20 publicaciones de empleo destacadas de engineer, python (madrid based) en madrid, md (¡Están contratando!)

Data & AI Strategy Knowledge Graph Engineer Consultant/Manager
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- Oficina
Sustainability Consultant
AECOM —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Inglés
- Microsoft Office
- Seguro dental
- Vacaciones pagadas
Senior GenAI Engineer – LLMs & RAG
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- Máster
Senior Nuclear Core Design Engineer
Holtec —Madrid, Madrid provincia
- De 160.000 € a 190.000 € al año
- Doctorado
- Máster
- Habilidades de análisis
- Seguro dental
- Vacaciones pagadas
Solicitud rápida
Senior Product Engineer / AI Solution Architect
SCH Banco Santander, S.A. —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
- Abono gimnasio
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11d
Forward Deployed AI Engineer (f/m/d)
Axpo —Madrid, Madrid provincia
- Media jornada
- Azure
- Informática
- DevOps
Senior SW & Services Engineer
Humanus Consulting —Madrid, Madrid provincia
- Inglés
- SQL
- JavaScript
Salesforce Tech Lead (Remote from Spain)
UST —Madrid, Madrid provincia
- Teletrabajo
- CRM software
- Azure
- Informática
- Abono gimnasio
Solicitud rápida
AI Engineering Lead
FeverUp —Madrid, Madrid provincia
- Español
- Inglés
- Máster
Solicitud rápida
Generative AI
TMC —Madrid, Madrid provincia
- Azure
- Inteligencia artificial
- Python
Lead Engineer– Data Platform
Deutsche Bank —Salamanca-Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Oficina
- Java
2d
Engineer - AI Platform
Ebury —Madrid, Madrid provincia
- Español
- Inglés
- Oficina
Solicitud rápida
5d
Staff Customer Engineer - Iberia and FIME
Aircall.io, Inc. —Madrid, Madrid provincia
- Español
- Inglés
- JavaScript
Solicitud rápida
12d
Senior Data Engineer - Analytics Platform
Ebury —Madrid, Madrid provincia
- Español
- Inglés
- Oficina
Solicitud rápida
9d
System Engineer - IRIS2
HISPASAT S,A. —La Poveda, Madrid provincia
- Jornada completa
- Máster
- Ensamblaje
- Manufactura
Solicitud rápida
Senior Data Engineer - Platform
Ebury —Madrid, Madrid provincia
- Español
- Inglés
- Oficina
Solicitud rápida
5d
Product Marketing Manager
Ultralytics —Madrid, Madrid provincia
- De 80.000 € a 120.000 € al año
- Jornada completa
- Trabajo híbrido
- Oficina
- APIs
- Python
Senior AI Engineer
Simon-Kucher & Partners —Madrid, Madrid provincia
- Español
- Azure
- Informática
Identity & Access Management Security Engineer (m/f/d)
Liebherr IT Shared Service Centre Ibérica, S.L. —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- DevOps
- Inglés
Senior Sustainability Consultant
AECOM —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Inglés
- Máster
- Seguro dental
- Vacaciones pagadas

Quiero recibir la alerta de empleo más reciente de engineer, python (madrid based) en madrid, md

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Data & AI Strategy Knowledge Graph Engineer Consultant/Manager

Accenture -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa

Cualificaciones

Azure
Derecho
Estructura de datos
Inglés
Máster
APIs
Escalabilidad
Cloud
Inteligencia artificial
Python

Descripción completa del empleo

Are you ready to design the semantic backbone of next-generation AI systems? At Accenture, we are reinventing organizations through technology, data, and artificial intelligence—helping clients unlock new sources of value and measurable impact for their businesses and society.

We are looking for a Knowledge Graph Engineer – Agentic AI to join our global team. This role focuses on the design and implementation of enterprise Knowledge Graphs that power advanced AI systems, combining deep technical expertise in semantic modeling with the integration of Agentic AI architectures.

You will play a key role in building graph-based foundations that enable explainable, context-aware, and scalable AI solutions. From defining ontologies and entity resolution strategies to enabling advanced retrieval patterns for AI agents, you will contribute across the full technical lifecycle—design, development, integration, and deployment.

As part of our team, you will work on cutting-edge initiatives that go beyond connecting existing tools. You will help engineer robust semantic layers and graph-enabled AI platforms that support multi-agent orchestration, Retrieval-Augmented Generation (RAG), and LLM-based systems—ensuring they are grounded, reliable, and aligned with enterprise data strategies.

