- 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.
Required
- Higher education in Computer Science, Information Systems, or related technical field.
- 3–5 years of experience in system integration, data analysis, or API-based data flows.
- Deep understanding of data modeling, data quality, metadata, and semantics.
- Ability to read and understand API specifications (OpenAPI…).
- Experience with integration technologies (e.g., MuleSoft, Boomi, API gateways…).
- Familiarity with cloud platforms.
- Experience working in agile environments.
- Excellent communication skills with technical stakeholders.
Additionally desired
- Previous experience as an API developer, data analyst, or integration engineer.
- Experience with event-driven architectures.
- Background in ERP or CRM data structures (SAP, Salesforce, etc.).
- Basic scripting (Python, SQL, Bash) for data exploration.
- Experience with ETL/ELT tools and lakehouse technologies (e.g., Databricks).
- Sika – Building Trust. Trust is the most important thing for us. We trust in the capabilities of all our Sika team members - every day.
- Friendly, personable, and often surprisingly uncomplicated, that's how many of our employees describe their working relationship at Sika. We call this the Sika Spirit.
- We offer an attractive employment package with good social benefits, excellent pension fund and accident insurance solutions
We offer competitive salaries, aligned with local market benchmarks and the specific scope and responsibilities of each role. Compensation is determined based skills relevant to the position, education and/or training. We are committed to fair and equitable pay practices in accordance with applicable laws and regulations.