Data Engineer - Agentic AI

RED Global; Barcelona; Hybrid; EUR 61,000 - 100,000; Full time

Job summary

RED Global in Barcelona is seeking a Data Engineer to design, build, and deploy AI-enabled workflows that transform operational capabilities. You will identify core business processes and design robust data pipelines to automate tasks across the organization.

The role emphasizes Python, Snowflake, AWS, and DBT/Airflow experience, plus a focus on data quality, governance, and production-grade engineering. Collaboration across units will drive high-impact automation projects and strong

Qualifications

• Fluent English; strong written and verbal communication.
• Experience architecting end-to-end data pipelines and AI-enabled automation.

Responsibilities

• Develop AI agent-driven workflows to automate and optimize operations.
• Design, build, and deploy data pipelines supporting process discovery and mapping.
• Orchestrate ETL/ELT pipelines with DBT and Airflow.
• Optimize Snowflake data models and performance tuning.
• Produce production-grade Python code for data processing and AI integration.
• Deploy and manage data/AI solutions on AWS cloud.
• Collaborate with stakeholders across units to identify automation opportunities.
• Ensure data governance and security across pipelines and workflows.
• Document architectures and coding standards to improve engineering practices.

Skills

AI Agent Automation

Data Architecture

Lang: English

LLM & AI Frameworks

LLM Orchestration

MLOps / LLMOps

Tools

Snowflake

Python

AWS

DBT

Apache Airflow

Job 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.