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For Companies At a Glance
- Tasks: Build scalable data pipelines and automate processes to support Visa's analytical work.
- Company: Join Visa, a global leader in payments technology with a mission to uplift everyone.
- Benefits: Gain valuable experience, work with cutting-edge tech, and enjoy a collaborative environment.
- Why this job: Make a real impact on data systems that power transactions worldwide.
- Qualifications: Must be graduating in 2025 or 2026 with strong Python and SQL skills.
- Other info: Dynamic role with opportunities for growth and collaboration across global teams.
The predicted salary is between 28000 - 35000 £ per year.
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
As a Data Engineering Graduate, you will play a key role in building the scalable data foundation that powers Visa’s analytical, data science, and product development work across Europe. Unlike traditional Data Science roles focused on modelling or insight generation, Data Engineering focuses on developing data pipelines, transforming large datasets, automating processes, and enabling teams to operate efficiently and at scale.
You’ll work closely with Data Engineers and Data Scientists to build repeatable, reusable, and automated data assets that support client projects across Europe. Much of the work is backend-focused, requiring strong coding foundations and an engineering-first mindset. While the role is not typically client-facing, strong communication is required to work effectively in a global team environment.
What You’ll Do
- Develop a deep understanding of Visa’s data ecosystem and how data is used across Data Science, Product, and Analytics teams.
- Build, test, and maintain ETL/ELT data pipelines using Python, SQL, Spark, and other big-data tools.
- Support the design and delivery of scalable, reusable data assets to be used repeatedly across client engagements.
- Automate and standardize backend data workflows to improve the reliability and consistency of data used by downstream teams.
- Work with large datasets, performing transformations and ensuring data quality, integrity, and accuracy.
- Collaborate with global Data Engineering teams (North America & other regions) on productionizing and maintaining key data assets.
- Participate in code reviews, contribute to technical documentation, and follow engineering best practices including Git-based version control and CI/CD.
- Troubleshoot data pipeline issues and assist with performance optimization.
Qualifications
- Permanent right to work in the UK. Please specify this on your CV.
- Graduating in 2025 or summer 2026 with a Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Mathematics, Engineering, or another technical field - ready to start the role in September 2026.
- Strong programming foundations in Python and SQL.
- Interest in backend engineering, data systems, and scalable data processing.
- Familiarity with at least one big-data or distributed computing framework (e.g., Spark, Hadoop, Hive).
- Strong analytical thinking and problem-solving skills.
- Ability to communicate clearly in English, both written and verbal.
Preferred Qualifications
- Experience or exposure to:
- Data pipeline development (ETL/ELT)
- Git or other version control systems
- Workflow orchestration tools (Airflow, Luigi, Prefect)
- Cloud platforms (AWS, GCP, Azure)
- Unix/Linux command line
- Interest in scaling data engineering processes and learning software engineering best practices.
- Ability to collaborate effectively with teammates across geographies.
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.
Data Engineering Graduate in London employer: Tink
Contact Detail:
Tink Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Graduate in London
✨Tip Number 1
Network like a pro! Reach out to current Visa employees on LinkedIn or at events. Ask them about their experiences and any tips they might have for landing a role in Data Engineering. Personal connections can make all the difference!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects, especially those involving Python, SQL, or big-data tools. This gives you a chance to demonstrate your coding chops and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering concepts and coding challenges. Practice explaining your thought process clearly, as communication is key in a global team environment like Visa's.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining Visa and making an impact in the world of payments technology.
We think you need these skills to ace Data Engineering Graduate in London
Some tips for your application 🫡
Show Your Passion for Data Engineering: When writing your application, let us see your enthusiasm for data engineering! Share any projects or experiences that highlight your coding skills in Python and SQL, and how you’ve tackled challenges in data processing. We love seeing candidates who are genuinely excited about the field!
Tailor Your CV to the Role: Make sure your CV is tailored specifically for the Data Engineering Graduate position. Highlight relevant coursework, projects, or internships that align with the job description. This helps us see how your background fits into our team and the work we do at Visa.
Be Clear and Concise: In your written application, clarity is key! Use straightforward language and avoid jargon unless it’s relevant. We want to understand your thought process and skills without getting lost in complicated terms. Remember, communication is important in our global team environment!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll find all the details you need about the application process right there!
How to prepare for a job interview at Tink
✨Know Your Data Inside Out
Before the interview, dive deep into Visa's data ecosystem. Understand how data flows through different teams and how it supports their work. This knowledge will not only impress your interviewers but also help you articulate how you can contribute to their data engineering efforts.
✨Show Off Your Coding Skills
Brush up on your Python and SQL skills, as these are crucial for the role. Be prepared to discuss your experience with ETL/ELT processes and even tackle a coding challenge during the interview. Practising common data manipulation tasks can give you the edge you need.
✨Communicate Like a Pro
Even though the role is backend-focused, strong communication is key. Practice explaining complex technical concepts in simple terms. This will demonstrate your ability to collaborate effectively with global teams and ensure everyone is on the same page.
✨Familiarise Yourself with Big Data Tools
Get comfortable with big-data frameworks like Spark or Hadoop. If you have any hands-on experience, be ready to share specific examples of how you've used these tools to solve problems or improve processes. This shows your proactive approach and readiness to tackle challenges at Visa.