Role Overview
We are seeking an AI Agent Data Engineer to join the Technology, Data & Innovation division,
This role sits at the core of building next-generation AI processes and control agents deployed across multiple Agent Factories.
You will work closely with AI Acceleration Leads and cross-functional teams to drive projects from concept to production.
The position focuses on designing scalable, agent-ready data systems and enabling seamless integration between AI agents and enterprise environments.
Key Responsibilities
* Ensure organizational data is agent-ready by aligning data access, availability, and technical architecture.
* Design, build, and maintain robust data pipelines supporting real-time and batch processing for AI agents.
* Contribute to the technical implementation of agent systems using frameworks such as Google AI Development Kit (ADK) or comparable technologies.
* Develop and maintain client libraries for secure collaboration between data systems, agents, and internal platforms.
* Implement data-centric agent patterns and integrate agents with existing enterprise systems.
* Conduct continuous testing and validation of data integrations and pipelines throughout the development lifecycle.
* Incorporate feedback loops to ensure data quality, system reliability, and operational scalability.
Professional Experience
* 5–7 years of experience as a Software Engineer or Data Engineer.
* Minimum 2 years of hands-on experience in AI/ML or data-intensive application development.
* Demonstrated experience designing, building, and testing MCP-based or similar integration solutions.
* Proven track record delivering production-grade data pipelines and backend systems for complex applications.
Technical Skills
* Strong proficiency with Google AI Development Kit (ADK) or comparable agent frameworks.
* Advanced software and data engineering expertise, including:
* Data modeling
* API development
* Model Context Protocol (MCP) concepts
* Deep understanding of the agent development lifecycle and agent design patterns.
* Experience implementing testing strategies and iterative development practices.
Languages
* Professional proficiency in English (required).
* German language skills are a plus.