Data Engineer (Mid to Senior)

Quick Facts

• Role: Data Engineer (Mid to Senior)

• Work model: Part-time or full-time (part-time starting at 30 hours/week)

• Location: Prague or Brno (remote-first, with optional office space)

Description

Stop answering tickets and start owning what you build. As a Data Engineer, you’ll take architecture decisions end-to-end, design and optimize data solutions, and bring production-grade pipelines to completion on modern lakehouse/warehouse platforms. You will collaborate with technical stakeholders and work on challenging, real-world data problems for AI-powered client work.

Responsibilities

• Own architecture choices for data pipelines and see them through to production
• Design and optimize scalable data solutions and troubleshoot hard data problems
• Drive production readiness across cloud data platforms
• Coordinate with technical stakeholders across engineering, analytics, science, and PM teams

Benefits

• Real ownership over solutions you build
• Work on AI-powered solutions with measurable client impact
• Collaborative environment that supports autonomy and technical growth
• Flexibility for remote work and optional office access in Prague or Brno

Requirements

• Several years of hands-on experience with Python and SQL
• Practical experience with at least one of Databricks, Snowflake, or BigQuery (ideally production)
• Experience with Azure, AWS, or GCP
• Proven experience designing and maintaining data pipelines for large datasets
• Ownership mindset and collaborative attitude, including mentoring interest
• Legal authorization to travel and work across the EU as needed for client engagements