Role Overview

Client is seeking a Senior Data Engineer with strong Python and SQL expertise and experience building scalable data platforms, AI/GenAI solutions, and production-grade data workflows.

The idóneo candidate will combine hands-on data engineering capabilities with experience in Generative AI, Agentic AI, machine learning, data governance, and cloud-based data infrastructure. The candidate should be capable of leading technical workstreams, mentoring junior engineers, and delivering reliable data and AI solutions.

Key Responsibilities
- Design, develop, and maintain scalable data pipelines and data processing workflows.
- Build and optimize data solutions using Python, SQL, and relevant big data technologies.
- Develop and integrate Generative AI, Agentic AI, RAG, embeddings, and vector database solutions into production workflows.
- Implement data ingestion, transformation, orchestration, and processing using suitable frameworks.
- Build reliable AI-enabled data workflows with appropriate evaluation, validation, and guardrails.
- Implement CI/CD, automated testing,



monitoring, and MLOps/LLMOps practices.
- Ensure data security, governance, and compliance, including appropriate handling of sensitive data and role-based access controls.
- Work with cloud platforms and infrastructure-as-code tools to deliver scalable data solutions.
- Lead technical workstreams, review code, mentor junior engineers, and promote engineering best practices.
- Collaborate with data scientists, software engineers, architects, and business stakeholders.

Required Skills and Experience
- 7–8 years of professional experience in data engineering or a closely related technical role.
- Expert-level proficiency in Python and SQL.
- Strong experience building and maintaining data pipelines and data processing workflows.
- Hands-on experience with Generative AI, Agentic AI, or ML-enabled data solutions.
- Knowledge of RAG, embeddings, vector databases, prompt engineering, context const

📌 Senior Data Engineer (Madrid)
🏢 E Solutions
📍 Madrid