Azure Data Factory Jobs in Austria

In this role, you will develop a standardized KPI and reporting framework, create Power BI dashboards for market analysis and ad-hoc reporting, and model a reporting layer while ensuring data quality.

In this position, you model central datasets in Power BI, implement interfaces in the MS-SQL environment, and develop complex DAX calculations for reports while managing security and permissions via RLS.

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 efficient data pipelines for processing telemetry data, optimize data structures and models, and ensure data quality on cloud-based platforms.

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 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 design and develop ETL/ELT pipelines and scalable data products on a modern Microsoft Fabric data platform, collaborating closely with departments on self-service analytics and Power BI solutions.

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.