Ofertas de empleo de Ingeniero/a de Pruebas en Barcelona

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada1 sept.

C#

Our client is a trailblazing provider of breakthrough electric powertrain systems for the automotive industry, offering a wide portfolio of innovative products. Their mission is to make electric vehicles not only powerful but also affordable, paving the way for a sustainable and electrifying future in the realm of mobility. The company is a dynamic and passionate team, committed to driving e-mobility to new heights.

Location: Zona Franca

About the Role

We are seeking a Junior Test Engineer to join their team in Barcelona. This is an excellent opportunity for a recent graduate or entry-level engineer who is motivated to grow in testing and validation. You will play a key role in developing and executing test sequences, diagnosing issues, and supporting global teams to ensure the performance and reliability of our motor controller systems.

Responsibilities

• Develop and update software and test sequences for production testing of motor controllers.
• Diagnose, analyze, and resolve hardware and software issues during production testing.
• Validate and verify the functionality and reliability of test stations.
• Prepare and maintain technical documentation, test reports, and procedures.
• Collaborate with R&D, manufacturing, and quality teams to ensure tester performance.
• Support global engineering teams with technical issues.
• Participate in problem-solving processes to identify root causes and implement solutions.

Requirements

• B.Sc. in Software Engineering, Electrical Engineering, Computer Science, or related field.
• Entry-level or recent graduate.
• Programming knowledge (preferably in C#; knowledge of C/C++ or similar languages is also acceptable).
• Strong problem-solving abilities and attention to detail.
• Excellent communication skills and ability to work in a global, multicultural team.
• Proactive, motivated, and eager to learn
• Proficient in English and Spanish

Advantages

• Familiarity with testing tools such as LabVIEW or TestStand, and remote control of lab equipment (PSUs, DMMs, etc.)
• Familiarity with troubleshooting methodologies
• Familiarity with microcontroller programming in C

What they offer

• Successful mobility manufacturing company
• Global presence
• A place where you can make an impact
• Flexible, innovative work culture
• Competitive salary and benefits package

Location: Barcelona | Onsite work setup

Full time role. No sponsorship at the moment.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada29 ago.

API Python TSQL Docker Cloud Coumputing Kubernetes TypeScript AWS LESS Machine Learning Office

Introduction to role

Are you ready to revolutionize the future of healthcare? At Evinova, part of the AstraZeneca Group, we´re on a mission to transform clinical trials with cutting-edge AI and Machine Learning. With the goal of increasing success rates by 20%, accelerating timelines by 36 months, and reducing costs by 50%, we are redefining the landscape of drug development. If you´re a skilled coder with a passion for innovation and a desire to lead, this is your chance to make a significant impact. Join us as we design advanced machine learning models that tackle complex healthcare challenges and drive digital transformation in the industry.

We are seeking a highly skilled and innovative Principal Machine Learning Engineer to design and implement advanced machine learning models that solve complex healthcare problems. In this role, you will translate analytical prototypes into robust, scalable production systems while leading the end-to-end ML lifecycle from data preparation to deployment and monitoring. You´ll develop and maintain critical data pipelines, deliver production-ready code following best practices, and collaborate with cross-functional teams to deliver data-driven solutions that align AI initiatives with business objectives.

This position offers the opportunity to mentor team members, drive digital transformation in healthcare, and work with cutting-edge technologies including traditional deep learning models and modern MLOps practices. You´ll be at the forefront of applying machine learning to revolutionize clinical development and drug discovery.

Accountabilities

- Design and implement advanced machine learning models to solve complex healthcare problems.

- Translate analytical prototypes into robust, scalable production systems.

- Lead end-to-end ML lifecycle from data preparation to deployment and monitoring.

- Develop and maintain data pipelines supporting model training and deployment.

- Deliver production-ready code as well as infrastructure as code, implementing best practices for code quality, testing, and documentation.

- Collaborate with cross-functional teams to deliver data-driven solutions.

- Mentor team members with a less technical background in software engineering.

- Collaborate in a multidisciplinary environment to align AI initiatives with business objectives and drive digital transformation.

- Stay current with advancements in data science, AI, and software engineering.

Essential Skills/Experience

- Degree in Computer Science, Mathematics, Physics or related quantitative field.

- 5+ years in data science roles focused on production-ready solutions.

- Strong Python programming with proficiency in data science libraries such as NumPy, pandas, scikit-learn, SciPy, Optuna and TensorFlow/PyTorch.

- Extensive experience developing and deploying Python APIs, particularly using FastAPI.

- Strong expertise in Python testing frameworks (pytest, unittest, mock).

- Experience with RESTful API design, documentation, dependency injection, error handling, and logging.

- Proficiency with AWS cloud services (CDK, EKS, S3, IAM, CloudWatch).

- CI/CD experience, particularly with GitHub Actions workflows.

- Advanced SQL skills and experience with graph databases.

- Docker containerization and Kubernetes orchestration experience.

- Experience working with AI tools and Large Language Models (LLMs) for practical applications.

