At a Glance
- Tasks: Build and optimise data systems for innovative FinTech solutions.
- Company: Leading FinTech company revolutionising global financial markets.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on cutting-edge technology.
- Why this job: Join a dynamic team and make an impact in the world of finance.
- Qualifications: 3-6 years as a Data Engineer, strong SQL and Python skills.
The predicted salary is between 36000 - 60000 £ per year.
Our client is a trailblazer in the FinTech space, known for delivering innovative technology solutions to global financial markets. They are expanding their engineering capability in Newcastle and are looking for a talented Data Engineer to join their team. This role will focus on building and optimising systems that make complex datasets accessible, reliable, and valuable for the business.
As a Data Engineer, you will take responsibility for the development of high-quality pipelines that process and manage large volumes of data from a range of external and internal sources. You’ll play a key role in enhancing and maintaining their central data platform, ensuring the smooth delivery of information that supports investment decision-making. Working closely with stakeholders across the business, you’ll help shape how data is accessed, tested, and leveraged to maximise value.
The successful candidate will bring:
- 3-6 years of relevant experience working as a Data Engineer (or in a closely related role).
- A 2:1 or above in Computer Science (or related field), ideally from a Russell Group university.
- Direct experience in the hedge fund sector (essential).
- Strong ability to design and build data pipelines that integrate multiple data sources.
- Proficiency in SQL and Python, with solid exposure to AWS or other cloud-based data tools.
- Familiarity with version control systems such as Git and workflow/orchestration tools such as Airflow.
- Proven ability to test and troubleshoot data systems, with a track record of improving reliability and accuracy.
- Excellent communication skills, with the ability to collaborate effectively in a team environment.
- A detail-oriented, proactive mindset, with a willingness to learn and apply new technologies.
This is an exciting opportunity to join a forward-thinking organisation where data is at the core of their success. You’ll be part of a collaborative environment where your work will directly support world-class FinTech solutions.
Data Engineer in Newcastle upon Tyne employer: Noir Consulting
As a .NET Developer at this globally recognised technology brand in Stansted, you will thrive in a dynamic and innovative environment that prioritises employee growth and development. With a generous £2 billion annual R&D budget, the company offers extensive training opportunities, including 18 days of dedicated technical training each year, alongside a refreshing work culture featuring flexible hours, casual dress, and a free juice bar. Join a team that values your contributions and supports your career progression through bi-annual pay reviews and exciting events like trips to Microsoft Ignite.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your SQL and Python prowess, so make it shine when you get the chance to discuss your work.
✨Tip Number 3
Prepare for the technical interview! Brush up on your AWS knowledge and be ready to tackle questions about data systems and troubleshooting. Practising with mock interviews can help you feel more confident and ready to impress.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your experience in the hedge fund sector and how you can contribute to our innovative tech solutions.
We think you need these skills to ace Data Engineer in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience as a Data Engineer, especially with SQL, Python, and AWS. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the FinTech space and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a bit of personality!
Showcase Your Projects:If you've worked on any data pipelines or platforms, make sure to mention them in your application. We’re keen to see real-world examples of your work, especially if they demonstrate your ability to handle large datasets and improve system reliability.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Noir Consulting
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description. Brush up on your SQL and Python skills, and be ready to discuss how you've used AWS, Git, and Airflow in your previous roles. Being able to share specific examples of your experience with data pipelines will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in your previous roles as a Data Engineer. Think about times when you had to troubleshoot data systems or improve reliability. Sharing these experiences will demonstrate your proactive mindset and ability to handle complex datasets effectively.
✨Communicate Clearly
Since this role involves working closely with stakeholders, practice explaining technical concepts in simple terms. Be ready to discuss how you’ve collaborated with teams in the past and how you ensure that data is accessible and valuable for decision-making. Good communication can set you apart from other candidates.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s data strategy, the tools they use, or how they measure success in their data projects. This shows your genuine interest in the role and helps you understand if it’s the right fit for you.
