15 days ago
Tel Aviv-Yafo, IsraelSenior
Responsibilities
- Own and optimize data ingestion, transformation, pipelines, and infrastructure using Snowflake, dbt, and Rivery.
- Build and maintain semantic and business-context layers that provide structured, trustworthy, AI-ready data.
- Establish data lineage, taxonomy, metadata management, documentation, and data-quality standards.
- Design and deploy AI agents for pipeline monitoring, troubleshooting, data quality, documentation, and dbt development.
- Enable analytics agents to discover, understand, and reliably consume company data.
- Lead the company’s end-to-end data infrastructure as the sole Data Engineer and own domain initiatives independently.
Requirements
- 5+ years of hands-on Data Engineering experience with end-to-end pipeline ownership.
- Advanced skills in dbt, Snowflake, SQL, and Python.
- 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, ownership, problem-solving, and independent working skills.
- Ability and interest in staying current with emerging technologies and adapting them to organizational needs.
Categories
AI ApplicationsData Engineering
About AutoDS
AutoDS builds an all-in-one dropshipping SaaS platform for e-commerce sellers, automating product sourcing, listing, pricing, and order fulfillment across major marketplaces and suppliers. It also provides analytics and educational resources to help merchants launch and scale stores. Founded in 2016 and headquartered in Denver, the company was acquired by Fiverr and serves a global customer base.