Data Engineer

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
• 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).