Ofertes d'ocupació de Enginyer/a de Sistemes

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. Python TSQL Docker Cloud Coumputing Kubernetes REST SaaS Terraform Office

Hi there!

We are Semrush, a global Tech company developing our own product – a platform for digital marketers.

Are you ready to be a part of it? This is your chance! We’re hiring for Senior Data Engineer (Data Operations Team).

Tasks in the role

General Overview

• Our data ecosystem is built on self-hosted Airflow & dbt Core, along with multiple BigQuery instances.
• The current setup was built several years ago and has become highly customized.
• While this customization supports flexibility, it now limits development speed and reduces analytics efficiency.
• We’re looking for a highly technical expert who can redesign, simplify, and standardize our DWH infrastructure.
• The focus is more on stabilizing and improving the system rather than pure feature development.
  
  

Responsibilities

• Identify and carefully resolve infrastructure inefficiencies
• Conduct audits of existing infrastructure and propose improvements
• Oversee infrastructure health, performance, and cost efficiency
• Evaluate architecture proposals from peers and provide feedback
• Make key architectural proposals
• Develop and deploy IaC using Terraform
• Create and maintain CI/CD pipelines in GitLab
• Design, build, and optimize data pipelines using BigQuery, Airflow & dbt
• Monitor and troubleshoot cloud infrastructure, pipelines, and workflows Support the development and maintenance of ML/AI tools and workflows
• Conduct code reviews for merge requests
  
  

Who We Are Looking For

Hard Skills

• Proficient in System Design & Architecture
• Strong expertise in Airflow management
• Strong expertise in dbt management
• Proficient in IaC tools (Terraform)
• Proficient in CI/CD tools (GitLab)
• Advanced knowledge of SQL
• Proficient in Python
• Experienced in Monitoring & Alerting (Grafana)
• Experience with Containers (Docker, Kubernetes)
  
  

Soft Skills

• Strong project management skills across the full delivery lifecycle: from requirement gathering and decomposition to roadmapping, prioritization, execution, and delivery
• Proactive and autonomous, able to make efficient decisions with minimal supervision
• Strategic and structured thinker
• Excellent problem-solving skills and attention to detail
• Strong communication and stakeholder management skills, with ability to build reliable partnerships
  
  

We will try to create all the right conditions for you to work and rest comfortably

• Flexible working hours
• Unlimited PTO
• Flexi Benefit for your hobby
• Employee Support Program
• Loss of family member financial aid
• Employee Resource Groups
• Meals, snacks, and drinks at the office
• Corporate events
• Teambuilding
• Training, courses, conferences
  
  

A Little More About Our Company

Semrush is a leading online visibility management SaaS platform that enables businesses globally to run search engine optimization, pay-per-click, content, social media and competitive research campaigns and get measurable results from online marketing.

We've been developing our product for 17 years and have been awarded G2's Top 100 Software Products, Global and US Search Awards 2021, Great Place to Work Certification, Deloitte Technology Fast 500 and many more. In March 2021 Semrush went public and started trading on the NYSE with the SEMR ticker.

10,000,000+ users in America, Europe, Asia, and Australia have already tried Semrush, and over 1,700 people around the world are working on its development. The Semrush team is constantly growing.

Our Diversity, Equity, and Inclusion commitments

Semrush is an equal opportunity employer. Building a better future for marketers around the world unites people from all backgrounds. Even if you feel that you don’t 100% match all requirements, don’t be discouraged to apply! We are committed to ensure that everyone feels a sense of belonging in the workplace.

We do not discriminate based upon race, religion, creed, color, national origin, sex, pregnancy, sexual orientation, gender identity, gender expression, age, ancestry, physical or mental disability, or medical condition including medical characteristics, genetic identity, marital status, military service, or any other classification protected by applicable local, state or federal laws.

Our new colleague, we are waiting for you!

Anastasiia Bruk

Talent Acquisition Partner

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Teletreball . TSQL Cloud Coumputing

Elegir Capgemini es elegir la posibilidad de dar forma a tu carrera profesional como desees. Recibirás el apoyo y la inspiración de una comunidad colaborativa de colegas de todo el mundo y podrás reinventar lo que es posible. Únete a nuestro equipo y ayuda a las principales organizaciones del mundo a descubrir el valor de la tecnología y a construir un mundo más sostenible e inclusivo.

