Pyspark Jobs in Germany

In this role, you will develop modern data architectures on Google Cloud Platform, build efficient ETL/ELT processes, implement real-time data processing, and optimize BigQuery queries for various data sources.

In this role, you will develop Corego's data platform on Databricks, manage data ingestion and architecture, monitor operations, and optimize data pipelines and quality in a dynamic environment.

In this role, you will develop data-intensive applications on Databricks, prepare data, and advise departments on integrating various data systems while ensuring data quality.

In this role, you analyze customer requirements, develop reports and dashboards using Power BI or Tableau, and optimize data pipelines using technologies like Apache Spark and MS Azure.

In this role, you optimize and develop a modern data platform on Microsoft Fabric, create Power BI dashboards, and ensure adherence to governance standards in data integration and visualization.

In this role, you will develop scalable data infrastructures and ML solutions, lead a team of Data Scientists and Engineers, and deploy AI use cases into production.

In this role, you will develop end-to-end Data Science and AI solutions, create custom AI models using LLMs, analyze large datasets, and implement MLOps practices to enhance business processes.

In this role, you will design scalable Lakehouse architectures using Azure Databricks, integrate platforms into existing data landscapes, and implement DevOps standards to create data-driven solutions for clients.

In this role, you design and operate modern data platforms on AWS, Azure, or GCP, automate infrastructure with Terraform, and integrate streaming architectures using Kafka.

In this role, you will develop data processing pipelines in batch and real-time using Azure Functions, Data Factory, and Databricks, focusing on ETL processes and data analysis.

In this role, you will improve the data platform in Microsoft Fabric and Azure, manage automated data flows, ensure the quality of our product data feeds, and expand reporting in Power BI.

In this role, you design scalable Lakehouse architectures on Azure Databricks, implement data solutions for business areas, and develop CI/CD standards and ML applications.

In this role, you design and implement data flows and databases in the Azure Cloud, closely collaborating with clients to transform their requirements into efficient data pipelines.

In this role, you will develop data integration solutions on Databricks, implement scalable data architectures, and lead cloud data engineering projects in collaboration with teams and clients.

In this role, you design and operate data pipelines, develop ETL/ELT processes, and ensure data quality in cloud environments while closely collaborating with interdisciplinary teams.