Data Engineer at Numeus

Numeus is a diversified digital asset investment firm that operates at the intersection of finance, blockchain, and technology. We combine institutional standards with a collaborative approach to alpha strategies, trading, and asset management. We are looking for a Data Engineer to join our team in the United Kingdom for this full-time, on-site role.

Responsibilities

• Partner with quantitative researchers to identify and fulfill their specific data needs.
• Build and maintain high-throughput, near real-time event driven datasets using both live and historical market information.
• Manage integrations with external APIs and alternative data providers to ingest a variety of structured and unstructured data.
• Create data solutions that allow for the reliable and efficient extraction of insights.
• Design and optimize robust data pipelines and ETL processes that support our research, alpha forecasting, and execution workflows.
• Apply strict data quality assurance standards to guarantee the consistency and accuracy of all data inputs.

Must-haves

• At least 3 years of professional experience in a related role, ideally within a quantitative hedge fund.
• A Bachelor’s degree in Computer Science or a related technical field.
• Strong proficiency in Python and Rust.
• Extensive experience with big data technologies, data modeling, ETL, and data warehousing.
• Expertise in SQL and modeling relational data, along with experience using tick data stores and various database types.
• Background in building event driven applications using tools like Kafka, Protobuf, and Schema Registry.
• Practical experience with AWS, Linux, and Docker.
• Experience working with REST and WebSocket APIs.
• Excellent communication skills and the ability to translate researcher requirements into technical solutions.
• A detail-oriented mindset with the ability to thrive in a fast-paced environment.
• Availability for periodic travel to our offices in New York City and Zug, Switzerland.
• Fluency in English.