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# Data Engineer - Agentic AI

- **Company:** Red Global
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Temporary contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Airflow, Amazon Web Services, Cloud Computing, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Python (Programming Language), Performance Tuning, Data Processing, Large Language Models, Snowflake, Agentic-AI, Production Code, Machine Learning Operations, Virtual Agents, Semantic Kernel, Data Pipelines
- **Published:** November 13, 2026
- **Apply:** https://www.jobleads.com/es/job/data-engineer-agentic-ai--barcelona--e3d74ada9a330ffd3948edc3d2c1e4851

## About the Role

* Snowflake: Proven hands-on experience with data modeling, data transformation, and performance optimization.
 * Python: Advanced proficiency in writing clean, scalable, production-grade code.
 * AWS: Hands-on experience deploying, managing, and monitoring solutions within AWS cloud environments.
 * AI Agent Automation: Demonstrated experience designing or implementing AI agent-based automation for business processes.
 * Data Architecture: Strong understanding of end-to-end data pipeline architecture and best practices.
 * Language: Fluent in English (written and spoken).
 * DBT & Airflow: Hands-on expertise with DBT and/or Apache Airflow (Nice to Have).
 * LLM & AI Frameworks: Familiarity with modern LLM/AI agent frameworks.
 * LLM Orchestration: Hands-on experience with frameworks such as LangChain, LangGraph, or Semantic Kernel.
 * MLOps / LLMOps: Background in MLOps/LLMOps deployment, monitoring, and evaluation practices.

## Description

We are seeking a proactive Data Engineer to play a pivotal role in transforming our operational capabilities. In this role, you will identify core business processes and design, build, and deploy intelligent, automated workflows powered by state-of-the-art AI agents.

Start Date: November

Location: Barcelona, 2days on site, 3 days remote

Duration: 6 months contract + extensions

Language: English and Spanish

 * AI & Automation Integration: Develop and maintain AI agent-driven workflows to automate and optimize operational tasks across the organization.
 * Process Identification: Design, build, and deploy data pipelines that support the discovery and mapping of business processes.
 * ETL/ELT Pipeline Orchestration: Build, maintain, and orchestrate robust data pipelines using DBT and Airflow.
 * Data Warehouse Optimization: Work extensively with Snowflake for data modeling, transformation, and performance tuning.
 * Production Engineering: Develop scalable, production-grade code in Python for high-throughput data processing and AI/agent integration.
 * Cloud & Infrastructure: Deploy, manage, and monitor data and AI solutions on AWS cloud infrastructure.
 * Cross-Functional Collaboration: Partner with stakeholders across business units to pinpoint high-impact automation opportunities.
 * Data Governance & Quality: Ensure data quality, governance, and security best practices across all pipelines and automation workflows.
 * Documentation & Standards: Document technical solutions, architecture designs, and contribute to the continuous improvement of engineering standards.

Required Skills:

 * Snowflake: Proven hands-on experience with data modeling, data transformation, and performance optimization.
 * Python: Advanced proficiency in writing clean, scalable, production-grade code.
 * AWS: Hands-on experience deploying, managing, and monitoring solutions within AWS cloud environments.
 * AI Agent Automation: Demonstrated experience designing or implementing AI agent-based automation for business processes.
 * Data Architecture: Strong understanding of end-to-end data pipeline architecture and best practices.
 * Language: Fluent in English (written and spoken).
 * DBT & Airflow: Hands-on expertise with DBT and/or Apache Airflow (Nice to Have).
 * LLM & AI Frameworks: Familiarity with modern LLM/AI agent frameworks.
 * LLM Orchestration: Hands-on experience with frameworks such as LangChain, LangGraph, or Semantic Kernel.
 * MLOps / LLMOps: Background in MLOps/LLMOps deployment, monitoring, and evaluation practices.