- Creative problem-solving abilities and outside-the-box thinking.

- Excellent communication skills for technical and non-technical audiences.

- Proven collaborative team experience.

- Demonstrated innovation mindset and ability to work independently.

Desirable Skills/Experience

- AWS Machine Learning Engineer or AWS Solution Architect certification.

- TypeScript or a similar strongly-typed programming language experience.

- Data visualization expertise.

- Experience with real-time data processing and streaming.

- Performance testing experience with data-intensive applications.

- Front-end development familiarity.

- Knowledge of healthcare AI/ML regulatory requirements.

- Knowledge of drug development and previous experience working in the pharmaceutical industry is nice to have but not required.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That´s why we work, on average, a minimum of three days per week from the office. But that doesn´t mean we´re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we embrace change and invest in technology to redefine healthcare. Our dynamic environment supports innovation through collaboration and creativity. With access to cutting-edge tools and a global network of experts, we drive meaningful change in predicting, preventing, and treating patient conditions. Our commitment to lifelong learning empowers us to make an impact worldwide.

Ready to be part of this transformative journey? Apply now and help shape the future of healthcare!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada28 ago.

Azure Cloud Coumputing Ansible Terraform

Descripción
Buscamos un Cloud Engineer - Azure Subject Matter Expert para unirse a nuestro equipo y dar soporte de nivel 2 en un servicio de monitorización en Azure.


Responsabilidades:
Realizar monitorización técnica de alertas e incidentes en entornos Azure.Investigar alertas para optimizar el rendimiento de la infraestructura.Supervisar al equipo de operaciones.Mantener comunicación directa con el cliente sobre progreso, incidencias y mejoras.Colaborar estrechamente con ingenieros Cloud L2 del lado cliente en seguimiento de incidencias y mejoras continuas.Ser referencia experta en la resolución de incidentes complejos.Formar y apoyar a Cloud Operators, detectando necesidades técnicas y supervisando su capacitación.Ser referente técnico para el Project Manager.

Requisitos
Experiencia mínima de 3–5 años en entornos Cloud.
Mínimo 1 año de experiencia con Azure.
Mínimo 1 año de experiencia en administración de Linux/Unix.
Conocimientos básicos en Nagios y Veeam.
Inglés nivel B2

Conocimientos valorables:
Ansible
Terraform

Ofrecemos:
Contrato: Indefinido
Vacaciones: 30 días naturales
Ubicación: Barcelona (Formato híbrido)

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada26 ago.

Python TSQL Azure Cloud Coumputing Spark Power BI Office

We Are Waiting for You

Hi there!

Are you ready to shape the future of investment data at Zurich Invest? We’re looking for a driven and collaborative data engineer to join our Investment Data & Analytics team. In this pivotal role, you’ll play a key part in developing and enhancing our Databricks-based data warehousing solution — the foundation that delivers vital insights and reporting to both internal and external clients, with a strong focus on our institutional and real estate business.

Your expertise will help us unlock the full potential of our data landscape, powering smarter decision-making and supporting innovative analytics across the organization. If you have a passion for data engineering and enjoy working at the intersection of technology and investment, we’d love to meet you.

First off, THANK YOU for considering our company. We understand that finding the right opportunity can be tough, but we’ll try to make it easier.

Who Are We?

Let me introduce us. You’re reading about Zurich Insurance Group, a global leader in insurance, but this role specifically pertains to ServiZurich. Established in Barcelona in 2006, ServiZurich operates as an integral part of Zurich Insurance Group, providing cutting-edge technological solutions and support to Zurich's local and global business units. Within Servizurich, you’ll be working for Zurich Invest AG (ZIAG), which is a wholly owned subsidiary of Zurich, specializing in delivering investment solutions across a broad range of asset classes to both institutional and private clients with a focus on the Swiss market.

What Can You Expect?

And you might be thinking: This is great, what will my day-to-day be like, at Zurich? I’m glad you asked – I asked myself the same question at the time.

As a Junior Data Engineer you will have the opportunity to:

• Design and build robust, scalable data architectures.
• Create and maintain automated ETL/ELT pipelines to ensure seamless data integration from diverse internal and external sources.
• Monitor system performance, proactively identifying and resolving bottlenecks to drive system performance and optimize costs.
• Collaborate closely with data scientists and analysts across ZIAG to enable advanced analytics, reporting, and AI/ML initiatives.
• Implement and uphold strong data access controls, validation tools, and auditing capabilities to ensure data quality and compliance.
  
