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Indra Group, Tech for the future. Impulsamos la transformación digital con impacto, gracias a la tecnología avanzada, el conocimiento sectorial y el talento global 💻 ¡Únete a nuestro equipo de Datos, Inteligencia Artifical y Robots! Ser parte de nuestro equipo de Datos, Inteligencia y Robots es más que un desafío: es una oportunidad única para transformar el poder de los datos en una fuerza que deje una huella significativa en la sociedad. Aprovechamos el potencial de 3.160 millones de usuarios hiperconectados, utilizando herramientas de Big Data para crear un futuro mejor y generar un impacto real. Además, en nuestro equipo tenemos el conocimiento y la experiencia para hacer de la IA una herramienta multiplicadora del razonamiento humano, generando impacto en los negocios, en la ciudadanía y en la preservación de nuestro ecosistema. 💡¿Qué harás? • Diseñar e implementar soluciones de integración y procesamiento de datos en entornos C, • loud., • Desarrollar y mantener pipelines de datos escalables y eficientes., • Contribuir a la evolución de plataformas de Business Intelligence y analítica avanzada. 🎯¿Qué buscamos en ti? • Más de 2 años de experiencia en desarrollo de pipelines de datos en AWS., • Experiencia con servicios como: AWS Glue, AWS Lambda y Amazon S3 (entre otros)., • Conocimiento de arquitecturas modernas de datos: Procesamiento batch, Streaming, etc... Lo que te ofrecemos: • Estabilidad y Futuro 🏢✨: Proyectos a largo plazo en una empresa líder en tecnología con más de 50.000 profesionales, con seguridad financiera., • Proyectos Innovadores y de Alto Alcance 🚀: Trabajarás con tecnologías de vanguardia, con un impacto tanto a nivel nacional como internacional., • Ambiente Cercano y Transparente 🤝: Disfrutarás de una comunicación directa y fluida con responsables y compañeros/as, en un entorno colaborativo y abierto., • Autonomía y Flexibilidad ⏳: Tendrás libertad para organizar tu trabajo, con una conciliación real y adaptada a tu ritmo., • Plan de carrera adaptado a ti 📈: Diseñado para impulsar tu crecimiento y desarrollo profesional., • Formación continua 📚: en Open University y Udemy for Business (¡más de 6.000 cursos para especializarte!)., • Descuentos exclusivos para tu bienestar 🎁: Disfruta de ventajas en gimnasios, restaurantes, tiendas, ocio y mucho más al ser empleado de Indra., • Retribución competitiva 💰 y planes de compensación flexibles 💸📊a tus necesidades. 🕓¿Cómo es nuestro proceso de selección? • Revisión de tu perfil 🔍: Evaluamos tu experiencia y habilidades para determinar si encajas con lo que buscamos., • Primera toma de contacto (5-10 min) 📞: Si recibes una llamada de un número desconocido, ¡es nuestro equipo! Será una conversación rápida para conocerte y resolver cualquier duda., • Entrevista con el equipo de atracción de talento🤝: Queremos que nos conozcas mejor como empresa: valores, flexibilidad, modelo de carrera... para que, tanto tú como nuestro equipo de talento, podamos analizar si hay match., • Entrevista técnica 🤝: Te reunirás con el equipo, quienes te explicarán el proyecto y las funciones. También exploraremos tus conocimientos técnicos. Además, te realizaremos breves pruebas de competencias psicológicas e inglés (si es necesario)., • Oferta y bienvenida 🎉: Si todo va bien, ¡te incorporas a nuestro equipo y comenzamos esta nueva etapa! Nuestro compromiso es promover ambientes de trabajo en los que se trate con respeto y dignidad a las personas, procurando el desarrollo profesional de la plantilla y garantizando la igualdad de oportunidades en su selección, formación y promoción ofreciendo un entorno de trabajo libre de cualquier discriminación por motivo de género, edad, discapacidad, orientación sexual, identidad o expresión de género, religión, etnia, estado civil o cualquier otra circunstancia personal o social. ¡INDRA es empresa Top Employer 2026! Incorpórate a una empresa certificada como una de las mejores empresas empleadoras de España, gracias a nuestra gestión integral de RRHH y a las condiciones para nuestros profesionales.

