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• Rol de Senior Data Engineer, • 90% Remoto-> Valencia Sobre el perfil: Buscamos un Senior Data Engineer con especialización en Starburst (Trino) y Dell Data Lakehouse para unirse a nuestro equipo de IA y Datos. Serás responsable de desplegar, mantener y optimizar las instalaciones de Starburst y Dell Data Lakehouse, permitiendo que nuestros clientes accedan sin problemas a sus datos a través de múltiples plataformas. Funciones: • Implementar, administrar y optimizar entornos de Starburst (Trino) y Data Lakehouse (Dell, Databricks, Delta Lake o similares)., • Configurar servidores, catálogos y aplicaciones, garantizando rendimiento y estabilidad., • Integrar múltiples fuentes de datos en una plataforma unificada para análisis., • Diseñar soluciones en contenedores (Kubernetes/OpenShift) escalables y eficientes., • Aplicar controles de seguridad y asegurar el cumplimiento normativo., • Automatizar tareas de mantenimiento y monitoreo mediante herramientas como Ansible., • Resolver incidencias técnicas y realizar análisis de causa raíz., • Planificar pruebas de recuperación ante desastres y elaborar documentación técnica., • Colaborar con equipos de soporte y proveedores para garantizar la continuidad operativa. Perfil buscado (H/M/D): • Más de 5 años de experiencia bajo el rol., • Experiencia en Trino/Starburst Enterprise/Galaxy (administración y CLI)., • Conocimientos en Big Data (Hadoop, Hive, Spark) y nube (AWS, Azure, GCP)., • Dominio de Unix/Linux y orquestación de contenedores (Kubernetes/OpenShift)., • Comprensión de arquitecturas distribuidas, escalabilidad y alta disponibilidad., • Conocimiento de autenticación y seguridad (LDAP, Active Directory, OAuth2, Kerberos)., • Familiaridad con JDBC/ODBC., • Nivel alto de ingles. Qué ofrecemos: • Un entorno dinámico con proyectos innovadores., • Modalidad de trabajo flexible y 90% remoto (2 días oficina al mes), • Oportunidades de formación y certificaciones., • Salario competitivo y beneficios adicionales., • Equipamiento técnico necesario para el puesto. Siguientes pasos: Si estás interesado en esta oferta, haz click en "aplicar ahora" para enviar una copia actualizada de tu CV.

Inetum es líder europeo en servicios digitales. El equipo de 28.000 consultores y expertos de Inetum se esfuerza cada día por lograr un impacto digital en las empresas, en las entidades del sector público y en la sociedad. Las soluciones de Inetum quieren contribuir al rendimiento y la innovación de sus clientes, así como al interés general. Presente en 19 países con una red de centros densa, Inetum colabora con los principales fabricantes de software para afrontar los retos de la transformación digital con proximidad y flexibilidad. Impulsada por su ambición de crecimiento y expansión, Inetum generó una cifra de negocio de 2.500 millones de euros en 2023. En Inetum estamos construyendo la nueva estructura de liderazgo en Data & AI. Buscamos un/a Responsable de Práctica que lidere nuestra especialidad en arquitectura de plataformas de datos con Databricks, impulsando proyectos de alto impacto y posicionando a Inetum como referente en soluciones avanzadas de datos en España. Este rol no es solo técnico: es estratégico, relacional y transformador. Tendrás la oportunidad de: • Diseñar y evolucionar nuestra práctica Databricks desde cero., • Influir en la visión de Data & AI para grandes clientes multisectoriales., • Crear comunidad y evangelizar sobre las últimas tecnologías de Datos., • Liderar equipos expertos y colaborar con fabricantes para anticipar tendencias., • Definir la estrategia y roadmap de la práctica Databricks en Inetum., • Liderar la arquitectura de soluciones basadas en Databricks Lakehouse y servicios avanzados (MLflow, Mosaic AI, AutoML, entre otros)., • Actuar como referente técnico y estratégico en proyectos críticos, asegurando calidad, seguridad y escalabilidad., • Colaborar en preventa: RFP/RFI, demos, POCs y propuestas técnicas., • Mentorizar y desarrollar talento en la práctica, creando estándares y buenas prácticas., • Impulsar comunidades internas y externas. Requisitos • Experiencia sólida (10+ años) en arquitectura de datos y plataformas cloud., • Dominio de Databricks y su ecosistema (Spark, Delta Lake, MLflow, entre otras)., • Conocimiento profundo de alguno de los principales hiperescalares como Azure/AWS/GCP y patrones de arquitectura cloud., • Capacidad para traducir necesidades de negocio en soluciones técnicas., • Habilidades de liderazgo, influencia y gestión de stakeholders., • Certificaciones Databricks., • Certificaciones en hiperescalares (AWS o Azure o GCP), • Experiencia en evangelización y creación de comunidades técnicas. ¿Qué ofrecemos? • Retribución salarial acorde con la experiencia aportada, • Plan de carrera: ofrecemos una atractiva carrera profesional en función de la experiencia y potencial personal dentro de una compañía en continua evolución y con un sólido crecimiento, • Plan de formación en competencias tecnológicas de acuerdo con las exigencias de los proyectos y clientes., • Retribución flexible: te ofrecemos una retribución a la carta pudiendo elegir diferentes productos y modelar tú mismo cómo distribuirlos: seguro de salud, tickets de comida, guardería, tarjeta transporte, etc., • Autonomía real para definir y liderar la práctica., • Proyectos estratégicos y multisectoriales con impacto tangible., • Ser protagonista de una organización en plena transformación., • Cultura colaborativa y orientada a innovación., • Modelo híbrido, y flexibilidad horaria. Te ofrecemos la oportunidad de trabajar en proyectos desafiantes y de alto impacto, con un equipo de profesionales apasionados por la tecnología y el desarrollo continuo. 💬 ¡Si estás list@ para dar el siguiente paso en tu carrera y unirte a una empresa que valora tu talento, queremos conocerte! 📧 Envía tu CV y postúlate hoy mismo.

NTT DATA is all of us. A team of more than 190,000 professionals, as diverse as the more than 50 countries in which we operate and the different sectors in which we operate: telecommunications, financial institutions, industry, utilities, energy, public administration, and healthcare. Our mission? To offer technological, business, strategy, application development, and maintenance solutions, becoming a benchmark in consulting. All thanks to the collaboration between teams, the human quality of our people, and the fact that we don't settle for the established; we always seek innovation that brings us closer to the future. Our essence has led us to the forefront of technology, to break paradigms, and to provide solutions that truly meet the needs of each client. Our talent has allowed us to proudly say that we are one of the TOP technology companies in the world. What are we looking for? We are looking for people specialized in results-driven Data Engineer with strong expertise in building scalable data pipelines and processing large datasets using Databricks and PySpark. Your day-to-day will focus on: • Distributed data processing with Apache Spark on Databricks, • NoSQL schema design and performance tuning in MongoDB, • Data ingestion, transformation, and orchestration using Delta Lake, Apache Airflow, and Azure Data Factory, • CI/CD for data pipelines and version control with Git, • Agile methodologies and DevOps practices in data engineering projects, • Strong problem-solving mindset and ability to work in multicultural teams, • business units—to ensure alignment with organizational goals., • Mentor junior engineers, lead architecture reviews, and contribute to internal communities of practice on AI and cloud technologies. Why would we like to meet you? We'd love to meet you if: • Distributed data processing with Apache Spark on Databricks, • NoSQL schema design and performance tuning in MongoDB, • Data ingestion, transformation, and orchestration using Delta Lake, Apache Airflow, and Azure Data Factory, • CI/CD for data pipelines and version control with Git, • Agile methodologies and DevOps practices in data engineering projects, • Strong problem-solving mindset and ability to work in multicultural teams What do we offer? At NTT DATA, we offer: • Career development: an individualized and mentored career plan for both your personal and professional life., • Training tailored to your needs and preferences. Through our Corporate University, you can complete certifications, language courses, management skills, and technical courses, and access Udemy., • Great team: work in a positive team environment where you can learn from others and they from you., • Flexibility and work-life balance: a hybrid work environment and flexible hours., • Cutting-edge projects: the opportunity to work on high-priority projects for leading companies in Spain and Europe., • The latest technology: the opportunity to apply the latest innovations in generative AI in leading international companies., • Competitive salary commensurate with experience., • Benefits: meal tickets, 100% paid medical insurance for you and 80% paid to your family if you wish them to benefit from it, and life insurance. Interested? If you're ready to shape the future with us, apply today! Because #Greattech, needs #GreatPeople, like you.

