Snowflake Data Engineer (all genders)

As a Snowflake Data Engineer, you will work with departments to develop specific requirements for data pipelines, analyze and present data, and help customers build structured and reliable data processes. You will also participate in pre-sales and implement training for end-users and analysts on using Snowflake.

Requirements

• Experience in data platform projects, ideally with Snowflake
• Master data platform concepts (DWH / Data Lake / Data Lake House and Data Mesh) and data modeling with Data Vault 2.0. or classic modeling patterns like Snowflake and Star
• Cloud expertise in cloud data platforms and a cloud hyperscaler like AWS, GCP, or Azure
• ETL/ELT methodology with a strong focus on robustness and data quality
• Knowledge of common integration tools like dbt, Fivetran, Matillion, Talend, and Informatica
• Experience with AI tools and ability to critically evaluate results
• Fluent in German and good English skills