Hybrid Data Engineer: AI, Snowflake & AWS

RED Global

Barcelona

Hybrid

EUR 61,000 - 100,000

Full time

1 hour ago
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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

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

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