Role: Senior Data Engineer
Location: London
Industry: Hedge Fund
Tech Stack: Python, SQL, AWS, Data Lakehouse, OLAP
Overview:
A global quantitative investment manager is looking for a Senior Data Engineer to join their London team. You'll be building scalable, high performance data infrastructure that powers systematic trading across multiple desks. This is hands on, high impact work at the intersection of cloud engineering, data modelling, and trading technology.
If you thrive in fast paced, intellectually demanding environments and want your work to directly influence trading outcomes, this is worth a conversation.
Responsibilities:
- Design and implement a global Data Lakehouse architecture catering to multiple trading desks.
- Develop data pipelines in Python utilising cloud SDKs and advanced data libraries.
- Participate in the design of software and infrastructure within an AWS cloud environment.
- Model data for Data Lake and OLAP systems capable of handling large volumes and high concurrency.
- Optimise performance of cross-region data lakes and OLAP databases.
- Ensure data completeness and maintain quality across mission-critical pipelines.
- Create and support customised data solutions for Quants and Traders.
Experience:
- Over 5 years of experience building data platforms with a proven track record.
- Expert in Python and SQL
- Practical experience with cloud infrastructure, preferably AWS.
- Some knowledge of C++ helps
- Methodical and analytical problem-solving skills.
- Independent and self-motivated, yet collaborative when needed.
- Experience in finance is highly desirable.
Interested? Please apply directly. Happy to share more details in confidence.