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