While the role is deeply technical, you will also collaborate with architects and strategists to ensure that semantic and AI solutions translate into measurable business outcomes.

Key Responsibilities

Design, implement, and maintain enterprise Knowledge Graphs using RDF/OWL and/or property graph models, including ontology design and semantic data modeling.
Define graph schemas and relationships aligned with enterprise data structures (IDs, keys, lineage), ensuring consistency across domains.
Implement entity resolution mechanisms and master data harmonization strategies.
Build and manage ingestion pipelines from structured data sources into the Knowledge Graph, including incremental updates and synchronization processes.
Develop, optimize, and maintain SPARQL and/or Cypher queries to enable performant and scalable graph operations.
Design and implement structured retrieval patterns to support LLM grounding, RAG pipelines, and multi-agent systems.
Integrate Knowledge Graphs with vector databases, LLM-based systems, and orchestration frameworks.
Ensure performance optimization, scalability, security, and maintainability of graph and AI-integrated architectures.

How does the ideal candidate look like:

+3 years in Data & AI projects (strategy and/or technical development), ideally with exposure to Supply Chain & Operations or related domains.
Hands-on technical experience in building AI solutions with: Programming (Python), Large Language Models (LLMs), Prompt engineering, Retrieval-Augmented Generation (RAG), Multi-agent orchestration and Knowledge graph design and integration
Understanding of AI solution lifecycle, including architecture, deployment, and governance for scalable agentic AI systems.
Experience integrating graph-based reasoning with AI/LLM systems.
Business case development and KPI definition.
Analytical and problem-solving mindset, capable of designing innovative solutions and ensuring reliability and security.
Excellent communication and presentation skills, simplifying complexity for diverse audiences.
Adaptability and collaboration in global, fast-paced, multidisciplinary environments.
Proficiency in English (required); additional languages are a plus.

The position is based in Barcelona or Madrid and follows a hybrid work model, with some days working from home and others in the office, where you can create interesting synergies with the rest of your team. It is essential to reside in Spain and have a work permit in Spain.

Technical Skills (Core)

Programming: Strong proficiency in Python; experience working with APIs and integration frameworks.
Knowledge Graphs:
- RDF/OWL and/or property graph modeling
- Ontology design and semantic data modeling
- SPARQL and/or Cypher
- Entity resolution and master data harmonization
- Schema design aligned with enterprise data structures (IDs, keys, lineage)
- Graph ingestion and incremental update mechanisms
AI Integration:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Multi-agent orchestration frameworks
- Vector databases and hybrid retrieval architectures
- Prompt engineering for structured grounding
Data & Architecture:
- Data modeling and integration
- Data governance, quality, and lineage principles
- Scalable and secure AI/graph architectures
Cloud Platforms: Azure AI, Copilot Studio, or similar AI/graph deployment environments.
Security & Compliance: Secure design and deployment of AI-enabled systems.

Soft Skills

Critical Thinking & Problem Solving: Structured approach to complex challenges.
Communication & Presentation: Simplifying technical complexity for diverse audiences.
Adaptability: Thriving in global, fast-paced, and evolving environments.
Data & AI Strategy: Ability to define and execute strategies aligned with business objectives.
Business Case Development: Quantifying impact, defining KPIs, and aligning with executive priorities.

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engineer, python (madrid based) empleos en madrid, md

Data & AI Strategy Knowledge Graph Engineer Consultant/Manager

Sustainability Consultant

Senior GenAI Engineer – LLMs & RAG

Senior Nuclear Core Design Engineer

Senior Product Engineer / AI Solution Architect

Forward Deployed AI Engineer (f/m/d)

Senior SW & Services Engineer

Salesforce Tech Lead (Remote from Spain)

AI Engineering Lead

Generative AI

Lead Engineer– Data Platform

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Staff Customer Engineer - Iberia and FIME

Senior Data Engineer - Analytics Platform

System Engineer - IRIS2

Senior Data Engineer - Platform

Product Marketing Manager

Senior AI Engineer

Identity & Access Management Security Engineer (m/f/d)

Senior Sustainability Consultant

Quiero recibir la alerta de empleo más reciente de engineer, python (madrid based) en madrid, md

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