Pyspark Jobs in Germany

In this role, you will develop scalable ETL/ELT data pipelines for batch and streaming processing, utilize technologies like Spark and SQL, and support various client projects in data modeling.

In this role, you develop ML models for predicting churn and financial KPIs, operationalize them on Microsoft Fabric, and support business users with interactive data queries.

In this position, you will develop a Data Analytics platform on Microsoft Azure, integrate and prepare data, create scalable data pipelines and models for reporting, and assist in migrating systems to the cloud.

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 process vehicle-related data for AI applications, develop ETL/ELT pipelines, and design innovative data products to create high-quality, AI-ready datasets.

In this role, you will develop scalable and integrated solutions for reserving systems, working on the architecture of applications that support central financial processes while leveraging your technical expertise in Microsoft Azure and .NET.

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 will establish an Azure-based cloud infrastructure for a modern data platform, develop ELT data pipelines, and implement CI/CD pipelines using Databricks.

In this role, you design and operate data pipelines, transforming medical data into reliable datasets and ensuring data quality through robust ETL/ELT processes using Python and Spark.

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 iterate on credit risk models, optimize ML infrastructure, and integrate new data sources while collaborating closely with the engineering team and monitoring performance.

In this position, you develop data pipelines and optimize the quality of training datasets for AI applications, preparing industrial image data for automated inspections and providing support.

In this role, you will develop scalable data pipelines using Databricks and PySpark on Azure Cloud, optimize data quality, and integrate AI use cases in close collaboration with analytics teams.

In this role, you design Azure-based cloud platforms for Data and AI workloads, develop architecture blueprints, and ensure security, governance, and operational standards while collaborating closely with various teams.

In this role, you will enhance the Azure-based Global Data Platform, design ETL/ELT pipelines, and engage with LLM services and Data Mesh principles within interdisciplinary teams.