Data Pipeline Engineer Intern — Hybrid, London
Data Pipeline Engineer Intern — Hybrid, London

Data Pipeline Engineer Intern — Hybrid, London

London Full-Time 20000 - 30000 £ / year (est.) No home office possible
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Cboe Global Markets

At a Glance

  • Tasks: Design and support data-driven systems in a dynamic fintech environment.
  • Company: Leading financial technology firm based in London.
  • Benefits: Competitive benefits, well-being programme, and free office meals.
  • Why this job: Gain hands-on experience in data engineering while working in a hybrid model.
  • Qualifications: Pursuing a degree in Computer Science with skills in Python and SQL.
  • Other info: Enjoy a collaborative atmosphere with opportunities for personal growth.

The predicted salary is between 20000 - 30000 £ per year.

A leading financial technology firm in London is seeking individuals for a data engineering position focused on designing and supporting data-driven systems.

Candidates should be pursuing a degree in Computer Science or a related field, possess strong knowledge of algorithms, and have skills in Python and SQL.

The role involves a hybrid work model with three days in the office, offering competitive benefits including a well-being program and free office meals.

Data Pipeline Engineer Intern — Hybrid, London employer: Cboe Global Markets

As a leading financial technology firm in London, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our hybrid work model allows for flexibility while our competitive benefits, including a well-being programme and complimentary office meals, ensure that our employees feel valued and supported. We are committed to the growth of our team members, providing ample opportunities for professional development in a thriving industry.
Cboe Global Markets

Contact Detail:

Cboe Global Markets Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Pipeline Engineer Intern — Hybrid, London

Tip Number 1

Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!

Tip Number 2

Prepare for the technical interview by brushing up on your Python and SQL skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable with coding challenges.

Tip Number 3

Showcase your passion for data engineering! During interviews, share any personal projects or coursework that highlight your skills in algorithms and data systems. It’s all about demonstrating what you can bring to the table.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!

We think you need these skills to ace Data Pipeline Engineer Intern — Hybrid, London

Data Engineering
Algorithms
Python
SQL
Hybrid Work Model
Problem-Solving Skills
Attention to Detail
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your skills in Python, SQL, and algorithms. We want to see how your experience aligns with the data engineering 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 explain why you’re passionate about data engineering and how you can contribute to our team. Keep it concise but engaging – we love a good story!

Showcase Your Projects: If you've worked on any data-driven projects, make sure to mention them! Whether it's a university project or something personal, we want to see your hands-on experience and problem-solving skills in action.

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 a few clicks and you’re done!

How to prepare for a job interview at Cboe Global Markets

Know Your Algorithms

Brush up on your algorithms knowledge before the interview. Be ready to discuss how you’ve applied them in your projects or coursework, as this is crucial for a data engineering role.

Show Off Your Python and SQL Skills

Prepare to demonstrate your proficiency in Python and SQL. You might be asked to solve a problem on the spot, so practice coding challenges that involve data manipulation and querying.

Understand the Company’s Data Needs

Research the financial technology firm and understand their data-driven systems. Knowing their products and how they use data can help you tailor your answers and show genuine interest.

Ask Insightful Questions

Prepare thoughtful questions about the team, projects, and the hybrid work model. This shows you’re engaged and helps you determine if the company culture aligns with your values.

Data Pipeline Engineer Intern — Hybrid, London
Cboe Global Markets
Location: London
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