Humanizando la Tecnología. Somos una gran empresa con alma de start-up. Nos organizamos por unidades de conocimiento expertas que colaboran entre sí. Por ello buscamos personas inquietas, que les motiven los retos y con ganas de crecer personal y profesionalmente, que se unan a nuestro equipo para tener un impacto positivo en el mundo a través de la tecnología ¿QUÉ HARÁS EN TU DÍA A DÍA? Como Ingeniero de Datos en Databricks, serás responsable de diseñar, desarrollar y optimizar pipelines de datos y modelos analíticos sobre la plataforma Databricks, garantizando un flujo de datos eficiente, seguro y escalable. Trabajarás estrechamente con equipos técnicos y de negocio para construir arquitecturas modernas que impulsen la analítica avanzada y la toma de decisiones basada en datos. • INGENIERÍA Y MODELADO DE DATOS, • Diseñar, implementar y optimizar pipelines de datos en Databricks (PySpark, SQL, Delta Live Tables, etc.)., • Modelar datos en capas bronze, silver y gold, asegurando su calidad, trazabilidad y rendimiento., • Integrar Databricks con diferentes fuentes (APIs, bases de datos, cloud storage, etc.) y herramientas del ecosistema (dbt, Airflow, Azure Data Factory, etc.)., • Desarrollar y mantener notebooks, jobs y workflows de producción., • Colaborar con analistas y científicos de datos para garantizar que los modelos sean accesibles, consistentes y de alto valor., • OPTIMIZACIÓN Y ESCALABILIDAD, • Monitorizar y optimizar costes, rendimiento y tiempos de ejecución en clusters Databricks., • Aplicar buenas prácticas de gestión de recursos y versionado (Unity Catalog, Git, repositorios)., • Asegurar la gobernanza y seguridad del entorno (roles, permisos, data lineage)., • Identificar oportunidades de automatización y mejora continua en la infraestructura de datos., • COLABORACIÓN Y TRANSVERSALIDAD, • Trabajar con equipos de negocio para entender requerimientos y transformarlos en soluciones técnicas., • Colaborar con arquitectos de datos y equipos cloud (Azure, AWS o GCP) en el diseño de arquitecturas escalables., • Participar en la definición de estándares y buenas prácticas en ingeniería y analítica de datos., • Documentar procesos, flujos y componentes para asegurar la mantenibilidad y transferencia de conocimiento., • OPTIMIZACIÓN DE COSTES, • Analizar y monitorizar costes asociados al uso de plataformas cloud, especialmente en Looker., • Desarrollar dashboards de control y seguimiento de gasto en Looker para identificar oportunidades de optimización., • Colaborar con equipos cross para definir estrategias de eficiencia y ahorro en costes., • LIDERAZGO (PARA PERFILES MÁS SENIORS), • Liderar workshops técnicos con clientes para definir arquitecturas y estrategias de datos sobre Databricks., • Asesorar en la adopción de buenas prácticas de ingeniería, CI/CD y gobierno de datos., • Guiar a equipos técnicos en el uso eficiente de la plataforma y la integración con otras herramientas cloud., • Mentoring a perfiles junior en programación PySpark, modelado Delta y optimización de pipelines. ¿QUÉ ESPERAMOS DE TI? • Experiencia mínima de 2 años trabajando con Databricks en entornos cloud (Azure, AWS o GCP)., • Dominio de PySpark, SQL y modelado de datos., • Conocimientos en Delta Lake, Unity Catalog y herramientas de orquestación (Airflow, ADF, etc.)., • Experiencia en integración de datos desde distintas fuentes y diseño de arquitecturas escalables., • Capacidad para interactuar con equipos técnicos y de negocio, comunicando de forma clara y orientada a valor., • Se valorarán certificaciones en Databricks o Cloud. ¿QUE ENCONTRARÁS EN SEIDOR? • Un equipo diverso. Respetamos las diferencias que nos hacen más humanos. 💜, • Compañerismo. Trabajamos en equipo y aprendemos los unos de los otros., • Flexibilidad y conciliación. El teletrabajo está en nuestro ADN. Promovemos la flexibilidad horaria, y tenemos jornada intensiva los viernes y los meses de julio y agosto. 🙌, • Aprendizaje continuo. Formaciones en idiomas, técnicas, certificaciones, etc., • Carrera profesional individualizada, para que seas tú quien decide hasta dónde quieres llegar. 🚀, • Autonomía y posibilidad de proponer y promover nuevas oportunidades., • Programa de retribución flexible. Tickets guardería, restaurante, transporte, y seguro médico., • Descuentos exclusivos y condiciones especiales en tecnología, ocio, viajes, etc. 🌟, • Podrás formar parte de iniciativas solidarias y relacionadas con el medio ambiente., • Si tienes inquietudes internacionales, estamos en 45 países. 🌍 ¡Únete a nuestro equipo y ayúdanos a humanizar el mundo a través de la tecnología!

A leading tech company in the e-commerce space is looking for a Software Engineer to work on the deepest part of the products in an autonomous and multidisciplinary product team to provide solutions according to the business needs. Key responsibilities: • You will work in a Python-based ecosystem, ideally using hexagonal architecture., • Building high-performance and scalable data pipelines using our data platform and technologies such as PySpark, Delta Lake, and MLFlow., • Collaborating closely with the Product Manager and Technical Lead to ensure the technical feasibility of new proposals., • Ensuring that all solutions are scalable, maintainable, and accessible., • Contributing to product quality through comprehensive testing (unit, integration, contract, end-to-end, etc.). Skills and experience: • 5+ years of hands-on experience in SQL and Python-based ecosystems, ideally with hexagonal, DDD, or event-driven architectures., • Strong experience in Databricks or similar unified data environments., • Proven experience deploying and maintaining ML models in production., • Knowledge of LLM models, fine-tuning, and prompt engineering., • A collaborative mindset — you’ll work with multiple internal and external teams, clients, and providers., • Passion for coding, technical problem-solving, and emerging technologies., • Ability to quickly learn, understand, and apply best practices aligned with our technical challenges., • Advanced level of English (written and spoken). Why you’ll love joining us: • A remote-friendly environment that supports work-life balance., • Flexible schedules that adapt to your lifestyle., • Access to a learning platform to support your professional growth., • Competitive compensation with flexible benefits., • The chance to make a tangible business impact from day one., • The opportunity to work in an autonomous, cross-functional team where decisions are made collaboratively

Our Engineering department is growing, and we’re now looking for a Senior Data Engineer - Databricks (m/f/*) to join our team in Spain, supporting our global growth. As Senior Data Engineer (m/f/*), you design and optimize data processing algorithms on a talented, cross-functional team. You are familiar with the Apache open-source suite of technologies and want to contribute to the advancement of data engineering. WHAT WE OFFER • Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Spain), • A chance to accelerate your career and work with outstanding colleagues in a supportive learning community split across 3 continents, • Contribute your ideas to our unique projects and make an impact by turning them into reality, • Balance your work and personal life through our workflow organization and decide yourself if you work at home, in the office, or on a hybrid setup, • Annual performance review, and regular feedback cycles, generating distinct value by connecting colleagues through networks rather than hierarchies, • Individual development plan, professional development opportunities, • Educational resources such as paid certifications, unlimited access to Udemy Business, etc., • Local, virtual, and global team events, in which UT colleagues become acquainted with one another WHAT YOU’LL DO • Design, implement, and maintain scalable data pipelines using Databricks Lakehouse Platform, with a strong focus on Apache Spark, Delta Lake, and Unity Catalog., • Lead the development of batch and streaming data workflows that power analytics, machine learning, and business intelligence use cases., • Collaborate with data scientists, architects, and business stakeholders to translate complex data requirements into robust, production-grade solutions., • Optimize performance and cost-efficiency of Databricks clusters and jobs, leveraging tools like Photon, Auto Loader, and Job Workflows., • Establish and enforce best practices for data quality, governance, and security within the Databricks environment., • Mentor junior engineers and contribute to the evolution of the team’s Databricks expertise. WHAT YOU’LL BRING • Deep hands-on experience with Databricks on Azure, AWS, or GCP, including Spark (PySpark/Scala), Delta Lake, and MLflow., • Strong programming skills in Python or Scala, and experience with CI/CD pipelines (e.g., GitHub Actions, Azure DevOps)., • Solid understanding of distributed computing, data modeling, and performance tuning in cloud-native environments., • Familiarity with orchestration tools (e.g., Databricks Workflows, Airflow) and infrastructure-as-code (e.g., Terraform)., • A proactive mindset, strong communication skills, and a passion for building scalable, reliable data systems., • Professional Spanish & English communication skills (C1-level, written and spoken). Did we pique your interest, or do you have any questions? We want to hear from you: contact us at ABOUT US Ultra Tendency is an international premier