¿Te apetece sumarte a nosotros y participar en proyectos multisectoriales en un equipo conformado por profesionales del dato como Data Scientists, Data Engineers o Data Analysts? Nuestro objetivo es ayudar a nuestros clientes en el camino hacia la innovación continua.

¿Cuál será tu rol?

Estamos Buscando Un Un/a Data Engineer Con Experiencia En Snowflake Para Unirse a Nuestro Equipo De I&D. El/la Candidato/a Ideal Tendrá Experiencia En El Desarrollo y Administración De Bases De Datos En La Plataforma Snowflake, Así Como Habilidades De Comunicación En Inglés Para Colaborar Eficazmente Con Equipos Internacionales Con Estas Funciones

• Diseñar, desarrollar y mantener soluciones de bases de datos en Snowflake.
• Optimizar el rendimiento de las consultas y la gestión de datos.
• Colaborar con equipos de desarrollo y análisis para implementar soluciones de datos.
• Realizar pruebas y asegurar la calidad de los datos.
• Documentar procesos y procedimientos técnicos.
• Participar en reuniones y comunicaciones en inglés con equipos globales.
• Podrás desarrollar proyectos desde cero con la colaboración del equipo.
• Participarás en el diseño de arquitecturas y toma de decisiones en un entorno constructivo.
• Desarrollarás proyectos en Cloud.
• Construirás pipelines escalables con diferentes tecnologías.
  
  

Para desenvolverte bien en la posición se requieren conocimientos en/de:

• Experiencia demostrable en el desarrollo de bases de datos en Snowflake.
• Conocimiento profundo de SQL y técnicas de optimización de consultas.
• Nivel avanzado de inglés, tanto escrito como hablado.
• Capacidad para trabajar en equipo y comunicarse eficazmente.
• Experiencia en la integración de datos y ETL.
• Conocimiento de herramientas de BI y análisis de datos es un plus.
  
  

Se valorará positivamente el poseer certificado de discapacidad, en el marco de nuestra política de inclusión y diversidad.

Valoraremos todas las candidaturas. Contamos con una amplísima oferta formativa, presencial, online de Certificaciones, etc. Aunque no tengas el 100% de los conocimientos valorados ¡nos encantará conocerte!

Nuestro compromiso con la inclusión e igualdad de oportunidades hace que tengamos un Plan de Igualdad y un Código Ético que garantizan el desarrollo profesional de la plantilla y la igualdad de oportunidades en su selección dentro de un entorno libre de discriminación por cuestión de etnia, nacionalidad, origen social, edad, orientación sexual, expresión de género, religión o cualquier otra circunstancia personal, física o social.

¿Qué te gustará de trabajar aquí?

Tenemos un catálogo de medidas de Desarrollo y Conciliación muy completo, como son, por ejemplo:

• Modelo de teletrabajo híbrido y flexible.
• Plan de Compensación Flexible (tickets guardería, seguro médico, tarjeta restaurante o subvención de comida, transporte, formación…)
• 24 días de vacaciones + 2 asuntos propios + 24 y 31 de diciembre + opción a comprar hasta 7 días de vacaciones al año.
• FlexAbroad: posibilidad de trabajar en remoto desde otro país durante 45 días.
• Formación continua. Acceso a itinerarios de formación completos con oportunidades de certificación. Tendrás acceso gratuito a plataformas como: Coursera, Udemy, Pluralsight, Harvard Manager Mentor, Education First para idiomas …
• Wellbeing HUB - Incluye políticas y acciones para la salud física y mental.
• Participación en acciones de voluntariado y acción social con nuestros grupos de Sostenibilidad, Inclusión e Igualdad.
  
  

¿Por qué Capgemini?

