ITX is Hiring a Data Engineer – Data Platforms & AI Tooling Are you passionate about building the data foundations that power modern AI systems? We're looking for a Data Engineer to join Data Platforms & Internal Tooling Projects. In this role, you'll help build the enterprise data platform that powers analytics, internal products, and our growing Agentic AI ecosystem. This is not a traditional analytics-focused data engineering role. You'll work closely with AI, platform, and infrastructure teams to build the pipelines, data products, and integration layers that allow autonomous agents to securely access and use enterprise data in production. If you're excited about combining modern data engineering with Agentic AI, cloud platforms, and large-scale systems, we'd love to hear from you.
What You'll Do
- Build and maintain scalable batch and streaming data pipelines that ingest and transform data from applications, databases, APIs, event streams, and third-party systems.
- Develop trusted, reusable data products that support analytics, business applications, and AI solutions.
- Design and maintain data models that enable reporting, analytics, and AI consumption.
- Build AI-facing integration layers, including MCP servers and similar interfaces that allow AI agents to securely access data and platform capabilities.
- Collaborate with AI, platform, and infrastructure teams to support production-grade Agentic AI solutions.
- Implement data quality, testing, monitoring, observability, and lineage across data pipelines and AI integrations.
- Ensure data governance, privacy, security, and access-control standards are applied consistently.
- Prepare structured and unstructured data for analytics, machine learning, generative AI, and agentic workflows.
- Contribute to architecture decisions and help scale the organization's data platform for future growth.
What We're Looking For
Data Engineering Foundations
- 4+ years of experience in Data Engineering, Backend Engineering, o
📌 Data Engineer – Data Platforms (Argentina)
🏢 Itx
📍 Argentina