Senior Data Engineer

Responsibilities: • Co-drive the solution design together with the Business Analyst, from business needs to technical architecture. • Define target architecture and design options aligned with UDP principles (cloud-native, scalable, secure). • Design logical and physical data models, data flows, and integration patterns. • Assess feasibility, complexity, risks, and dependencies early, supporting fact-based decisions. Key Competences: • min. 5 years of experience as a Data Engineer • Conceptual, logical, and physical data architecture • Analytics/data-product design mindset • Experience with cloud-native architectures (e.g., Azure, Databricks-based platforms) • Strong SQL, Databricks, and data transformation skills • Experience modernizing legacy data solutions (e.g., SSIS → cloud platforms) • Understanding of batch, incremental/CDC, and event-driven patterns