Data Engineer Jobs in Austria

In this role, you will develop Power BI reports, work on optimizing data models and ETL processes, and connect various data sources to create meaningful dashboards and KPIs.

In this role, you will develop scalable AI and data architectures, integrate modern applications into existing systems, and oversee the technical implementation of innovative data solutions for our clients.

In this role, you will develop scalable data pipelines and enhance data processing workflows to visualize complex relationships and integrate them into production systems.

In this role, you will develop data pipelines in Databricks and Azure, monitor and optimize data processes, prepare data for the BI team, and contribute to the further development of the data architecture.

In this role, you develop and optimize data-intensive solutions using Python, create data pipelines, and integrate data for predictive maintenance while ensuring quality and performance.

In this role, you build data-driven decisions, develop Power BI dashboards, implement ETL pipelines with Python, focus on data quality, and architect robust data structures for optimal business insights.

In this role, you will build scalable ETL/ELT processes on Google Cloud, optimize BigQuery queries, and implement data architectures and real-time processing using Dataflow and Pub/Sub.

In this role, you will develop Big Data strategies with clients, analyze existing processes, and implement data-driven solutions while effectively presenting results and participating in workshops.

In this role, you identify problem statements, develop state-of-the-art algorithms, and implement solutions in an agile environment. You optimize workflows, collaborate closely with clients and management, and stay updated with the latest technologies.

In this role, you will build data pipelines, integrate data from various systems, and ensure high-quality data analysis to support BI dashboards and AI projects.

In this role, you will develop powerful data pipelines and ETL/ELT processes using Databricks and Google BigQuery, work on cloud integrations, and foster data modeling in the team to solve complex data challenges.

In this role, you will develop our Data Warehouse and implement a Customer Data Platform to promote data-driven decisions and sustainably enhance customer experiences.

In this role, you develop IT solutions for processing clinical data for medical research, analyze requirements, and design concepts to make data interoperable and standardized for use.

In this role, you will develop a modern data and AI platform, design a scalable lakehouse architecture, and implement data pipelines and compliance requirements within an interdisciplinary team.

In this role, you will develop internal data models and implement AI use cases while analyzing and preparing complex data to support key decision-making processes.