At a Glance
- Tasks: Design and evolve a scalable data platform while automating ETL/ELT workflows.
- Company: Leading hedge fund in Greater London with a focus on innovation.
- Benefits: Market-leading salary, hybrid work model, and collaboration with quant PMs.
- Why this job: Join a dynamic team and make an impact in the finance tech space.
- Qualifications: Strong technical skills in Python, SQL, and experience with data systems.
- Other info: Opportunity for career growth in a fast-paced environment.
The predicted salary is between 48000 - 84000 Β£ per year.
A leading hedge fund in Greater London is seeking a Data Engineer to design and evolve a scalable data platform, automate ETL/ELT workflows, and optimize data processing performance. This role offers the chance to work closely with quant PMs and researchers, utilizing technologies such as Python, SQL, and AWS.
The ideal candidate will have strong technical skills and experience in data systems. The firm operates on a hybrid model and offers market-leading salaries for the right profile.
Data Engineer - Hybrid | Scalable Data Platform & ETL in London employer: Paragon Alpha - Hedge Fund Talent Business
Contact Detail:
Paragon Alpha - Hedge Fund Talent Business Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Engineer - Hybrid | Scalable Data Platform & ETL in London
β¨Tip Number 1
Network like a pro! Reach out to current employees at the hedge fund or similar companies on LinkedIn. A friendly chat can give us insider info and might even lead to a referral!
β¨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data engineering projects, especially those involving Python, SQL, and AWS. This will help us stand out during interviews.
β¨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on common data engineering questions and coding challenges. We can even set up mock interviews with friends to boost our confidence.
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you wonβt find anywhere else.
We think you need these skills to ace Data Engineer - Hybrid | Scalable Data Platform & ETL in London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience with data systems, Python, SQL, and AWS. We want to see how your skills align with the role of a Data Engineer, so donβt hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youβre excited about the opportunity to work with quant PMs and researchers. Let us know how you can contribute to evolving our scalable data platform.
Showcase Your Technical Skills: In your application, be sure to mention specific technical skills and experiences that relate to automating ETL/ELT workflows. We love seeing concrete examples of how you've optimised data processing performance in the past.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures you donβt miss out on any important updates regarding your application status!
How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business
β¨Know Your Tech Inside Out
Make sure youβre well-versed in Python, SQL, and AWS. Brush up on your technical skills and be ready to discuss specific projects where you've used these technologies. Prepare to explain your thought process and the challenges you faced.
β¨Understand the Business Context
Research the hedge fund and its operations. Understand how data engineering fits into their overall strategy. This will help you tailor your answers and show that youβre not just a tech whiz but also understand the bigger picture.
β¨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems or optimise workflows. Think of examples from your past experience where you automated ETL processes or improved data processing performance, and be ready to walk through your approach step-by-step.
β¨Show Your Collaborative Side
Since you'll be working closely with quant PMs and researchers, highlight your teamwork skills. Share examples of how youβve successfully collaborated with others in the past, especially in cross-functional teams, to achieve common goals.