Data Engineering consultancy for Big Data, Cloud, Streaming, IIoT and Microservices. We design, build, and operate large-scale data-driven applications for major enterprises such as the European Central Bank, HUK-Coburg, Deutsche Telekom, and Europe’s largest car manufacturer. Founded in Germany in 2010, UT has developed a reliable client base and now runs 8 branches in 7 countries across 3 continents. We do more than just leverage tech, we build it. At Ultra Tendency we contribute source code to +20 open-source projects including Ansible, Terraform, NiFi, and Kafka. Our impact on tech and business is there for anyone to see. Enterprises seek out Ultra Tendency because we solve the problems others cannot. We love the challenge: together, we tackle diverse and unique projects you will find nowhere else. In our knowledge community, you will be a part of a supportive network, not a hierarchy. Constant learning and feedback are our drivers for stable development. With us you can develop your individual career through work-life balance. We evaluate your application based on your skills and corresponding business requirements. Ultra Tendency welcomes applications from qualified candidates regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age. Data privacy statement: ___

Our Engineering department is growing, and we’re now looking for a Senior Data Engineer - Databricks (m/f/*) to join our team in Spain, supporting our global growth. As Senior Data Engineer (m/f/*), you design and optimize data processing algorithms on a talented, cross-functional team. You are familiar with the Apache open-source suite of technologies and want to contribute to the advancement of data engineering. WHAT WE OFFER • Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Spain), • A chance to accelerate your career and work with outstanding colleagues in a supportive learning community split across 3 continents, • Contribute your ideas to our unique projects and make an impact by turning them into reality, • Balance your work and personal life through our workflow organization and decide yourself if you work at home, in the office, or on a hybrid setup, • Annual performance review, and regular feedback cycles, generating distinct value by connecting colleagues through networks rather than hierarchies, • Individual development plan, professional development opportunities, • Educational resources such as paid certifications, unlimited access to Udemy Business, etc., • Local, virtual, and global team events, in which UT colleagues become acquainted with one another WHAT YOU’LL DO • Design, implement, and maintain scalable data pipelines using Databricks Lakehouse Platform, with a strong focus on Apache Spark, Delta Lake, and Unity Catalog., • Lead the development of batch and streaming data workflows that power analytics, machine learning, and business intelligence use cases., • Collaborate with data scientists, architects, and business stakeholders to translate complex data requirements into robust, production-grade solutions., • Optimize performance and cost-efficiency of Databricks clusters and jobs, leveraging tools like Photon, Auto Loader, and Job Workflows., • Establish and enforce best practices for data quality, governance, and security within the Databricks environment., • Mentor junior engineers and contribute to the evolution of the team’s Databricks expertise. WHAT YOU’LL BRING • Deep hands-on experience with Databricks on Azure, AWS, or GCP, including Spark (PySpark/Scala), Delta Lake, and MLflow., • Strong programming skills in Python or Scala, and experience with CI/CD pipelines (e.g., GitHub Actions, Azure DevOps)., • Solid understanding of distributed computing, data modeling, and performance tuning in cloud-native environments., • Familiarity with orchestration tools (e.g., Databricks Workflows, Airflow) and infrastructure-as-code (e.g., Terraform)., • A proactive mindset, strong communication skills, and a passion for building scalable, reliable data systems., • Professional Spanish & English communication skills (C1-level, written and spoken). Did we pique your interest, or do you have any questions? We want to hear from you: contact us at ABOUT US Ultra Tendency is an international premier Data Engineering consultancy for Big Data, Cloud, Streaming, IIoT and Microservices. We design, build, and operate large-scale data-driven applications for major enterprises such as the European Central Bank, HUK-Coburg, Deutsche Telekom, and Europe’s largest car manufacturer. Founded in Germany in 2010, UT has developed a reliable client base and now runs 8 branches in 7 countries across 3 continents. We do more than just leverage tech, we build it. At Ultra Tendency we contribute source code to +20 open-source projects including Ansible, Terraform, NiFi, and Kafka. Our impact on tech and business is there for anyone to see. Enterprises seek out Ultra Tendency because we solve the problems others cannot. We love the challenge: together, we tackle diverse and unique projects you will find nowhere else. In our knowledge community, you will be a part of a supportive network, not a hierarchy. Constant learning and feedback are our drivers for stable development. With us you can develop your individual career through work-life balance. We evaluate your application based on your skills and corresponding business requirements. Ultra Tendency welcomes applications from qualified candidates regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age. Data privacy statement: ___

Humanizando la Tecnología. Somos una gran empresa con alma de start-up. Nos organizamos por unidades de conocimiento expertas que colaboran entre sí. Por ello buscamos personas inquietas, que les motiven los retos y con ganas de crecer personal y profesionalmente, que se unan a nuestro equipo para tener un impacto positivo en el mundo a través de la tecnología ¿QUÉ HARÁS EN TU DÍA A DÍA? Como Ingeniero de Datos en Databricks, serás responsable de diseñar, desarrollar y optimizar pipelines de datos y modelos analíticos sobre la plataforma Databricks, garantizando un flujo de datos eficiente, seguro y escalable. Trabajarás estrechamente con equipos técnicos y de negocio para construir arquitecturas modernas que impulsen la analítica avanzada y la toma de decisiones basada en datos. • INGENIERÍA Y MODELADO DE DATOS, • Diseñar, implementar y optimizar pipelines de datos en Databricks (PySpark, SQL, Delta Live Tables, etc.)., • Modelar datos en capas bronze, silver y gold, asegurando su calidad, trazabilidad y rendimiento., • Integrar Databricks con diferentes fuentes (APIs, bases de datos, cloud storage, etc.) y herramientas del ecosistema (dbt, Airflow, Azure Data Factory, etc.)., • Desarrollar y mantener notebooks, jobs y workflows de producción., • Colaborar con analistas y científicos de datos para garantizar que los modelos sean accesibles, consistentes y de alto valor., • OPTIMIZACIÓN Y ESCALABILIDAD, • Monitorizar y optimizar costes, rendimiento y tiempos de ejecución en clusters Databricks., • Aplicar buenas prácticas de gestión de recursos y versionado (Unity Catalog, Git, repositorios)., • Asegurar la gobernanza y seguridad del entorno (roles, permisos, data lineage)., • Identificar oportunidades de automatización y mejora continua en la infraestructura de datos., • COLABORACIÓN Y TRANSVERSALIDAD, • Trabajar con equipos de negocio para entender requerimientos y transformarlos en soluciones técnicas., • Colaborar con arquitectos de datos y equipos cloud (Azure, AWS o GCP) en el diseño de arquitecturas escalables., • Participar en la definición de estándares y buenas prácticas en ingeniería y analítica de datos., • Documentar procesos, flujos y componentes para asegurar la mantenibilidad y transferencia de conocimiento., • OPTIMIZACIÓN DE COSTES, • Analizar y monitorizar costes asociados al uso de plataformas cloud, especialmente en Looker., • Desarrollar dashboards de control y seguimiento de gasto en Looker para identificar oportunidades de optimización., • Colaborar con equipos cross para definir estrategias de eficiencia y ahorro en costes., • LIDERAZGO (PARA PERFILES MÁS SENIORS), • Liderar workshops técnicos con clientes para definir arquitecturas y estrategias de datos sobre Databricks., • Asesorar en la adopción de buenas prácticas de ingeniería, CI/CD y gobierno de datos., • Guiar a equipos técnicos en el uso eficiente de la plataforma y la integración con otras herramientas cloud., • Experiencia mínima de 2 años trabajando con Databricks en entornos cloud (Azure, AWS o GCP)., • Dominio de PySpark, SQL y modelado de datos., • Conocimientos en Delta Lake, Unity Catalog y herramientas de orquestación (Airflow, ADF, etc.)., • Experiencia en integración de datos desde distintas fuentes y diseño de arquitecturas escalables., • Capacidad para interactuar con equipos técnicos y de negocio, comunicando de forma clara y orientada a valor., • Un equipo diverso. Respetamos las diferencias que nos hacen más humanos., • Compañerismo. Trabajamos en equipo y aprendemos los unos de los otros., • Flexibilidad y conciliación. El teletrabajo está en nuestro ADN. Promovemos la flexibilidad horaria, y tenemos jornada intensiva los viernes y los meses de julio y agosto., • Aprendizaje continuo. Formaciones en idiomas, técnicas, certificaciones, etc., • Carrera profesional individualizada, para que seas tú quien decide hasta dónde quieres llegar., • Autonomía y posibilidad de proponer y promover nuevas oportunidades., • Programa de retribución flexible. Tickets guardería, restaurante, transporte, y seguro médico., • Descuentos exclusivos y condiciones especiales en tecnología, ocio, viajes, etc., • Podrás formar parte de iniciativas solidarias y relacionadas con el medio ambiente.

~ Rol de Senior Data Engineer ~100% remoto - ~ España Sobre el perfil: Buscamos un Senior Data Engineer con especialización en Starburst (Trino) y Dell Data Lakehouse para unirse a nuestro equipo de IA y Datos . Serás responsable de desplegar, mantener y optimizar las instalaciones de Starburst y Dell Data Lakehouse, permitiendo que nuestros clientes accedan sin problemas a sus datos a través de múltiples plataformas. Funciones: Implementar, administrar y optimizar entornos de Starburst (Trino) y Data Lakehouse (Dell, Databricks, Delta Lake o similares). Configurar servidores, catálogos y aplicaciones , garantizando rendimiento y estabilidad. Integrar múltiples fuentes de datos en una plataforma unificada para análisis. Diseñar soluciones en contenedores (Kubernetes/OpenShift) escalables y eficientes. Aplicar controles de seguridad y asegurar el cumplimiento normativo. Automatizar tareas de mantenimiento y monitoreo mediante herramientas como Ansible . Resolver incidencias técnicas y realizar análisis de causa raíz. Planificar pruebas de recuperación ante desastres y elaborar documentación técnica. Colaborar con equipos de soporte y proveedores para garantizar la continuidad operativa. Perfil buscado (H/M/D): Más de 5 años de experiencia bajo el rol. Experiencia en Trino/Starburst Enterprise/Galaxy (administración y CLI). Conocimientos en Big Data (Hadoop, Hive, Spark) y nube (AWS, Azure, GCP). Dominio de Unix/Linux y orquestación de contenedores (Kubernetes/OpenShift). Comprensión de arquitecturas distribuidas , escalabilidad y alta disponibilidad. Conocimiento de autenticación y seguridad (LDAP, Active Directory, OAuth2, Kerberos). Familiaridad con JDBC/ODBC . Nivel alto de ingles. Qué ofrecemos: Un entorno dinámico con proyectos innovadores. Modalidad de trabajo flexible y 100% remoto. Oportunidades de formación y certificaciones. Salario competitivo y beneficios adicionales. Equipamiento técnico necesario para el puesto. Siguientes pasos: Si estás interesado en esta oferta, haz click en "aplicar ahora" para enviar una copia actualizada de tu CV.

Distributed data processing with Apache Spark on Databricks NoSQL schema design and performance tuning in MongoDB Data ingestion, transformation, and orchestration using Delta Lake, Apache Airflow, and Azure Data Factory CI/CD for data pipelines and version control with Git Agile methodologies and D

NTT DATA is all of us. A team of more than 190,000 professionals, as diverse as the more than 50 countries in which we operate and the different sectors in which we operate: telecommunications, financial institutions, industry, utilities, energy, public administration, and healthcare. To offer technological, business, strategy, application development, and maintenance solutions, becoming a benchmark in consulting. All thanks to the collaboration between teams, the human quality of our people, and the fact that we don't settle for the established; we always seek innovation that brings us closer to the future. Our essence has led us to the forefront of technology, to break paradigms, and to provide solutions that truly meet the needs of each client. Our talent has allowed us to proudly say that we are one of the TOP technology companies in the world. We are looking for people specialized in results-driven Data Engineer with strong expertise in building scalable data pipelines and processing large datasets using Databricks and PySpark. Distributed data processing with Apache Spark on Databricks NoSQL schema design and performance tuning in MongoDB Data ingestion, transformation, and orchestration using Delta Lake, Apache Airflow, and Azure Data Factory CI/CD for data pipelines and version control with Git Agile methodologies and DevOps practices in data engineering projects Mentor junior engineers, lead architecture reviews, and contribute to internal communities of practice on AI and cloud technologies. Distributed data processing with Apache Spark on Databricks NoSQL schema design and performance tuning in MongoDB Data ingestion, transformation, and orchestration using Delta Lake, Apache Airflow, and Azure Data Factory CI/CD for data pipelines and version control with Git Agile methodologies and DevOps practices in data engineering projects At NTT DATA, we offer: Training tailored to your needs and preferences. Flexibility and work-life balance: a hybrid work environment and flexible hours. Cutting-edge projects: the opportunity to work on high-priority projects for leading companies in Spain and Europe. The latest technology: the opportunity to apply the latest innovations in generative AI in leading international companies. Benefits: meal tickets, 100% paid medical insurance for you and 80% paid to your family if you wish them to benefit from it, and life insurance.

