The Data Engineer will design and maintain analytics-ready data products, including transformations, datasets, pipelines, schema design, data quality, performance, security, and observability. The role uses dbt or comparable technologies, SQL, Python, CI/CD, automated testing, Git, and collaborates with domain teams and data consumers. A bachelor's or master's degree in a relevant field is required, while AI-tool and German-language experience are advantageous.
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