Azure Data Factory Jobs in Austria

In this role, you implement AI processes and develop data pipelines, automating ETL/ELT processes with tools like Azure Data Factory while collaborating closely with clients on data-driven solutions.

In this position, you will develop data pipelines, automate ETL/ELT processes, and manage modern data architectures while planning projects and ensuring consistent data quality.

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 design and build data workflows using Fabric Data Pipelines, optimize ETL/ELT processes, and write efficient SQL for data processing in a dynamic cloud environment.

In this role, you will develop robust data integrations and APIs to seamlessly link digital processes with real construction sites and implement the company's data strategy.

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 scalable data products and ETL/ELT pipelines using Microsoft Fabric, design semantic models in Power BI, and apply DevOps principles for smooth deployments.

In this role, you will develop secure and user-friendly web interfaces for AI and analytics projects, collaborate closely with data scientists, and create reusable UI components and documentation.

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.

In this role, you design and implement integration frameworks for seamless data flow, develop ETL processes, and evaluate DR strategies while closely collaborating with cross-functional teams.

In this role, you will develop autonomous AI agents for process automation and optimize energy efficiency and supply chains through data analysis, while building data pipelines for heterogeneous sources.

You develop self-learning energy management algorithms in Julia and optimize data pipelines for integrating IoT, ERP, and CRM data to create data-driven systems.

In this role, you will develop data pipelines, optimize data ingestion and processing, and build CI/CD pipelines using modern cloud technologies like Azure and Databricks for analytical solutions.