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- Tasks: Build scalable data pipelines and transform large datasets using Python and SQL.
- Company: Global payments technology leader based in Greater London.
- Benefits: Hybrid work model, essential skill development, and dynamic work environment.
- Why this job: Kickstart your career in data engineering with real-world impact and growth opportunities.
- Qualifications: Graduates in Computer Science or related fields with strong Python and SQL skills.
- Other info: Join a vibrant team and enhance your data engineering expertise.
The predicted salary is between 28800 - 48000 £ per year.
A global payments technology leader in Greater London seeks a Data Engineering Graduate to build scalable data pipelines and transform large datasets. This role focuses on backend engineering, requiring strong skills in Python and SQL. Graduates in Computer Science or related fields, ready to start in September 2026, are encouraged to apply. The position is hybrid, requiring 3 days in-office work each week, offering a great opportunity to develop essential data engineering skills in a dynamic environment.
Graduate Data Engineer: ETL Pipelines & Big Data employer: Visa
Contact Detail:
Visa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Engineer: ETL Pipelines & Big Data
✨Tip Number 1
Network like a pro! Reach out to alumni or professionals in the data engineering field. A friendly chat can lead to valuable insights and even job referrals.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python and SQL projects. This is a great way to demonstrate your capabilities to potential employers.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed, and you’ll find all the latest opportunities right there.
We think you need these skills to ace Graduate Data Engineer: ETL Pipelines & Big Data
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you can use these tools to build scalable data pipelines, so don’t hold back on showcasing your projects or relevant coursework!
Tailor Your CV: Customise your CV to match the job description. We love seeing candidates who take the time to align their experiences with what we’re looking for, especially in backend engineering and data transformation.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re passionate about data engineering. Share your enthusiasm for working with large datasets and how you envision contributing to our team at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to kickstart your career in data engineering!
How to prepare for a job interview at Visa
✨Know Your Tech
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these languages in your projects or studies, as they'll want to see your technical prowess.
✨Understand ETL Processes
Familiarise yourself with ETL (Extract, Transform, Load) processes. Be prepared to explain how you would approach building scalable data pipelines and transforming large datasets, as this is a key part of the role.
✨Show Your Problem-Solving Skills
Data engineering often involves troubleshooting and optimising systems. Think of examples where you've solved complex problems, and be ready to share your thought process during the interview.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data infrastructure and the team you'll be working with. This shows your genuine interest in the role and helps you understand if it's the right fit for you.
