At a Glance
- Tasks: Build and optimise data pipelines for hedge funds, managing large volumes of data.
- Company: Join Noir, a leading FinTech company in Newcastle upon Tyne.
- Benefits: Competitive salary and the chance to work with cutting-edge technology.
- Other info: Fully office-based role, perfect for those based in the UK.
- Why this job: Make a real impact on investment decisions with your data expertise.
- Qualifications: 3–6 years of experience, strong SQL and Python skills, cloud tool familiarity.
The predicted salary is between 35000 - 45000 £ per year.
Noir is seeking a talented Data Engineer to join their expanding team in Newcastle upon Tyne. This role focuses on building and optimising robust data pipelines that manage large volumes from various sources. You'll enhance the central data platform, ensuring reliable data delivery for investment decisions.
The ideal candidate will have 3–6 years in a similar role, strong skills in SQL and Python, and familiarity with cloud tools like AWS. This is a fully office-based position, requiring applicants to be based in the UK.
Data Engineer — FinTech Pipelines for Hedge Funds (Newcastle) employer: Noir
Noir is an excellent employer that fosters a collaborative and innovative work culture, where Data Engineers can thrive in their roles while contributing to cutting-edge FinTech solutions. Located in the vibrant city of Newcastle upon Tyne, employees benefit from a supportive environment that prioritises professional growth and development, alongside competitive remuneration and benefits. With a focus on teamwork and continuous learning, Noir offers a unique opportunity for those looking to make a meaningful impact in the financial technology sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer — FinTech Pipelines for Hedge Funds (Newcastle)
✨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 — FinTech Pipelines for Hedge Funds (Newcastle) 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 — FinTech Pipelines for Hedge Funds (Newcastle) 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 — FinTech Pipelines for Hedge Funds (Newcastle)
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.
