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- Tasks: Build scalable data foundations and automate processes with global teams.
- Company: Leading payments technology company in Greater London.
- Benefits: Hybrid work model, competitive salary, and opportunities for growth.
- Why this job: Join a dynamic team and make an impact in the world of data.
- Qualifications: Technical degree, strong Python and SQL skills, and interest in data systems.
- Other info: Office presence required 3 days a week for collaboration.
The predicted salary is between 28800 - 48000 £ per year.
A leading payments technology company in Greater London is seeking a Data Engineering Graduate to build scalable data foundations. You will collaborate with global teams to automate processes, develop ETL/ELT pipelines, and ensure data quality.
Ideal candidates should graduate by 2026 with a technical degree, possess strong skills in Python and SQL, and have an interest in data systems. This hybrid role requires office presence for 3 days a week.
Graduate Data Engineer: ETL Pipelines & Big Data employer: Tink
Contact Detail:
Tink 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 projects, especially those involving ETL pipelines or big data. This gives potential employers a taste of what you can do.
✨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. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Graduate Data Engineer: ETL Pipelines & Big Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your technical skills, especially in Python and SQL. We want to see how your experiences align with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for data engineering and how you can contribute to our team. We love seeing candidates who are genuinely excited about the role and the company.
Showcase Your Projects: If you've worked on any data-related projects, whether in university or on your own, make sure to mention them. We’re keen to see your hands-on experience with ETL pipelines or any big data technologies you've dabbled in!
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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Tink
✨Know Your Tech Inside Out
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 projects or coursework, and think of specific examples where you've built or optimised ETL pipelines.
✨Understand the Company’s Data Needs
Research the payments technology company and understand their data challenges. Familiarise yourself with their products and how data plays a role in their operations. This will help you tailor your answers and show that you're genuinely interested in their work.
✨Prepare for Technical Questions
Expect technical questions related to data engineering concepts, ETL processes, and big data technologies. Practise explaining complex ideas simply, as you may need to demonstrate your understanding to non-technical team members.
✨Show Your Collaborative Spirit
Since this role involves working with global teams, be prepared to discuss your teamwork experiences. Share examples of how you've collaborated on projects, resolved conflicts, or contributed to group success, highlighting your ability to work well in a hybrid environment.
