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PPrenode
Karlsruhe, Germany11 months ago
A dynamic and ambitious environment that guarantees a steep learning curve and opportunities for growth. A flexible and modern work culture that offers you the advantages of modern digital possibilities and tools. Innovative new technologies and approaches that ensure your daily work is meaningful and efficient. A dedicated team committed to collaboration and mutual learning.
Our benefits at a glance:
Developing robust hybrid data pipelines: You will develop data pipelines from secure on-premise client environments to the cloud and back. You will elegantly solve access restrictions, whether in Azure, AWS, or others.
Centralized AI data architecture: You will be responsible for core data processing to strengthen and evolve the foundation for AI usage.
End-to-End MLOps: You will transfer AI models from the cloud into client operational networks and develop processes for robust on-premise inference services. You will transform generalizable Data Science steps into scalable MLOps steps.
Infrastructure as Code: You will implement infrastructure using Terraform. You will create reusable assets and standards for the rapid and secure deployment of complex infrastructures (Data Lakes, clusters) for new clients and projects.
Teamwork and ML Understanding: You will work closely with Data Scientists and possess a technical understanding of machine learning to optimally transform their requirements into performant infrastructure.
Engineering Mindset: You have experience with Infrastructure as Code (e.g., Terraform), modern workflows like Git, and containerization (e.g., Docker). You write code for modular, reusable components and are interested in professionalizing CI/CD pipelines, GitHub Actions, DevOps, or ML lifecycle processes. You adhere to the DRY principle from the outset.
Data Engineering & Scripting Expertise: Very good knowledge of a modern programming language (e.g., Python) and experience implementing complex data pipelines, as well as training ML models in Big Data environments (e.g., Databricks/Spark).
Cloud and Hybrid Architecture: Deep experience with cloud services for data integration and storage (e.g., Azure Data Factory, Data Lake) and ideally in an IoT environment (e.g., Azure IoT Hub). You understand complex "edge" infrastructures (Self-hosted Runtimes, Firewalls, VNETs) to make data from isolated client environments usable.
Language and Communication: Excellent German language skills, both spoken and written, are expected. You can clearly articulate technical requirements and find pragmatic solutions for complex IT landscapes.
Orchestration: Basic knowledge of container orchestration (e.g., Kubernetes) will be an advantage.
Each of us acts like an entrepreneur: we value the freedom to work independently and achieve tangible results. We support flat hierarchies.
We help innovators succeed: We are innovation evangelists! Innovation = Idea + Implementation + Added Value! Our goal is to help clients successfully realize their projects.
We act responsibly and are team-oriented: everyone takes responsibility for their tasks but always keeps the overall goal in sight.
We are ahead of the competition by learning faster: we want to constantly develop, try new things, and quickly integrate acquired experience into improvements.
We care about what we do and how we do it: we treat ourselves, the people around us, and our tasks with care and respect.
We compare skills, grade, work format and salary
Grade
Senior
Work format
Remote
An email or a Telegram message to the recruiter
Each of us acts like an entrepreneur: we value the freedom to work independently and achieve tangible results. We support flat hierarchies.
We help innovators succeed: We are innovation evangelists! Innovation = Idea + Implementation + Added Value! Our goal is to help clients successfully realize their projects.
We act responsibly and are team-oriented: everyone takes responsibility for their tasks but always keeps the overall goal in sight.
We are ahead of the competition by learning faster: we want to constantly develop, try new things, and quickly integrate acquired experience into improvements.
We care about what we do and how we do it: we treat ourselves, the people around us, and our tasks with care and respect.
Developing robust hybrid data pipelines: You will develop data pipelines from secure on-premise client environments to the cloud and back. You will elegantly solve access restrictions, whether in Azure, AWS, or others.
Centralized AI data architecture: You will be responsible for core data processing to strengthen and evolve the foundation for AI usage.
End-to-End MLOps: You will transfer AI models from the cloud into client operational networks and develop processes for robust on-premise inference services. You will transform generalizable Data Science steps into scalable MLOps steps.
Infrastructure as Code: You will implement infrastructure using Terraform. You will create reusable assets and standards for the rapid and secure deployment of complex infrastructures (Data Lakes, clusters) for new clients and projects.
Teamwork and ML Understanding: You will work closely with Data Scientists and possess a technical understanding of machine learning to optimally transform their requirements into performant infrastructure.
Engineering Mindset: You have experience with Infrastructure as Code (e.g., Terraform), modern workflows like Git, and containerization (e.g., Docker). You write code for modular, reusable components and are interested in professionalizing CI/CD pipelines, GitHub Actions, DevOps, or ML lifecycle processes. You adhere to the DRY principle from the outset.
Data Engineering & Scripting Expertise: Very good knowledge of a modern programming language (e.g., Python) and experience implementing complex data pipelines, as well as training ML models in Big Data environments (e.g., Databricks/Spark).
Cloud and Hybrid Architecture: Deep experience with cloud services for data integration and storage (e.g., Azure Data Factory, Data Lake) and ideally in an IoT environment (e.g., Azure IoT Hub). You understand complex "edge" infrastructures (Self-hosted Runtimes, Firewalls, VNETs) to make data from isolated client environments usable.
Language and Communication: Excellent German language skills, both spoken and written, are expected. You can clearly articulate technical requirements and find pragmatic solutions for complex IT landscapes.
Orchestration: Basic knowledge of container orchestration (e.g., Kubernetes) will be an advantage.
A dynamic and ambitious environment that guarantees a steep learning curve and opportunities for growth. A flexible and modern work culture that offers you the advantages of modern digital possibilities and tools. Innovative new technologies and approaches that ensure your daily work is meaningful and efficient. A dedicated team committed to collaboration and mutual learning.
Our benefits at a glance:
Most often 67,400 to 87,300
Most often 67,400 to 87,300
