
Posted 6 days ago
Snowflake Data Engineer
AI Summary
Snowflake Data Engineer at Billigence builds end-to-end data pipelines and transformations on Snowflake using dbt, Python, and Streamlit, while collaborating with clients and stakeholders to deliver trusted, automated analytics solutions.
About this role
Billigence is a Business Intelligence, Data Analytics & AI consultancy with a global reach bringing insights to our customers and delivering the best business outcomes using data. We provide professional services in areas including Data Governance, Cloud Architecture, Data Engineering, Data Insights, and more. Our mission is to transform the way people work with data.
Get to know us better at our LinkedIn, Cocuma profile or Instagram ⭕
About the role
We're growing — and Snowflake is at the heart of it. Billigence is a Snowflake Elite Partner and we're after data engineers who like getting their hands dirty across the whole stack and want to own real client work. You'll turn manual processes into clean automated solutions on Snowflake — from raw data all the way to outputs people actually trust — working alongside two of the three Snowflake Data Heroes in the country. You're happy talking to tech and non-tech people alike, you follow through on what you start, and you're always up for learning something new and passing it on.
What will you do
- 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.
What we're looking for
- 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
What can you expect:
- Work on international projects using cutting-edge data tools – seriously, the best tech available
- 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
- Genuinely collaborative culture, that actually means something: real teamwork, support, knowledge sharing, flexibility and fun
- Continuous learning and development to keep your skills sharp
- A diverse, global team of friendly data professionals, who really get along
- If you're a keen sportsman, you'll find plenty of company here 🏃♀️
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