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Senior Data Engineer
About the Company
They are a pioneering alternative asset manager building data-driven investment strategies across global markets. Their Data Engineering team sits at the heart of the research infrastructure, partnering directly with quantitative researchers and portfolio managers to turn complex, large-scale data into production-ready signals.
This role is for exceptional individuals from top-tier quantitative firms who want ownership, intellectual depth, and real impact.
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Responsibilities
- Design and implement scalable, high-performance data pipelines
- Develop backend services and APIs to support data processing and analytics
- Build integrations with external vendors and market data providers
Tech Stack
- Python
- AWS (Lambda, ECS, CloudFormation, S3)
- IaC (Terraform)
Requirements
- 4+ years’ experience as a Data Engineer or Backend Engineer
- Proficiency in Python
- Experience with cloud infrastructure and managed services
- Strong problem-solving skills and the ability to work independently
- Experience in a start-up or high-growth environment is a plus
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Benefits
- Competitive base salary with performance-based bonus
- Private healthcare and life insurance
- Regular team events, social activities, and a supportive culture
- Career development opportunities in a growing tech-driven business
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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