Airflow Jobs in Germany

In this role, you will develop scalable data products and pipelines using SAP and non-SAP data, work with Snowflake and dbt, and optimize data models for data-driven management in the Finance department.

In this role, you will develop scalable data pipelines and integrations to ensure AI solutions operate on high-quality, trusted data with robust access and governance structures.

In this role, you will design and implement robust data pipelines and analytics platforms using open-source technologies, ensure automated deployments, and integrate solutions into existing infrastructures.

In this role, you will develop ETL/ELT paths from various source systems, create data models, and lead projects. Moreover, you will support new technologies and provide training and mentoring for students.

In this role, you design system architectures for analytical data processing, create data models, conduct Proofs of Concept, and facilitate workshops and training sessions.

In this role, you develop data pipelines using Snowflake and tools like dbt and Airflow, analyze data, advise clients on best practices, and ensure robust data processes and governance policies.

In this role, you analyze customer requirements, develop tailored solution concepts, and conduct product demonstrations and workshops to showcase solutions with ANOW! Automate and ANOW! Observe.

In this role, you will develop scalable data pipelines and orchestrate workflows using Apache Airflow while managing and optimizing cloud data warehouses and DBT transformations in an agile environment.

In this role, you design and operate data pipelines, develop ETL/ELT processes, and ensure data quality in cloud environments while closely collaborating with interdisciplinary teams.

In this role, you develop ETL/ELT pipelines, maintain data structures, and ensure data quality through extensive monitoring to lay the foundation for ML and analytics projects.

In this role, you will support the operation and enhancement of our data platforms by administering databases such as PostgreSQL and Exasol while developing automations for operational tasks.

In this role, you will develop data models, define data products and business objects while supporting the implementation of data flows in Azure Databricks and Airflow, collaborating closely with teams.

In this role, you develop the data platform and ETL/ELT pipelines, create data structures, perform monitoring, and enhance data quality for AI projects and analytics.

In this role, you will be responsible for the technical implementation of Data & AI projects, lead a team, develop scalable data infrastructures, and bring AI models into operational use.

In this role, you will develop scalable ETL pipelines, integrate data from various sources, and ensure high data quality for analytics and machine learning. You will work closely with interdisciplinary teams.