Airflow Jobs in Germany

In this role, you lead a team of Data Engineers, develop data pipelines and dashboards for clients, optimize data integration and reporting processes, and serve as the technical point of contact for client requirements.

In this role, you develop the data foundation for AI products, shaping the design of data pipelines and making architecture decisions within the Data Stack using tools like dbt, Airflow, and BigQuery.

In this role, you will manage data services in Google Cloud, develop efficient pipelines, and optimize their performance and costs. You will collaborate with the team on complex challenges using technologies like Apache Airflow and BigQuery.

In this role, you will develop complex machine learning models and backtesting frameworks to analyze real-time esports data. You will enhance model performance and implement them into production-grade pipelines.

In this role, you will develop high-performing data flows in Google Cloud, optimize cloud architecture, and implement automated validation processes while closely collaborating with interdisciplinary teams.

In this role, you will develop robust data pipelines using Python and Apache Spark, transforming data for SaaS products while optimizing the entire ETL process with a focus on data quality and cost.

In this role, you design data pipelines for medication and clinical data using Python, FastAPI, and Spark, optimize ETL processes, and collaborate closely with Product Management and AI Engineers on innovative data products.

In this role, you design and operate data pipelines, transforming drug and clinical data into high-quality datasets while closely collaborating with teams on AI features and integrations.

In this role, you will develop advanced computer vision models, implement them on cloud and edge environments, and enhance data pipelines for real-time analysis and model recognition in various applications.

In this role, you define standards and best practices for our data platform, lead the implementation of data contracts, and consult on the architecture of data products and infrastructure.

In this role, you will develop reliable data pipelines using SQL and Python, modernize legacy systems to the cloud, and implement robust data integration patterns for efficient data processing.

In this role, you will develop a cutting-edge search engine using Node.js and TypeScript, manage extensive data in Google BigQuery, and optimize high-traffic APIs to enhance performance.

In this role, you develop comprehensive machine learning solutions by overseeing the entire ML lifecycle, from model development to deployment and monitoring while collaborating closely with your team.

In this position, you will develop scalable data models, optimize event tracking with Google Analytics 4, and support reporting by creating trusted data sources to enable informed business decisions.

In this role, you will develop scalable ETL/ELT data pipelines for batch and streaming processing, utilize technologies like Spark and SQL, and support various client projects in data modeling.