Apache Flink Jobs in Germany

In this role, you will develop scalable data pipelines using Python and SQL, optimize data models, and ensure data integrity through automated checks and self-service tools.

In this role, you will develop a local data platform, including data orchestration and streaming pipelines on Kubernetes, create proof-of-concepts with AI tools, and integrate workloads on edge data management systems.

You design and implement data pipelines for ingestion, ETL/ELT, and develop data models and storage solutions to ensure data quality and access for analytics and ML.

In this role, you tackle complex data architectures, implement solutions using cloud technologies, and ensure high data quality while communicating closely with departments and external partners.

In this role, you will design an ML platform that simplifies feature engineering, training, and model monitoring. You will standardize the infrastructure and collaborate closely with data scientists to create effective solutions.

In this role, you will develop tools for machine learning platforms, support data scientists in feature engineering, and standardize ML infrastructure for improved user experience.

In this role, you will operate our Kafka, Flink, Cassandra, and Redis services, automate processes, implement monitoring, and debug complex issues in a cloud-based environment.

In this role, you enhance the operational stability of data infrastructures by working with production systems, setting up monitoring, and developing automation solutions within a team.

In this role, you will develop efficient data pipelines and automate infrastructure processes for a scalable Data Platform while integrating cutting-edge technologies in Data Engineering and Analytics.

In this role, you will design robust data pipelines using Apache Kafka, build CDC-based ingestion pipelines, and ensure data quality to support real-time decision-making in logistics.

In this role, you will develop an innovative Feature Engineering Platform that simplifies the entire ML development process, from exploration to deployment and monitoring, by building APIs and user-friendly tools.

In this role, you will develop scalable data pipelines for AI/ML initiatives, collaborate closely with data scientists and engineers, and optimize ETL processes to enhance player experiences.

In this role, you will build robust data pipelines and feature stores for AI-powered systems in digital advertising to provide precise and consistent model data.