Organization: Numus

Location: London

Role: Data Engineer

Salary: $73,000 – $115,000

About Numeus

Numeus is a diversified digital asset investment firm built to the highest institutional standards, combining synergistic businesses across Alpha Strategies, Trading, and Asset Management.

Founded by successful executives with decades of experience in finance, blockchain, and technology, Numeus is driven by a shared passion for digital assets. Our values are rooted in an open approach based on connectivity, collaboration, and partnerships within the digital asset ecosystem. At Numeus, people and technology are central to our operations.

About the Role

We are seeking a skilled and experienced Data Engineer. This high-impact role offers the opportunity to contribute significantly to the development and management of our data platform. The position demands strong technical capabilities and a proven ability to collaborate effectively with quantitative researchers to process, analyze, and manage a vast and varied corpus of datasets that support our quantitative investment processes.

Key Responsibilities:

• Collaborate closely with quantitative researchers to understand their data requirements.
• Develop high-throughput, near real-time event-driven datasets using live trade and historical market data.
• Integrate with external APIs and alternative data vendors to ingest both structured and unstructured data.
• Create data solutions that enable efficient and reliable extraction of insights from captured data.
• Design, develop, and optimize robust data pipelines, supporting ETL processes for quantitative research, analysis, alpha forecasting, and execution.
• Implement rigorous data quality assurance measures to ensure the accuracy, reliability, and consistency of data inputs and outputs.

Skillset and Qualifications:

• 3+ years of experience in a related field or role; previous experience at a quantitative hedge fund is highly desirable.
• Bachelor’s degree in Computer Science or a related field.
• Proficiency in programming languages such as Python and Rust, along with experience in big data technologies.
• Expertise in designing and optimizing data pipelines, data modeling, ETL processes, data warehousing, and data governance.
• Strong experience in SQL and modeling relational data, with proficiency in using relational and non-relational databases as well as tick data stores.
• Working experience with REST/WS backends and APIs.
• Experience building event-driven applications using technologies like Protobuf, Kafka, and Schema Registry.
• Familiarity with AWS and their data offerings.
• Experience with Linux and Docker.
• Proven ability to collaborate effectively with quantitative researchers and other stakeholders, translating their requirements into technical solutions.
• Strong analytical and problem-solving skills, capable of analyzing complex datasets, identifying patterns, and extracting meaningful insights.
• Highly detail-oriented and meticulous.
• Ability to thrive in a fast-paced and dynamic environment, adaptable to changing priorities and emerging technologies.
• Strong verbal and written communication skills.
• Willingness to travel periodically between our offices in NYC and Zug, Switzerland.

Are you keen to work in a well-resourced startup environment, where your ideas, experience, and drive to find creative solutions make a difference? We’d like to hear from you.