Integration Analyst

SIKA; Madrid; On-site; EUR 60,000 - 80,000; Full time

Job summary

Sika AG in Madrid seeks a seasoned professional to own end-to-end requirements engineering for data integrations. The role analyzes source data models, maps data across applications, APIs and events, and develops canonical models and reusable patterns.

You will define interface contracts and data quality rules, while maintaining comprehensive project documentation. You will collaborate with Data & AI Integration Architects and Application Owners to ensure architecture alignment and efficient

Responsibilities

• 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.

Job description

• 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.