Data Engineer
Core
Build and manage the data foundation, pipelines, and semantic models to enable AI accessibility and scalable enterprise data integration.
Role type
Senior Data Engineer (Enterprise Integration & AI Data Platform)
Builds
Scalable data pipelines, semantic models, API-based data exchange, and reusable integration patterns for AI and business analytics.
Domain
Manufacturing / Intralogistics / Enterprise Data & AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
API development (REST, OData), iPaaS (Boomi), ETL/ELT pipeline design, Advanced SQL, Semantic data modeling, Data governance, CI/CD/DevOps, Event-driven architectures, JSON/XML/Parquet handling, Data lake/warehouse architecture.
Preferred skills
AI/ML use case support, Real-time data integration, Systems thinking, Business requirement translation.
Technologies
Boomi, Snowflake, REST, OData, JSON, XML, Parquet, SQL, CI/CD tools.
Responsibilities
Design and maintain enterprise data integrations and API-based data exchange; Build and operate scalable data pipelines for business-critical data; Develop semantic models for AI and business consumption; Integrate ERP, CRM, HR, Finance, and Manufacturing systems; Monitor and optimize pipeline performance; Collaborate with stakeholders to prioritize data integration opportunities.
Seniority
Senior, hands-on IC