Description
The Data Analytics Engineer independently owns data and analytics projects from requirements through implementation. The role involves analyzing customer requirements, coordinating with stakeholders, conducting workshops, creating and optimizing reports and dashboards, preparing and transforming data, developing and maintaining data pipelines, integrating data sources, and processing data with technologies such as Apache Spark, PySpark, SparkSQL, Microsoft Fabric, and Power BI. The position requires an IT-related degree or vocational training, extensive data/analytics project experience, strong reporting and data-modelling or pipeline and data-processing knowledge, ETL/ELT experience, and fluent German.
