

• Design and develop high-performance data pipelines and tooling to support Large Transaction Model training and analysis at global scale.
• Provide technical leadership for your fellow engineers, data scientists and product managers within your Agile Team, and liaise with contributors from other technology and product teams across Visa.
• This is a hands-on technical role in the Individual Contributor track at the Senior Consultant or Senior Manager level, with significant scope to influence engineering standards and practices while working on high-impact, Visa-scale systems.

Key Responsibilities:

• Design and develop high-performance data pipelines and tooling to support Large Transaction Model training and analysis at global scale.
• Optimize Spark pipelines and workflows for speed and efficiency across Visa’s evolving data warehousing and data analytics infrastructure.
• Provide technical leadership and guidance to other members of the agile team, working with cross-functional stakeholders to align technical solutions with product goals.
• Collaborate with data scientists to build production tooling and pipelines for training Py Torch-based machine learning models.
• Ensure data systems meet Visa’s standards for security, reliability, scalability, and compliance.
• Mentor junior engineers and contribute to Visa’s software engineering best practices.
• Liaise with global technology and product teams to share tools, patterns, and innovations.
• Drive continuous improvement of team processes and shared workflows.

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This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. ​

Qualifications

Must haves:

• Academic background to at least undergraduate level in a relevant discipline, e.g., Computer Science, Mathematics, Physics, or Engineering- Minimum 5 years experience in collaborative software engineering roles- Mastery of Apache Spark in large scale, distributed computing environments- Proven track record of optimizing Spark queries for performance at scale- Experience with Hadoop managing large-scale data sets- Familiarity with typical patterns and trade offs in columnar file formats (eg: Parquet), open table formats (eg: iceberg) and analytical query engines- Experience building and maintaining machine learning pipelines- Familiarity with modern software engineering principles and practices (e.g. agile, clean code, IDEs, source control, testing, code review)- Familiarity with Py Torch models and their integration into production systems- Proficiency with data workflow orchestration tools (e.g., Airflow, Luigi, or equivalent)- Strong programming skills in Python- Familiarity with a systems programming language (eg: C++ or Rust)- Exposure to MLOps practices and tools.

Great to haves:

• Background in payments or financial services data engineering- Familiarity with inference optimizations for deep learning models- Experience with Click house- Experience with cloud-based big data platforms (e.g., AWS EMR, GCP Dataproc, Azure HDInsight , Databricks)- Experience working in Agile or Scrum environments and communicating with non-technical stakeholders- Experience in a technical leadership or management role

Additional Information

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.

Client-provided location(s): Cambridge, United Kingdom

Job ID: c40d9a49-38e5-4ce1-ad75-5f63342dd9fa

Employment Type: OTHER

Posted: 2026-01-26T22:29:32
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Perks and Benefits

Health and Wellness

• Long-Term Disability
• HSA With Employer Contribution
• On-Site Gym
• Health Insurance
• Dental Insurance
• Vision Insurance
• Life Insurance
• Short-Term Disability
• Health Reimbursement Account
• Mental Health Benefits
• Virtual Fitness Classes
• HSA

Parental Benefits

• Fertility Benefits
• Family Support Resources
• Birth Parent or Maternity Leave
• Non-Birth Parent or Paternity Leave

Work Flexibility

• Flexible Work Hours
• Remote Work Opportunities
• Hybrid Work Opportunities

Office Life and Perks

• Commuter Benefits Program
• Company Outings
• On-Site Cafeteria
• Holiday Events
• Happy Hours
• Casual Dress

Vacation and Time Off

• Paid Holidays
• Paid Vacation
• Volunteer Time Off
• Summer Fridays
• Leave of Absence
• Personal/Sick Days

Financial and Retirement

• 401(K)
• Relocation Assistance
• Performance Bonus
• Stock Purchase Program
• Company Equity
• 401(K) With Company Matching
• Financial Counseling

Professional Development

• Shadowing Opportunities
• Access to Online Courses
• Promote From Within
• Learning and Development Stipend
• Tuition Reimbursement
• Mentor Program
• Leadership Training Program
• Associate or Rotational Training Program
• Lunch and Learns
• Internship Program
• Professional Coaching

Diversity and Inclusion

• Diversity, Equity, and Inclusion Program
• Employee Resource Groups (ERG)

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