Ofertes d'ocupació de Enginyer/a de Software a Madrid

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada13 de gen.

Python AWS Bash DevOps Terraform

En CAS Training buscamos incorporar DevOps con inglés avanzado para incorporarse a un importante proyecto del sector de industria de materiales y soluciones para la construcción con disponibilidad para cumplir esquema hibrido en 📍Madrid.

✨Requisitos:
• Inglés avanzado (B2-C1)
• Disponibilidad para realizar viajes si se tuviera la necesidad
• Disponibilidad para colaborar en guardias/festivos si es necesario
• Disponibilidad para mantener un esquema hibrido en Madrid

Es deseable:
• Conocimiento de implementación de recursos en AWS con Terraform.
• Conocimiento de arquitectura de soluciones en AWS.
• Conocimiento de herramientas de análisis de código (Sonarqube y GHAS) y creación de pruebas de rendimiento (Jmeter).
• Scripting con Python, Bash o similar.
• Cumplimiento del SLA (Acuerdo de Nivel de Servicio).

🎯Tareas:
• Brindar servicio con capacidad para gestionar y dar soporte a la implementación de aplicaciones en una plataforma DevOps.
• Colaborar con los equipos de desarrollo de productos. Nos centraremos en la automatización de compilaciones mediante pipelines de CI/CD y en la puesta en producción del código de la forma más rápida y eficiente posible.
• Brindar soporte a los servicios antes de su lanzamiento mediante consultoría de diseño de sistemas, desarrollo de plataformas y frameworks de software, planificación de capacidad y revisiones de lanzamiento.
• Utilización de automatización para escalar sistemas de forma sostenible y contribuir a la implementación de mejoras, evolucionando sistemas e impulsando cambios que mejoren la fiabilidad, la velocidad y la seguridad.
• Colaborar con los equipos de producto de TI para implementar nuevas versiones de software en recursos en la nube.
• Colaborar con los equipos de DevOps para garantizar que los nuevos entornos cumplan los requisitos y se ajusten a las mejores prácticas.
• Propuesta de arquitectura (teniendo en cuenta las necesidades y restricciones de EDC), procedimiento de creación/integración/administración (IaC y automatización son obligatorios), transferencia completa de conocimientos (basada en la documentación previa y grabaciones de vídeo de la propia KT).

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada13 de gen.

Python TSQL Azure AWS

´Seguimos caminando juntos?

¿Qué buscamos?

Buscamos un/a Data Engineer con al menos 2 años de experiencia en proyectos de backend orientados a datos, que haya participado en el diseño y desarrollo de pipelines de datos end-to-end, cubriendo las distintas capas de ingesta, transformación y almacenamiento.

¿Qué funciones desarrollaras?
- Diseñar, desarrollar y mantener pipelines de datos end-to-end, desde la ingesta hasta la capa de consumo.
- Implementar procesos de ingesta de datos desde múltiples fuentes (APIs, bases de datos, ficheros, sistemas externos).
- Desarrollar procesos de transformación y enriquecimiento de datos asegurando calidad, trazabilidad y eficiencia.
- Diseñar y optimizar modelos de datos orientados a analítica y reporting.
- Trabajar con servicios de Azure como:
- Azure Data Factory para orquestación de pipelines.
- Azure Data Lake Storage para almacenamiento de datos.
- Azure Synapse, Databricks y/o Microsoft Fabric para procesamiento y transformación.
- Implementar buenas prácticas de versionado, control de errores, logging y monitorización de pipelines.
- Colaborar con equipos de BI, analítica y negocio para entender requisitos y traducirlos a soluciones técnicas.
- Participar en decisiones de arquitectura de datos y mejora continua de las soluciones existentes.
- Documentar los desarrollos y flujos de datos de forma clara y mantenible.

Requisitos:
- Al menos 2 años de experiencia en proyectos de Data Engineering o backend orientados a datos.
- Experiencia en Azure (Azure Data Factory, Azure Databricks, Azure Synapse, Azure Data Lake o Microsoft Fabric) o AWS.
- Experiencia programando en Python y SQL.
- Conocimientos de modelado de datos y arquitecturas tipo Data Lake / Data Warehouse / Lakehouse.
- Nivel intermedio de inglés.

¿Qué te ofrecemos?
- Contarás con un modelo de trabajo híbrido-flexible
- Podrás optar a un sistema de retribución flexible, servicio médico, seguro de salud, seguro de vida y accidente
- Contarás con un plan de formación a lo largo de tu trayectoria profesional
- Te desarrollarás en una cultura de feedback donde fomentar tu aprendizaje continuo
- Participarás si te interesa en programas de acción social y voluntariado de alcance nacional e internacional
- Disfrutarás de una oferta cultural y deportiva

¡Ahora la decisión es tuya! Si crees que este puesto está hecho para ti, haz clic en ´Solicitar´ y completa tu perfil para que podamos valorar tu solicitud. Si encajas en el perfil, nuestro equipo de captación se pondrá en contacto contigo para conocerte.

A partir de ahí te iremos guiando por nuestro proceso de selección y comenzará tu historia en Deloitte.

What impact will you make?

Deloitte es una Firma de servicios profesionales firmemente comprometida con la igualdad de oportunidades. En este sentido, la Firma aceptará y tramitará solicitudes de todos los sectores de la sociedad, no discriminando por motivos de sexo, expresión de género, raza, religión o creencias, origen étnico o nacional, discapacidad, enfermedad o condición de salud, predisposición genética a sufrir patologías, edad, ciudadanía, estado civil, orientación o identidad sexual, situación socioeconómica o cualquier otra condición o circunstancia personal o social.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada12 de gen.

Agile Scrum DevOps Kanban

WELCOME TO BASF

Digitalization will be a true part of BASF´s DNA that creates new exciting customer experiences and business growth and drives efficiencies in processes. This is our digital VISION for BASF.

RESPONSIBILITIES

- Support gathering of requirements and creation of user stories.
- Design solutions and do configurations/customization.
- Support the technical consultants in functional topics.
- Prepare and execute functional tests.
- Maintain user documentation.
- Maintenance and Creation of Outputs via Adobe Form
- Collaborate with internal BASF partners.
- Support ongoing activities related to output. Work on tickets, this comprises analysis of the issues, implementation of solutions, instruction, and training of the affected user.
- Support change requests / projects with effort estimations.
- Active participation in Scrum events; proactive, self-organized pulling of tasks from an agile backlog.
- Support of the BASF Digital roadmap, helping GDS to identify, execute and implement customer-centric digital solutions in an actionable and measurable way.

QUALIFICATIONS

- Successfully completed studies in computer science, business informatics or a comparable qualification
- Minimum 4-6 years related working experience with complex SAP applications.
- Experience with S/4 HANA
- Good functional knowledge of processes in SAP SD / Order-To-Cash
- Good knowledge of SAP SD customization.
- Knowledge of SAP output technologies: Adobe Forms
- Working in an international environment, excellent English language skills
- Agile mindset, self-organized way of working.

Nice to have
- Experience with SAP Fiori
- Know-how of SAP Business Technology Platform (BTP)
- Know-how of other SAP modules like MM / FI / TM
- Experience with agile frameworks like Scrum or Kanban
- Good communication skills
- Good team player

WHAT WE OFFER

- A secure work environment because your health, safety and wellbeing is always our top priority.
- Flexible work schedule and Home-office options, so that you can balance your working life and private life.
- Learning and development opportunities
- 23 holiday days per year
- 5 additional days (readjustment)
- 2 cultural days
- A collaborative, trustful and innovative work environment
- Being part of an international team and work in global projects
- Relocation assistance to Madrid provided

At BASF, the chemistry is right

Because we are counting on innovative solutions, on sustainable actions, and on connected thinking. And on you. Become a part of our formula for success and develop the future with us - in a global team that embraces diversity and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada12 de gen.

Python TSQL Cloud Coumputing REST Fintech Big Data Office

Ebury is a global fintech firm dedicated to empowering businesses to expand internationally through tailored and forward-thinking financial solutions. Since our founding in 2009, we´ve grown to a diverse team of over 1,700 professionals across 40+ offices and 29+ markets worldwide. Joining Ebury means becoming part of a collaborative and innovative environment where your contributions are valued. You´ll play a key role in shaping the future of cross-border finance, while advancing your own career in a dynamic, high-growth industry.

Senior Data Engineer

Madrid Office - Hybrid: 4 days in the office, 1 day working from home

Join Our Data Team at Ebury Madrid Office.

Ebury´s strategic growth plan would not be possible without our Data team and we are seeking a Senior Data Engineer to join our Data Engineering team!
Our data mission is to develop and maintain Ebury´s Data Platform and serve it to the whole company, where Data Scientists, Data Engineers, Analytics Engineers and Data Analysts work collaboratively.

As a Senior Data Engineer, you will work closely with the rest of the team to help model and maintain the Data Platform.

What we offer:
- Competitive salary and benefits package
- Discretionary bonus based on performance
- Continued personal development through training and certification
- We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects

Responsibilities:
- Be mentored by one of our outstanding performance team member along a 30/60/90 plan designed only for you
- Participate in data modelling reviews and discussions to validate the model´s accuracy, completeness, and alignment with business objectives
- Design, develop, deploy and maintain ELT/ETL data pipelines from a variety of data sources (transactional databases, REST APIs, file-based endpoints)
- Serve hands-on delivery of data models using solid software engineering practices (eg. version control, testing, CI/CD)
- Manage overall pipeline orchestration using Airflow (hosted in Cloud Composer), as well as execution using GCP hosted services such as Container Registry, Artifact Registry, Cloud Run, Cloud Functions, and GKE
- Work on reducing technical debt by addressing code that is outdated, inefficient, or no longer aligned with best practices or business needs
- Collaborate with team members to reinforce best practices across the platform

About you:
- 5+ years of data/analytics engineering experience building, maintaining & optimising data pipelines & ETL processes on big data environments
- Proficiency in Python and SQL
- Knowledge of software engineering practices in data (SDLC, RFC...)
- Stay informed about the latest developments and industry standards in Data
- Fluency in English
- As a plus:
• Experience with our modern Data stack tools
• Dimensional modelling/data warehousing concepts knowledge
• Spanish language

If you´re excited about this job opportunity but your background doesn´t match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have.

You can also connect with me on LinkedIn - Gabriella Cheston

#LI-GC2

#LI-HYBRID

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada8 de gen.

Python Docker Cloud Coumputing Kubernetes Elasticsearch Microservices AWS Kafka Spark Machine Learning Office

Hey there!
We´re Fever, the world´s leading tech platform for culture and live entertainment,

Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we´re revolutionizing the way people engage with live entertainment.

Every month, our platform inspires over 300 million people in +40 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.

Our results? We´ve teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right?

To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment!

Ready to be part of the experience?

Now, let´s discuss this role and what you will do to help achieve Fever´s mission.

The Role

We´re looking for a Lead ML Engineer with strong technical expertise and proven leadership skills. Beyond building robust, scalable, and maintainable systems, you´ll be responsible for growing and mentoring a high-performing ML team, leading cross-functional projects, and managing stakeholders.

You´ll set the technical direction, ensure engineering excellence, and create an environment where engineers can thrive. From recommendations and search to marketing optimization and process automation, your work will shape the future of ML at Fever.
What you´ll do
- Drive the design, implementation, and delivery of scalable ML systems, from data ingestion and model development to deployment and production performance.
- Oversee and ensure reliability of distributed, event-driven systems handling 1000+ requests per second.
- Define best practices in ML engineering, ensuring clean architecture, testability, and long-term maintainability.
- Hire, mentor, and grow a team of ML engineers, fostering a collaborative and high-performance culture.
- Collaborate closely with Data Engineering and Data Science teams to ensure strong data foundations, seamless model integration, and shared impact.
- Provide technical and strategic leadership in ML projects, aligning priorities with business goals.
- Act as a bridge between engineering, product, and business stakeholders: translating requirements, managing expectations, and delivering impact.
- Collaborate with DICE, Onebox, and other Fever group teams to strengthen the Fever ecosystem.

What we´re looking for
- Strong software engineering and ML expertise, with hands-on experience in Python, productionizing models, and building scalable systems (event-driven architectures, microservices, APIs, and databases).
- Solid experience with cloud and container orchestration (AWS, Docker, Kubernetes), modern ML/engineering tooling (e.g., Airflow, MLFlow) , CI/CD and observability.
- Proven ability to set engineering best practices, ensuring reliability, performance, and long-term maintainability of ML solutions.
- Experience leading engineering projects, setting direction, and coordinating stakeholders.
- Track record of hiring, mentoring, and growing engineering teams.
Bonus points for
- Experience with ML platforms (MLFlow, MetaFlow, DeepNote) and search/streaming technologies (ElasticSearch, Kafka, Flink, Spark Streaming).
- Building and shipping recommender systems, ranking services, or marketplace ML solutions at scale.
- Hands-on experience with marketing APIs (Meta, Google) or similar integrations.
- Side projects or open-source contributions in data-driven applications.

The environment
- Product-driven, cloud-native (AWS), fast-moving team.
- We care about code quality, performance, testability, and long-term maintainability.
- We hire builders: people who like to own systems end to end and enjoy working across the stack.
- Leadership is hands-on and collaborative, setting the pace through initiative, example, and accountability.

Benefits & Perks
- Responsibility from day one and professional and personal growth
- Opportunity to have a real impact in a high-growth global category leader
- A compensation package consisting of base salary and the potential to earn a significant bonus for top performance
- Stock options plan
- 40% discount on all Fever events and experiences
- Home office friendly, location in Madrid or Barcelona required
- Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
- English / Spanish Lessons
- Wellhub Membership
- Possibility to receive in advance part of your salary by Payflow.

Thank you for considering joining Fever. We cannot wait to learn more about you!

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada7 de gen.

Teletreball . Eclipse Big Data Office

Job Description:

The candidate will join the Health Management and Predictive Analytics team and will contribute to the development of Health Management systems in several platforms (FCAS, A400M, PATMAR, SIRTAP, ED, Hurjet, etc..) participating in the following activities:

• Lead systems engineering activities in order to specify, develop, integrate, qualify and certify health management systems in accordance with Airbus Defence and Space standards.
• Be responsible to define HUMS architecture, acting as HW/SW analyst for the development of Big Data on-board.
• Have the ability to identify the activities of the development life cycle that are necessary to develop a system/product and provide the level of confidence which is consistent with regulation and program requirements.
• Gather customer requirements for its analysis and incorporation in the product.
• Define checkpoints and reviews with associated maturity expectation aligned with program phases and gates
• Provide sufficient detailed data and information about system elements to enable the implementation consistent with architectural entities as defined in models and views of the system architecture and in accordance with the allocated requirements.
• Be responsible for the integration of the Health management system integration on aircraft.
• Specify, require, and support Laboratory, Ground and Flight tests needed for the development, certification and qualification (V&V) of Health Management systems.
• Lead data management activities for massive information, from data gathering, manipulating processing and storing.
  
  

Next skills for this positions would be appreciated:

• Experience in on-board hardware and software equipment design life-cycle and supplier management.
• Experience in SW development
• Experience in development on-boarded high performance computers.
• Experience working in A400M and C-295.
• Excellent knowledge of development & integration activities, from requirements capture to verification/validation activities to achieve a qualified/certified system. That includes engineering fields as safety, quality assurance, configuration control, etc. applied to health management systems.
• Good knowledge of procurement activities, from supplier selection to control and monitoring activities.
• Tools requirements for system engineering: DOORS, ICDMS, CASE, ABDs, Eclipse.
• Good communication skills, assertiveness and willingness to travel
• Strong Spanish and English skills, both verbal and written.
  
