Azure Databricks Jobs in Germany

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 modern data products on our Azure Databricks platform, manage a data domain, and be responsible for integrating new data sources and modeling business logic.

In this role, you shape our data platform, develop data products for various business areas, and automate data pipelines on Azure Databricks while collaborating closely with the departments.

In this role, you will develop modern data products on the Azure Databricks platform, manage data pipelines, ensure data quality, and work closely with business departments.

In this role, you will develop modern data products and actively shape our data platform on Azure Databricks by creating data pipelines, ensuring quality, and closely collaborating with business departments.

In this role, you develop and optimize data models and reports within SAP and Azure Databricks, integrate new data sources, and support AI-driven analytics use cases to enhance business processes.

In this internship, you will develop AI-driven solutions, process large datasets in Azure, work on AI agents, and support the creation of knowledge graphs for innovative data projects.

In this role, you develop data platforms within the Microsoft ecosystem, create ETL pipelines and data models using Python, SQL, and Azure services, and analyze documentation for modern AI applications.

In this role, you will develop data-driven solutions and optimize data platforms by building databases and data warehouse architectures, while implementing ETL processes using technologies like Apache Spark.

In this role, you will develop Azure-based data pipelines, integrate data sources, and create models for BI and AI applications, while fostering close collaboration with clients and teams.

In this position, you create modern data platforms and lead projects, make architecture decisions, and translate requirements into effective data solutions while establishing standards for governance and quality.

In this role, you will develop data processing pipelines for batch and real-time processing, implement Azure Functions, create Data Factory pipelines, and optimize ETL processes using PySpark and SQL in a modern cloud environment.

In this role, you design and implement complex data infrastructures on Microsoft Azure, develop data warehouses and pipelines, and lead workshops to enhance team development.

In this role, you will develop modern data platforms, integrate heterogeneous data sources, and optimize ETL pipelines to ensure stable data architecture in cloud environments.