Data Engineer - Data warehouse, ETL
Build the backbone of real-time systems for global brands like McDonald’s.
Do you want to work on systems that are used by tens of thousands of people every day — from franchise owners to C-level executives? You’ll build the core data infrastructure that powers digital menu boards, drive-thrus, and analytics platforms across 30,000+ locations worldwide. This isn’t reporting — this is real-time, high-scale data engineering with immediate impact.
What you’ll do
Design and maintain ETL/ELT pipelines to process large volumes of data.
Contribute to the design and optimization of data warehouses and infrastructure for the analytics platform.
Collaborate with engineers, product teams, and other colleagues to shape data products.
Ensure data is delivered on time and in the correct format, including real-time workflows.
Manage backend services supporting analytics processes and monitor their reliability and performance.
Skills we’re looking for
Data Infrastructure & Architecture: Snowflake
Data Transformations & Management: SQL optimization, API integrations, data modeling
Integration & Processing: Batch & real-time processing, multi-location data aggregation
Nice to have: Python, AWS, CI/CD, containerization
What we offer?
A global project with real operational data
The chance to build things from scratch and influence their design
Opportunities for growth – in engineering, analytics, and product thinking
Freelance contract / 80-130k CZK
Freedom in how you approach your work – results matter, not screen time
Great colleagues who know their craft and enjoy sharing knowledge