3 jobs found

Tasks   As a Senior Data Engineer you analyze a wide range of business problems, optimize processes and make an important contribution to the development of new business models in the eCommerce and healthcare environment. You will work in an agile, cross-functional product team on the following topics: You support the entire BI, analytics and data science stack with us. Together with the team, you take responsibility for the entire development process - from requirements gathering to design and implementation to the stable productive operation of the developed solutions. You have a very good understanding of business needs and are able to design suitable BI solutions based on the requirements of the business units. You work on our analytical platform based on Snowflake, AWS, Kubernetes, Terraform, Jenkins, Docker, dbt, etc. You develop and operate data pipelines, model data in the warehouse using SQL/dbt and create complex data products in Python. Based on your...

Job Description employment type full time permanent employment Full job description You build and monitor FEV's data governance as part of FEV's Digitalization & Transformation team You increase transparency, correlation, single point of truth and (global) availability of data while ensuring relevant data ethics and compliance requirements in a global enterprise You define FEV's data management and analytics strategy in line with FEV's enterprise architecture and business strategy You will set global standards and guidelines You will develop and drive a cloud-based data strategy that will enable FEV to implement a global KPI framework and enable data science organisations to deliver core and application solutions You will create data quality management processes to ensure compliant operational and regulatory reporting You work closely with data owners to improve data quality and availability You will be the central point of contact for...

Job Description employment type full time Full job description 100% position with PhD possibility Contact Name Alexander Feil Telephone workPhone +49 241 80-95712 Institution Chair for Anthropogenic Material Cycles and Institute for Processing, Coking and Briquetting Our Profile ANTS researches and develops solutions and methods to make anthropogenic material flows sustainable and recyclable. To this end, the "Sensor Technology" research group investigates the sensor-based characterisation of material flows: Using imaging sensors, material flows (e.g. plastic packaging) are first digitally recorded. Machine learning models and image processing algorithms are then used to extract process-relevant material flow properties (e.g. material composition, particle size distribution) from the sensor data. Based on these material flow properties, novel data science applications such as automated...