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- Tasks: Build resilient data pipelines and collaborate with quants and PMs for real-time decision-making.
- Company: High-performing trading firm with a focus on impactful data engineering.
- Benefits: Market-leading compensation, private health insurance, flexible sick leave, and visible contributions.
- Why this job: Shape data architecture and see the direct impact of your work in a dynamic environment.
- Qualifications: Strong Python and SQL skills, experience with Airflow, and familiarity with databases.
- Other info: Hybrid role in London with significant ownership and career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a highly motivated Data Engineer to join a small and growing team at a high-performing trading firm. This role is ideal for those who want to see tangible impact from their work. You will be collaborating directly with quants and portfolio managers to architect data flows and build resilient ETL systems that power real-time decision-making. This is not a back-office or purely maintenance role. You will help shape how the firm ingests, processes, and leverages data across multiple strategies. The position offers significant ownership and influence for engineers who enjoy seeing the direct results of their technical contributions. This is a rare opportunity.
We are especially interested in candidates who prefer working on-premises infrastructure, value clarity and performance in their code, and have strong instincts around data reliability and system orchestration.
Tech Stack: Python, SQL, Airflow, Unix/Linux, Postgres, MongoDB, on-premises infrastructure, Git, data warehousing, data modelling.
Location: London, UK (hybrid format, with a requirement of 3 days per week in the office).
Benefits:
- Competitive, market-leading compensation package (aligned with top-tier trading firms)
- Private health, vision, and dental insurance
- Flexible paid sick leave
- Impact-driven environment where contributions are visible and valued
- The opportunity to work closely with PMs, quants, and senior engineering leadership
- High level of ownership and the ability to directly influence data architecture and strategy
Qualifications:
- Strong knowledge of Python and SQL
- Experience working in on-premises environments (cloud not required or preferred)
- Hands-on experience with Airflow (or similar orchestration tools)
- Proficiency with Unix/Linux systems
- Familiarity with relational and NoSQL databases (Postgres, MongoDB, etc.)
- Understanding of data modelling principles and trade-offs (normalisation vs denormalisation)
- Comfortable with Git workflows and collaborative engineering environments
- Bachelor's degree in Computer Science, Engineering, or related technical field
Responsibilities:
- Partner with PMs and Quant Developers to translate trading and research needs into reliable data pipelines
- Expand and maintain the internal data warehouse
- Build and optimise ETL workflows using orchestration tools (Airflow preferred)
- Improve robustness, speed, and scalability of internal data tools
- Implement monitoring, anomaly detection, and data quality checks
- Manage data entitlements and vendor relationships
- Evaluate and propose tooling for data ingestion, streaming, and management
Nice to have:
- Experience working in fast-paced tech or financial environments
- Background in data engineering for trading or analytics products
- Java skills are a bonus
- Familiarity with Hadoop or other on-prem data solutions
- Master's degree in a quantitative or technical field
If this sounds like the kind of environment where you do your best work, we would love to meet you.
Data Engineer (UK) employer: People Everywhere
Contact Detail:
People Everywhere Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (UK)
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. The more you engage with others, the better your chances of hearing about job openings before they’re even advertised.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio showcasing your projects, especially those involving Python, SQL, or ETL workflows. This gives potential employers a tangible sense of your capabilities and how you can contribute to their team.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding data modelling principles. Practice common interview questions related to data engineering and be ready to discuss your past experiences and how they relate to the role.
✨Apply Through Our Website
We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Data Engineer (UK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Engineer role. Highlight your Python, SQL, and ETL experience, and don’t forget to mention any work with on-premises infrastructure!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data engineering and how you can make an impact at our firm. Be specific about your past projects and how they relate to the responsibilities listed in the job description.
Showcase Your Technical Skills: In your application, be sure to include examples of your technical expertise, especially with tools like Airflow, Git, and databases like Postgres or MongoDB. We want to see how you’ve used these in real-world scenarios!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at People Everywhere
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Python, SQL, and Airflow, as these are crucial for the role. Brush up on your knowledge of Unix/Linux systems and both relational and NoSQL databases like Postgres and MongoDB. Being able to discuss your hands-on experience with these technologies will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Think about times when you improved data pipelines or optimised ETL workflows. This will demonstrate your ability to make a tangible impact, which is key for this position.
✨Understand the Business Context
Familiarise yourself with trading and financial environments, as this role involves collaborating with quants and portfolio managers. Being able to speak their language and understand their needs will set you apart from other candidates. Research the firm’s strategies and how data plays a role in decision-making.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about the team dynamics, the current challenges they face with data architecture, or how they measure success in their data projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
