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- Tasks: Build ETL pipelines and manage production services for a cutting-edge data science platform.
- Company: Global leader in electronic trading with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the world of multi-asset trading.
- Qualifications: 3+ years in Data Platform Engineering, strong Python skills, and SQL database experience.
The predicted salary is between 36000 - 60000 £ per year.
A global leader in electronic trading is seeking a skilled Data Platform Engineer to enhance their data science platform. The role involves building ETL pipelines, managing production services, and utilizing technologies like AWS and Kafka.
Ideal candidates have over 3 years in Data Platform Engineering, strong Python knowledge, and experience with SQL databases. This position offers a chance to work with multi-asset trading, fostering an innovative environment.
Data Platform Engineer: Cloud ETL & Analytics employer: Tradeweb
Contact Detail:
Tradeweb Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer: Cloud ETL & Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data platforms. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines and any projects using AWS or Kafka. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and SQL. Practice coding challenges and be ready to discuss your past projects in detail. We want you to shine when it comes to demonstrating your expertise!
✨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 Data Platform Engineer: Cloud ETL & Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ETL pipelines, AWS, and Kafka. We want to see how your skills align with the role, so don’t be shy about showcasing your Python prowess and SQL database experience!
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 innovative environment. Let us know what excites you about working in multi-asset trading.
Showcase Relevant Projects: If you've worked on any projects that involved building data platforms or managing production services, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your work!
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 shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Tradeweb
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS and Kafka. Brush up on your Python skills and be ready to discuss how you've used SQL databases in past projects.
✨Showcase Your ETL Experience
Prepare specific examples of ETL pipelines you've built or managed. Be ready to explain the challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and hands-on experience.
✨Understand the Trading Environment
Familiarise yourself with multi-asset trading concepts. Showing that you understand the industry will not only impress your interviewers but also help you relate your technical skills to their business needs.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data science platform and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.