Apache Spark Jobs in Germany

In this role, you lead complex data migrations from legacy systems to modern cloud lakehouse architectures. You design robust data pipelines, establish data quality standards, and communicate risks effectively to all stakeholders.

In this role, you assist clients with integration decisions, design secure data solutions on cloud platforms using Kubernetes, and take on mentoring functions in architecture matters.

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 develop a modern, decentralized self-service data platform by implementing services, APIs, and automations while creating infrastructure as code for efficient data processing.

In this role, you will enhance the existing analytics and AI infrastructure on Databricks, develop security measures and tools for efficient data management, and support colleagues with best practices in data utilization.

In this role, you will develop data-driven solutions, design and maintain data pipelines and models on Google Cloud, and optimize them with Apache Spark and Airflow for enhanced decision-making.

In this role, you will develop data pipelines using Databricks on Azure, build real-time applications with Kafka, and automate processes with Terraform while collaborating closely with the team.

In this role, you design decentralized data architectures and establish "Data as a Product" while advising teams on governance and data flows and implementing data quality frameworks.

In this role, you optimize CI/CD pipelines, implement cloud-native services using infrastructure as code, and ensure the operation of container applications in a hybrid cloud environment.

In this role, you will develop data-driven and AI-powered backends and APIs for internal applications and optimize our AI evaluation framework using modern technologies like Python, FastAPI, and Azure OpenAI.

In this role, you develop scalable applications for data consolidation and analysis for machine learning, implement ML pipelines, and work closely with data scientists on AI projects.

In this role, you will develop modern AI solutions, advise clients on implementing AI initiatives, and design scalable architectures using the latest technologies.

In this role, you develop solutions for efficient data storage and processing in cloud environments and implement data processing pipelines using Python and Spark for complex datasets.

In this role, you will develop, maintain, and optimize data pipelines using Python, Pandas, and Spark, implementing new data sources and ensuring reliable data flows up to analysis.

In this role, you will develop advanced machine learning and generative AI solutions, work on prototyping, data analysis, and integrate ML models into existing systems.