Worldcoin (www.worldcoin.org) is an open-source protocol, supported by a global community of developers, individuals, economists and technologists committed to expanding participation in, and access to, the global economy. Its community is united around core beliefs in the inherent worth and equality of every individual, the right to personal privacy, and open and public collaboration. These beliefs are reflected in what the community is building: a public utility to connect everyone to the global economy.

The Worldcoin Foundation (www.worldcoin.foundation) is the protocol’s steward and will support and grow the Worldcoin community until it becomes self-sufficient. Tools for Humanity (www.toolsforhumanity.com) is a global hardware and software development company. It helped launch Worldcoin and continues to provide support to the Foundation, in addition to operating the World App.

About the team:

The Data Science team is responsible for deriving data-driven insights to support TFH’s key decisions. Because of our unique growth model of using a global network of Orb Operators to give a free share of Worldcoin to everyone on Earth, we require a high-performing Data Science team that is able to manage and analyze large amounts of data generated by the Orb, by the Worldcoin app, and by on-chain activity. In particular, the team’s responsibilities include (1) business intelligence, (2) statistics, and (3) data engineering.

About the Opportunity:

As our Data Engineering Manager, you will be responsible for building, leading, and managing the data engineering team. Initially, this role will require you to be quite hands-on and build the core foundations. Your team will be responsible for designing, developing, and managing the data architecture and pipelines that support our data-driven initiatives. Your team will work closely with data scientists, analysts, and other stakeholders to ensure data quality, accessibility, and performance across various data storage systems and platforms. Your team will be a service provider to and collaborate closely with many other teams (in particular Fraud and Risk Analytics, Product, Market Operations, Blockchain, and the wider Engineering team).

In this role, you will:

Build, lead, and manage a high-performing team of data engineers; provide mentorship, guidance, feedback, and support for their professional development
Design and develop a new data architecture, including data models, database structures, and storage solutions, to support our data needs
Build, maintain, and optimize scalable and efficient data pipelines to enable data ingestion, processing, and transformation from multiple internal and external sources
Evaluate and recommend new data technologies, tools, and platforms to improve the efficiency and effectiveness of data processing and storage
Develop and maintain standards and documentation for data engineering processes, systems, and architectures to ensure transparency and knowledge sharing within the team and organization
Lead project planning, estimation, and resource allocation for data engineering initiatives, ensuring timely delivery of high-quality solutions
Monitor, troubleshoot, and optimize data pipeline performance; identifying and resolving issues to ensure high levels of reliability and availability
Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and develop solutions to address them

About You:

Degree in a quantitative field like computer science, engineering or physics
7+ years of hands-on work experience as a data engineer or in a similar role
5+ years of experience building and managing high-performing teams, with a track record of successfully mentoring and developing team members
Significant experience in data engineering, including data architecture, database design, and data warehousing concepts, with specific expertise in Snowflake
Proficiency in a variety of programming languages, such as Python, Scala, SQL, and NoSQL databases
Experience with data pipeline and workflow management tools, such as Stitch, Fivetran, Kinesis, Airflow, or Luigi, with an emphasis on integration with Snowflake
Familiarity with data integration and ETL tools and techniques, specifically for use with Snowflake
Strong analytical and problem-solving skills, with the ability to understand complex data systems and develop innovative solutions
Excellent communication and collaboration skills, with experience working in cross-functional teams
Proven track record of engineering systems in a fast-paced and continuously evolving environment; start-up experience a plus

Position is open to Remote Work from Europe, with periodic travel to Berlin
LI-Remote

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