Apache Flink Jobs in Germany

In this role, you will lead a team of 4-5 engineers, coordinate the roadmap, develop data streaming solutions, and foster a cross-cultural mindset for data-driven work in a B2B SaaS environment.

In this role, you will lead a team of 4-5 engineers in Data & Analytics, developing data solutions and ensuring effective knowledge sharing and implementation of technical standards.

In this role, you will lead a team of 4-5 engineers while actively working on the data platform and product adjustments, negotiating priorities with stakeholders, and developing technical guidelines for AI data governance.

In this position, you lead a team of engineers, foster agile data platform development, manage stakeholder collaboration, and drive data-driven innovation projects.

In this role, you will design cloud-native applications and data platforms, work on ontology modeling, and build data products on Azure while leveraging agile methods and AI tools.

In this role, you will develop high-throughput database integrations and optimize real-time data replication while tackling complex challenges in distributed architectures.

In this role, you will develop an AI-driven search engine, modernize data pipelines using Kafka and Flink, and work on infrastructure optimization for search indices and services across multiple markets.

In this role, you will develop powerful data integration tools for ClickHouse, manage efficient JDBC integrations, and optimize the processing of large datasets in real-time.

In this role, you will develop scalable data pipelines and optimize data models for analytics and AI applications while collaborating closely with various functional areas.

In this role, you will lead the design and implementation of significant platform changes in Product Integration, participate in design reviews, and elevate the team's engineering standards as a technical mentor.

In this role, you will develop modern data architectures and design data pipelines for the integration and transformation of data from various sources for decision-relevant analyses.

You develop an efficient Data and AI Platform while enhancing system architecture. You create REST APIs and Kubernetes Operators for automation, with your analyses and solutions being central to agile product development.

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.