Airflow Jobs in Germany

In this role, you develop Machine Learning models for fraud protection and compliance, prepare training data, conduct feature engineering, and optimize models while closely collaborating with stakeholders and the infrastructure team.

In this role, you will develop robust data pipelines and automated ETL processes using Python and Apache Airflow. You will integrate data sources, ensure data quality, and optimize performance in interdisciplinary projects.

In this role, you analyze financial data, develop Qlik dashboards, and design BI solutions to advise business units on key figures and decision-making processes, supporting close-related financial analyses.

In this role, you will design and develop an analysis and model development platform in the banking sector, implementing Dev(Sec)Ops principles to optimize processes while maintaining close collaboration with specialist teams.

In this role, you design and develop a central analytics platform in the banking sector while driving automation processes and implementing AI-assisted approaches.

In this role, you will develop data-driven solutions, design and maintain data pipelines and models on Google Cloud, and optimize them with Apache Spark and Airflow for enhanced decision-making.

In this role, you develop data-driven solutions by designing scalable ETL processes and maintaining data pipelines in Azure Cloud, collaborating closely with data scientists and analysts.

In this role, you will develop data pipelines using Databricks on Azure, build real-time applications with Kafka, and automate processes with Terraform while collaborating closely with the team.

In this role, you will independently develop data science use cases, build predictive models, deploy them to production, and continuously optimize their performance while collaborating closely with cross-functional teams.

In this role, you will develop scalable data pipelines, implement ETL/ELT workflows, and ensure data integrity and security for data-driven decision-making.

In this role, you develop scalable applications for data consolidation and analysis for machine learning, implement ML pipelines, and work closely with data scientists on AI projects.

In this role, you will develop, maintain, and optimize data pipelines using Python, Pandas, and Spark, implementing new data sources and ensuring reliable data flows up to analysis.

In this role, you lead a specialized team, develop an ML/AI Ops platform, and integrate AI models into existing systems using GCP and Kubernetes.

In this role, you manage the company-wide data catalog, develop data lineage, define data ownership concepts, and create technical requirements while ensuring compliance with data protection regulations.

In this role, you design innovative Agentic AI solutions and orchestrate workflows while shaping hybrid systems, ensuring Azure services integration, and building an internal community.