NTT DATA is all of us. A team of more than 190,000 professionals, as diverse as the more than 50 countries in which we operate and the different sectors in which we operate: telecommunications, financial institutions, industry, utilities, energy, public administration, and healthcare. To offer technological, business, strategy, application development, and maintenance solutions, becoming a benchmark in consulting. All thanks to the collaboration between teams, the human quality of our people, and the fact that we don't settle for the established; we always seek innovation that brings us closer to the future. Our essence has led us to the forefront of technology, to break paradigms, and to provide solutions that truly meet the needs of each client. Our talent has allowed us to proudly say that we are one of the TOP technology companies in the world. We are looking for people specialized in results-driven Data Engineer with strong expertise in building scalable data pipelines and processing large datasets using Databricks and PySpark. Distributed data processing with Apache Spark on Databricks NoSQL schema design and performance tuning in MongoDB Data ingestion, transformation, and orchestration using Delta Lake, Apache Airflow, and Azure Data Factory CI/CD for data pipelines and version control with Git Agile methodologies and DevOps practices in data engineering projects Mentor junior engineers, lead architecture reviews, and contribute to internal communities of practice on AI and cloud technologies. Distributed data processing with Apache Spark on Databricks NoSQL schema design and performance tuning in MongoDB Data ingestion, transformation, and orchestration using Delta Lake, Apache Airflow, and Azure Data Factory CI/CD for data pipelines and version control with Git Agile methodologies and DevOps practices in data engineering projects At NTT DATA, we offer: Training tailored to your needs and preferences. Flexibility and work-life balance: a hybrid work environment and flexible hours. Cutting-edge projects: the opportunity to work on high-priority projects for leading companies in Spain and Europe. The latest technology: the opportunity to apply the latest innovations in generative AI in leading international companies. Benefits: meal tickets, 100% paid medical insurance for you and 80% paid to your family if you wish them to benefit from it, and life insurance.

NTT DATA is all of us. A team of more than 190,000 professionals, as diverse as the more than 50 countries in which we operate and the different sectors in which we operate: telecommunications, financial institutions, industry, utilities, energy, public administration, and healthcare. Our mission? To offer technological, business, strategy, application development, and maintenance solutions, becoming a benchmark in consulting. All thanks to the collaboration between teams, the human quality of our people, and the fact that we don't settle for the established; we always seek innovation that brings us closer to the future. Our essence has led us to the forefront of technology, to break paradigms, and to provide solutions that truly meet the needs of each client. Our talent has allowed us to proudly say that we are one of the TOP technology companies in the world. What are we looking for? We are looking for people specialized in results-driven Data Engineer with strong expertise in building scalable data pipelines and processing large datasets using Databricks and PySpark. Your day-to-day will focus on: Distributed data processing with Apache Spark on Databricks NoSQL schema design and performance tuning in MongoDB Data ingestion, transformation, and orchestration using Delta Lake, Apache Airflow, and Azure Data Factory CI/CD for data pipelines and version control with Git Agile methodologies and DevOps practices in data engineering projects Strong problem-solving mindset and ability to work in multicultural teams business units—to ensure alignment with organizational goals. Mentor junior engineers, lead architecture reviews, and contribute to internal communities of practice on AI and cloud technologies. Why would we like to meet you? We'd love to meet you if: Distributed data processing with Apache Spark on Databricks NoSQL schema design and performance tuning in MongoDB Data ingestion, transformation, and orchestration using Delta Lake, Apache Airflow, and Azure Data Factory CI/CD for data pipelines and version control with Git Agile methodologies and DevOps practices in data engineering projects Strong problem-solving mindset and ability to work in multicultural teams What do we offer? At NTT DATA, we offer: Career development: an individualized and mentored career plan for both your personal and professional life. Training tailored to your needs and preferences. Through our Corporate University, you can complete certifications, language courses, management skills, and technical courses, and access Udemy. Great team: work in a positive team environment where you can learn from others and they from you. Flexibility and work-life balance: a hybrid work environment and flexible hours. Cutting-edge projects: the opportunity to work on high-priority projects for leading companies in Spain and Europe. The latest technology: the opportunity to apply the latest innovations in generative AI in leading international companies. Competitive salary commensurate with experience. Benefits: meal tickets, 100% paid medical insurance for you and 80% paid to your family if you wish them to benefit from it, and life insurance. Interested? If you're ready to shape the future with us, apply today! Because #Greattech, needs #GreatPeople, like you.

Distributed data processing with Apache Spark on Databricks NoSQL schema design and performance tuning in MongoDB Data ingestion, transformation, and orchestration using Delta Lake, Apache Airflow, and Azure Data Factory CI/CD for data pipelines and version control with Git Agile methodologies and D