Data Engineer

• Delivering full life cycle solutions to clients, from data acquisition, engineering, modelling, analysis, and visualisation
• Running workshops with clients gathering information and communicating with clients on both business and technical level
• Designing and implementing robust ETL/ELT solutions in the Microsoft/Azure stack (Fabric/Databricks)
• Designing and implementing data lakehouse solutions with a medallion design approach
• Engineering scalable solutions to satisfy clients current and future needs
• Migrating on-premises data solutions to the cloud
• Reports, Dashboards and Analysis using tools such as Power BI to help clients visualise their data

Data Engineer

Working Student – Data Engineering, Prozessautomatisierung

Lead Data Engineer

Manager, IT – Data Engineering

Scientific Data Engineer

Data Engineer