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- Tasks: Build data pipelines and support analytics workflows in a collaborative setting.
- Company: Global data and analytics provider based in Greater London.
- Benefits: Gain hands-on experience, mentorship from experts, and enhance your skills.
- Why this job: Join a dynamic team and make an impact in the world of data.
- Qualifications: Bachelor's degree in a related field required.
- Other info: Internship runs from June 15 to August 21, 2026.
The predicted salary is between 500 - 1500 £ per month.
A global data and analytics provider in Greater London is seeking a Data Engineer Intern to assist with building data pipelines and supporting analytics workflows. Successful candidates will contribute to designing scalable data architectures in a collaborative environment, gain hands-on experience with experienced engineers, and enhance their skills in data processing.
The internship runs from June 15 to August 21, 2026, and requires a bachelor's degree in a related field.
Data Engineer Intern — Build Pipelines & AI Data employer: S&P Global
Contact Detail:
S&P Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Intern — Build Pipelines & AI Data
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn and ask about their experiences. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Practice coding challenges and be ready to discuss data pipelines and analytics workflows. We want you to shine!
✨Tip Number 3
Show your passion for data! Bring examples of projects you've worked on, even if they're personal or academic. This will demonstrate your enthusiasm and commitment to the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer Intern — Build Pipelines & AI Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Data Engineer Intern role. We want to see how your background fits into building data pipelines and supporting analytics workflows.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. We love seeing enthusiasm and a bit of personality!
Showcase Your Projects: If you've worked on any projects related to data processing or building data architectures, be sure to mention them. We’re keen to see your hands-on experience and how you’ve tackled real-world problems.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at S&P Global
✨Know Your Data Basics
Brush up on your understanding of data pipelines and architectures. Be ready to discuss concepts like ETL (Extract, Transform, Load) and how they apply to real-world scenarios. This shows you’re not just familiar with the theory but can also think practically.
✨Showcase Your Projects
If you've worked on any relevant projects, whether in class or on your own, be prepared to talk about them. Highlight your role, the technologies you used, and the outcomes. This gives the interviewers a glimpse of your hands-on experience and problem-solving skills.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company’s data practices or the team you'll be working with. This demonstrates your genuine interest in the role and helps you understand if it’s the right fit for you.
✨Practice Collaborative Scenarios
Since the role involves working in a collaborative environment, think of examples where you’ve successfully worked in a team. Be ready to discuss how you handle feedback and contribute to group projects, as this will be key in your internship.