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- Tasks: Build and maintain low-latency data pipelines and ensure 24/7 reliability.
- Company: Leading prop trading firm with a strong engineering culture.
- Benefits: Fully remote work, competitive salary, performance bonuses, and flexible hours.
- Why this job: Join a high-impact role in a fast-paced environment where your work matters.
- Qualifications: Strong Python and SQL skills, experience with trading data, and real-time pipelines.
- Other info: Enjoy biannual off-sites to connect with the global team.
The predicted salary is between 48000 - 72000 £ per year.
A leading prop trading firm is hiring a Senior Data Engineer to take ownership of their trading and market data infrastructure. Operating globally with connectivity to dozens of exchanges, the firm executes millions of trades daily with data playing a mission-critical role in every aspect of the business.
This is a high-impact, high-autonomy role in a lean engineering environment. You’ll design and maintain real-time and historical data systems, power internal analytics tooling, and ensure data quality, reliability, and observability across production systems. Ideal for someone who thrives in fast-paced, trading-led environments where precision and performance are non-negotiable.
Key Responsibilities- Build and maintain low-latency distributed data pipelines
- Develop and run real-time time-series data collectors
- Automate monitoring and data quality checks
- Create tools and APIs for data access
- Collaborate with traders and developers on data needs
- Ensure 24/7 pipeline reliability
- Strong Python and SQL
- Experience with trading/market data in production
- Proven work on real-time, high-volume pipelines
- Familiar with distributed SQL/NoSQL
- Clickhouse and S3/data lakes
- C++ on Linux
- Terraform or similar IaC
- Network protocols and exchange data
- Fully remote role (UK or Europe only)
- Flat structure, strong engineering culture
- Competitive base + performance-linked bonus
- Flexible working hours
- Biannual off-sites to meet the global team in person
Senior Data Engineer in Southampton employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Southampton
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or attend virtual meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving real-time data pipelines or trading systems. We want to see your work in action, so don’t be shy about sharing it during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and SQL. We recommend doing mock interviews with friends or using online platforms to practice. The more comfortable you are with the tech, the better you’ll perform!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us. Let’s get you that Senior Data Engineer position!
We think you need these skills to ace Senior Data Engineer in Southampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Python, SQL, and any relevant trading or market data projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you thrive in fast-paced environments. Let us know why you're excited about this role and how you can contribute to our team.
Showcase Your Projects: If you've worked on real-time, high-volume data pipelines or have experience with distributed SQL/NoSQL, make sure to showcase these projects. We love seeing practical examples of your work that demonstrate your expertise!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at Durlston Partners
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering, especially around real-time and historical data systems. Brush up on your Python and SQL skills, and be ready to discuss how you've built and maintained low-latency distributed data pipelines in the past.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of challenges you've faced in previous roles, particularly in high-volume environments. Think about how you automated monitoring and data quality checks, and be ready to explain your thought process and the impact of your solutions.
✨Familiarise Yourself with the Trading Landscape
Since this role is within a prop trading firm, understanding trading and market data is crucial. Research the latest trends in trading technology and be prepared to discuss how your experience aligns with their needs, especially regarding real-time data collectors.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data infrastructure, team dynamics, and how they measure success in this role. This shows your genuine interest and helps you assess if it’s the right fit for you.
