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- Tasks: Build and optimise data pipelines for investment decision-making in a dynamic FinTech environment.
- Company: Join a leading FinTech company making waves in Newcastle.
- Benefits: Full-time role with competitive salary and opportunities for growth.
- Why this job: Be part of innovative tech solutions that drive investment strategies.
- Qualifications: 3-6 years experience in data engineering, proficient in SQL and Python.
- Other info: Office-based position with a collaborative team atmosphere.
The predicted salary is between 36000 - 60000 £ per year.
A leading FinTech company is seeking a talented Data Engineer to join their team in Newcastle. This mid-senior level role focuses on building and optimizing data pipelines that support investment decision-making.
The ideal candidate will have:
- 3-6 years of experience
- Proficiency in SQL and Python
- Direct experience in the hedge fund sector
This is a full-time, office-based position where you will contribute to innovative technology solutions.
Data Engineer: Build Scalable Pipelines FinTech Newcastle employer: Noir
Contact Detail:
Noir Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Scalable Pipelines FinTech Newcastle
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Prepare for the technical interview by brushing up on your SQL and Python skills. We recommend doing some mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 3
Showcase your projects! If you've built any data pipelines or worked on relevant projects, make sure to discuss them during the interview. We want to see how you think and solve problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Data Engineer: Build Scalable Pipelines FinTech Newcastle
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building and optimising data pipelines, especially in the hedge fund sector. We want to see how your skills in SQL and Python shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of your past work that relate to investment decision-making and innovative technology solutions.
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include projects or achievements that showcase your proficiency in SQL and Python, and how you've used these tools to solve real-world problems.
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 from our team!
How to prepare for a job interview at Noir
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've built or optimised data pipelines, especially in the hedge fund sector. This will show that you not only understand the tools but also how to apply them effectively.
✨Understand the FinTech Landscape
Familiarise yourself with current trends and challenges in the FinTech industry, particularly those affecting investment decision-making. Being able to discuss these topics will demonstrate your passion for the field and your ability to contribute to innovative technology solutions.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of data engineering concepts. Practice coding challenges or case studies related to building scalable data pipelines, as this will help you articulate your thought process during the interview.
✨Showcase Your Team Spirit
Since this is an office-based role, emphasise your ability to work collaboratively within a team. Share examples of how you've successfully collaborated with others in past projects, as this will highlight your interpersonal skills and fit within the company culture.