About Xebia For more than 25 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 6000+ professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating. Fuelling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high quality way of working that inspires all we do. At Xebia, we put ‘People First’—committed to attracting diverse talent and fostering an inclusive, respectful workplace where everyone is valued for their contributions. We welcome all individuals and evaluate solely on the quality of their work and teamwork. About the Role Scientific Knowledge Engineer, Ontology & Data Modeling This role is responsible for maximizing the value of our data assets over a lifetime to bring purpose to data by acting as translators of highly technical information from domain experts into an appropriate data model – complete with significant ontology and vocabulary - that can be utilized to effectively structure and index the data. Specifically working with Product managers and R&D subject matter expertise to define the language (data models, ontology, standards, etc.) of science into data products by acting as the voice of “Knowledge base” and interoperability/value of asset. Key responsibilities include: • Definition of schemas/ontology and data models of scientific information required for the creation of value adding data products. This includes accountability for the quality control and mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling., • Accountable for the quality control (through validation and verification) of mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling – e.g., models, schemas, controlled vocab., • Working with Product managers/engineers confidently convert business need into defined deliverable business requirements to enable the integration of large-scale biology data to predict, model, and stabilize therapeutically relevant protein complex and antigen conformations for drug and vaccine discovery., • Collaborate with external groups to align data standards with industry/ academic ontologies ensuring that data standards are defined with usage/analytics in mind., • Provides bespoke subject matter expertise for R&D data to translate deep science into data for actionable insights, • Contribute to and maintain documentation of data standards, ontology decisions, and mapping rationale to support organizational knowledge transfer and auditability Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: • Masters degree in Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science (with a life science application focus), • 6+ years of relevant work experience, • Specific experience contributing to Knowledge Graph development efforts, including entity modeling, relationship design, and schema governance, • Hands-on experience with open-source ontology tools and languages: Protégé, SPARQL, OWL, SKOS, SHACL, RML, RDF/Turtle, • Working knowledge of major life sciences ontologies: Gene Ontology (GO), OBO Foundry ontologies (CL, UBERON, HPO, MONDO, CHEBI, EFO, CLO), MeSH, SNOMED CT, UMLS, • Familiarity with linked data principles and semantic web technologies, • Experience with industry-standard tools for building data serialization protocols (e.g., JSON Schema, LinkML), • Proficiency in at least one programming language — preferably Python — for scripting vocabulary mappings, building data models, automating QC, and prototyping pipelines Preferred Qualifications: If you have the following characteristics, it would be a plus: • Experience with data governance and data quality tooling (e.g., Ataccama, Informatica, Talend, OpenRefine, Great Expectations, dbt), • Experience with at least one programming language – e.g. Python – for scripting vocabulary mappings, building data models, etc, • Experience supporting LLM integration or AI-readiness workflows — including metadata enrichment, entity linking, embedding pipelines, or retrieval-augmented generation (RAG) architectures, • Understanding of vector databases and their role in semantic search and knowledge retrieval (e.g., Weaviate, Chroma), • Familiarity with cloud data platforms and infrastructure relevant to large-scale biological data (e.g., AWS, GCP, Azure), • Familiarity with graph database technologies (e.g., Neo4j, Amazon Neptune, Stardog, GraphDB, TigerGraph) Compensation Salary Range: €58,000 – €68,000 gross per year, depending on experience, skills, and overall fit for the role.

