Pyspark Jobs in Austria

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

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 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 handle requirements engineering, lead a development team, and optimize ETL solutions using Databricks, while ensuring compliance with architectural standards.

In this role, you are responsible for requirements engineering and backlog management while steering an agile development team and optimizing ETL solutions using Databricks.

In this role, you manage the backlog and lead a development team while optimizing efficient ETL solutions with Databricks and ensuring compliance with architecture and security standards.

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.

In this role, you will design robust data pipelines on AWS, define data contracts with teams, and enable optimal ML workflows. You will implement CI/CD practices and ensure the scalability and security of the data infrastructure.