Data Engineer Jobs in Austria

In this role, you identify and analyze problem statements, develop and implement algorithms in an agile environment, optimize workflows, and implement solutions to create business value.

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 data-driven business strategies, analyze existing processes, and formalize customer requirements while closely collaborating with Data Scientists and Data Engineers.

You analyze and optimize data flows in the Manufacturing Execution System (MES), resolve interface issues with SAP and process control systems, and work on sustainable solutions for process safety and data quality.

In this role, you will design and build scalable data pipelines, integrate data from various sources, and optimize data architectures. You will also ensure data quality and security while collaborating closely with IT and business teams.

In this position, you will develop effective data models and pipelines to integrate data from various sources like Salesforce and Google Analytics while continuously improving data quality through established standards.

In this role, you design custom data solutions, build data lakes, and optimize MS SQL and Oracle databases. You work with modern data stacks and provide 3rd level support while assisting customers.

In this role, you manage the Data Integration Platform for enterprise-wide data exchange, coordinate operations with external suppliers, and ensure compliance with SLAs and KPIs across all service processes.

In this role, you will create a motivating work environment for Data & AI teams, manage capacities, and take responsibility for people development and resource planning across 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 innovative AI solutions, analyze large datasets, and design data models and algorithms for trend prediction using statistics and machine learning techniques.

In this role, you will develop data pipelines and ELT processes, optimize serverless AWS architectures, and closely collaborate with software development and data analytics to enhance the data platform.

In this role, you analyze and visualize complex clinical data, develop machine learning models, and are responsible for monitoring solutions to identify relevant trends and insights.

In this role, you will develop data platform strategies and be responsible for implementing complex transformation programs using technologies like Microsoft Fabric and Azure.

In this role, you will develop innovative data solutions on the Databricks platform in Azure, optimize platform performance and governance, and promote AI-driven analytics for business departments.