Airflow Jobs in Germany

In this role, you will lead a Berlin team, develop a reliable data platform, and handle architecture decisions, data quality, and platform modernization for analytics applications.

In this role, you will develop systems for a Data Mesh, implement automated data quality mechanisms, and ensure precise data classification and security using modern technologies.

In this role, you will develop robust data pipelines and models, ensure data quality, and work on optimizing our data infrastructure for efficient analytics and reporting.

In this role, you will develop modern data pipelines and optimize data structures for Public Health Surveillance while ensuring data quality and implementing innovative ETL and data harmonization solutions.

In this role, you will develop machine learning models for processing large datasets and optimize existing algorithms for real-time applications. You will also conduct A/B testing and explore new data sources.

In this role, you implement cutting-edge ML algorithms for game personalization, conduct A/B testing, develop prototypes, and optimize player experiences based on data analysis.

In this role, you develop end-to-end data pipelines in Azure, model with dbt, and maintain the Data Vault model while ensuring data quality through testing and monitoring.

In this role, you will develop comprehensive data solutions, collaborating with cross-functional teams and building innovative cloud architectures on Azure while ensuring the quality of outcomes.

In this role, you develop backend services and data workflows for processing large datasets, working with Java and Spring Boot in a cloud-native environment while actively contributing to architecture and quality assurance.

In this role, you will develop smart product sortings using NodeJS and TypeScript, manage extensive data with Google BigQuery, and enhance high-performance APIs for minimal latencies.

In this role, you develop data pipelines, model data structures for data warehouses, implement quality checks, and closely collaborate with data scientists to provide reliable data for analysis and AI models.

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.