Data Engineer at Billigence building scalable data pipelines and architectures on Snowflake, Databricks and Microsoft Fabric for client projects across industries. Comfort in Azure environments is the baseline.
Responsibilities
- ▹Design, build and maintain scalable data pipelines and architectures using tools like Snowflake, Databricks and Microsoft Fabric
- ▹Work on end-to-end data engineering projects, from raw data ingestion to clean, reliable outputs ready for analytics and modelling
- ▹Identify and implement ways to improve data reliability, efficiency and quality
- ▹Collaborate with architects, consultants and project managers, translating technical complexity into clear solutions
- ▹Contribute to knowledge sharing through internal sessions, webinars and tech talks
- ▹Keep growing: learn new tools, earn certifications and bring that knowledge back to the team
Requirements
- ▹2+ years of experience in data engineering or a closely related role
- ▹Strong SQL skills and hands-on experience with Python
- ▹Solid experience with Azure and at least one of Snowflake, Databricks or Microsoft Fabric
- ▹Understanding of ETL/ELT processes and data pipeline design
- ▹Confident communication with both technical and non-technical stakeholders
- ▹Hands-on, proactive approach: you take ownership and follow through
- ▹Drive to deliver quality work that genuinely meets client needs
- ▹Willingness to keep learning: new tools, new certifications, new domains
- ▹Fluent Czech and English on a professional level
Nice to have
- ▹Experience with BI or visualization tools
- ▹Business consulting background or understanding of client-facing projects
Soft skills
Communicating with technical and non-technical peopleProactivity and ownershipClient focusWillingness to learn
What we offer
- ▹International projects using cutting-edge data tools
- ▹Extra 10 days of leave
- ▹Multisport card
- ▹Generous annual learning budget
- ▹Open bonus structure
- ▹Local and international knowledge sharing sessions
- ▹Hybrid flexibility: regularly in the Prague office (around 2-3 days a week), free to choose what works best beyond that
- ▹AI-friendly by default: experimenting with new tools and treating AI as a genuine work partner
- ▹Collaborative culture: real teamwork, support, knowledge sharing, flexibility
- ▹Continuous learning and development
- ▹A diverse, global team of friendly data professionals
About the company
Billigence is a global Business Intelligence, Data Analytics and AI consultancy offering services in data governance, cloud architecture, data engineering and data insights.
Languages: Cseh: folyékony, szakmai szinten, Angol: folyékony, szakmai szinten
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