About Xebia For more than 25 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 6000+ professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating. Fuelling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high quality way of working that inspires all we do. At Xebia, we put ‘People First’—committed to attracting diverse talent and fostering an inclusive, respectful workplace where everyone is valued for their contributions. We welcome all individuals and evaluate solely on the quality of their work and teamwork. About the Role Scientific Knowledge Engineer, Ontology & Data Modeling This role is responsible for maximizing the value of our data assets over a lifetime to bring purpose to data by acting as translators of highly technical information from domain experts into an appropriate data model – complete with significant ontology and vocabulary - that can be utilized to effectively structure and index the data. Specifically working with Product managers and R&D subject matter expertise to define the language (data models, ontology, standards, etc.) of science into data products by acting as the voice of “Knowledge base” and interoperability/value of asset. Key responsibilities include: • Definition of schemas/ontology and data models of scientific information required for the creation of value adding data products. This includes accountability for the quality control and mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling., • Accountable for the quality control (through validation and verification) of mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling – e.g., models, schemas, controlled vocab., • Working with Product managers/engineers confidently convert business need into defined deliverable business requirements to enable the integration of large-scale biology data to predict, model, and stabilize therapeutically relevant protein complex and antigen conformations for drug and vaccine discovery., • Collaborate with external groups to align data standards with industry/ academic ontologies ensuring that data standards are defined with usage/analytics in mind., • Provides bespoke subject matter expertise for R&D data to translate deep science into data for actionable insights, • Contribute to and maintain documentation of data standards, ontology decisions, and mapping rationale to support organizational knowledge transfer and auditability Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: • Masters degree in Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science (with a life science application focus), • 6+ years of relevant work experience, • Specific experience contributing to Knowledge Graph development efforts, including entity modeling, relationship design, and schema governance, • Hands-on experience with open-source ontology tools and languages: Protégé, SPARQL, OWL, SKOS, SHACL, RML, RDF/Turtle, • Working knowledge of major life sciences ontologies: Gene Ontology (GO), OBO Foundry ontologies (CL, UBERON, HPO, MONDO, CHEBI, EFO, CLO), MeSH, SNOMED CT, UMLS, • Familiarity with linked data principles and semantic web technologies, • Experience with industry-standard tools for building data serialization protocols (e.g., JSON Schema, LinkML), • Proficiency in at least one programming language — preferably Python — for scripting vocabulary mappings, building data models, automating QC, and prototyping pipelines Preferred Qualifications: If you have the following characteristics, it would be a plus: • Experience with data governance and data quality tooling (e.g., Ataccama, Informatica, Talend, OpenRefine, Great Expectations, dbt), • Experience with at least one programming language – e.g. Python – for scripting vocabulary mappings, building data models, etc, • Experience supporting LLM integration or AI-readiness workflows — including metadata enrichment, entity linking, embedding pipelines, or retrieval-augmented generation (RAG) architectures, • Understanding of vector databases and their role in semantic search and knowledge retrieval (e.g., Weaviate, Chroma), • Familiarity with cloud data platforms and infrastructure relevant to large-scale biological data (e.g., AWS, GCP, Azure), • Familiarity with graph database technologies (e.g., Neo4j, Amazon Neptune, Stardog, GraphDB, TigerGraph) Compensation Salary Range: €58,000 – €68,000 gross per year, depending on experience, skills, and overall fit for the role.

About Xebia For more than 25 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 6000+ professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating. Fuelling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high quality way of working that inspires all we do. At Xebia, we put ‘People First’—committed to attracting diverse talent and fostering an inclusive, respectful workplace where everyone is valued for their contributions. We welcome all individuals and evaluate solely on the quality of their work and teamwork. About the Role Scientific Knowledge Engineer, Ontology & Data Modeling This role is responsible for maximizing the value of our data assets over a lifetime to bring purpose to data by acting as translators of highly technical information from domain experts into an appropriate data model – complete with significant ontology and vocabulary - that can be utilized to effectively structure and index the data. Specifically working with Product managers and R&D subject matter expertise to define the language (data models, ontology, standards, etc.) of science into data products by acting as the voice of “Knowledge base” and interoperability/value of asset. Key responsibilities include: • Definition of schemas/ontology and data models of scientific information required for the creation of value adding data products. This includes accountability for the quality control and mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling., • Accountable for the quality control (through validation and verification) of mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling – e.g., models, schemas, controlled vocab., • Working with Product managers/engineers confidently convert business need into defined deliverable business requirements to enable the integration of large-scale biology data to predict, model, and stabilize therapeutically relevant protein complex and antigen conformations for drug and vaccine discovery., • Collaborate with external groups to align data standards with industry/ academic ontologies ensuring that data standards are defined with usage/analytics in mind., • Provides bespoke subject matter expertise for R&D data to translate deep science into data for actionable insights, • Contribute to and maintain documentation of data standards, ontology decisions, and mapping rationale to support organizational knowledge transfer and auditability Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: • Masters degree in Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science (with a life science application focus), • 6+ years of relevant work experience, • Specific experience contributing to Knowledge Graph development efforts, including entity modeling, relationship design, and schema governance, • Hands-on experience with open-source ontology tools and languages: Protégé, SPARQL, OWL, SKOS, SHACL, RML, RDF/Turtle, • Working knowledge of major life sciences ontologies: Gene Ontology (GO), OBO Foundry ontologies (CL, UBERON, HPO, MONDO, CHEBI, EFO, CLO), MeSH, SNOMED CT, UMLS, • Familiarity with linked data principles and semantic web technologies, • Experience with industry-standard tools for building data serialization protocols (e.g., JSON Schema, LinkML), • Proficiency in at least one programming language — preferably Python — for scripting vocabulary mappings, building data models, automating QC, and prototyping pipelines Preferred Qualifications: If you have the following characteristics, it would be a plus: • Experience with data governance and data quality tooling (e.g., Ataccama, Informatica, Talend, OpenRefine, Great Expectations, dbt), • Experience with at least one programming language – e.g. Python – for scripting vocabulary mappings, building data models, etc, • Experience supporting LLM integration or AI-readiness workflows — including metadata enrichment, entity linking, embedding pipelines, or retrieval-augmented generation (RAG) architectures, • Understanding of vector databases and their role in semantic search and knowledge retrieval (e.g., Weaviate, Chroma), • Familiarity with cloud data platforms and infrastructure relevant to large-scale biological data (e.g., AWS, GCP, Azure), • Familiarity with graph database technologies (e.g., Neo4j, Amazon Neptune, Stardog, GraphDB, TigerGraph) Compensation Salary Range: €58,000 – €68,000 gross per year, depending on experience, skills, and overall fit for the role.