Capgemini es líder global en transformar los negocios de los clientes aprovechando todo el poder de la tecnología. Nos guía el propósito de lograr un futuro inclusivo y sostenible a través de la tecnología y de la energía de quienes la desarrollamos. Somos una compañía responsable y diversa, líder internacional en servicios de IT e Ingeniería con más de 360.000 profesionales en más de 50 países. Con una sólida herencia de 55 años y una amplia experiencia en la industria, los clientes confían en Capgemini para abordar la totalidad de sus necesidades comerciales, desde la estrategia y el diseño hasta las operaciones, impulsadas por el rápido y novedoso mundo de la nube, los datos, la IA, la conectividad, el software, las plataformas e ingeniería digitales.

Reescribe tu futuro. ¡Únete al equipo!

https://www.capgemini.com/es-es

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Teletreball . Linux C++ Cloud Coumputing IoT

Work across the full Linux stack from kernel through GUI to optimise Ubuntu, the world's most widely used Linux desktop and server, for the latest silicon.

The role is a fast-paced, problem-solving role that's challenging yet very exciting. The right candidate must be resourceful, articulate, and able to deliver on a wide variety of solutions across PC and IoT technologies. Our teams partner with specialist engineers from major silicon companies to integrate next-generation features and performance enhancements for upcoming hardware.

Location: This is a Globally remote role

What your day will look like

• Design and implement the best Ubuntu integration for the latest IoT and server-class hardware platforms and software stacks
• Work with partners to deliver a delightful, optimised, first class Ubuntu experience on their platforms
• Take a holistic approach to the Ubuntu experience on partner platforms with inputs on technical plans, testing strategy, quality metrics
• Participate as technical lead on complex customer engagements involving complete system architectures from cloud to edge
• Help our customers integrate their apps, SDKs, build device OS images, optimize applications with Ubuntu Core, Desktop and Server
• Work with the most advanced operating systems and application technologies available in the enterprise world.
  
  

Joining Canonical, you will partner with bright minds from all over the world, and work with an exciting set of new technologies in a fast growing company with a truly unique and ambitious vision to build a better platform with free software. You will work with customers on exciting IoT and server platforms and technologies, built to support different verticals: from robots to data centers, from telco to retail.

What we are looking for in you

• You love technology and working with brilliant people
• You have a Bachelor's degree in Computer Science, STEM or similar
• You have experience with Linux packaging (Debian, RPM, Yocto)
• You have experience working with open source communities and licences
• You have experience working with C, C++
• You can work in a globally distributed team through self-discipline and self-motivation.
  
  

Additional Skills That You Might Also Bring

• Experience with graphics stacks
• Good understanding of networking - TCP/IP, DHCP, HTTP/REST
• Basic understanding of security best practices in IoT or server environments
• Good communication skills, ideally public speaking experience
• IoT / Embedded experience – from board and SoC, BMCs, bootloaders and firmware to OS, through apps and services
• Some experience with Docker/OCI containers/K8s
  
  

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.

• Fully remote working environment - we've been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at 'sprints'
• Priority Pass for travel and travel upgrades for long haul company events
  
  

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

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. TSQL AWS Excel Tableau

Description

- This is a 6 month Internship -

Business Intelligence Engineer 2026 - Spain

We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.

How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow

2026 Business Intelligence Engineer Internship - Spain

Do you enjoy solving complex problems and troubleshooting products? Are you passionate about developing test strategies, finding, and tracking bugs to resolution, and innovating on behalf of customers? Do you want to be a part of a fast-paced, ambiguous environment and contribute to one of the most visited sites on the Internet?

At Amazon, we hire the best minds in technology to innovate on behalf of our customers. The intense focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Business intelligence engineers use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand.

The challenges business intelligence engineers solve for at Amazon are big and affect millions of customers, sellers, and products around the world. Our path is not always simple, so we are selective about who joins us on this journey. There is a certain kind of person who takes on this role at Amazon – someone who is excited by the idea of creating new products, features, and services from scratch while managing ambiguity and the pace of a company whose ship cycles are measured in weeks, not years.

The Amazon University Talent Acquisition Team are looking for ambitious students to join us as interns at the heart of our core consumer business! Internships are flexible in length to fit in with your university’s placement scheme.

