Apache Iceberg Jobs in Germany

In this role, you will administer the central Kubernetes and Lakehouse platforms, further develop event platforms using Apache Kafka, and automate deployment processes with Ansible and Terraform.

In this role, you will develop a modern on-prem lakehouse data platform, optimize ETL processes, support the migration of data warehouse architectures, and ensure high data quality.

In this role, you define the Lakehouse architecture, develop standards and data products, mentor your team, and drive innovations in Analytics Engineering and AI.

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 design scalable data solutions on private and public cloud platforms, advise clients on architecture decisions, and take on mentoring roles for development teams.

In this role, you will develop highly scalable data lake systems and work closely with product teams to design innovative features while integrating open standards and technologies.

In this role, you will develop data ingestion and transformation layers using Apache Spark and AWS, optimize CI/CD pipelines, and work hands-on with modern AI tools to enable data-driven products.

In this role, you will develop data ingestion layers using Apache Spark and AWS services, automate workflows to enhance CI/CD pipelines, and manage infrastructure as code using AWS CDK and TypeScript.

In this role, you will develop high-performance pipelines to process massive datasets for AI applications, improve agent architectures, and ensure data integrity through automated validation processes.

In this role, you will design modern data solutions and architecture, collaborating with clients from requirements analysis through implementation, while also driving strategic portfolio development.

In this role, you will be responsible for developing and optimizing innovative AI and cloud-based solutions, working with data pipelines, and creating robust machine learning models within an interdisciplinary team.

In this role, you develop modern data solutions and architectures, lead customer projects from requirements to implementation in data management, and ensure integration into existing IT landscapes.

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 assist in the operation and expansion of an internal cloud infrastructure, administer our data lake, and manage AI services on GPU servers while focusing on backup strategies and monitoring.