Data Engineer Jobs in Vienna

In this role, you will develop data pipelines using Azure Databricks, orchestrate them with Azure Data Factory, and optimize the Lakehouse architecture on Microsoft Azure while collaborating closely with BI developers and data analysts.

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 develop robust ETL/ELT data pipelines and enhance data architectures for analytics and AI applications while preparing complex datasets and ensuring data quality.

In this position, you will develop tailored data pipelines between HR systems and a modern data platform, ensuring data preparation for high-quality analyses and dashboards.

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 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 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 position, you will develop the digital and data strategy, design the data architecture, and lead teams to implement automation projects and AI applications to sustainably enhance the business value of the ATP Group.

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 ML-based solutions, integrate models into existing systems, and optimize workflows while applying MLOps practices like CI/CD and automated monitoring.

In this role, you ensure the quality of product data, support sellers with uploads and troubleshooting, develop catalog structures, and analyze faulty processes for continuous improvement.

In this role, you will develop data architectures and ETL concepts, unlock data sources, ensure data quality, and advise interdisciplinary teams and stakeholders to optimize data-driven processes.

In this role, you will design robust data pipelines on AWS, define data contracts with teams, and enable optimal ML workflows. You will implement CI/CD practices and ensure the scalability and security of the data infrastructure.

In this role, you will develop AI models and intelligent agents, implement automation solutions, and collaborate closely with teams to create technical solutions based on data analyses.