Data Engineer

To strengthen our Data Science team in Bergheim (Salzburg), we are looking for a Data Engineer who will be responsible for developing, testing, and maintaining data processing and transformation routines and related data models as the foundation for data-driven business models.

The role’s focus is to work closely with Data-Science team members and subject matter experts from other parts of the PALFINGER organization to understand data requirements and to ensure high quality and timely delivery of data products.

• Design, implement and maintain data ingestion, transformation and provisioning.
• IMPORTANT RULES: - Maintain the original formatting and structure - Translate technical terms correctly (e.g., "Frontend", "Backend", "DevOps", "Scrum Master") - Use industry-standard terminology for HR and tech - Preserve the tone (formal/informal, you) - Translate only the text, do not add explanations - Keep the structure in lists - Technical terms that are used internationally may remain untranslated - Pay attention to correct grammar and natural flow Text to translate: Design data models and data architecture for effective data processing and storage.
• DataOps: orchestrate and monitor data load processes, ensure data quality.
• Support Machine Learning Operations (MLOps) with high-quality data products.
• IMPORTANT RULES: - Keep the original formatting and structure - Translate technical terms correctly (e.g., 'Frontend', 'Backend', 'DevOps', 'Scrum Master') - Use industry-standard terminology for HR and tech - Maintain the tone (formal/informal, you) - Translate only the text, do not add explanations - Maintain the bullet list structure - Technical terms that are internationally used may remain untranslated - Ensure correct grammar and natural flow Text to translate: Create and maintain documentation.