- Take full ownership and management of the end-to-end Requirements Engineering process.
Todos los posibles candidatos deben leer con atención los siguientes detalles de este trabajo antes de presentar una candidatura.
- 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. xqbhyrx
- Support governance processes for metadata, lineage, and API/interface versioning.
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📌 Integration Analyst (Madrid)
🏢 Sika
📍 Madrid