Snowflake Data Engineer with German

Job Description:

Join our team of data engineers and analytics specialists building modern data platforms for enterprise-scale reporting, automation, and AI-enabled use cases. In this role, you will work with Snowflake as the core cloud data platform, modern ETL/ELT orchestration tools, and AI-ready data engineering practices to deliver reliable, scalable, and business-oriented data solutions.

For our German client we are currently looking for:

Snowflake Data Engineer with German

Good command of German is required.

Key responsibilities:

• Design, develop, and maintain production-grade ETL/ELT pipelines in Snowflake using SQL, Python, and modern orchestration tools
• Build data models and dbt transformations for reporting and analytics
• Optimize SQL queries and Snowflake warehouse performance, and manage databases, schemas, and access controls to support efficient, secure data processing
• Integrate Snowflake pipelines with cloud storage and services, and contribute to Data Lake and Lakehouse solutions for ingestion, storage, and analytics
• Use Git and CI/CD tools to test, deploy, and document changes
• Cooperate with technical and business teams to understand requirements and deliver solutions, communicating in German

Required skills:

• Several years’ experience (3–5 years) as a Data Engineer, including in-depth practical experience with Snowflake as a data warehouse
• Strong hands-on experience with Snowflake development, including databases, schemas, stages, streams/tasks, views, stored procedures, performance tuning, and access management
• Good understanding of data warehouse design, dimensional modeling, Kimball methodology, data marts, and star/snowflake schemas
• Excellent SQL skills and practical experience designing efficient transformations, analytical queries, and reusable data models
• Experience building production-grade ETL/ELT pipelines with modern orchestration tools
• In-depth experience with dbt (development, testing and deployment of models)
• Good Python skills for data processing, automation, testing, and integration tasks
• Practical understanding of Data Lake and Lakehouse concepts, including ingestion, storage, governance, and analytics enablement
• Practical experience with at least one cloud platform, preferably Azure, AWS, or GCP, including storage, compute, networking, identity, and security basics
• Practical knowledge of Git, Azure DevOps or similar tools, code reviews, testing, and CI/CD practices
• Good communication skills and ability to work with both technical and business stakeholders
• Good command of German (minimum B2)

Nice to have: