Big Data IT & Developer Jobs in Vienna

In this role, you will develop new products and features for existing software solutions, collaborate closely with various stakeholders, and ensure data protection while maintaining thorough documentation.

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 analyze problem statements, develop and implement cutting-edge algorithms and generative AI models, and automate workflows in an agile team environment.

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 will design data projects and develop machine learning in Python. You will work on challenging customer projects, optimizing models while collaborating closely with engineers.

In this role, you advise clients in the energy sector on digital transformation, develop tailored IT strategies, and lead projects for process optimization using new technologies like IoT and AI.

In this role, you operate the Wien Energy Group's Big Data platform, handling maintenance and enhancement, implementing automation and monitoring processes, and supporting Data Engineers in 3rd level support.

In this role, you lead a 10-member team in the Data Warehouse area, design the DWH architecture, optimize existing solutions, and ensure compliance with data protection regulations while collaborating closely with stakeholders.

In this role, you will design and optimize data center architectures, handle troubleshooting for backbone networks, and continuously develop automation strategies and security designs for the network.

In this role, you will analyze and visualize large data sets, apply data mining techniques, and perform statistical analyses to derive insights from clinical studies.

In this role, you will drive innovative product capabilities focusing on performance and scalability, define product strategy, and collaborate closely with R&D teams, stakeholders, and customers on concrete solutions.

In this role, you will develop efficient data models, integrate data from various sources, optimize ETL processes, and ensure data quality in cloud environments.

In this role, you will develop analytical data models and data products, optimize processes using SQL and Spark, and integrate data from various sources while collaborating closely with business departments.

In this role, you will develop maintainable data pipelines and products in Databricks using Python, implement Azure Data Factory for data ingestion, and ensure quality through testing and monitoring of data flows.

Managing and structuring large medical databases. Optimization of scientific data pipelines and databases. Coordination of data transfer and data security. Close collaboration with AI researchers, clinicians and scientists.