Key job responsibilities

• Develop analytical solutions to business problems that utilize the highest standards of analytical rigor and data integrity
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
• Write high quality code to retrieve and analyze data
• Analyze and solve business problems at their root, stepping back to understand the broader context
• Design pragmatic analyses and automated metrics that add value to your business area
• Understand data resources and how, when, and what to use (and what not to use).
• Develop analyses (whether fully formed or exploratory) for the business’ sake, not for analyses’ sake
• Seek to understand the business objectives relevant to your area, and align your work to those objectives and seek to deliver business value
• Proactively and continually, improve your level of knowledge about Amazon’s business and relevant data resources
  
  

A day in the life

Our Business Intelligence Engineer builds data pipelines, reports, dashboards, and analyses to deliver metrics and insights to the business.

Our Business Intelligence Engineers tackle some of the most complex challenges in large scale

computing, work in small teams across the company to contribute to the e-commerce platform that's used by millions of people all over the world. With that in mind, we require applicants to demonstrate their technical skills in a number of areas.

About The Team

If you’re insatiably curious and always want to learn more, then you’ve come to the right place. Depending on your location, country, job status and other requirements, some or all of the following benefits may be available to you as an intern.

• Competitive pay
• Impactful project and internship/role deliverables
• Networking opportunities with fellow interns
• Internships events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions.
• Mentorship and career development
  
  

If you’re successful during your internship, you could be considered for a graduate role after finishing your university studies.

Internship start dates vary throughout the year.

Internship length is ideally 6 months.

Basic Qualifications

• Are enrolled in or have completed a Bachelor's degree in computer science, computer engineering, or related field
• Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, or related fields
• Work 40 hours/week minimum and commit to 6 month internship maximum
  
  

Preferred Qualifications

• Are enrolled in or have completed a Master's degree in computer science, computer engineering, or related field
• Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools
• Experience with data querying or modeling with SQL or Excel
• Experience with SQL
  
  

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


Company - AWS EMEA SARL (Spain Branch) - G84

Job ID: A3126661

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. Python TSQL NoSQL Cloud Coumputing Scala Hadoop AWS Kafka Spark Big Data Power BI Tableau

We’re looking for a Data Engineer to evolve our data infrastructure, optimize data flows, and guarantee data availability and quality. You will partner closely with data scientists and analysts to keep a consistent, scalable data delivery architecture across all ongoing projects.

Responsibilities

• Design, build, install, test, and maintain highly scalable data management systems
• Ensure solutions meet business requirements and industry best practices
• Integrate/re-engineer emerging data-management and software-engineering technologies into existing data stacks
• Define and document standardized processes for data mining, data modeling, and data production
• Use a variety of languages and tools to stitch systems together (e.g., Python, SQL)
• Recommend improvements to increase data reliability, efficiency, and quality
• Collaborate with data architects, modelers, and IT teams to align on project goals
  
  
  

Requirements

• Bachelor’s/Master’s degree in Computer Science, Engineering, or related field or equivalent proven experience as a Data Engineer, Software Developer, or similar role
• Proficiency with the Apache ecosystem (Parquet, Hadoop, Spark, Kafka, Airflow)
• Strong hands-on experience with AWS data services (Amazon Redshift, Kinesis, Glue, S3)
• Demonstrated experience building and optimizing big-data pipelines, architectures, and datasets
• Strong analytical skills working with unstructured datasets
• Experience with relational SQL and NoSQL databases, preferably Snowflake and/or Databricks
• Familiarity with data pipeline and workflow orchestration tools
• Strong project management and organizational skills
• Excellent written and verbal communication skills
• Snaplogic knowledge is a plus
  
  
  

Preferred Skills

• Proficiency in scripting languages such as Python or Scala
• Familiarity with data visualization tools (e.g., Tableau, Power BI, QuickSight)
• AWS Cloud Practitioner, Architecture, Big Data
  
  
  

#IamBoehringerIngelheim because…

With us, you can grow, collaborate, innovate, and improve lives. We offer challenges in a global, respectful, and family-like work environment where ideas drive our innovative mindset. Flexible learning and continuous development for our team are key because your growth is our growth.

