Numus is hiring a

Web3 Data Engineer

We are seeking a skilled and experienced Data Engineer. This is a high impact role with the ability to contribute meaningfully to the development and management of our data engineering platform. This position requires strong technical capabilities and a proven ability to collaborate effectively with quantitative researchers, facilitating seamless cooperation to process, analyze, and manage a large and diverse corpus of datasets that enable our quantitative investment process.

Key Responsibilities:

• Work closely with quantitative researchers to understand their data requirements, provide technical solutions, and integrate data engineering processes effectively with quantitative strategies
• Design, develop, and optimize robust data pipelines, enabling ETL processes that support 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
• Evaluate, select, and manage the appropriate data engineering tools, technologies, and infrastructure, with a focus on scalability and automation
• Collaborate with compliance and risk management teams to ensure data privacy, security, and regulatory compliance standards are adhered to
• Effectively communicate complex technical concepts to non-technical stakeholders, enabling them to understand the value and impact of specific data engineering initiatives

Skillset and Qualifications:

• 3+ years experience in data engineering. Previous experience at a quantitative hedge fund is highly desirable.
• Master's or Ph.D. in Computer Science, Engineering, Data Science, or a related field
• Proficiency in programming languages such as Python and C++, along with experience in big data technologies. Strong knowledge of SQL and relational databases.
• Demonstrated expertise in designing and optimizing data pipelines, data modeling, ETL processes, data warehousing, and data governance
• 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
• Thrive in a fast-paced and dynamic environment, adaptable to changing priorities and emerging technologies
• Strong verbal and written communication skills
• Ability to travel periodically between our offices in London and NYC

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

Apply Now: