At a Glance
- Tasks: Build and optimise data systems for complex datasets in a dynamic hedge fund environment.
- Company: Join Noir, a leading hedge fund with a focus on engineering excellence.
- Benefits: Competitive salary and the chance to work with cutting-edge data technologies.
- Other info: Fully office-based role with opportunities for professional growth.
- Why this job: Make a real impact by enhancing data accessibility and reliability for business decisions.
- Qualifications: 3-6 years of experience in data engineering, preferably in the hedge fund sector.
The predicted salary is between 50000 - 60000 £ per year.
Noir is expanding its engineering capability in Newcastle and is looking for a talented Data Engineer to join their team. This key role focuses on building and optimising data systems that make complex datasets accessible and reliable for the business.
You'll develop high-quality pipelines, enhance the central data platform, and collaborate with stakeholders to maximise data value.
Candidates should have 3–6 years of experience and direct experience in the hedge fund sector. This is a fully office-based position.
Data Engineer – Hedge Fund Data Platform (SQL, Python, AWS) in Newcastle upon Tyne employer: Noir
Noir is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Newcastle. With a strong focus on employee growth, we offer continuous learning opportunities and the chance to work on cutting-edge projects within the hedge fund sector. Our fully office-based environment encourages teamwork and engagement, making it a rewarding place for talented Data Engineers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer – Hedge Fund Data Platform (SQL, Python, AWS) in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the hedge fund sector on LinkedIn or at industry events. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL, Python, and AWS projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your experience in optimising data systems. Practice makes perfect, so consider mock interviews with friends.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Engineer – Hedge Fund Data Platform (SQL, Python, AWS) in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL, Python, and AWS. We want to see how your skills align with the role of a Data Engineer in the hedge fund sector, so don’t hold back on 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 data engineering and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We’re looking for someone who can build and optimise data systems, so let us know how you’ve done this before!
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’s super easy!
How to prepare for a job interview at Noir
✨Know Your Tech Stack
Make sure you’re well-versed in SQL, Python, and AWS. Brush up on your knowledge of data pipelines and how to optimise them. Be ready to discuss specific projects where you've used these technologies, as it shows you can hit the ground running.
✨Understand the Hedge Fund Landscape
Since this role is within the hedge fund sector, do your homework on how data is used in this industry. Familiarise yourself with common challenges and trends. This will help you demonstrate your understanding and show that you're genuinely interested in the field.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems or optimise existing systems. Think about past experiences where you’ve had to troubleshoot or improve a data system. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Show Your Collaborative Spirit
This role involves working closely with stakeholders, so be prepared to discuss how you’ve collaborated in previous roles. Share examples of how you’ve communicated complex data insights to non-technical team members, as this will highlight your ability to maximise data value.
