Azure Data Factory Jobs in Vienna

In this role, you will develop ETL/ELT processes using tools like Azure Data Factory, design data architectures, ensure data quality in applications, and actively participate in the planning and coordination of projects.

In this role, you will develop data pipelines and implement AI solutions, automate ETL processes using tools like Azure Data Factory, and support cloud deployments on platforms like AWS or Azure.

In this role, you will develop BI solutions, optimize ETL processes, and create data models and Power BI reports while closely collaborating with stakeholders to translate technical requirements.

In this role, you will develop data pipelines on Databricks using Python and Lakeflow, implement CI/CD pipelines, and automate infrastructure on Azure while collaborating with various teams.

In this role, you will develop Power BI models and dashboards, create Databricks pipelines, and utilize Azure Data Factory to deliver efficient data solutions and analytics.

In this role, you will develop cyber defense strategies, implement log management and SOC/SIEM architectures, advise clients on security measures, and support the analysis of cyber attacks and SOC optimizations.

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 role, you will develop scalable data solutions, implement robust ETL/ELT pipelines, and integrate diverse data sources to create efficient data models for analytical applications.

In this role, you support the design and implementation of data platforms in Azure and on-premises, work with SQL and Python, and collaborate directly with clients on data integration.

In this role, you will develop analytical data models and data products, optimize processes using SQL and Spark, and integrate data from various sources while collaborating closely with business departments.

In this role, you will develop maintainable data pipelines and products in Databricks using Python, implement Azure Data Factory for data ingestion, and ensure quality through testing and monitoring of data flows.