pReady to join a fun tech brand with consistent growth and innovation? VelvetCaviar.com is an accessories brand based out of New York; looking for a creative who excels at graphic design with a passion for digital marketing and branding. You'll collaborate with members of the marketing and design team for guidance but would take ownership of creating a lot of the brand’s graphic designs across emails, social media, website, and other digital assets. This is a great opportunity to join a small but rapidly growing fashion brand with an important role! /ppbr/ppbAbout Us: /b /ppVelvetCaviar.com is a leading fashion accessories brand with over 1+ million social media followers; established in New York in 2014. We’re mostly known for our fashionable phone cases which can be found in national retailers and on many celebrities! All products are designed in New York and assembled in the United States. Visit our Instagram @velvetcaviar to understand our brand and products best. /ppbr/ppbWhat you’ll do: /b /pp- Design email marketing campaign assets /pp- Design social media content (static motion) /pp- Design website and Amazon banners nav tiles /pp- Design website pages for branding performance /pp- Design static advertisements for social media channels /pp- Pantone color matching and creating of pattern line-ups /pp- Edit and retouch studio lifestyle photos (occasionally) /pp- Leverage AI to expedite asset innovation development /ppbr/ppbRequirements: /b /pp- Bachelor’s degree in Graphic Design or similar /pp- 2+ years experience in design for advertising or branding /pp- Work with the New York team until 18:00 Monday - Friday /pp- Advanced knowledge of After Effects, Photoshop, and Illustrator /pp- Strong sense of branding and typography /pp- Excellent photography and retouching skills /pp- Strong communicator, collaborator, and detail-oriented /pp- Growth mindset with a passion for marketing, branding, and design /pp- Great time management skills and ability to meet deadlines /ppbr/ppbSalary Range: /b €30,000 - €40,000 per year /ppbr/ppbBenefits: /b /pp- 100% remote position /pp- Year-end performance bonus /pp- Paid holidays paid time off /pp- Strong growth opportunity /ppbr/ppVelvet Caviar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. /p

Experto/a Amazon Aurora PostgreSQL.

Role Description This is a full-time, 100% remote Amazon Catalog Specialist role. You will manage and optimize our product catalog: creating, updating, and enhancing detail pages to ensure accuracy, consistency, and compliance with Amazon guidelines. Strong catalog management skills: creating, organ

Què t'oferim? Lloc de treball segur, modern i ben organitzat 10% de descompte per al personal d'Amazon Assegurança mèdica, de vida i cobertura per incapacitat de llarga durada Pla de pensions Programa Career Choice (disponible després d'un any de feina) Employee Assistance Program (E

Buscamos un/a Amazon Seller / Marketplace Specialist para liderar la expansión, gestión y optimización del negocio en Amazon, asegurando el crecimiento de nuestras marcas sostenible, escalable y alineado con la estrategia global de la compañía. Requisitos imprescindibles: Al menos 3 años de ex

As a Data Center Construction Manager you will be part of a creative, efficient team tasked with building and supporting the operations of Amazon data centers. Amazon is an equal opportunities employer. Our inclusive culture empowers Amazonians to deliver the best results for our customers.

We are expanding our Growth Team and looking for a sharp, data-driven Amazon Advertising Specialist to manage, optimize, and scale our portfolio across international Amazon marketplaces (EU and UK). What You'll Do Amazon PPC Management: Plan strategically, execute, monitor, and optimize Sponsore

Revisar las campañas publicitarias y promocionales en Amazon (Amazon Advertising). Identificar, desarrollar y ejecutar estrategias específicas dentro del entorno de Amazon. Requerimien tos Administración de empresas, ingeniería o marketing valorable, pero realmente buscamos a alguien con experie

About the teamSitting within the Global Security Operations organisation, Security and Loss Prevention supports the accomplishment of Amazon´s business targets and the strengthening of our brand by effectively protecting against relevant threats and by managing security and loss prevention risks th

Especialista en Amazon Ads para consultora de ecommerce. Responsable de la gestión, optimización y reporte de campañas publicitarias en Amazon, abarcando todo el embudo de conversión para lograr objetivos de cliente.

