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For Companies At a Glance
- Tasks: Design processes for data extraction and transformation while collaborating with teams and clients.
- Company: Leading financial services company in Greater London with a focus on innovation.
- Benefits: Gain real-world consulting experience and enhance your career prospects.
- Why this job: Perfect for final year students or recent grads passionate about data.
- Qualifications: Ideal for computer science students with strong communication skills.
The predicted salary is between 28800 - 43200 £ per year.
A leading financial services company in Greater London is seeking a Data Engineer I to bridge client data and software solutions. In this role, you will design processes for large data extraction and transformation while working cross-functionally with teams and clients.
Ideal candidates are final year computer science students or recent graduates with a passion for data and strong communication skills. This is a great opportunity to enhance your career with real-world consulting experience.
Data Engineer I: Launch Graduate Program employer: MasterCard
Contact Detail:
MasterCard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer I: Launch Graduate Program
✨Tip Number 1
Network like a pro! Reach out to alumni or professionals in the financial services sector. A friendly chat can open doors and give you insights that might just land you that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects. Whether it's a cool data visualisation or a transformation process, having something tangible to discuss can really impress during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data roles. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
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 Data Engineer I: Launch Graduate Program
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Engineer I role. Highlight any relevant projects or coursework that showcase your passion for data and your ability to work cross-functionally.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this opportunity. Share your journey in computer science and how it has prepared you for a role in data engineering. Be genuine and let your personality shine through!
Showcase Your Communication Skills: Since strong communication is key for this role, make sure to demonstrate your ability to convey complex ideas clearly in your application. Whether it's through your CV or cover letter, clarity and conciseness will impress us.
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 Data Engineer I position. Plus, it’s super easy!
How to prepare for a job interview at MasterCard
✨Know Your Data
Make sure you brush up on your data engineering concepts, especially around data extraction and transformation. Be ready to discuss any relevant projects or coursework that showcase your skills in handling large datasets.
✨Communicate Clearly
Since strong communication skills are key for this role, practice explaining complex data concepts in simple terms. Think about how you would describe your past experiences to someone without a technical background.
✨Research the Company
Familiarise yourself with the financial services company’s mission and values. Understanding their approach to client data and software solutions will help you tailor your answers and show that you’re genuinely interested in the role.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. This could be about the team dynamics, the tools they use for data processing, or how they measure success in this role. It shows your enthusiasm and helps you gauge if it’s the right fit for you.
