Responsibilities

• Develop and maintain scalable data pipelines to process and analyze large datasets efficiently.
• Collaborate with cross‑functional teams to define data requirements and ensure seamless integration across systems.
• Implement data transformation, cleaning, and validation processes to ensure data integrity.
• Monitor and optimize data workflows for performance and reliability.
• Build and maintain data architecture to support business intelligence and analytics needs.
• Provide technical solutions to complex data challenges within the industrial and manufacturing domain.
• Stay updated with emerging technologies to continuously improve data engineering practices.
• Ensure compliance with data security and privacy regulations.

Qualifications

• A degree in Computer Science, Data Engineering, or a related field.
• Proficiency in programming languages such as Python, Java, ...