Build data pipelines in Snowflake using a layered (medallion) approach — landing → processing → outputs.
Develop transformations and models in dbt (SQL & Python) — including tests and incremental strategies.
Build Streamlit interfaces so users can upload inputs, run checks, and trigger calculations themselves.
Implement automated data validations at each step.
Prepare outputs for reporting (Power BI) and exports to downstream systems.
Talk to the business and document the solution so the client can run it independently.
About you
Strong SQL and hands-on Snowflake experience
Solid experience with dbt — modelling, tests, incremental strategies
Proven track record building data pipelines end-to-end, from ingestion to reliable outputs
A strong feel for data quality and sustainable, maintainable architecture
Python and Streamlit
Dimensional modelling and BI experience
Cortex AI / Snowpark ML, CI/CD — a plus
Confident talking to business stakeholders and translating their needs into a working solution
Ownership mindset — you drive work forward and can hand a solution over to a client to run independently
Fluent Czech and English on a professional level
Jan Láznička
Data Engineering Team Lead
What can you expect
Work on international projects using cutting-edge data tools
Solid benefits package : extra 10 days of leave, multisport card, generous annual learning budget, open bonus structure, local and international knowledge sharing sessions, and more
Hybrid flexibility – we meet in the Prague office regularly (around 2–3 days a week), and you’re free to choose what works best for you beyond that
AI-friendly by default – we stay current, experiment with new tools, and treat AI as a genuine work partner
Continuous learning and development to keep your skills sharp
If you're a keen sportsman, you'll find plenty of company here :)
I've enjoyed all these years doing meaningful projects that make a real impact. I see people growing around me and how we export their Czech know-how to the whole of Europe.
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