Airflow Jobs in Austria

In this role, you will develop scalable web-native data platforms using Python (FastAPI) and cloud technologies like Kubernetes and Terraform, focusing on optimizing complex applications for biomedical research.

In this role, you will develop robust data models and implement efficient data pipelines to support customer-centric decisions in retail and ensure data quality.

In this role, you will be responsible for designing and implementing scalable data platforms, developing data pipelines using Apache Spark, and optimizing REST APIs for cloud solutions like Azure and AWS.

You design and optimize scalable data platforms, develop cloud-native data pipelines, and implement REST APIs with Python, while acting as a technical sparring partner for process optimization.

In this role, you will design and operate scalable data platforms, develop ETL processes using Apache Spark, and orchestrate data flows in the cloud or on-premises while implementing everything in Python and modern APIs.

In this role, you will design data models, implement historization strategies, and optimize data pipelines to support CRM data requirements and ensure data quality.

In this role, you design and implement scalable data architectures and develop ETL/ELT pipelines in Python while integrating modern AI components and establishing data governance concepts.

In this role, you will develop complex data models and analytics solutions, automate data processes using Python, and design powerful dashboards with Power BI, all while ensuring data quality and integrating modern AI applications.

In this role, you design, develop, and maintain data models tailored to business applications, ensuring accurate data tracking through historization across various systems.