  

WHICH BENEFITS WILL YOU HAVE AS AIRBUS EMPLOYEE?

At Airbus we are focused on our employees and their welfare. Take a look at some of our social benefits:

• Vacation days and additional days-off along the year (+35 days off in total).
• Attractive salary and compensation package.
• Hybrid model of working when possible, promoting the work-life balance (40% remote work).
• Collective transport service in some sites.
• Benefits such as health insurance, employee stock options, retirement plan, or study grants.
• On-site facilities (among others): free canteen, kindergarten, medical office.
• Possibility to collaborate in different social and corporate social responsibility initiatives.
• Excellent upskilling opportunities and great development prospects in a multicultural environment.
• Special rates in products & benefits.
  
  

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

Airbus Defence and Space SAU

Employment Type:

Permanent

Experience Level:

Professional

Job Family:

Computing&Comm and Info& Data Processing

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.

Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [email protected] .

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

#YESPOST

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada7 de gen.

Teletreball Excel

En Arelance sabemos que las personas son el activo más importante dentro de una empresa y por tanto invertimos muchos esfuerzos en buscar los mejores profesionales para nuestros clientes, y en ofrecer a nuestros candidatos los mejores proyectos.

En este momento buscamos un/a Data Engineer para participar en la revisión, validación y reconciliación de datos provenientes tanto de soluciones de reporting automatizadas (UDP – Unified Data Platform) como de fuentes de reporting manuales (Excel). El objetivo principal del rol será identificar discrepancias, asegurar la calidad del dato y escalar inconsistencias, garantizando la fiabilidad y precisión de la información reportada, especialmente en datos de ingredientes y packaging.

¿Qué buscamos en ti?
- Experiencia en procesamiento y análisis de datos.
- Capacidad para trabajar con grandes volúmenes de datos y múltiples fuentes.
- Buen manejo de Excel (validaciones, comparativas, análisis).
- Conocimientos en plataformas de datos o reporting automatizado (UDP - Unified Data Platform).
- Alta atención al detalle y enfoque en calidad del dato.

¿Cuáles serán algunas de tus funciones?
- Revisar y validar datos procedentes de plataformas de reporting automatizadas (UDP).
- Analizar y contrastar información proveniente de fuentes manuales (Excel).
- Identificar discrepancias e inconsistencias en los datos.
- Escalar incidencias de calidad de datos a los equipos correspondientes.
- Asegurar la fiabilidad, precisión y coherencia de los datos reportados.
- Colaborar con equipos de datos y negocio para la resolución de problemas de reconciliación.
- Documentar hallazgos, procesos y reglas de validación de datos.

¿Qué ofrecemos en esta posición?
- Contrato indefinido en Arelance
- Modalidad de trabajo 100% remoto dentro de España
- SBA a negociar según experiencia y valía.
- Acceso a formación
- Contratación indefinida o flexibilidad para contratación freelance
- Jornada intensiva en verano y todos los viernes del año.


Si estás interesado/a en una oportunidad como ésta, ¡inscríbete! ¡Queremos conocerte!

** Solo se valorarán candidaturas con residencia y permiso de trabajo vigente en España **

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada4 de gen.

. TSQL Azure Cloud Coumputing Git DevOps Terraform Spark

En Axazure buscamos un/a Data Engineer con alma de pionero que quiera darlo todo en proyectos de Microsoft Fabric 🤓. Si te mueves con soltura entre Data Pipelines, Dataflows Gen2, notebooks Spark y Delta Lake, y las palabras “OneLake, CI/CD y Medallion” te emocionan… sigue leyendo.

