Job Description
As an engineer in the team, you will help design, build, and support the systems that make this possible. Your responsibilities will include:
- Creating and maintaining real-time data pipelines that process billions of events per day.
- Developing and supporting a bespoke set of tools and frameworks that bolster our R&D efforts.
- Improving the accuracy and completeness of data through automated processes
- Designing and maintaining data models to make complex datasets accessible
- Managing the orchestration and scheduling of data workflows, (research) jobs, and dependencies at scale
- Collaborating with teams across the business to ensure they have the information and tools they need.
This is an opportunity to work on high-scale, high-impact systems that support decision-making across research, trading, engineering, and the wider business.Who We’re Looking For
- An Engineer who thrives in high-performance environments
- 5+ years in professional environments, ideally in a smaller company or fast-moving teams
- Pragmatic, evidence-driven, and focused on outcomes
- Enjoys working closely with users and building systems that get used
- Trading or financial systems experience is a plus, not a requirement
- Shows technical leadership through ownership, sound judgment, and lifting the capability of others.
Skills & Experience
- Advanced proficiency with Python, Go or C++
- Experience with relational and time-series databases.
- Proficiency developing and deploying software in a Linux environment
- Exposure to networking concepts and protocols.
- Nice to have: experience working with data scientists and/or quants
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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