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, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and high-quality returns.
- Why this job: Join a team solving complex challenges and making impactful decisions in finance.
- Qualifications: Strong Python skills, knowledge of financial asset classes, and experience with data libraries.
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 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 learning opportunities, and the chance to work with cutting-edge technology on complex challenges, all while being part of a team that values your contributions and fosters professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - SQL 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 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 data quality issues in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Engineer - SQL 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, 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 and how they relate to the role.
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 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 unlocked insights or solved complex problems.
✨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 data libraries in previous projects. Practise common data manipulation tasks to ensure you're sharp.
✨Understand Their Tech Stack
Familiarise yourself with the technologies and tools the firm uses. If they mention specific frameworks or libraries in the job description, make sure you know how they work and can discuss your experience with them. This shows that you're not just a fit for the role but also genuinely interested in their operations.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with thoughtful questions about their data quality frameworks and research processes. This not only shows your interest but also helps you gauge if the company culture aligns with your values and work style.
