At a Glance
- Tasks: Build and optimise data systems to make complex datasets accessible and valuable.
- Company: Leading FinTech innovator transforming global financial markets.
- Benefits: Competitive salary, bonuses, and a collaborative work environment.
- Other info: Exciting career growth opportunities in a dynamic office-based setting.
- Why this job: Join a forward-thinking team where your work directly impacts world-class FinTech solutions.
- Qualifications: 3-6 years as a Data Engineer, strong SQL and Python skills, and cloud experience.
The predicted salary is between 45000 - 80000 £ 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.
Location: Newcastle, UK (Fully Office Based)
Salary: £45,000 - £80,000 + Bonus + Benefits
Applicants must be based in the UK and have the right to work in the UK.
Data Engineer in York employer: Noir
Join a pioneering FinTech company in Newcastle, where innovation meets collaboration. As a Data Engineer, you'll thrive in a dynamic work culture that values your contributions and offers ample opportunities for professional growth. With competitive salaries, bonuses, and a focus on cutting-edge technology, this is an exceptional place to advance your career while making a meaningful impact in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in York
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Noir!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Noir.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Noir.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Noir, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in York
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Noir, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Noir. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Noir
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Noir!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
