Data Engineer — Keboola Professional Services

📋 Description

• Deliver client implementations: Build data pipelines, transformations, integrations and
• Integrate source systems: Connect ERPs, CRMs, accounting tools, databases and APIs, including messy
• Engineer context: Model data and capture metric definitions, business rules and ownership for
• Build agent skills and workflows for clients, enabling their teams to delegate work to agents on
• Estimate work, deliver against scope and budget, and raise scope changes early.
• Hand over solutions with documentation and enablement for client self-sufficiency.

🎯 Requirements

• 4+ years in data engineering, analytics engineering or hands-on technical data role.
• Agentic engineering: daily use of coding agents (e.g., Claude Code), MCP connections, parallel
• Context engineering: writing specs, instructions and skills for reliable agents; capturing business
• Delivery ownership: experience delivering against scope, deadline and budget.
• Client-facing communication: ability to explain solutions to technical and business audiences.
• English: professional working proficiency.