About AutoDS
At AutoDS, recently acquired by Fiverr, we're revolutionizing the eCommerce world by providing innovative tools that empower online sellers globally. As a fast-growing company, we're looking for talented individuals who are passionate about technology, eCommerce, and making a real impact. If you're ready to join a dynamic team and thrive in a collaborative, fast-paced environment, we'd love to hear from you!
We are looking for a hands-on Senior Data Engineer to join our Data team, to own and lead AutoDS's end-to-end data infrastructure and drive our evolution toward an AI-native data platform. As the sole Data Engineer, you will manage our data pipelines, build AI-ready semantic and context layers, and develop AI agents to automate Data Engineering workflows.
Responsibilities
•Data Engineering: Own and optimize data pipelines, ingestion, transformations, and infrastructure using Snowflake, dbt, and Rivery.
•Data Architecture: Build and maintain semantic and business context layers, ensuring structured, trustworthy, and AI-ready data.
•Data Governance: Establish data lineage, taxonomy, metadata management, documentation, and quality standards.
•Agentic AI: Design and deploy AI agents for pipeline monitoring, troubleshooting, data quality, documentation, and dbt development.
•Brain AI Integration: Enable analytics agents to discover, understand, and reliably consume company data.
Requirements
•5+ years of hands-on Data Engineering experience with end-to-end pipeline ownership.
•Advanced dbt, Snowflake, SQL, and Python skills.
•Experience with semantic layers and data modeling.
•Hands-on experience building AI agents or agentic workflows.
•Strong data architecture, governance, and automation skills.
•Experience in a similar role within a dynamic, fast-paced startup environment.
•Strong collaboration skills, with the ability to work independently and take full ownership of your domain's initiatives.
•A proactive mindset and strong problem-solving skills.
•A passion for staying current with emerging technologies and best practices, and independently adapting them to the organization's needs.
