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- Tasks: Architect and build a global Lakehouse platform for live trading strategies.
- Company: Top-tier quant fund with a focus on innovative data solutions.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Make a real impact by building trusted data pipelines for quant teams.
- Qualifications: 5+ years in data platforms, mastery of Python and SQL, finance background preferred.
- Other info: Join a fast-paced team and lead cloud infrastructure design.
A Top-tier quant fund is hiring a Senior Data Engineer to help architect and scale a global Data Lakehouse that feeds directly into live trading strategies. If you’ve already been building data infrastructure inside a hedge fund or HFT shop, you’ll know what this role really means: low-latency, high-availability, globally distributed data pipelines that quant teams trust every day.
This is your chance to level up from patching legacy pipelines to building the core platform used by quant researchers and traders across desks and regions.
What You’ll Be Driving- Architect and build a global Lakehouse platform (Data Lake + OLAP) in AWS
- Develop scalable data pipelines in Python, working with SDKs and data libs
- Own end-to-end data modeling, ingestion, validation, and optimization for high-concurrency access
- Tune performance of cross-region, multi-format data stores (columnar, real-time, etc.)
- Deliver tailored solutions directly to quants and traders – real impact, real visibility
- Take the lead on cloud infra design, deployment, and automation
- 5+ years building data platforms in systematic trading, fintech, or high-throughput environments
- Mastery of Python and SQL – C++ is a plus
- Experience with cloud-native stacks (ideally AWS) and interest in infrastructure as code
- A structured, pragmatic mindset with strong ownership and autonomy
- Ability to work closely with front-office teams and iterate fast
- Finance background is a strong plus — you get why PnL depends on good data
Senior Data Engineer | Systematic Trading 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 | Systematic Trading
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to data engineering and systematic trading. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data pipelines and cloud infrastructure. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and SQL. Practice coding challenges that focus on data structures and algorithms. Being sharp in these areas will help you stand out during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Engineer | Systematic Trading
How to prepare for a job interview at NJF Global Holdings Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in the data infrastructure you've worked with. Be ready to discuss specific projects where you built or optimised data pipelines, especially in low-latency environments. Highlight your experience with AWS and how it relates to the role.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your mastery of Python and SQL during the interview. You might be asked to solve a problem on the spot, so brush up on your coding skills and be ready to explain your thought process clearly.
✨Understand the Business Impact
Since this role directly impacts quant teams and trading strategies, be prepared to discuss how good data influences PnL. Show that you understand the financial implications of your work and how it supports the broader goals of the fund.
✨Be Ready for Technical Questions
Expect technical questions about cloud infrastructure design and data modelling. Prepare examples from your past experiences where you’ve had to make tough decisions or optimisations. This will show your structured mindset and ownership of projects.
