Responsibilities Responsible for structuring, transforming, and analyzing data. Develop and maintain data pipelines and ETL processes. Work in a Databricks environment to process and analyze large datasets. Perform advanced data analyses to identify trends and patterns. Support business units by translating requirements into data models and reports. Prepare, clean, and transform data to ensure data quality. Develop and maintain reporting and visualization solutions. Collaborate closely with technical and business stakeholders. Document data processes, transformations, and results. Contribute to the continuous improvement of data processes and analytical approaches.
Requirements
Minimum of 6 years of experience in Data Analytics, Data Engineering, or a comparable field. Strong proficiency in Python for data processing and analysis. Experience with Databricks. Solid understanding of ETL processes and data integration. Strong analytical skills and an understanding of complex data structures. Ability to translate business requirements into data-driven solutions. Structured and independent working style with high attention to detail. Team player with experience working in interdisciplinary teams. Languages: German: fluent, English: C1.