At Boehringer Ingelheim, gender equality is one of our top priorities. We not only comply with current regulations but also strive to promote it in all areas of our organization, as established in our III Equality Plan. We are committed to creating an inclusive and equitable work environment for everyone!

Our Company

Why Boehringer Ingelheim?

With us, you can develop your own path in a company with a culture that knows our differences are our strengths - and break new ground in the drive to make millions of lives better.

Here, your development is our priority. Supporting you to build a career as part of a workplace that is independent, authentic and bold, while tackling challenging work in a respectful and friendly environment where everyone is valued and welcomed.

Alongside, you have access to programs and groups that ensure your health and wellbeing are looked after - as we make major investments to drive global accessibility to healthcare. By being part of a team that is constantly innovating, you'll be helping to transform lives for generations.

Want to learn more? Visit https://www.boehringer-ingelheim.com

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Teletreball . Python TSQL Azure Cloud Coumputing Power BI

¿Te defines por tu talento y tu visión?

Entonces, tú también puedes marcar la diferencia. Únete a un entorno profesional que contribuye a la transformación de empresas y sociedad. Alcanza tus metas, supera tus límites y únete a una firma que va más allá de los servicios profesionales.

Porque marcar la diferencia no es solo algo que decimos. Es lo que hacemos.

Desarrolla tu carrera con nosotros.

¿Qué podrías hacer?

Como Senior Data Engineer, serás responsable de diseñar, construir y mantener las soluciones de Data Analytics que impulsan la transformación digital de Tax & Legal de KPMG Abogados.

Formarás parte de un equipo multidisciplinar integrado por diferentes perfiles STEAM con otras especialidades (Power Platform ,RPA, UX/UI…) y las distintas áreas de negocio, todos cualificados en distintos campos tecnológicos.

Funciones a realizar:

• Entender los problemas de negocio y traducirlo a soluciones de Data Analytics.
• Preparación de la infraestructura (Azure) y el ecosistema del que dependen el equipo de datos y las business units . Integración de diferentes soluciones dentro de un mismo entorno.
• Desarrollar y optimizar proyectos de automatización y ETL (Extract, Transform y Load).
• Procesamiento y tratamiento de datos estructurados y no estructurados, trabajando con grandes volúmenes de información (gestión de bases de datos).
• De cara a los usuarios de negocio, la herramienta será Power BI, nos encargaremos de la ingestión, la parte de ETL, la garantía de la calidad del dato y la modelización.
• Participarás en todo el ciclo completo de los proyectos.

¿Qué necesitas saber?

• Titulación en Matemáticas / Estadística / Ingeniería Informática / Telecomunicaciones o estudios híbridos en estas materias
• Al menos 3 años de experiencia en:
• desarrollo de soluciones en lenguajes de programación como Python.
• desarrollo de ETL y automatización de pipelines
• visualización con Powerbi
• Nivel de inglés: intermedio-alto para trabajar en proyectos internacionales
• Habilidades y conocimientos:
• Gestión de bases de datos (SQL…)
• Dominio de lenguajes de programación (Python y SQL)
• Técnicas y buenas prácticas de ETL (Extract, Transform y Load)
• Técnicas data mining

• Valorable:
• Experiencia y/o conocimientos en arquitectura y servicios cloud de Microsoft Azure (Azure Data Lake, Azure SQL, Azure Functions, Data Factory, …)

¿Qué valor añadido te podemos aportar?

• Un gran ambiente de trabajo, tanto dentro como fuera de la oficina
• Oportunidades internacionales y red de contactos global
• Formación continua y plan de carrera a tu medida
• Salario competitivo y plan de remuneración flexible
• 31 días laborables de vacaciones
• La tarde de tu cumpleaños libre
• Flexibilidad y posibilidad de teletrabajo
• Acceso a Kteam, nuestra plataforma de bienestar, servicios, solidaridad y promociones
• Los beneficios pueden variar para programas de becas y/o prácticas

Nuestro compromiso en KPMG es promover ambientes de trabajo en los que se trate con respeto y dignidad a las personas, 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. Y es que cada persona tiene un valor único y especial que aportar a la firma.

