At a Glance
- Tasks: Build innovative data products and integrate AI into existing functionalities.
- Company: Euronext, a leading financial market company in Greater London.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Exciting opportunity to work with AI and analytics in a dynamic team.
- Why this job: Join a fast-paced environment and drive impactful solutions with cutting-edge technology.
- Qualifications: Bachelor’s or Master’s in Computer Science and 3 years of relevant experience.
The predicted salary is between 50000 - 60000 € per year.
Euronext is seeking a Data Product Developer in Greater London. In this role, you'll build new data products, integrating AI into existing functionalities.
The ideal candidate must possess a Bachelor’s or Master’s degree in Computer Science or related field, with at least 3 years of relevant experience. Strong skills in Python, data structures, and statistical analysis are essential.
Join us to drive innovative solutions in a fast-paced environment.
Data Product Engineer AI and Analytics Platform employer: Euronext
Euronext is an exceptional employer that fosters a dynamic and innovative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and collaboration on cutting-edge AI projects. Join us to be part of a forward-thinking team that values creativity and rewards your contributions in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Engineer AI and Analytics Platform
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with Euronext employees on LinkedIn. You never know who might give you a heads-up about an opportunity or refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data products or projects that highlight your Python prowess and analytical skills. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on common technical questions related to data structures and statistical analysis. We recommend practising coding challenges to keep your skills sharp and ready for any technical assessments.
✨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 at Euronext. Plus, it shows you’re genuinely interested in joining their team.
We think you need these skills to ace Data Product Engineer AI and Analytics Platform
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, data structures, and statistical analysis. We want to see how your skills align with the role of Data Product Developer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about integrating AI into data products and how your background makes you a perfect fit for our team. Let us know what drives you!
Showcase Your Projects:If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from your previous job, we love seeing practical applications of your 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 Euronext
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and understand data structures thoroughly. Be ready to discuss how you've used these in past projects, as well as any statistical analysis techniques you've applied. This will show that you're not just familiar with the tools, but that you can leverage them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Euronext is looking for someone who can drive innovative solutions, so think of examples where you've integrated AI into existing functionalities or developed new data products.
✨Research Euronext and Its Products
Familiarise yourself with Euronext's current data products and any recent developments in their AI initiatives. This knowledge will help you tailor your answers and demonstrate your genuine interest in the company and its mission.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the role and the team you'll be working with. This shows that you're engaged and serious about the position. Consider asking about the challenges the team is currently facing or how they envision the integration of AI evolving in their products.
