
Artificial Intelligence • Data Engineering • Analytics
Hiflylabs is a data and technology company focused on providing advanced solutions in AI, data engineering, and analytics. With over 200 experts, Hiflylabs has completed more than 500 projects across the US and Europe, offering services like data strategy advisory, AI and data science solutions, and data visualization. The company is recognized for its innovative AI applications and data-driven solutions in various industries including finance, retail, manufacturing, and energy. As a trusted partner for AI and data integration, Hiflylabs excels in transforming legacy systems into modern, efficient platforms through technologies like predictive modeling, machine learning, and interactive knowledge bases.
3 days ago
đź‡đź‡ş Hungary – Remote
⏰ Full Time
🟢 Junior
🟡 Mid-level
đźš° Data Engineer
🚫👨‍🎓 No degree required

Artificial Intelligence • Data Engineering • Analytics
Hiflylabs is a data and technology company focused on providing advanced solutions in AI, data engineering, and analytics. With over 200 experts, Hiflylabs has completed more than 500 projects across the US and Europe, offering services like data strategy advisory, AI and data science solutions, and data visualization. The company is recognized for its innovative AI applications and data-driven solutions in various industries including finance, retail, manufacturing, and energy. As a trusted partner for AI and data integration, Hiflylabs excels in transforming legacy systems into modern, efficient platforms through technologies like predictive modeling, machine learning, and interactive knowledge bases.
• Design and implement Data Pipelines in Snowflake • Develop ingestion pipelines from various sources • Create data transformations with SQL, Python, PaaS and 3rd party tools (e.g. dbt) • Optimize existing pipelines and transformations for cost, load time, and maintainability • Help business users to formulate their needs on the one hand and to make the most of the data platform on the other hand.
• 2+ years of hands-on Snowflake experience. • 4+ intensive years in data transformation background. • Experience with AWS or GCP data stack components. • Strong technical and business English (oral, reading and writing).
• Flexible ways of working • Mentoring from your first day • Learning & Development opportunities • Supportive corporate culture
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