Nuestros valores marcan la diferencia. Marca la diferencia, impulsa tu talento.

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Teletreball Javascript Java HTML windows Administración de sistemas Telecomunicaciones unix Seguridad de redes Windows Server Resolución de incidencias .Net C# Linux .Net Core

Vacante 1 (Systems Engineer de ground segment de comunicaciones, Madrid):

• Especificación de requisitos (DOORS), Diseño funcional, Verificacion y validacion
• Segmento terreno de comunicaciones (centros de misión SATCOM)
• +3 años de experiencia.
• Localización: Madrid.
• Modalidad: 60% presencial
• Nacionalidad europea desde hace mas de 10 años
• Nivel alto de inglés
• Titulación: Ingeniería técnica o superior de telecomunicaciones (preferentemente), informática o aeronáutica

Vacante 2 (Desarrollo de SW, Madrid):

• Especificación de requisitos (DOORS), Diseño funcional software, Pruebas software
• Experiencia en SW de ground segment
• Centros de control y misión
• +3 años de experiencia.
• Localización: Madrid
• Modalidad: teletrabajo del 60% remoto
• Nacionalidad europea desde hace mas de 10 años
• Nivel alto de inglés
• Titulación: Ingeniería técnica o superior de telecomunicaciones (preferentemente), informática o aeronáutica

Vacante 3 (Systems Engineer de ground segment de comunicaciones, Madrid):

• Especificación de requisitos (DOORS), Diseño funcional, Verificacion y validacion
• Segmento terreno de comunicaciones (centros de misión SATCOM)
• +3 años de experiencia.
• Localización: Madrid.
• Modalidad: 60% presencial
• Nacionalidad europea desde hace mas de 10 años
• Nivel alto de inglés
• Titulación: Ingeniería técnica o superior de telecomunicaciones (preferentemente), informática o aeronáutica

Vacante 4 (Desarrollo de SW, Madrid):

• Especificación de requisitos (DOORS), Diseño funcional software, Pruebas software
• Experiencia en SW de ground segment (C#, .NET Core 9 o Java)
• Centros de control y misión
• +3 años de experiencia.
• Localización: Madrid o Málaga
• Modalidad: teletrabajo del 60% remoto
• Nacionalidad europea desde hace mas de 10 años
• Nivel alto de inglés
• Titulación: Ingeniería técnica o superior de telecomunicaciones (preferentemente), informática o aeronáutica

Vacante 5 (Ingenieria de sistemas, Madrid):

• Especificación de requisitos (DOORS), Diseño funcional software, Pruebas software
• Experiencia en sistemas de vigilancia espacial (SST)
• Centros de control
• +2 años de experiencia.
• Localización: Madrid
• Modalidad: teletrabajo del 60% remoto
• Nacionalidad europea desde hace mas de 10 años
• Nivel alto de inglés
• Titulación: Ingeniería técnica o superior de telecomunicaciones (preferentemente), informática o aeronáutica

Vacante 6 (Ingenieria de cargas de pago y plataformas satélite, Madrid):

• Ingenieria aeroespacial, Física o telecomunicaciones
• +3 años de experiencia en diseño y desarrollo de cargas de pago y/o plataformas satelitales LEO.
• Localización: Madrid o Barcelona
• Modalidad: teletrabajo del 60% remoto
• Nacionalidad europea desde hace mas de 10 años
• Nivel alto de inglés
• Titulación: Ingeniería aeronáutica o telecomunicaciones

Vacante 7 (Diseño y desarrollo de sistemas de radiofrecuencia, Madrid):

• Diseño y desarrollo de sistemas de radiofrecuencia (antenas phase array, módulos de RF)
• Manejo de instrumentación electrónica
• +3 años de experiencia.
• Localización: Madrid
• Modalidad: teletrabajo del 40% remoto
• Nacionalidad europea desde hace mas de 10 años
• Nivel alto de inglés
• Titulación: Ingeniería de Telecomunicaciones

Vacante 8 (Diseño y desarrollo de sistemas de HW digital, Madrid):

