Delta Lake Jobs in Austria

In this role, you will develop modern data pipelines on Databricks, optimize ML workflows for Generative AI, and implement intelligent data access solutions for effective enterprise applications.

In this role, you will develop scalable data pipelines and lakehouse architectures on Databricks to process and serve structured and unstructured data for ML and Generative AI use cases.

In this role, you will develop data pipelines using Azure Databricks, orchestrate them with Azure Data Factory, and optimize the Lakehouse architecture on Microsoft Azure while collaborating closely with BI developers and data analysts.

In this position, you will build data solutions on the Databricks platform using PySpark and Delta Lake, maintain data pipelines, and optimize data quality through monitoring while mentoring junior team members.

In this role, you will develop data pipelines on Azure Databricks, integrate data from various sources, and optimize performance and monitoring to provide high-quality data for different business departments.

In this role, you develop AI-based features for products and implement them from prototype to deployment while designing scalable data processing pipelines and monitoring model data.

In this role, you will develop data pipelines on Azure Databricks, optimize their performance, and orchestrate them with Azure Data Factory to provide high-quality data for business departments.

In this position, you will develop CI/CD pipelines, design and operate Kubernetes environments, and secure platform architecture while closely collaborating with internal teams and clients.

In this role, you will develop AI-based features from the conceptual phase to deployment and monitor their evolution, while implementing robust data pipelines for large data volumes.

In this role, you design distributed data platforms, develop APIs and microservices in Python or Go, and implement ETL processes while collaborating closely with HPC and ML teams.

In this role, you will develop scalable data pipelines for processing large data volumes, build Data Warehouses in MS SQL Server and AWS, and integrate data from various sources into high-quality data products.