Data Engineer

Who we’re looking for

• 3+ years of data engineering experience, with meaningful time spent on integrations between a cloud warehouse and operational SaaS tools (HubSpot, Salesforce, Intercom, Zendesk, Mixpanel, Amplitude, Segment, RudderStack, or similar).
• Fluent in SQL (window functions, CTEs, complex multi-source joins, query optimization) and comfortable in Python for the parts a no-code tool can't handle.
• Production experience with Snowflake (or BigQuery, Databricks, Redshift), and an understanding of the cost, performance, and access-control tradeoffs of a usage-based warehouse.
• Experience building end-to-end pipelines combining an orchestration or ELT platform (Keboola, Fivetran, Airflow, Dagster, Prefect, Matillion) with a transformation framework like dbt.
• Hands-on experience with a CDP (Segment, RudderStack, mParticle) - tracking plans, schemas, identity resolution, downstream consumers - not just installing the snippet.
• You think in data contracts - schema stability, freshness SLAs, documented field definitions - and treat the boundary between your domain and downstream consumers as a first-class interface.
• Comfortable with reverse ETL (Census, Keboola, or hand-rolled), and you understand what it means to write back to a CRM that humans are also editing.
• Pragmatic about tooling - happy to use n8n for the right job, and equally happy to write proper code when that's the right call.
• Able to explain why a dashboard moved and what it means to non-technical stakeholders in Sales, Marketing, and Customer Success, in English, both in writing and in person.

What you’ll do

• Own the integration domain end to end - all pipelines, transformations, and Snowflake models that connect HubSpot, Intercom, Mixpanel, and Segment to the rest of the platform, in both directions.
• Design event tracking and the CDP layer with the RevOps team as Segment becomes the source of truth for behavioral data flowing into product, marketing, and CRM systems.
• Build reliable, observable pipelines in Keboola and dbt - with clear data contracts, schema tests, freshness guarantees, and alerting.
• Model integration data in Snowflake so HubSpot, Intercom, Mixpanel, and Segment data lands in well-defined tables that downstream consumers can trust, with documentation that analysts and scientists can actually use.
• Power lifecycle automations - PQA scores back into HubSpot, behavioral campaigns in Intercom and customer.io , product usage signals - by shipping the data they depend on.
• Diagnose and resolve pipeline incidents independently - trace lineage across multiple components, find root causes, fix, and write the runbook so it doesn't bite the next person.

About the position

Apify is the largest marketplace of tools for AI. 30,000+ Actors helping people and agents get real-time web data, track competitors, generate leads, or integrate their apps. Actors are built by a global creator community that now earns more than $1M every month. Join us to help people put the web to work. Apify can find missing children , protect consumers from fake discounts across the EU , and feed data to AI chatbots .

Benefits

• Space, support, and autonomy for personal growth, with a direct impact on our success
• Full-time position in Prague (Lucerna Palace)
• Flexible working hours (perfect for both night owls 🦉 and early birds 🐥)
• Nobody counts holidays as long as the work gets done 💪
• Unlimited Claude for every Apifier. We don't count tokens. Just use them well 🤖
• Stock options and profit sharing 💰
• Free Multisport card
• We welcome pets, kids, and bikes in the office
• Epic team buildings and offsites 🚢 with biking, canoeing, and other adventures 🪂
• Solid education and training budget, conference tickets, internal “Eat & Learn” sessions, and the possibility to work across teams
• Generous hardware budget 💻
• Free lunches every day when working from the office 🌮🥡
• Unlimited supply of ☕ & 🍺 and snacks
• Free entry to the wonderful Prague and Brno Zoo 🐘
• Ping-pong, chess, PS5, lightsabers, foosball league after lunch.