Accenture is a leading global professional services company that provides a vast range of services in strategy, consulting, technology, and operations. With a workforce of over 700,000 people serving clients in more than 120 countries, it is a powerhouse in digital transformation, cloud services, and cybersecurity. The company is recognized for its massive scale and its ability to integrate business and technology to drive value for the world's largest organizations.

In Spain, Accenture is one of the largest private employers in the professional services sector, maintaining a significant presence across several regions including Madrid, Barcelona, and Málaga. The company is highly attractive to international professionals due to its diverse project portfolio, multicultural teams, and structured career development paths. It frequently recruits for specialized roles in Industry X, Salesforce, and cloud engineering, often serving as a major entry point for foreign talent into the Spanish corporate landscape.

Originally the consulting arm of Arthur Andersen, the firm became independent in 1989 as Andersen Consulting. It officially rebranded to Accenture in 2001 and has since grown into a global leader through organic growth and hundreds of strategic acquisitions.

Data Engineer - AI/ML, Python, AWS

Accenture

This job was originally posted in Spanish and automatically translated to English. You'll most likely need Spanish to apply.

Job Description

Accenture, recognized as a Great Place To Work®, is a leading global professional services company that helps the world's leading businesses, public administrations, and other organizations develop their digital core, optimize their operations, accelerate revenue growth, and improve services for citizens, creating tangible value at speed and scale.

We are looking to incorporate Data Engineer profiles through an intensive 5-week program that combines practical training and the development of a final project, with subsequent placement in large-scale projects within Accenture, allowing for autonomous integration into technical teams from day one.

The position is based in Barcelona under a hybrid work model, working some days 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 valid work permit for Spain.

Functions

Development and maintenance of data pipelines to integrate information from different sources.
Preparation, transformation, and organization of structured and unstructured data for consumption by AI applications.
Development of ETL/ELT processes to automate data loading and transformation.
Design and develop data pipelines in AWS (S3, Glue, Aurora PostgreSQL, Neptune) to integrate structured and unstructured sources.
Implement graph queries (SPARQL, Cypher, or Gremlin) and combine them with SQL and vector search.
Build RAG solutions, semantic search, and metadata enrichment for LLM use cases.
Collaboration with AI, analytics, and development teams to create scalable and efficient solutions.
Metadata management and process documentation to ensure information traceability.
Participation in initiatives related to semantic search, generative AI, and intelligent assistants.

Responsibilities:

Design knowledge-oriented data architectures with an end-to-end approach for AI-driven systems.
Integrate multiple corporate repositories (S3, SharePoint, FileNet) ensuring semantic consistency.
Define hybrid query strategies (relational, graph, vector) based on the use case.
Ensure data quality, traceability (data lineage), and compliance with data governance standards.

Requirements:

University degree in Engineering, Computer Science, Mathematics, Physics, or equivalent.
Professional experience in Data Engineering, Software Engineering, or AI Engineering in production environments.
Advanced use of Python and SQL as primary work tools.
Experience with AWS services (S3, Glue, Aurora PostgreSQL, Neptune, Bedrock).
Experience in graph databases and query languages (SPARQL, Cypher, or Gremlin).
English B2/C1

Desirable:

Experience with frameworks such as LangChain, LlamaIndex, or similar.
Knowledge of Kubernetes, Terraform, or DevOps
Experience in Docker, Git, and CI/CD.
Experience in data lineage tools, data quality, and data governance.

Knowledge and experience in the use of generative artificial intelligence and AI tools applied to the workplace are required, in line with Accenture's commitment to the responsible and effective use of AI.

At Accenture, a company recognized as a Great Place To Work®, we believe in a hybrid work model that, thanks to technology and our facilities, allows us to maintain the essential human connection to work with our teams and clients. A connection that allows us to maintain our culture of inclusion and diversity and be, according to Refinitiv, the most diverse company in the world.

Additionally, we offer other benefits such as:

Medical, Life, and accident insurance
Medical service and wellness programs
Flexible compensation program and stock purchase plan
Flexibility programs (scheduling, days off, vacations...)
Individualized training itinerary
Sustainability programs and Accenture Foundation
Employee diversity network
Other benefits: Bankinter Office with special conditions and profit sharing

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against for their differences. All employment decisions will be made regardless of age, race, creed, color, religion, sex, national origin, ancestry, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship, or any other criteria protected by applicable law. Our rich diversity makes us more innovative, competitive, and creative, which helps us better serve our clients and communities.

