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- Tasks: Build a centralised data platform and work with large-scale alternative data.
- Company: Global investment firm with a focus on innovation and collaboration.
- Benefits: Competitive compensation, generous benefits, and relocation support.
- Why this job: Join a dynamic team and make an impact in the world of data engineering.
- Qualifications: Strong Python and SQL skills, plus hands-on technical ownership experience.
- Other info: Exciting opportunities for career growth in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A global investment firm is looking for a Senior Data Engineer based in the United Kingdom. In this role, you will be responsible for building a centralised data engineering platform and working with large-scale alternative and unstructured data. You will design data systems, optimize performance, and collaborate closely with quantitative researchers.
The ideal candidate will have strong Python and SQL skills, along with hands-on technical ownership experience. Competitive compensation and generous benefits are provided.
Senior Data Engineer, Quant & Alt Data | Python/SQL | Relocation in Birmingham employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer, Quant & Alt Data | Python/SQL | Relocation in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at firms you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills. We all know that confidence in your abilities can make a huge difference!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer, Quant & Alt Data | Python/SQL | Relocation in Birmingham
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL expertise in your application. We want to see how you've used these skills in real-world scenarios, especially when working with large-scale data.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Senior Data Engineer role. Mention any experience you have with alternative and unstructured data, as that’s a big part of what we do.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experience at a glance.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role!
How to prepare for a job interview at Durlston Partners
✨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 building data systems or optimising performance.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles. Think of examples where you had to work with large-scale alternative or unstructured data, and be ready to explain your thought process and the impact of your solutions.
✨Collaboration is Key
Since you'll be working closely with quantitative researchers, highlight any experience you have in cross-functional teams. Share examples of how you've successfully collaborated with others to achieve a common goal.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data engineering platform and their approach to alternative data. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
