Mid Data Engineer with German

Responsibilities Design, build, and maintain scalable data pipelines and Big Data solutions Develop and optimize ETL/ELT processes Work with structured, semi-structured, and unstructured datasets Build and maintain data models and data warehousing solutions Develop distributed data processing solutions using modern Big Data technologies Collaborate with cross-functional teams, including Data Scientists, Analysts, and Software Engineers Ensure high quality, reliability, and performance of data solutions Participate in cloud-based data platform development and optimization Contribute to software engineering best practices and code quality improvements Requirements At least 4 years of experience in Data Engineering At least 3 years of hands-on experience in Big Data environments Strong knowledge of: SQL, Python, PySpark Experience with: data warehousing, data pipelines, distributed data processing, data modeling concepts Experience working with: structured, semi-structured, unstructured data Experience with at least one public cloud platform: Azure or AWS Very good German (spoken and written) Very good English (spoken and written) Nice to Have Experience with Databricks, Hadoop ecosystem, or streaming solutions Experience working in Agile environments Understanding of software engineering best practices and CI/CD concepts