Find a job 
Featured Companies 
Featured Universities 
For Companies 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: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Work closely with researchers and quantitative developers in a fast-paced setting.
- Why this job: Join a team solving complex challenges and making impactful decisions in finance.
- Qualifications: Strong Python skills and knowledge of financial asset classes required.
The predicted salary is between 70000 - 90000 £ 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.
Senior Data Engineer - Data Quality in London employer: NJF Global Holdings Ltd
Contact Detail:
NJF Global Holdings Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Data Quality in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at firms 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! If you've got a portfolio or GitHub with projects related to data engineering or Python, make sure to share it. Real-world examples of your work can speak volumes more than just words on a CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and case studies relevant to data quality and market data. Practising with friends or using mock interview platforms can help you feel more confident when the time comes.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can sometimes give you an edge over others.
We think you need these skills to ace Senior Data Engineer - Data Quality in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your Python expertise and any experience with financial data, as this will show us you’re a great fit for the position.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how your background aligns with our mission. Share specific examples of how you've tackled complex data challenges in the past.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and any experience with C++. We love seeing candidates who can demonstrate their technical abilities, especially when it comes to building data pipelines and ensuring data quality.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone!
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, and think of specific examples where you've solved complex data quality issues.
✨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 beforehand!
✨Understand Their Tech Stack
Familiarise yourself with the technologies and tools commonly used in quantitative finance. If you have experience with C++, mention it! Showing that you understand their tech stack will help you stand out as a candidate who can hit the ground running.
✨Prepare Questions for Them
Interviews are a two-way street, so come armed with thoughtful questions about their data quality frameworks and research processes. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.