Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop real-time applications and data pipelines for a cutting-edge trading desk.
- Company: Join a $60bn hedge fund leading in machine learning and financial tech innovation.
- Benefits: Enjoy exceptional compensation, career growth, and work with top industry talent.
- Why this job: Be part of a dynamic environment where your work directly impacts trading strategies.
- Qualifications: Strong Python and SQL skills, experience with ETL pipelines, and cloud technologies required.
- Other info: Collaborate with elite teams and drive system reliability in a fast-paced setting.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Engineer – Risk Technology
London, UK
About our client:
A premier $60bn quantitative hedge fund at the forefront of machine learning and financial technology innovation is expanding their risk division. They are seeking exceptional engineers to work with their proprietary trading systems and contribute to their market-leading position in global markets.
Role Overview:
Join an elite team developing real-time applications for a sophisticated trading desk in London. You'll leverage state-of-the-art technology to implement advanced trading strategies through high-precision software solutions, processing market data to facilitate quick decision-making in one of finance's most dynamic environments.
Key Responsibilities:
- Design and develop applications and data pipelines for real-time processing
- Partner with the risk team to enhance existing infrastructure while maintaining engineering best practices
- Transform risk systems through innovative real-time solutions aligned with trading objectives
- Foster collaboration across trading, quant, and technology teams while building key stakeholder relationships
- Drive system reliability through comprehensive monitoring, logging, and scalability initiatives
Technical Requirements:
- Strong Python programming skills with deep SQL expertise
- Advanced knowledge of distributed messaging systems (Kafka, Kinesis)
- Experience with building sophisticated ETL pipelines and data lake architectures
- Proficiency with cloud-native technologies and containerization (Kubernetes, Docker, Helm)
- Experience with real-time stream processing frameworks and event-driven architectures
- Background in workflow orchestration platforms and scheduling systems
- Demonstrated technical leadership and collaborative approach
This role is an exciting opportunity to join an industry leader offering exceptional compensation, accelerated career growth, and the chance to innovate alongside the brightest minds in quantitative trading.
Apply directly or email:
Follow Algo Capital on LinkedIn for latest opportunities: linkedin.com/company/algocapitalgroup
Senior Data Engineer employer: Algo Capital Group
Contact Detail:
Algo Capital Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarize yourself with the latest trends in machine learning and financial technology. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the finance and tech sectors, especially those working in risk technology. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to showcase your technical skills through practical examples. Be ready to discuss specific projects where you implemented advanced trading strategies or built data pipelines, as this will highlight your hands-on experience and problem-solving abilities.
✨Tip Number 4
Understand the importance of collaboration in this role. Be prepared to share experiences where you successfully worked with cross-functional teams, as this will demonstrate your ability to foster relationships and drive system reliability in a dynamic environment.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Engineer position. Understand the key responsibilities and technical requirements, as this will help you tailor your application to highlight relevant skills and experiences.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with Python, SQL, and distributed messaging systems like Kafka or Kinesis. Provide specific examples of projects where you've built ETL pipelines or worked with cloud-native technologies.
Showcase Technical Leadership: If you have experience in technical leadership or collaboration across teams, make sure to include this in your application. Describe situations where you drove system reliability or enhanced existing infrastructure, as these are key aspects of the role.
Tailor Your Cover Letter: Craft a personalized cover letter that connects your background to the company's goals. Mention your enthusiasm for working in a dynamic finance environment and how your skills can contribute to their innovative trading strategies.
How to prepare for a job interview at Algo Capital Group
✨Showcase Your Technical Skills
Be prepared to discuss your strong Python programming skills and deep SQL expertise. Bring examples of past projects where you built sophisticated ETL pipelines or worked with distributed messaging systems like Kafka or Kinesis.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your ability to design and develop applications for real-time processing. Think through how you would approach enhancing existing infrastructure while maintaining engineering best practices.
✨Highlight Collaboration Experience
Since the role involves fostering collaboration across trading, quant, and technology teams, be ready to share experiences where you successfully worked with cross-functional teams and built key stakeholder relationships.
✨Discuss Innovation in Risk Systems
Prepare to talk about innovative solutions you've implemented in risk systems. Discuss how you transformed processes through real-time solutions and how these align with trading objectives.
