Data Solutions Engineer

📋 Description

• Build and deliver data solutions for customer needs.
• Develop proof-of-concept solutions demonstrating Keboola platform capabilities for customers.
• Build and configure data pipelines, transformations, and integrations within Keboola.
• Create technical docs and handoff materials that set customers up for success.
• Present implemented solutions to customer technical teams, explaining architecture and design decisions.
• Join discovery calls for deep technical discussions—data sources, APIs, integration patterns.

🎯 Requirements

• 4+ years in data engineering, analytics engineering, or technical data analyst roles.
• You've worked on data teams, in consultancies doing data implementations, or analytics-focused roles where you built things—not just consumed reports.
• You're a builder. Ambiguity motivates you.
• Data Acumen: solid understanding of data modeling and ETL/ELT patterns; can write complex SQL; design a dimensional model; ensure data quality.
• Technical Communication: explain what you've built to developers and stakeholders; demo confidently.
• English Proficiency: professional working proficiency; lead technical discussions and write documentation in English.

🎁 Benefits

• Budget for education.
• 25 PTO's plus 3 sick days.
• Cool new offices in the heart of Holesovice in Prague.
• No set office hours and flexibility.
• You need to be 3 times a week in the office.