At a Glance
- Tasks: Build a cloud-native data platform for research and trading workflows.
- Company: Join a leading global investment firm in London.
- Benefits: Competitive salary, flexible working options, and career advancement opportunities.
- Other info: Collaborate with Quants in a fast-paced, innovative environment.
- Why this job: Make an impact by enhancing data environments in a dynamic trading setting.
- Qualifications: 5+ years in data platform development with strong Python and SQL skills.
The predicted salary is between 70000 - 90000 € per year.
Selby Jennings is seeking a Senior Data Engineer for their London office. This experienced engineer will build a cloud-native data platform that supports research and trading workflows in a leading global investment firm.
The ideal candidate will have over 5 years of experience in data platform development, strong Python and SQL skills, and familiarity with cloud environments like AWS. This role involves collaborating with Quants to enhance a pragmatic data environment.
Senior Data Engineer - Cloud Data Platform for Trading employer: Selby Jennings
At Selby Jennings, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. Located in the heart of London, our office offers a collaborative environment where innovative ideas are encouraged, and professional growth is supported through continuous learning opportunities. Join us to be part of a leading global investment firm that values your expertise and provides the tools you need to excel in your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Cloud Data Platform for Trading
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving cloud platforms like AWS. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨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 are proactive about their job search!
We think you need these skills to ace Senior Data Engineer - Cloud Data Platform for Trading
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data platform development, especially with Python and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about building cloud-native data platforms and how your experience can benefit our trading workflows. Let us know what excites you about this opportunity!
Showcase Collaboration Skills:Since this role involves working closely with Quants, make sure to mention any past experiences where you collaborated with different teams. We love seeing how you can enhance a pragmatic data environment through teamwork!
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Selby Jennings
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in cloud environments like AWS. This will show that you not only have the experience but can also apply it effectively.
✨Understand the Trading Workflow
Familiarise yourself with how data platforms support trading workflows. Research the company’s approach to trading and think about how your experience can enhance their processes. Being able to speak knowledgeably about this will impress the interviewers.
✨Collaboration is Key
Since this role involves working closely with Quants, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to achieve common goals, particularly in data-driven projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. It’s a great way to demonstrate your enthusiasm for the position.
