At a Glance
- Tasks: Unlock insights from high-frequency market data and build robust data pipelines.
- Company: Global quantitative investment firm with a tech-driven, collaborative culture.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and data quality.
- Why this job: Join a team solving complex challenges and making an impact in finance.
- 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) in London employer: NJF Global Holdings Ltd
As a leading global quantitative investment firm, we pride ourselves on being an exceptional employer that champions innovation and collaboration. Our remote work culture empowers Data Engineers to thrive in a flexible environment while contributing to cutting-edge research and trading workflows. With a strong focus on employee growth, we offer ample opportunities for professional development and the chance to work alongside top-tier talent in the finance and technology sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer SQL - Remote (m/w/d) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. It’s a great way to demonstrate your expertise beyond the written application.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and data handling skills, and be ready to discuss how you’ve tackled complex data challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are proactive and engaged with our platform. It shows you’re serious about joining the team!
We think you need these skills to ace Data Engineer SQL - Remote (m/w/d) in London
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 that demonstrate your skills and problem-solving abilities.
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 proficiency. You might be asked to solve a coding problem or explain how you've used Python libraries in your previous projects. Practise common data manipulation tasks to showcase your expertise.
✨Collaborate Like a Pro
This role involves working closely with researchers and quantitative developers, so highlight your teamwork experience. Share examples of how you've collaborated on projects, especially those that required solving complex technical challenges together.
✨Prepare for Technical Questions
Expect to face some technical questions related to data pipelines and data quality frameworks. Brush up on best practices for building and maintaining these systems, and be ready to discuss how you would approach designing robust solutions in a high-frequency trading environment.
