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

Data & AI Strategy Knowledge Graph Engineer Consultant/Manager
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- Oficina
Azure Data Platform Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
- Parking gratuito
- Seguro de vida
Senior API Engineer
Ebury —Madrid, Madrid provincia
- De guardia
- Informática
- Inglés
- Oficina
Solicitud rápida
Senior Software Development Engineer (C++ | Computer Geometry)
Ormco —Madrid, Madrid provincia
- Azure
- Informática
- Inglés
- Seguro dental
- Vacaciones pagadas
Senior Data Engineer
EPAM Systems, Inc. —Madrid, Madrid provincia
- Español
- Azure
- Informática
- Vacaciones pagadas
- Programa de recomendación
Senior Cloud Platform Engineer (Azure)
EPAM Systems, Inc. —Madrid, Madrid provincia
- Azure
- DevOps
- Inglés
- Vacaciones pagadas
- Programa de recomendación
Senior Data Engineer - ODS
Santander Bank —Madrid, Madrid provincia
- Español
- DevOps
- Inglés
Senior Data Platform / Data Engineer
Straumann Group —Madrid, Madrid provincia
- Jornada completa
- AWS
- Machine learning
- Python
FPGA / Firmware Engineer
Sener —Tres Cantos, Madrid provincia
- Trabajo híbrido
- Inglés
- Máster
- C++
Solicitud rápida
AI Software Engineering Analyst
SCH Banco Santander, S.A. —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Informática
- Abono gimnasio
- Seguro de vida
13d
Lead Software Test Automation Engineer
EPAM Systems, Inc. —Madrid, Madrid provincia
- Oficina
- Java
- C++
- Vacaciones pagadas
- Programa de recomendación
DevOps IoT Engineer – M2M
ESML SD Iberia Holding S A U —Pozuelo de Alarcón, Madrid provincia
- Jornada completa
- Azure
- Oracle
- DevOps
Solicitud rápida
Big Data Engineering (W/M)
MCA GROUPE —Centro-Madrid, Madrid provincia
- Español
- Azure
- Inglés
Senior Software Engineer – Robotic Distributed Systems
ARQUIMEA —Torrejón de Ardoz, Madrid provincia
- Trabajo híbrido
- Informática
- Inglés
- Investigación
Solicitud rápida
13d
Team Lead IT Operations (m/f/d)
Infront Financial Technology GmbH —Madrid, Madrid provincia
- Jornada completa
- Oracle
- DevOps
- Inglés
1d
Platform Engineer - IRIS2
HISPASAT S,A. —La Poveda, Madrid provincia
- Jornada completa
- Inglés
- Máster
- Manufactura
Solicitud rápida
Data and AI Lead - Agentic Tax Processes and Platforms
EY —Madrid, Madrid provincia
- Azure
- Informática
- Sistemas ERP
Applied Scientist, EU INTech Consumer Selection Discovery, NintAI
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Investigación
- Java
Senior Sustainability Consultant
AECOM —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Inglés
- Máster
- Seguro dental
- Vacaciones pagadas
Senior Power Systems Software Engineer
Artelys —Madrid, Madrid provincia
- Jornada completa
- Español
- Doctorado
- DevOps
Solicitud rápida

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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.

#LI-EU

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engineer, python (madrid based) empleos en comunidad de madrid

Data & AI Strategy Knowledge Graph Engineer Consultant/Manager

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Applied Scientist, EU INTech Consumer Selection Discovery, NintAI

Senior Sustainability Consultant

Senior Power Systems Software Engineer

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

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