Què t'oferim? Lloc de treball segur, modern i ben organitzat 10% de descompte per al personal d'Amazon Assegurança mèdica, de vida i cobertura per incapacitat de llarga durada Pla de pensions Programa Career Choice (disponible després d'un any de feina) Employee Assistance Program (EAP) Retribuc

Què t'oferim? Lloc de treball segur, modern i ben organitzat 10% de descompte per al personal d'Amazon Assegurança mèdica, de vida i cobertura per incapacitat de llarga durada Pla de pensions Programa Career Choice (disponible després d'un any de feina) Employee Assistance Program (E

Por qué te encantará Amazon Lugar de trabajo seguro, moderno y bien organizado 10 % de descuento para el personal de Amazon Seguro médico, de vida y cobertura por incapacidad de larga duración Plan de pensiones Programa Career Choice (disponible tras 1 año de empleo) Employee Assistance Program

Comunicación directa con cliente - construcción de relaciones sólidas a través de la confianza y la transparencia Gestión de cuentas Vendor y Seller en programas de Amazon Core y Amazon Fresh Requisitos: Experiencia previa gestionando cuentas de Amazon Experiencia previa gestionando campañas d

En el puesto de Especialista en Conversión de Ventas en Amazon en Grupo Svan te encargarás de optimizar el rendimiento de las fichas de producto y campañas para maximizar la tasa de conversión. Dentro del departamento de marketing y producto alinearas contenido, mensajes y estrategia publicitari

Amazon is seeking an Area/Shift Manager to lead teams and ensure operational efficiency in Spain.

A leading cloud services provider is seeking a Systems Engineer to spearhead the European Sovereign Cloud initiative.Es este el puesto que está buscando? Si es así, siga leyendo para obtener más detalles y no olvide enviar su solicitud hoy mismo.The role involves collaborating with global teams t

Por qué te encantará Amazon Lugar de trabajo seguro, moderno y bien organizado 10 % de descuento para el personal de Amazon Seguro médico, de vida y cobertura por incapacidad de larga duración Plan de pensiones Programa Career Choice (disponible tras 1 año de empleo) Employee Assistance Program

Por qué te encantará Amazon Lugar de trabajo seguro, moderno y bien organizado 10 % de descuento para el personal de Amazon Seguro médico, de vida y cobertura por incapacidad de larga duración Plan de pensiones Programa Career Choice (disponible tras 1 año de empleo) Employee Assistance Program

Por qué te encantará Amazon Lugar de trabajo seguro, moderno y bien organizado 10 % de descuento para el personal de Amazon Seguro médico, de vida y cobertura por incapacidad de larga duración Plan de pensiones Programa Career Choice (disponible tras 1 año de empleo) Employee Assistance Program

Por qué te encantará Amazon Lugar de trabajo seguro, moderno y bien organizado 10 % de descuento para el personal de Amazon Seguro médico, de vida y cobertura por incapacidad de larga duración Plan de pensiones Programa Career Choice (disponible tras 1 año de empleo) Employee Assistance Program

Join Amazon as an Area/Shift Manager in Dos Hermanas, Spain, where you'll lead a diverse team and ensure operational excellence. Amazon values diversity and offers a supportive work environment.

Por qué te encantará Amazon Lugar de trabajo seguro, moderno y bien organizado 10 % de descuento para el personal de Amazon Seguro médico, de vida y cobertura por incapacidad de larga duración Plan de pensiones Programa Career Choice (disponible tras 1 año de empleo) Employee Assistance Program

Amazon couldn’t deliver at pace without the Amazon Transportation Service (ATS) team. When you join Amazon as an Area/Shift Manager, you’ll gain experience leading a large and diverse team to make sure your area of the business keeps pace with demand. Using air, sea and road transport, as well a

Amazon is seeking a Loss Prevention Expert in Spain, Andalucía to enhance security and prevent loss across operational sites. The position offers an opportunity to influence security strategy and maintain the integrity of Amazon's operations.

Por qué te encantará Amazon Lugar de trabajo seguro, moderno y bien organizado 10 % de descuento para el personal de Amazon Seguro médico, de vida y cobertura por incapacidad de larga duración Plan de pensiones Programa Career Choice (disponible tras 1 año de empleo) Employee Assistance Program

Por qué te encantará Amazon Lugar de trabajo seguro, moderno y bien organizado 10 % de descuento para el personal de Amazon Seguro médico, de vida y cobertura por incapacidad de larga duración Plan de pensiones Programa Career Choice (disponible tras 1 año de empleo) Employee Assistance Program

Posted: June 3, 2026 (Updated 16 days ago)Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. When you join Amazon as an Area/Shift Manager, you’ll gain experience leading a large and diverse tea