• Diseño y desarrollo de sistemas de HW digital
• Manejo de instrumentación electrónica
• +3 años de experiencia.
• Localización: Madrid
• Modalidad: teletrabajo del 40% remoto
• Nacionalidad europea desde hace mas de 10 años
• Nivel alto de inglés
• Titulación: Ingeniería de Telecomunicaciones

Vacante 9 (Diseño y desarrollo de tests con instrumentación de medida, Madrid):

• Diseño y desarrollo de tests con instrumentacion electrónica con Labview
• Manejo de instrumentación electrónica
• +3 años de experiencia.
• Localización: Madrid
• Modalidad: teletrabajo del 40% remoto
• Nacionalidad europea desde hace mas de 10 años
• Nivel alto de inglés
• Titulación: Ingeniería de Telecomunicaciones

Vacante 10 (Ingenieria de sistemas, Madrid o Barcelona):

• Especificación de requisitos (DOORS), Diseño funcional software, Pruebas software
• Automatización de tests mediante Robot framework y Phyton
• Segmento terreno de Programas Galileo y EGNOS
• +2 años de experiencia.
• Localización: Madrid o Barcelona.
• Modalidad: 100% presencial
• Nacionalidad europea desde hace mas de 10 años
• Nivel alto de inglés
• Titulación: Ingeniería técnica o superior de telecomunicaciones (preferentemente), informática o aeronáutica

Vacante 11 (Systems Engineer de sistemas GNSS, Madrid/Barcelona):

• Especificación de requisitos (DOORS), Diseño funcional, Verificacion y validacion
• Segmento terreno de navegación (GNSS, PNT, Galileo, EGNOS)
• +3 años de experiencia.
• Localización: Madrid.
• Modalidad: 60% presencial
• Nacionalidad europea desde hace mas de 10 años
• Nivel alto de inglés
• Titulación: Ingeniería técnica o superior de telecomunicaciones (preferentemente), informática o aeronáutica

Vacante 12 (Desarrollo de SW embebido, Madrid/Barcelona):

• Especificación de requisitos (DOORS), Diseño funcional, Verificacion y validacion
• Segmento terreno de navegación (GNSS, PNT, Galileo, EGNOS)
• Experiencia con SW embebido en sistemas Linux
• +3 años de experiencia.
• Localización: Madrid.
• Modalidad: 60% presencial
• Nacionalidad europea desde hace mas de 10 años
• Nivel alto de inglés
• Titulación: Ingeniería técnica o superior de telecomunicaciones (preferentemente), informática o aeronáutica

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada28 de des.

. Python Docker Cloud Coumputing Kubernetes Machine Learning

About HappyRobot

HappyRobot is the AI-native operating system for the real economy—a system that closes the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, we help enterprises run complex, mission-critical operations with true autonomy.

Our AI OS compounds knowledge, optimizes at every level, and evolves over time. We’re starting with supply chain and industrial-scale operations, where resilience, speed, and continuous improvement matter most—freeing humans to focus on strategy, creativity, and other high-value tasks.

You can learn more about our vision in our Manifesto. HappyRobot has raised $62M to date, including our most recent $44M Series B in September 2025. Our investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10—partners who believe in our mission to redefine how enterprises operate. We’re channeling this investment into building a world-class team: people with relentless drive, sharp problem-solving skills, and the passion to push limits in a fast-paced, high-intensity environment. If this resonates, you belong at HappyRobot.

About The Role

You’ll be building AI models that make human-like conversations possible. You’ll work at the intersection of speech, language, and intelligence, taking cutting-edge research and transforming it into real-time, scalable systems that power our core products. You’ll have the unique opportunity to make a huge impact as one of our first ML hires, shaping not only the technology but also the direction of our company. From designing robust models to deploying them in production, you’ll own the entire lifecycle of ML systems and help us stay ahead of the curve in AI innovation.

