Reos GmbH

Data Engineer

• You design and are responsible for the architecture and implementation of scalable ETL pipelines based on Microsoft Fabric.
• You ensure efficient, automated integration of heterogeneous data sources, including MySQL databases, APIs and others.
• The design, planning and implementation of AI and automation projects is a central part of your responsibilities.
• You ensure the further development of our data warehouse architecture by continuously adapting data models and structures to new requirements.
• You develop robust processes for data modeling, acquisition and production to provide a stable foundation for reporting, analytics and AI applications.
• You consistently maintain high standards of data quality, security and reliability and ensure integrity, availability and confidentiality across the entire pipeline.
• You actively monitor trends and technological developments in data engineering, AI and automation.

Senior Data Engineer, AI & Automation

• You will design and own the architecture and implementation of scalable ETL pipelines based on Microsoft Fabric.
• Ensure efficient, automated integration of heterogeneous data sources, including MySQL databases, APIs and others.
• Designing, planning and implementing AI and automation projects is a central part of your responsibilities.
• You ensure the ongoing development of our data warehouse architecture by continuously adapting data models and structures to new requirements.
• You develop robust processes for data modeling, ingestion and production to provide a stable foundation for reporting, analytics and AI applications.
• You maintain high standards of data quality, security and reliability and ensure integrity, availability and confidentiality across the entire pipeline.
• You actively track trends and technological developments in data engineering, AI and automation.

Senior Data Engineer – Focus on AI & Automation

• You are responsible for designing and implementing scalable ETL pipelines using Microsoft Fabric, ensuring efficient data integration from various sources, including MySQL databases, APIs and others.
• Designing and maintaining the data warehouse schema to support the company's evolving requirements is one of your core responsibilities.
• You develop processes for data modeling, extraction and production.
• You ensure the integrity, availability and confidentiality of data across the entire pipeline.
• You keep up to date with industry trends and advances in data engineering and recommend integrating new technologies or methods to gain a competitive advantage.