Pyspark Jobs in Austria

In this role, you will develop powerful data pipelines and ETL/ELT processes using Databricks and Google BigQuery, work on cloud integrations, and foster data modeling in the team to solve complex data challenges.

In this role, you will develop modern data architectures and scalable data pipelines, implement cloud-based solutions using Microsoft Fabric and Databricks, and create insightful dashboards with Power BI.

In this role, you will develop scalable data pipelines, integrate data from various systems, and optimize data quality and performance for BI and analytics solutions.

In this role, you develop statistical models for sales forecasting, conduct assortment and space analyses, and present your findings clearly to international stakeholders.

In this role, you will develop data pipelines in Snowflake and GCP, identify cloud solutions, actively shape the analytics landscape, and take responsibility in international projects.

In this role, you will build scalable ETL/ELT processes on Google Cloud, optimize BigQuery queries, and implement data architectures and real-time processing using Dataflow and Pub/Sub.

In this role, you analyze and specify data requirements, identify relevant data sources, and develop scalable data pipelines on Azure and Databricks for various use cases.

In this role, you will configure Databricks workspaces implementing Unity Catalog, collaborate with Data Engineers, contribute to platform improvements, and ensure data governance compliance.

In this role, you design and implement data architectures and AI solutions, integrate industry processes into the central data platform, and develop Power BI reports and AI use cases based on Microsoft Fabric and SAP BDC.

In this role, you will design and build scalable data pipelines, integrate data from various sources, and optimize data architectures. You will also ensure data quality and security while collaborating closely with IT and business teams.

In this role, you will develop innovative data solutions on the Databricks platform in Azure, optimize platform performance and governance, and promote AI-driven analytics for business departments.

In this role, you will develop machine learning models to solve real business problems and work with complex datasets while closely collaborating with interdisciplinary teams.

In this role, you will develop ML-based solutions and integrate them with the Data Engineering team into existing systems while ensuring scalability and performance of the models.

In this role, you will develop ML-based solutions, integrate models into existing systems, and optimize workflows while applying MLOps practices like CI/CD and automated monitoring.