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- Tasks: Build and automate tools for managing large datasets in a fast-paced trading environment.
- Company: Join a leading quantitative trading firm at the heart of data-driven decision making.
- Benefits: Competitive salary, dynamic work culture, and opportunities for professional growth.
- Why this job: Make a real impact by ensuring data integrity that drives global trading strategies.
- Qualifications: 2+ years in data engineering or related fields with strong Python and SQL skills.
- Other info: Collaborative team environment with exposure to cutting-edge financial technologies.
The predicted salary is between 36000 - 60000 £ per year.
A leading quantitative trading firm is seeking a Data Engineer to join a high-impact data team operating at the core of a large-scale automated trading platform. Data underpins every decision in this environment. This role sits at the intersection of engineering, analysis, and live production, partnering directly with research and trading teams to ensure data flows are accurate, resilient, and research-ready. You will work hands-on with diverse datasets, build automation to support real-time systems, and play a critical role in maintaining the integrity of data that drives trading strategies globally.
The Role:
- Building and automating tools to onboard, classify, validate, and reconcile large, complex datasets
- Analysing and debugging data issues across multi-stage production pipelines, tracing anomalies back to source
- Performing data quality checks and maintaining the reliability of live data feeds supporting trading systems
- Partnering with quantitative researchers to clean, prepare, and featurise data for research and strategy development
- Supporting live trading operations by monitoring data health and resolving time-sensitive production issues
- Working with external data providers, exchanges, and brokers to improve data coverage and robustness
Experience/Skills Required:
- Experience working hands-on with large datasets to resolve complex, ambiguous issues
- A collaborative approach and comfort working with multiple technical and non-technical stakeholders
- 2+ years' experience in data engineering, data science, or a related role (with a relevant technical degree)
- Strong Python skills
- Experience working with SQL and relational databases
- Comfort operating in a Linux environment
- Exposure to ETL pipelines or production data systems is a plus
- Familiarity with financial or market data is advantageous but not required
Pre-Application:
- Please do not apply if you are looking for a contract or remote work
- Please ensure you meet the required experience section prior to applying
- Allow 1-5 working days for a response to any job enquiry
Data Engineer in London employer: Thurn Partners
Contact Detail:
Thurn Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving large datasets or automation. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s data needs. Be ready to discuss how you've tackled complex data issues in the past and how you can contribute to their trading strategies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with large datasets and data engineering. Use keywords from the job description to show we’re on the same page about what you bring to the table.
Showcase Your Skills: Don’t just list your skills; give us examples of how you've used Python, SQL, or worked with ETL pipelines in real projects. We love seeing practical applications of your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background makes you a perfect fit for our data team. Keep it engaging and personal.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team!
How to prepare for a job interview at Thurn Partners
✨Know Your Data Inside Out
Make sure you’re familiar with the types of datasets you’ll be working with. Brush up on your experience with large datasets and be ready to discuss specific examples where you've resolved complex issues. This will show that you understand the core of what the role entails.
✨Showcase Your Technical Skills
Be prepared to demonstrate your Python and SQL skills during the interview. You might be asked to solve a problem or explain how you would approach a data issue. Practising coding challenges or SQL queries beforehand can really help you shine.
✨Collaborate Like a Pro
Since this role involves working with both technical and non-technical stakeholders, be ready to discuss how you’ve successfully collaborated in the past. Share examples of how you’ve communicated complex data concepts to non-technical team members, as this will highlight your collaborative approach.
✨Understand the Trading Environment
Even if you don’t have direct experience with financial or market data, showing an understanding of how data impacts trading strategies can set you apart. Do some research on quantitative trading and be prepared to discuss how data integrity plays a crucial role in decision-making.