About The Role

• Design, build, and maintain scalable ML systems — from data ingestion and preprocessing to training, testing, and deployment.
• Develop and optimize end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to ensure reliability and reproducibility.
• Implement robust MLOps practices, including model versioning, experiment tracking, CI/CD for ML, and continuous monitoring in production.
• Collaborate with product and engineering teams to integrate and deploy models into real-time products with a focus on efficiency and scalability.
• Ensure data quality, observability, and performance across all AI systems.
• Stay current with the latest in AI infrastructure, tooling, and research — helping us stay ahead of the curve.
  
  

Must Have

• Strong experience in machine learning, deep learning, and NLP.
• Solid background in MLOps and data pipelines — e.g., model deployment, monitoring, and scaling in production environments.
• Proficiency in Python and familiarity with Go.
• Experience with ML lifecycle management tools (e.g., MLflow, Kubeflow, Weights & Biases).
• Ability to design ML systems for robustness, scalability, and automation.
• Strong coding, debugging, and data engineering skills.
• Passion for AI infrastructure and its real-world impact.
• Founder mindset: ownership, independence, and willingness to go deep.
  
  

Nice to Have

• Experience in speech recognition, TTS, or audio processing.
• Familiarity with LLMs, generative AI, or real-time inference systems.
• Hands-on experience with data orchestration frameworks (e.g., Airflow, Prefect, Dagster).
• Prior experience in startup environments with fast iteration cycles.
• Knowledge of cloud infrastructure (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes).
  
  

Why join us?

• Opportunity to work at a high-growth AI startup, backed by top investors.
• Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.
• Ownership & Autonomy - Take full ownership of projects and ship fast.
• Top-Tier Compensation - Competitive salary + equity in a high-growth startup.
• Comprehensive Benefits - Healthcare, dental, vision coverage.
• Work With the Best - Join a world-class team of engineers and builders
  
  

Our Operating Principles

Extreme Ownership

We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us.

Craftsmanship

Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching.

We are “majos”

Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego.

Urgency with Focus

Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy.

Talent Density and Meritocracy

Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win.

First-Principles Thinking

Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.

The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.

By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.

In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.

If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through [email protected] subject to the GDPR.

For more information, visit https://www.happyrobot.ai/privacy-policy

By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada26 de des.

. Azure Cloud Coumputing AWS

¡Únete a nuestro equipo a través del programa de Referencias Internas!

Sobre Nosotros

Elegir Capgemini es elegir la posibilidad de dar forma a tu carrera profesional como desees. Con el mundo cada vez más inteligente y en constante transformación, los datos son una fuente esencial de comprensión y conocimiento. Pero no es suficiente tener los datos, estos deben ser fiables y debes saber cómo usarlos.

Nuestro expertise permite a las empresas aprovechar el poder transformador de los datos, la inteligencia artificial (IA) y la IA generativa (GenAI) para adaptarse a un mundo cambiante y mantener una ventaja competitiva sostenible.

Propósito Del Programa De Referencias

Nuestros empleados/as son quienes mejor conocen nuestra cultura y valores. Cada referencia que se incorpora ayuda a construir un equipo más fuerte y cohesionado con personas que comparten nuestros valores y visión.

¿Cómo Funciona?

Si te han propuesto al programa es porque piensan que eres una persona talentosa y apasionada. Para que nuestros equipos de reclutamiento puedan contarte algo más de la vacante o posiciones que podemos tener abiertas debes aceptar esta referencia y nuestra RGPD.

Una vez hecho, el equipo revisará tu candidatura y te mantendrá informado/a durante el proceso sobre qué ofertas específicas consideran para tí.

Algunas De Nuestras Posiciones Más Habituales Son

• Data Engineer (Scala/Spark)
• Data Engineer (Azure, Datafactory)
• Data Architect (AWS, Google Cloud Platform, Azure)
• Gen AI experts
• Data Analyst
• SAP Data (MDG, Group Reporting, Data Sphere)
• Data Governance
  
  

Buscamos personas con pasión por el entorno del dato en cualquiera de sus áreas, que se entusiasmen con el trabajo en equipo, compartiendo y creciendo profesionalmente en un entorno que se mueve vertiginosamente.

¡No lo dudes y completa el proceso para formar parte del equipo!

REESCRIBE TU FUTURO CON CAPGEMINI