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- Tasks: Design and evolve a scalable data platform while automating workflows.
- Company: Leading hedge fund in London with a focus on innovation.
- Benefits: Market-leading salary, dynamic environment, and performance-driven culture.
- Why this job: Join a talented team and work with advanced technologies like Python and AWS.
- Qualifications: Experience in Python, SQL, and data processing is essential.
- Other info: Great opportunity for career growth in a fast-paced industry.
The predicted salary is between 43200 - 72000 £ per year.
A leading hedge fund in London is seeking a talented engineer to join their data team. In this role, you will design and evolve a scalable data platform, automate ETL/ELT workflows, and optimize data processing performance. Collaborating closely with quant PMs and researchers, you will work with advanced technologies such as Python, SQL, and AWS.
This opportunity offers competitive, market-leading salaries for the right profile in a dynamic and performance-focused environment.
Data Platform Engineer - Quant Hedge Fund (Python, AWS) employer: Paragon Alpha - Hedge Fund Talent Business
Contact Detail:
Paragon Alpha - Hedge Fund Talent Business Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer - Quant Hedge Fund (Python, AWS)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at hedge funds or in data roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and AWS. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding data structures. Practice common interview questions related to data platforms and ETL processes to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Platform Engineer - Quant Hedge Fund (Python, AWS)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and AWS. We want to see how your skills align with the role of a Data Platform Engineer, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for the position and the company.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex data challenges. We’re looking for engineers who can think critically and innovate, so share those success stories that demonstrate your problem-solving prowess!
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 us you’re keen on joining our team!
How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and AWS. Brush up on your knowledge of these technologies, as you’ll likely be asked to demonstrate your understanding of how they can be used to design and optimise data platforms.
✨Understand the Business
Familiarise yourself with the hedge fund industry and how data plays a role in quant strategies. Being able to discuss how your work can impact trading decisions will show that you’re not just a techie but also understand the bigger picture.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills. Practice coding challenges and think through how you would approach automating ETL/ELT workflows or optimising data processing performance in real-world scenarios.
✨Show Your Collaborative Spirit
Since you’ll be working closely with quant PMs and researchers, highlight your teamwork skills. Be ready to share examples of past collaborations and how you’ve effectively communicated complex technical concepts to non-technical stakeholders.
