Apache Spark Jobs in Austria

In this role, you will develop semantic data models and data pipelines to realize digital products like Digital Twins, collaborating in a team on international IT projects for product development.

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 will develop automated data pipelines and workflows for AI applications, focusing on data integration and transformation, while closely collaborating with data scientists using modern technologies such as Kubernetes and Python.

In this role, you develop innovative AI solutions and implement data-driven applications, making a significant contribution to their transformation in businesses and industries. You work closely with clients, leveraging your analytical skills effectively.

In this role, you will develop scalable AI and data solutions, integrate innovative applications into existing systems, and design modern data architectures for data-driven transformations.

In this role, you lead a Data Engineering team, develop scalable Databricks pipelines, and coordinate projects with Data Scientists and Product Owners for efficient data integration and quality assurance.

In this role, you will develop real-time data pipelines using Cloudera tools like Kafka and Spark. You will optimize and automate processes, document your work, and contribute to the migration of pipelines to Databricks.

In this role, you create data architectures for renewable energy projects, operate ETL/ELT pipelines, and automate AI-powered workflows in cloud environments such as Azure.

In this role, you will design scalable data platforms for analytics and machine learning, automate workflows, integrate big data technologies, and ensure data security in an international team environment.

In this role, you develop ML/AI systems and orchestrate LLMs with agent frameworks while implementing RAG, establishing LLMOps, and conducting evaluations to optimize performance and costs.

In this role, you will develop tailored machine learning models using Python for customer business needs, implement them in processes, analyze data, present findings, and advise clients on their technical ecosystems.

In this role, you will design data models, build robust ETL pipelines, optimize data structures in cloud environments, and ensure data integrity according to governance standards.

In this role, you will develop scalable data architectures, integrate new data sources, and design innovative data processing applications for mobility data while collaborating closely with data scientists.