Bachelor/Master’s degree in Computer Science, Engineering, or a related field., 5+ years of working experience in the field of Data & Analytics, preferably in the area of product supply and the CPG industry, 3+ years of proficient coding experience with Python for data engineering, including SQL and PySpark (DataFrame API, Spark SQL, MLlib), with hands-on experience in various databases (SQL/NoSQL), key libraries (e.g., pandas, SQLAlchemy), parallel processing, and advanced data transformation and performance optimization techniques., Excellent data engineering & technology knowledge (Azure Data Lake Gen2, Azure Synapse, Databricks and Snowflake as well as data management knowhow (data cataloguing, data quality management), Solid understanding of data modeling, ETL processing and lakehouse concepts., Knowledge of CI/CD processes and tools (GitHub, Azure DevOps Pipelines), Profound data content knowledge (Supply Chain, Logistics, Quality Management) and Product Supply process knowhow, Experience in Agile methodologies (Scrum, Kanban), Strong problem solving and analytical skills, combined with impeccable business judgment. Excellent interpersonal and communication skills, active listening, consulting, challenging, presentation skills., Fluent in English, both written & spoken, intercultural awareness and willingness to travel

sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, life insurance, remote work opportunities, flexible working time, dental care, retirement pension plan, no dress code, video games at work, coffee / tea, parking space for employees, pre-paid cards, employee referral program, extra leave