View original advert (Spanish)

Accenture, reconocida como Great Place To Work®, una compañía líder mundial en servicios profesionales que ayuda a las principales empresas, administraciones públicas y otras organizaciones del mundo a desarrollar su core digital, optimizar sus operaciones, acelerar el crecimiento de sus ingresos y mejorar los servicios para los ciudadanos, creando valor tangible a velocidad y escala.

Buscamos incorporar perfiles de Data Engineer a través de un programa intensivo de 5 semanas que combina formación práctica y desarrollo de un proyecto final, con incorporación posterior a proyectos de gran envergadura dentro de Accenture, permitiendo la integración autónoma en equipos técnicos desde el primer día.

El puesto se desempeña en Barcelona en un modelo de trabajo híbrido realizando algunos días desde tu casa y otros en la oficina donde podrás crear interesantes sinergias con el resto de tu equipo.

Es imprescindible residir en España y tener permiso laboral en España.

Funciones

Desarrollo y mantenimiento de pipelines de datos para integrar información procedente de diferentes fuentes.
Preparación, transformación y organización de datos estructurados y no estructurados para su consumo por aplicaciones de IA.
Desarrollo de procesos ETL/ELT para automatizar la carga y transformación de datos.
Diseñar y desarrollar pipelines de datos en AWS (S3, Glue, Aurora PostgreSQL, Neptune) para integrar fuentes estructuradas y no estructuradas.
Implementar consultas sobre grafos (SPARQL, Cypher o Gremlin) y combinarlas con SQL y búsqueda vectorial.
Construir soluciones de RAG, búsqueda semántica y enriquecimiento de metadatos para casos de uso con LLM.
Colaboración con equipos de IA, analítica y desarrollo para crear soluciones escalables y eficientes.
Gestión de metadatos y documentación de los procesos para garantizar la trazabilidad de la información.
Participación en iniciativas relacionadas con búsqueda semántica, IA generativa y asistentes inteligentes.

Responsabilidades:

Diseñar arquitecturas de datos orientadas a conocimiento con enfoque end-to-end para sistemas AI-driven.
Integrar múltiples repositorios empresariales (S3, SharePoint, FileNet) asegurando coherencia semántica.
Definir estrategias de consulta híbridas (relacional, grafo, vectorial) en función del caso de uso.
Garantizar calidad de datos, trazabilidad (data lineage) y cumplimiento de estándares de gobierno del dato.

Requisitos:

Titulación universitaria en Ingeniería, Informática, Matemáticas, Física o equivalente.
Experiencia profesional en Data Engineering, Software Engineering o AI Engineering en entornos productivos.
Uso de Python y SQL avanzado como herramientas principales de trabajo..
Experiencia en servicios AWS (S3, Glue, Aurora PostgreSQL, Neptune, Bedrock)
Experiencia en bases de datos de grafos y lenguajes de consulta (SPARQL, Cypher o Gremlin)
Inglés B2/C1

Valorable:

Experiencia con frameworks como LangChain, LlamaIndex o similares.
Conocimientos de Kubernetes, Terraform o DevOps
Experiencia en Docker, Git y CI/CD.
Experiencia en herramientas de data lineage, calidad de datos y gobierno del dato.

Se requieren conocimientos y experiencia en el uso de inteligencia artificial generativa y herramientas de IA aplicadas al puesto de trabajo, en línea con la apuesta de Accenture por un uso responsable y efectivo de la IA.

En Accenture, compañía reconocida como Great Place To Work®, apostamos por un modelo híbrido de trabajo que, gracias a la tecnología y a nuestras instalaciones, nos permiten mantener la conexión humana esencial para trabajar con nuestros equipos y clientes. Una conexión que nos permite mantener nuestra cultura de inclusión y diversidad y ser, según Refinitiv, la empresa más diversa del mundo.

Además, te ofrecemos otros beneficios como:

Seguro médico, de Vida y accidentes
Servicio médico y programas de bienestar
Programa de retribución flexible y compra de acciones
Programas de flexibilidad (horaria, de días libres, vacaciones...)
Itinerario formativo individualizado
Programas de sostenibilidad y Fundación Accenture
Red de empleados por la diversidad
Otros beneficios: Oficina Bankinter con condiciones especiales y reparto de beneficios

About Accenture

Visit us atwww.accenture.com

Declaración de igualdad de oportunidades en el empleo

Creemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.