Lo que harás 🚀

• Diseñar canalizaciones con Data Pipelines + Dataflows Gen2 aplicando principios Medallion.
• Construir capas Bronze / Silver / Gold en Lakehouse usando Spark Notebooks y Delta Lake.
• Aplicar transformaciones potentes: enriquecimiento, filtrado, armonización… lo que toque 💥.
• Automatizar despliegues con Git integration y CI/CD (GitHub Actions o Azure DevOps).
• Configurar seguridad con OneLake RBAC, Key Vault, Managed Identity y VNET/Data Gateway.
• Monitorizar uso, rendimiento y costes, proponiendo mejoras sin parar.
• Documentar buenas prácticas para que Fabric se entienda y se quiera ❤️.

Lo que buscamos 🔍

• 2-3 años trabajando con Microsoft Cloud y datos.
• Experiencia real en Microsoft Fabric (Pipelines, Dataflows Gen2, Spark Notebooks).
• Conocimiento sólido de Delta Lake y arquitectura Lakehouse / Medallion.
• Dominio de SQL y PySpark para transformar a lo grande.
• Experiencia en seguridad y gobierno (Key Vault, RBAC, redes privadas).
• Te suena lo que es CI/CD y sabes lo básico de IaC con Bicep o Terraform.
• Si has trabajado con Dynamics 365 F&O, FinOps o proyectos de analítica de costes, suma puntos.

Certis:

✅ DP-600 u otra relacionada con Microsoft Fabric.

¿Qué te ofrecemos? 🎁

• Formación continua, marca personal y proyectos que molan de verdad.
• Seguro médico, clases de inglés, y flexibilidad total.
• Jornada intensiva en verano y vísperas de festivos.
• Un equipo de cracks, referentes de verdad.
• SAS (Share Axazure Success) para que celebres los logros con euros. 💰

Hemos venido a dejar huella únete a Axazure 💥🤘

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada4 de gen.

. Python TSQL Cloud Coumputing Scala AWS Spark Big Data

Buscamos un/a Ingeniero/a de Datos Senior con amplia experiencia en entornos cloud y ecosistemas Big Data.

Tareas

Formarás parte de un equipo clave en la evolución del Lago de Datos, asegurando la calidad, fiabilidad y rendimiento de los sistemas analíticos.

Requisitos

• Más de 5 años de experiencia como Ingeniero/a de Datos en entornos complejos (valorable sector educativo o institucional).


• Dominio del modelado de datos (conceptual, lógico y físico).


• Experiencia en arquitecturas Data Lake y Data Lakehouse en AWS:
  
  S3, Glue, Athena, Redshift, Lambda.


• Manejo avanzado de herramientas de procesamiento de datos en la nube:
  
  AWS Glue, Apache Spark, PySpark, Databricks y herramientas de orquestación como Airflow.


• SQL avanzado + Python y/o Scala aplicados a datos.


• Definición y mantenimiento de pipelines ETL/ELT robustos, escalables y monitorizables.


• Experiencia en catálogo de datos, metadatos y gobierno del dato:
  
  AWS Glue Data Catalog, Collibra, Alation u otros.

Se necesita:

- Titulación universitaria en:

Ingeniería Informática, Telecomunicaciones, Industrial, Matemáticas, Estadística o similar.

- Máster en Ingeniería de Datos, Ciencia de Datos, Big Data o Arquitectura de Sistemas

Certificaciones tipo:

- AWS Certified Data Analytics - Specialty

- AWS Certified Solutions Architect (Associate o Professional)

- Certificaciones en plataformas de integración de datos

Beneficios

• Contrato indefinido desde el primer día.


• Proyecto inicial de 3 meses, prorrogable y con reubicación posterior en otros proyectos.


• Modalidad híbrida en Madrid:
  
  Inicio presencial durante la fase de adaptación. Posteriormente, modelo híbrido.


• Salario bruto anual de 42-45k

Si te motiva trabajar con grandes volúmenes de datos, arquitecturas cloud en AWS y participar en la toma de decisiones estratégicas a través de la analítica, ¡este es tu sitio!