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