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 DescriptionJob 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.
Skills Required
- Bachelor's degree in computer science, data science, or similar field
- > 3 years experience in data engineering or data science
- Strong experience in data engineering and enterprise data integration
- Expertise in API development and integration (REST, OData)
- Experience with Boomi or similar iPaaS solutions
- Advanced SQL and data transformation skills
- Experience designing and operating ETL/ELT pipelines
- Knowledge of Snowflake or similar database/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 other 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
- Strong stakeholder engagement, communication, and problem-solving skills
BEUMER Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BEUMER Group and has not been reviewed or approved by BEUMER Group.
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Affordable Benefits — U.S. postings state the employer covers 100% of medical and dental premiums for employees and eligible dependents, with company‑paid life and long‑term disability. This materially reduces employee costs for core coverage and signals strong baseline healthcare value.
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Retirement Support — A 401(k) with employer match is consistently advertised alongside core benefits. This indicates company-backed long‑term savings support as part of the total package.
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Leave & Time Off Breadth — Generous paid time off, paid company holidays, and additional flex days are explicitly listed in recent postings. This breadth of time‑off options supports planned rest and flexibility.
BEUMER Group Insights
What We Do
The BEUMER Group is an international leader in the manufacture of intralogistics systems for conveying, loading, palletising, packaging, sortation, and distribution. With 5,400 employees worldwide, the BEUMER Group has annual sales of about EUR 1.2 billion. The BEUMER Group and its group companies and sales agencies provide their customers with high-quality system solutions and an extensive customer support network around the globe and across a wide range of industries, including bulk materials and piece goods, food/non-food, construction, mail order, post, and airport baggage handling. Long-term success instead of short-term profits To achieve long-term success, a company needs sustainable development and reliable partnerships. This requires trust and solid core values. Responsibility for products ... These values guide us in our efforts to continually and sustainably improve our products, processes, and organisation. Our pursuit of quality leadership leads to outstanding performance in our work, processes, products, services, and in the quality of our customers' results. ... and the environment For us, sustainability means a balance between environmental sensitivity, economic success, and social responsibility. Energyefficient, environmentally friendly, and safe production and product design are just as important as avoiding accidents and health risks. We achieve this through: • Energy-efficient product design • Future-oriented technologies • Prevention of environmental pollution, accidents, and health risks • Ongoing product optimisation and employee training • Commitment that goes above and beyond legal requirements Legal notice: https://www.beumergroup.com/en/legal-notice YouTube: https://www.youtube.com/user/BeumerGroup Facebook: https://www.facebook.com/BeumerGroup Twitter: https://twitter.com/BEUMERGroup
