At a Glance
- Tasks: Build and optimise data pipelines for complex datasets in a dynamic FinTech environment.
- Company: Noir Consulting, a leading player in the FinTech sector.
- Benefits: Competitive salary, bonuses, and comprehensive benefits package.
- Other info: Fully office-based role with opportunities for professional growth.
- Why this job: Join a team that drives investment decisions with cutting-edge data solutions.
- Qualifications: Experience in hedge funds, 2:1 in Computer Science, and strong SQL/Python skills.
The predicted salary is between 45000 - 80000 £ per year.
Noir Consulting is seeking a talented Data Engineer in Newcastle to build and optimize systems handling complex datasets. You will develop high-quality data pipelines and enhance the central data platform to support investment decision-making.
The ideal candidate should have experience in the hedge fund sector, a 2:1 in Computer Science, and strong skills in SQL and Python.
This is a fully office-based role with a salary range of £45,000 to £80,000 plus bonus and benefits.
FinTech Data Engineer: Build Scalable Pipelines in Newcastle upon Tyne employer: Noir Consulting
Noir Consulting is an excellent employer for Data Engineers, offering a dynamic work environment in Newcastle where innovation thrives. With a strong focus on employee growth, we provide opportunities for professional development and a competitive salary package that includes bonuses and benefits. Our collaborative culture encourages creativity and teamwork, making it a rewarding place to contribute to impactful projects in the FinTech sector.
StudySmarter Expert Advice🤫
We think this is how you could land FinTech Data Engineer: Build Scalable Pipelines in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the FinTech space, especially those who work with data engineering. A friendly chat can open doors and give you insights that might just land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects. This is your chance to demonstrate your SQL and Python prowess, so make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering questions. We recommend practising coding challenges and discussing your past experiences with complex datasets to impress the hiring team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace FinTech Data Engineer: Build Scalable Pipelines in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in building and optimising data pipelines, especially if you've worked 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 projects and how they relate to the job description. We love a good story!
Showcase Your Technical Skills:Don’t forget to mention any relevant technical skills or tools you’ve used in your previous roles. If you’ve built scalable systems or worked with complex datasets, let us know – we’re all ears!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any updates. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at Noir Consulting
✨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, as well as any challenges you faced and how you overcame them.
✨Understand the Hedge Fund Landscape
Since the role is in the hedge fund sector, it’s crucial to familiarise yourself with how data impacts investment decisions. Research recent trends in FinTech and be prepared to discuss how your work can contribute to better decision-making.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or case studies during the interview. Think of examples where you’ve had to solve complex data issues and be ready to explain your thought process clearly.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about the team dynamics, the tech stack they use, or how they measure success in this position.
