Data & Business Intelligence Engineer (m/f/d)

Welcome to WAGO in Corporate Analytics: We develop, evaluate, advise and accompany – different tasks that one has in common: without numbers and the right tools it is not running. Because You are our foundation for a round process and good cooperation in the team. Develop data models: Design and maintain robust data models for business intelligence solutions with SAP BW, SAP Datasphere, SAP Analytics Cloud (SAC) and Databricks Optimize BI Landscape: Analyze and improve existing BI solutions to help business processes more effectively and create added value Drive Cloud Integration: Support the Reorientation and Integration of Cloud-based Analytics Services into our Existing Data Landscape Implementation of ETL processes: Implement and maintain data extraction and transformation processes to ensure high-quality data delivery Design and implement solutions: design, develop and implement concrete solutions and further developments for specialist areas and national companies Collaboration & Documentation: Work closely with departments (e.g. Purchasing, PM, Sales), implement requirements and document implemented solutions carefully

Complete study of computer science, economic informatics or comparable qualifications Business Intelligence experience, ideally with SAP products (Business Warehouse, Datasphere, Analytics Cloud) Knowledge of the development and modelling of analytical data models (on-premise and cloud) Joy in consulting and communication through close exchange with specialist areas in German and English SQL knowledge and affinity for IT technologies; first experience with PowerBI of advantage Embossed analytical skills and structured working

Real added value with WAGO Plus - Because we support you with WAGO Plus as well as work – from parental leave to care for the relatives. High tech, but down to earth - Because we are both global players and family businesses from Germany. Career-Life? Win-win! Because we put on a 35-hour week, 30 days holiday and remuneration according to tariff. Small everyday helpers - Due to our small everyday helpers: laundry service, dinner-to-go and more. Mobile work - Because mobile work allows more flexibility in job and leisure. Promoting strengths - Because education never stops: we rely on individual training opportunities. .