Airflow Jobs in Vienna

In this role, you will build ETL/ELT processes, optimize data pipelines, and implement LLM frameworks while closely collaborating with other teams to integrate AI services into production.

In this role, you will design data models, implement historization strategies, and optimize data pipelines to ensure precise, scalable, and maintainable data structures that meet business requirements.

In this role, you will develop complex data models using SQL and dbt, create dashboards in Power BI, and automate data processes with Python while integrating innovative approaches to leveraging AI technologies.

In this role, you will design data models for CRM-related data and implement historization strategies. You will optimize data pipelines, collaborate with cross-functional teams, and ensure data quality and consistency across systems.

You will develop and operate the ML platform for training and on-device deployment, build scalable data/training pipelines, and automate CI/CD, testing, quantization and packaging with Docker, Kubernetes and TensorFlow/PyTorch.

In this role you develop and maintain dbt models using SQL and Python, shape the core data model, ensure data quality, orchestrate Airflow pipelines, analyze metrics for product, finance and ops and build actionable dashboards.

In this role you build and operate the ML platform for on-device models: implement scalable data and training pipelines, automate CI/CD, quantization and testing, and manage deployments, monitoring and optimization.

In this role, you design distributed data platforms, develop APIs and microservices in Python or Go, and implement ETL processes while collaborating closely with HPC and ML teams.

In this role, you will design and develop complex data models, implement historization strategies, and optimize data pipelines for CRM data. You will collaborate closely with cross-functional teams to connect data and business requirements.