Airflow Jobs in Munich

In this role, you design scalable data pipelines, transform complex data, and collaborate with Data Scientists to deliver high-quality data products and develop innovative data solutions.

In this role, you will analyze high-volume event data, identify data discrepancies, develop predictive models using Python, and optimize SQL queries in a dynamic team to enhance user experiences.

You develop and operate scalable data solutions and pipelines for Marketing Intelligence in international CRM environments, including data modeling and API integrations in Salesforce.

In this role, you will design and maintain scalable data pipelines and architectures, efficiently integrate data sources, and collaborate with interdisciplinary teams on end-to-end solutions for data-driven projects.

In this role, you will develop data pipelines and long-running services on AWS to process large volumes of energy data and support decision-relevant dashboards.

In this role, you will develop containerized services on AWS ECS and orchestrate workflows using Airflow or Prefect while closely collaborating with analysts to define KPIs.

In this role, you develop containerized services on ECS, orchestrate workflows using Airflow or Prefect, and design data models to support analytics and reporting in the finance sector.

In this role, you will develop and maintain scalable cloud data platforms, implement data pipelines using technologies like Apache Spark and Kafka, and leverage DevOps tools for automation and integration.

In this role, you will develop and implement automation and integration solutions using n8n and Spring Boot. You will work on stable applications, migrate existing systems, and integrate REST APIs in large enterprise environments.

In this role, you will develop powerful data pipelines, optimize our data infrastructure, and collaborate closely with interdisciplinary teams to advance data-driven solutions using cloud platforms like Azure or AWS.

In this role, you will develop powerful and scalable data pipelines, optimize the data infrastructure, and work closely with interdisciplinary teams to realize and improve data-driven solutions.

Understand requirements and advise customers: In collaboration with the specialist departments, you will develop concrete requirements for the data pipelines and advise our customers on best practices and Snowflake data engineering features (such as...

Development, optimization and scaling of our data infrastructure and processes. Design and implementation of powerful, stable and scalable data pipelines. Applying advanced data modeling techniques to develop efficient and user-friendly data products....