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- Tasks: Join our Data Pipeline Engineering Team to design and develop innovative data systems.
- Company: Cboe, a global leader in trading technology and services.
- Benefits: Enjoy free lunches, snacks, and a supportive Employee Assistance Programme.
- Why this job: Gain hands-on experience in a dynamic environment while working with cutting-edge technology.
- Qualifications: Pursuing a degree in Computer Science; knowledge of Python and SQL is a plus.
- Other info: Hybrid work model with opportunities for personal and professional growth.
The predicted salary is between 20000 - 30000 £ per year.
About us: At Cboe, we lead the industry globally in tradable products and services. We are committed to developing innovative products, delivering unparalleled service, and offering cutting-edge trading technology. We embrace a collaborative, team spirit. Everyone has something to contribute, and we believe in celebrating our success with one another.
Location: Hybrid (3 days in office)
Data Pipeline Engineering Team, What We Do: We design, develop, deploy, and support data driven batch and streaming systems supporting the largest pan-European stock exchange by market share. We store every order, cancel, and execution with care. We architect systems managing hundreds of millions of events per day. We optimize for scalability, resiliency and performance. We live and breathe automation. We are analytical thinkers. We are always learning our craft. If it’s broken, we fix it. If it needs refactoring, we refactor it. If it’s hard to test, we make it testable. We are pragmatic. We ship code weekly. We’re looking for like-minded individuals to join us.
Requirements:
- Pursuing bachelor’s degree or equivalent in Computer Science or related field preferred.
- Strong knowledge of software engineering data structures and algorithms.
- Experience with Python or experience in another language with a strong desire to learn Python.
- Experience with Linux or UNIX-like systems and knowledge of at least one scripting language.
- Experience with SQL/relational databases desirable.
- Self-directed and motivated with a clear idea of what you hope to gain from the experience.
- Comfortable tackling unfamiliar tasks and learning through hands-on experience.
- Able to commute to London office location regularly (hybrid work schedule).
Benefits and Perks:
- Employee Assistance Programme with Headspace - This service intends to help associates deal with personal problems that might adversely impact their work performance, health and well-being.
- 2 days holiday per month.
- Free lunch, snacks and drinks in the office.
Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes.
Intern - DPE in London employer: Cboe Global Markets, Inc.
Contact Detail:
Cboe Global Markets, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Intern - DPE in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn, especially those in the Data Pipeline Engineering Team. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project that showcases your coding chops, make sure to mention it during interviews. We love seeing practical examples of your work!
✨Tip Number 3
Prepare for technical questions! Brush up on your data structures and algorithms, and be ready to tackle some coding challenges. We want to see how you think and solve problems on the spot.
✨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, it shows you’re serious about joining our innovative team at Cboe.
We think you need these skills to ace Intern - DPE in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let us see your enthusiasm for the role and the industry. Share why you're excited about data engineering and how you can contribute to our innovative culture at Cboe.
Tailor Your CV: Make sure your CV is tailored to the job description. Highlight your experience with Python, Linux, and any relevant projects that showcase your skills in software engineering and data structures.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us your story. Explain what you hope to gain from this internship and how it aligns with your career goals. Be genuine and let your personality shine through!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re proactive and keen to join our team!
How to prepare for a job interview at Cboe Global Markets, Inc.
✨Know Your Stuff
Make sure you brush up on your knowledge of data structures and algorithms. Since the role involves software engineering, be prepared to discuss how you've applied these concepts in your projects or studies. It’s a great way to show your analytical thinking skills!
✨Show Your Passion for Python
If you have experience with Python, be ready to talk about it! If not, express your eagerness to learn. Mention any relevant projects or coursework that demonstrate your coding skills and your willingness to dive into new languages.
✨Familiarise Yourself with Linux
Since the team works with Linux or UNIX-like systems, it’s beneficial to have a basic understanding of these environments. Brush up on common commands and tools, and be ready to discuss how you’ve used them in your previous experiences.
✨Ask Insightful Questions
Prepare some thoughtful questions about the Data Pipeline Engineering Team and their projects. This shows your genuine interest in the role and helps you understand if the company culture aligns with your values. Plus, it’s a great way to engage with your interviewers!