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- Tasks: Build and optimise data systems for a leading FinTech company.
- Company: Innovative FinTech trailblazer in Newcastle, shaping global financial markets.
- Benefits: Competitive salary, bonuses, and a collaborative work environment.
- Why this job: Make a real impact on data-driven decisions in a forward-thinking organisation.
- Qualifications: 3-6 years as a Data Engineer, strong SQL and Python skills required.
- Other info: Join a dynamic team with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Data Engineer – FinTech – Newcastle
(Tech stack: Data Engineer, SQL, Python, AWS, Git, Airflow, Data Pipelines, Data Platforms, Programmer, Developer, Architect, Data Engineer)
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.
Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions!
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Data Engineer employer: Noir
Contact Detail:
Noir Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨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 or GitHub repository showcasing your data pipelines and projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your experience with AWS and data platforms. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, Python, and AWS, and don’t forget to mention any relevant projects or achievements that showcase your skills in building data pipelines.
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 the team. Keep it concise but impactful!
Showcase Your Technical Skills: When filling out your application, be sure to emphasise your technical skills. Mention your proficiency in Git, Airflow, and any other tools you’ve used. This will help us see how you can contribute to our data platform.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Noir
✨Know Your Tech Stack
Make sure you’re well-versed in SQL, Python, and AWS. Brush up on your knowledge of data pipelines and how to integrate multiple data sources. Being able to discuss specific projects where you've used these technologies will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tested and troubleshot data systems in the past. Highlight any improvements you've made to reliability and accuracy. This will demonstrate your proactive mindset and ability to enhance data platforms.
✨Communicate Effectively
Since you'll be collaborating with various stakeholders, practice explaining complex technical concepts in simple terms. Good communication skills are key, so think about how you can convey your ideas clearly and concisely during the interview.
✨Research the Company
Understand the FinTech landscape and the specific challenges faced by the company. Familiarise yourself with their products and services, and think about how your role as a Data Engineer can contribute to their success. This shows genuine interest and preparation.
