Data Engineer Jobs in Karlsruhe

In this role, you will develop data integration processes (ETL), design data models for Business Analytics and Machine Learning, and actively work in an agile team on innovative Big Data solutions.

In this role, you will develop data pipelines, perform data integration, and model data for process mining analyses while collaborating closely with clients and internal teams to create tailored solutions.

In this role, you analyze customer needs, develop and implement data pipelines using modern cloud technologies, and create data-driven models to optimize supply chain decisions.

In this role, you drive the development of AI-powered Data Engineering solutions, advise clients on Azure Cloud, and create technical architectures for personalized marketing campaigns.

In this role, you will develop modern analytics and AI solutions based on Microsoft technologies, realize scalable platforms, and implement innovative AI use cases while integrating and transforming data from various sources.

In this role, you lead a project team, implement AI-driven data engineering methods in the Azure Cloud, and optimize marketing campaigns through innovative data management solutions.

In this role, you develop applications for the digital platform and work on data integration and automation, collaborating closely with external service providers and managing requirements in multi-project management.

In this role, you will develop data processing pipelines for batch and real-time processing, implement Azure Functions, create Data Factory pipelines, and optimize ETL processes using PySpark and SQL in a modern cloud environment.

In this role, you will design scalable data pipelines and advanced data architectures with Snowflake, conduct internal training sessions, and provide strategic consulting to clients from conception to implementation.

In this role, you design and implement scalable data pipelines using Python and modern frameworks, optimize existing systems, and work with tools like Apache Airflow and Docker.