Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop processes to manage massive data sets for impactful client projects.
- Company: Join Mastercard, a leader in innovative financial technology.
- Benefits: Gain hands-on experience, mentorship, and opportunities for rapid career growth.
- Why this job: Make a real difference by solving big data challenges across diverse industries.
- Qualifications: Final year Computer Science student with a passion for data and problem-solving.
- Other info: Collaborate with talented peers and enjoy creative freedom in a dynamic environment.
The predicted salary is between 28800 - 48000 £ per year.
Be part of the Services within Mastercard team as a Data Engineer I. Data Engineers are fundamental to the success of our client engagements by acting as the bridge between raw client data and Mastercard's software. Data Engineers work closely with both Consultants while working on consulting engagements and Software Development Engineers while working to develop internal capabilities.
Data Engineers are responsible for:
- Designing processes to extract, transform, and load (ETL) terabytes of data into Mastercard's analytics platform
- Sourcing data from clients, government and other third-party data sources, and Mastercard's transaction data warehouse
- Working across multiple teams, both internal and external, in order to determine the data requirements and business logic applicable to each data set
- Tackling big data problems across various industries
First-year experiences:
- Strategic problem solving with exceptional peers who are also passionate about data
- Creative freedom to innovate with new technologies and to explore a variety of solutions
- Staffing on external-facing consulting projects where you will have the opportunity to work directly with clients
- Flexibility to work on many new and challenging projects across diverse industries
- A dynamic environment where you will have an impact and make an immediate difference
- An immediate opportunity for increased responsibility, leadership, and professional growth
- Committed mentoring and training by an experienced and driven leadership team
- Cross-functional collaboration with others throughout Mastercard
Non-negotiable requirements:
- To be available to start from 1st September 2026
- To be a Final Year Undergraduate/Masters Computer Science student or to have graduated no earlier than September 2025
About You:
- Currently enrolled in your final year of a bachelor’s or accelerated master’s program with an established history of academic success
- Desire to work with data and help businesses make better data-driven decisions
- Excellent written and verbal communication skills
- Strong troubleshooting and problem solving capabilities
- Demonstrated analytical and quantitative skills
Helpful skills (not required):
- Understanding of relational databases, SQL, and ETL Processes
- Hands-on experience with the ETL process, SQL, and SSIS
- Knowledge of at least one programming language
Corporate Security Responsibility:
- Abide by Mastercard’s security policies and practices
- Ensure the confidentiality and integrity of the information being accessed
- Report any suspected information security violation or breach
- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Data Engineering, Launch Graduate Program 2026 - London, UK employer: MasterCard
Contact Detail:
MasterCard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering, Launch Graduate Program 2026 - London, UK
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Mastercard on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the Data Engineering team.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills, especially around SQL and ETL processes. Practise common interview questions and think of examples that showcase your problem-solving abilities.
✨Tip Number 3
Show your passion for data! During interviews, share your projects or experiences that highlight your analytical skills. Let them know how you can help businesses make better data-driven decisions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Mastercard team.
We think you need these skills to ace Data Engineering, Launch Graduate Program 2026 - London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineering role. Highlight your relevant skills, especially in data handling and problem-solving. We want to see how your experiences align with what we do at Mastercard!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how you can contribute to our team. Be genuine and let your personality come through – we love that!
Showcase Your Projects: If you've worked on any projects related to data engineering, make sure to mention them! Whether it's coursework, internships, or personal projects, we want to see how you've applied your skills in real-world scenarios.
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, it’s super easy – just follow the prompts!
How to prepare for a job interview at MasterCard
✨Know Your Data
Make sure you brush up on your understanding of data engineering concepts, especially ETL processes and SQL. Familiarise yourself with how data flows from raw sources to analytics platforms, as this will be crucial in demonstrating your knowledge during the interview.
✨Showcase Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data problems. Think about challenges you've faced in projects or coursework and how you approached them. This will highlight your analytical skills and ability to think critically under pressure.
✨Communicate Clearly
Since you'll be working closely with consultants and other teams, practice articulating your thoughts clearly and concisely. Use examples to explain your ideas, and don’t shy away from asking clarifying questions if something isn’t clear during the interview.
✨Research Mastercard
Get to know Mastercard’s business model, their approach to data, and recent projects they've undertaken. This will not only help you understand their needs but also allow you to tailor your responses to show how you can contribute to their goals.
