Data Engineer Jobs in Austria

In this role, you develop Big Data strategies and transform business processes for your clients by analyzing requirements and leading creative workshops, accompanied by implementations and communicating results.

In this role, you identify customer problems, develop and optimize algorithms and automation processes, and implement them productively in an agile environment.

In this role, you develop data pipelines for capturing and transforming data from various sources, optimize them for quality and security, and visualize results using analytics tools.

In this role, you will develop Power BI reports, ETL processes, and data models, optimize performance, and integrate data sources like SQL and APIs, while also creating applications with Power Apps and automating workflows.

In this role, you will develop scalable data pipelines and real-time analytics systems, optimize SQL queries, and work with modern data architectures to support data-driven decision-making.

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 assist in identifying and enhancing data processing workflows while developing prototype solutions that demonstrate AI-based decision support.

In this role, you will analyze process data from OP planning and the production of customized implants, identifying patterns and testing optimization potentials through simulations.

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 handle data breach incidents, coordinate data subject requests under GDPR, and assist in risk assessments while collaborating with various departments.

In this role, you support the implementation of regulatory requirements, develop modern data architectures and pipeline solutions, and advise clients on optimizing data management using technologies like Snowflake and Databricks.

In this role, you will develop statistical models and machine learning solutions for optimizing materials and automation while analyzing data and visualizing processes.

In this role, you will develop scalable data pipelines in Microsoft Azure, optimize automation and CRM workflows, and collaborate closely with Appian developers and Data Scientists within the Digital Hub Team.

In this role, you analyze and process customer requests in a managed services environment, support the monitoring and maintenance of IT systems, and document technical operational processes.