Data Engineer

BEUMER Group is a leader in the engineering and manufacturing of high-tech intralogistic systems for global markets. Our employees differentiate themselves by their ability to provide innovative solutions to our customers that incorporates a high-level of industry knowledge and a strong commitment to consistently and continuously expand their skills and knowledge. We fully support these high standards through a supportive teamwork structure, a mutual respect, and a working culture based on trust that fosters stability and security for all of our employees.  Job Responsibility:  - Build and manage the data foundation that makes AI accessible and scalable across the organization. - Enable seamless integration of enterprise data through APIs, middleware, and data pipelines. - Deliver trusted, high-quality, and AI-ready data assets for analytics, automation, and AI solutions. - Create scalable data products, semantic models, and integration frameworks that simplify data consumption. - Connect business applications, platforms, and external services to provide unified and accessible enterprise data.  - Design, develop, and maintain enterprise data integrations and API-based data exchange. - Build and operate scalable data pipelines that provide reliable access to business-critical data. - Integrate ERP, CRM, HR, Finance, Manufacturing, and external systems into the enterprise data platform. - Manage and optimize data ingestion, transformation, and delivery processes. - Develop and maintain semantic models that make data understandable and consumable for AI and business users. - Ensure data quality, lineage, consistency, and governance across integrated systems. - Create reusable integration patterns, data products, and data services. - Monitor, troubleshoot, and continuously improve integration and pipeline performance. - Support reporting, analytics, automation, and AI initiatives with trusted and accessible datasets. - Collaborate with business stakeholders to identify and prioritize data integration opportunities. - Contribute to the evolution of the enterprise data architecture and AI data platform roadmap. - Maintain technical documentation, standards, and best practices for integrations and data assets. Job Requirements: - Bachelor's degree with majored in computer or data science or similar field.  - > 3 years experience in data engineering / science.  - Strong experience in Data Engineering and Enterprise Data Integration. - Expertise in API development and integration (REST, OData). - Experience with Boomi or similar Integration Platform-as-a-Service (iPaaS) solutions. - Advanced SQL and data transformation skills. - Experience designing and operating ETL/ELT pipelines. - Knowledge of Snowflake or similar database and/or data lake solutions. - Understanding of data lake, data warehouse, and modern data platform architectures. - Experience with semantic data modeling and business data abstraction layers. - Knowledge of JSON, XML, Parquet and further common data formats. - Experience with source control, CI/CD, and DevOps practices. - Understanding of data governance, security, privacy, and compliance principles. - Experience supporting AI and machine learning use cases through data engineering. - Familiarity with event-driven architectures, messaging, and real-time data integration. - Passion for making data accessible, understandable, and usable for AI and business value creation. - Strong analytical and systems-thinking capabilities. - Ability to translate complex business requirements into scalable data solutions. - Strong stakeholder engagement and communication skills. - Collaborative mindset with the ability to work across business and technology functions. - Ownership mentality with accountability for end-to-end data solutions. - Strong problem-solving and troubleshooting capabilities. - Curiosity for emerging AI, data, and integration technologies.