Senior Data Engineer (m/f/d)

Design, develop, and maintain scalable data models and ELT pipelines in Snowflake Build and optimize complex SQL transformations using dbt Model and harmonize SAP MM procurement data for enterprise analytics and AI solutions Ensure data quality through validation frameworks, monitoring, and reconciliation processes Deliver AI-ready datasets and collaborate closely with AI Backend Engineers and business stakeholders Drive performance optimization, best practices, technical improvements, and operational excellence Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field In-depth experience in Data Engineering or Data Warehouse Development Expert-level knowledge of Snowflake, SQL, and dbt Strong understanding of SAP MM procurement processes and data structures Proven experience with data modeling, ELT/ETL frameworks, and performance optimization Fluent English communication skills and the ability to work independently in international teams You benefit from exclusive access to interesting companies and exciting projects in collaboration with Hays as a solid and stable partner Compensation in accordance with the industry's collective agreement GVP Annual vacation entitlement of 30 days Working time account with the option to pay overtime or take time off in lieu Professional and trusting collaboration Our many years of recruitment experience and our expert knowledge of the engineering job market make us a strong partner for engineers and technicians. We maintain close relationships with customers across all industries and therefore can provide engineering specialists with exciting projects and attractive job opportunities, drawing on your personal interests and experience. As your professional companion, we support you throughout the entire process, from the first contact to the first day on your new job – all this completely free of charge. Register now and look forward to many interesting and suitable positions and projects.

Responsibilities

Design, develop, and maintain scalable data models and ELT pipelines in Snowflake Build and optimize complex SQL transformations using dbt Model and harmonize SAP MM procurement data for enterprise analytics and AI solutions Ensure data quality through validation frameworks, monitoring, and reconciliation processes Deliver AI-ready datasets and collaborate closely with AI Backend Engineers and business stakeholders Drive performance optimization, best practices, technical improvements, and operational excellence

Benefits

You benefit from exclusive access to interesting companies and exciting projects in collaboration with Hays as a solid and stable partner Compensation in accordance with the industry's collective agreement GVP Annual vacation entitlement of 30 days Working time account with the option to pay overtime or take time off in lieu Professional and trusting collaboration