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- Tasks: Unlock insights from high-frequency market data and build robust data pipelines.
- Company: Global investment firm focused on technology and data-driven solutions.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and high-quality returns.
- Why this job: Join a collaborative team solving complex challenges in finance with cutting-edge technology.
- Qualifications: Strong Python skills and knowledge of financial asset classes required.
The predicted salary is between 60000 - 80000 £ per year.
Our client is a global quantitative and systematic investment firm operating across all liquid asset classes worldwide. The organisation is highly technology- and data-driven, applying a scientific approach to investing. By combining data, research, technology, and trading expertise, the firm fosters a collaborative environment focused on solving complex technical and quantitative challenges and delivering consistent, high-quality returns.
You will work closely with researchers and quantitative developers to unlock insights from high-frequency market data and help power large-scale research and trading workflows.
- Partnering with research and quant teams to deliver insights from tick-by-tick market data
- Serving high-quality data to large-scale backtesting and research platforms
- Building and maintaining tick data pipelines in Python to enable fast, reliable access across asset classes
- Designing, implementing, and monitoring robust data quality frameworks across all pipelines
Strong knowledge of multiple financial asset classes. Deep understanding of Level 2 and Level 3 tick-by-tick data. Strong Python skills with experience using data libraries; C++ is a plus.
Data Engineer SQL - Remote (m/w/d) employer: NJF Global Holdings Ltd
Contact Detail:
NJF Global Holdings Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer SQL - Remote (m/w/d)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and data pipelines. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with tick data and how you've tackled challenges in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Engineers like you. It’s the best way to get noticed!
We think you need these skills to ace Data Engineer SQL - Remote (m/w/d)
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 any relevant financial asset knowledge. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any projects involving tick data or data pipelines, make sure to mention them! We’re keen to see real examples of your work and how you’ve tackled challenges in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at NJF Global Holdings Ltd
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of financial asset classes and tick-by-tick data. Be prepared to discuss how you've worked with this type of data in the past, as well as any specific challenges you've faced and how you overcame them.
✨Show Off Your Python Skills
Since strong Python skills are a must for this role, be ready to demonstrate your expertise. You might be asked to solve a coding problem or explain how you've used Python libraries in previous projects. Practise common data manipulation tasks to showcase your abilities.
✨Understand the Company’s Approach
Research the firm’s investment strategies and their use of technology in trading. This will help you align your answers with their goals and show that you're genuinely interested in their work. Mention any relevant experience that ties into their scientific approach to investing.
✨Prepare Questions for Them
Interviews are a two-way street, so think of insightful questions to ask about their data quality frameworks or how they collaborate with research teams. This shows your enthusiasm for the role and helps you gauge if the company is the right fit for you.