Data Engineer

About the Company

Apify is the largest marketplace of tools for AI, featuring over 30,000 Actors that help users get real-time web data, track competitors, and integrate apps. The platform empowers a global creator community and provides essential data for AI chatbots and consumer protection.

Responsibilities

• Own the integration domain end-to-end, managing pipelines and Snowflake models connecting HubSpot, Intercom, Mixpanel, and Segment.
• Design event tracking and the CDP layer using Segment as the source of truth for behavioral data.
• Build reliable, observable pipelines in Keboola and dbt with clear data contracts and schema tests.
• Model integration data in Snowflake to ensure downstream consumers can trust the data.
• Power lifecycle automations by shipping product usage signals and behavioral data back to CRM and marketing tools.
• Diagnose and resolve pipeline incidents independently and document runbooks.

Requirements

• 3+ years of data engineering experience with cloud warehouse and SaaS tool integrations.
• Proficiency in SQL and Python.
• Hands-on experience with Snowflake and a CDP like Segment or RudderStack.

Preferred Qualifications

• Experience with usage-based billing or product-led growth data models.
• Exposure to LLM-assisted workflows in the data stack.
• Prior experience at a SaaS company with 50-500 employees.