Woodmark Consulting

Woodmark Consulting AG is one of the leading German IT consulting companies for Big Data & Analytics. Our solutions portfolio includes BI strategy, predictive analytics, reporting, planning and control systems, data integration, data warehouse and big data. In addition, we manage the complete BI landscape of our renowned customers in the area of ​​application management.

21/01/2026
Full time
Woodmark Consulting 85630 Grasbrunn, Germany
We make the world better with data Woodmark Consulting GmbH is one of Germany's leading IT consulting firms specializing in AI, Data & Analytics. We inspire people with our passion for data and innovation. Living our values ​​of respect, openness, trust, and care fosters an excellent company culture and forms the basis of our success. Harness your passion for data and innovation and unlock its potential with us. Together, we create added value for customers, society, and the environment. Your diverse range of tasks DevOps is a core principle throughout your work:   You will independently develop cloud and on-premises data pipelines as the foundation for data platforms within a DevOps team. Translating and implementing requirements:   Based on business requirements, you will create technical data engineering concepts and implement them in the code. You will apply your knowledge of technologies with appropriate tool support (coding, ETL, data prep, streaming),...
21/01/2026
Full time
Woodmark Consulting 85630 Grasbrunn, Germany
We make the world better with data Woodmark Consulting GmbH is one of Germany's leading IT consulting firms specializing in AI, Data & Analytics. We inspire people with our passion for data and innovation. Living our values ​​of respect, openness, trust, and care fosters an excellent company culture and forms the basis of our success. Harness your passion for data and innovation and unlock its potential with us. Together, we create added value for our clients, society, and the environment. Your diverse range of tasks You will develop AI and ML models   and the corresponding data pipelines   as part of a team . Translating and implementing requirements:   Based on business requirements, you will use ML inference techniques, fine-tune the AI ​​models, and perform prompt engineering for optimal results. Leveraging your experience, you will utilize Azure and AWS cloud services to deploy the AI ​​and ML models and integrate them into our overall architecture. You...