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 quant developers in a fast-paced, innovative setting.
- Why this job: Join a team solving complex challenges and making impactful contributions to trading strategies.
- Qualifications: Strong Python skills, knowledge of financial asset classes, and experience with tick data.
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.
Senior Data Engineer - SQL Server in London employer: NJF Global Holdings Ltd
As a Senior Data Engineer at our global quantitative investment firm, you will thrive in a dynamic and innovative work culture that prioritises collaboration and technical excellence. We offer competitive benefits, continuous professional development opportunities, and the chance to work with cutting-edge technology on complex data challenges, all while being part of a team that is dedicated to delivering high-quality returns in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - SQL Server in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Since you’ll be working with Python and data pipelines, make sure you can talk about your past projects and how you tackled challenges. We want to see your problem-solving skills in action!
✨Tip Number 3
Don’t forget to showcase your passion for data! When chatting with potential employers, share your enthusiasm for market data and how you’ve used it to drive insights. We love seeing candidates who are genuinely excited about what they do.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for talented individuals who can contribute to our collaborative environment. Let’s get you started on this journey together!
We think you need these skills to ace Senior Data Engineer - SQL Server in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with SQL Server, Python, and any relevant financial asset knowledge. We want to see how your skills align with our needs!
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 collaborative environment. Let us know what excites you about working with high-frequency market data.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or implementing data quality frameworks, we love to see real-world examples of your work that demonstrate your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother application 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 NJF Global Holdings Ltd
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of tick-by-tick market data and the different financial asset classes. Be prepared to discuss how you've worked with this type of data in the past, as well as any 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 your previous projects. Practise common data manipulation tasks to showcase your abilities.
✨Understand the Bigger Picture
Familiarise yourself with the firm's approach to quantitative investing and how data plays a crucial role in their strategies. This will help you align your answers with their goals and show that you're genuinely interested in contributing to their success.
✨Prepare Questions for Them
Interviews are a two-way street, so think of insightful questions to ask about their data quality frameworks or the collaboration between research and quant teams. This not only shows your interest but also helps you gauge if the company is the right fit for you.
