Data Engineer Jobs in Vienna

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 innovative data models and implement effective data pipelines in Cloud and On-Premise to create data-driven solutions for sustainable AI industrialization.

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 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 AI models and intelligent agents, implement automation solutions, and collaborate closely with teams to create technical solutions based on data analyses.

In this role, you will design Kafka clusters, develop messaging solutions, and integrate data pipelines with legacy systems. You will also create technical guides and collaborate closely with platform teams.

In this role, you will develop cloud data pipelines on Azure, migrate on-premise solutions, and implement critical data quality mechanisms while closely collaborating with business units.

In this role, you develop ETL processes with SSIS, conduct SQL analyses, and design databases. You also coordinate system architecture requirements and are actively involved in business analysis.

In this role, you will design maintainable GenAI products and implement LLM-based solutions while closely collaborating with data teams and establishing end-to-end LLMOps environments.

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 be responsible for designing and implementing scalable data platforms, developing data pipelines using Apache Spark, and optimizing REST APIs for cloud solutions like Azure and AWS.