What you can expect

• Design, build, and maintain scalable data pipelines and data-processing solutions

• Develop and optimize data architectures for batch and real-time processing

• Integrate data from various sources

• Ensure data quality, security, governance, and compliance

• Improve the performance, reliability, and transparency of data platforms

• Collaborate with IT product teams, data analysts, and business departments

• Establish and promote best practices in data engineering, testing, documentation, and version control

• Evaluate new technologies and help shape the future data platform

What makes you special

• Several years of professional experience in data engineering or a related field

• Strong programming skills in Python or PySpark

• Experience designing and implementing ETL/ELT pipelines

• Solid knowledge of SQL and relational databases

• Practical experience with data warehouses, data lakes, or lakehouse architectures

• Experience with cloud platforms such as Azure

• Experience with orchestration tools such as Airflow , Azure Data Factory , or similar is an advantage

• Familiarity with CI/CD, Git, automated testing

• Understanding of data modeling, data governance, and data security

• Strong analytical and problem-solving skills

• Good communication skills and the ability to work effectively in an international team

• Fluent in German and English