Data Engineer

About the company

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.

Full job description

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.

Qualifications and requirements

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.

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.

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