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 scalable data infrastructures on AWS, optimize data pipelines with Kinesis and Lambda, and support teams in using Amazon SageMaker Unified Studio independently.

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 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 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 modern data architectures and design data pipelines for the integration and transformation of data from various sources for decision-relevant analyses.

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 design and optimize Agentic Architectures and RAG for our AI assistant, develop serverless AI services, and ensure data integrity in high-performance pipelines.

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.