Data Engineer with German

• 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, and 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

• 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