- Take full ownership and management of the end-to-end Requirements Engineering process.- Perform detailed analysis of source system data models, structures, and metadata.- Support source-to-target data mapping between applications, APIs, and events.- Document canonical models, semantic mappings, and reusable integration patterns.- Assess the technical feasibility of integration use cases.- Evaluate optimal integration patterns (API, events…).- Support architects in defining the target solution design.- Produce functional and technical specifications for integration and data flows.- Define interface contracts, mapping rules, data quality rules, error‑handling rules,



and validation checks.- Maintain clear and accurate documentation across all integration projects.- Work closely with Data & AI Integration Architects to ensure alignment with enterprise architecture.- Partner with Integration Engineers and Application Owners to implement data flows efficiently.- Support Data and AI Platform teams in designing ingestion strategies and metadata standards.- Develop detailed test scenarios for interface and data validation.- Support engineers in integration testing, regression testing, and data quality testing.- Validate end-to-end data flows post-implementation.- Contribute to continuous improvement of integration standards, templates, and best practices.- Support governance processes for metadata, lineage, and API/interface versioning.#J-18808-Ljbffr

📌 Integration Analyst (Madrid)
🏢 Sika
📍 Madrid