  

• Bachelor's degree in computer science, information systems, data science, or a related field
• First practical experience as a data engineer or similar role - preferably at a financial service, asset management, or real estate company
• First practical experience working with Databricks or a similar data intelligence platform
• Hands-on skills in Python and SQL; experience with Spark is a plus
• Experience working with investment, financial market and/or real estate data is highly valued
• Experience with Azure cloud environments and knowledge of the MS Power Platform (Power BI, Power Automate, Power Apps) is an advantage
• Excellent command of English; German language skills are a plus
  
  

• Detail-oriented with strong analytical skills
• Strong problem-solving skills
• Ability to work both independently and as part of a team
• Strong organizational and time management skills
  
  

• To support your work-life balance, we have adopted a flexible working model.
• Over 300 euros to set up your home office and additional monthly home office allowance.
• Wide range of internal and external trainings, including English and Spanish classes depending on the needs.
• Ticket restaurant and Health Insurance with the flexibility to exchange it for other benefits.
• Life and accident insurance.
• Collective Life retirement Plan
• 2000 referral bonus if you bring other talented people like you to the company.
• Special banking and insurance conditions plus Exclusive Employees discounts
• Functional diversity benefits
• Different social clubs such as hiking, investment, beach volley and many more
  
  

• Location(s): ES - Barcelona
• Schedule: Full Time
• Recruiter name: Alvaro Gallego Zazo
  
  

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada26 ago.

Python Linux Docker Cloud Coumputing Kubernetes AWS DevOps Machine Learning Office

Smadex is a leading advertising technology company founded in Barcelona in 2011 and sold to American-based and stock-listed Entravision in 2018 (NYSE::EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with our revenues over +$100M and consistently growing +40% YoY over the past years.

Our mission is to continue to improve our ad-tech platform to help our clients achieve their programmatic advertising campaign goals, and we want to give our employees a job they’ll love, where they will be challenged to improve results through real-life engineering and data analysis and where everyone’s implication has an impact.

Are you ready to be part of the new unicorn? Keep reading!

We are seeking a highly skilled and motivated ML Engineer to integrate our MLOps team. The ideal candidate will have a strong background in Python coding and some knowledge of MLOps industry practices. The role also requires involvement in automation tasks for the ML team.  

What will you do:

• Design, implement, and maintain end-to-end pipelines for ML model deployment, monitoring, and lifecycle management.
• Develop automated workflows for CI/CD in ML systems to ensure rapid and reliable deployments.
• Implement robust monitoring and alerting systems for production ML models to ensure performance and reliability.
• Develop and improve Python scripts responsible for algorithmic decision making, generating alarms, dashboards, reports.
• Troubleshoot issues in real-time and ensure high availability of deployed systems.
• Collaborate with the machine learning team (ML) to manage model retraining and updating processes.
• Write, review and maintain high-quality Python code for MLOps tooling and automation.

What you need to have:

• Master’s degree in Computer Science
• Proficiency in Python and familiarity with data related processing libraries (e.g., Pandas, NumPy).
• Good understanding of CI/CD pipelines and DevOps practices
• Strong Interest in machine learning topics
• Experience in Linux environments
• Fluency in English is mandatory
• Possesses good communication skills both verbal and written
• Strong problem-solving and analytical skills.

Extra points for :-)

• Familiarity with AWS services such as EMR, EC2, Athena, S3
• Hands-on experience with ML workflow orchestration tools (e.g., Airflow, MLflow).
• Experience with cloud platforms (preferable AWS) and containerization technologies (Docker, Kubernetes).

Reward package:

• Integrate a highly motivated and young team
• Great compensation package
• Top location at the heart of Barcelona in a penthouse office with rooftop terrace, Barbeque and fully stocked fridge
• Good work-life balance: 2 days working from home, flexible hours
• LinkedIn learning and training opportunities
• Meal vouchers - Tickets Restaurant monthly allowance 
• Monthly gym allowance to use in up to the 30 DIR gyms around the city
• Monthly TGIF events
• Regular team-building events
• Fun and friendly work environment with talented marketers and engineers from over 40 countries!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada25 ago.

Teletrabajo Linux Cloud Coumputing Kubernetes Ansible AWS DevOps Redis Terraform

Descripción
Estamos buscando un/a Systems Administrator con experiencia en DevOps y Kubernetes, para trabajar en proyectos del sector Banca. La persona seleccionada se encargará de:

Gestión de incidencias, vulnerabilidades, problemas y cambios bajo ITIL4, asegurando tiempos de respuesta y resolución óptimos.
Soporte técnico especializado para infraestructuras Cloud, con foco en AWS y Kubernetes.
Administración y optimización de servicios en contenedores (Kubernetes, EKS).Automatización de tareas operativas usando Terraform, Ansible y Packer.
Monitoreo y alertamiento con herramientas como Prometheus (Alertmanager), Grafana, CloudWatch y ELK.
Soporte y optimización de bases de datos relacionales (PostgreSQL/MySQL) y AWS RDS.Optimización de sistemas de cache como Redis (ElastiCache).
Gestión de requerimientos de seguridad y cumplimiento con herramientas como AWS Security Hub y AWS Config.
Documentación técnica en Confluence y gestión de proyectos/incidencias en Jira/Jira Operations.
Administración avanzada de servidores Linux y entornos híbridos, incluyendo depuración de procesos y conexiones de red, y gestión avanzada de systemd.
Participación en guardias 1 vez al mes.

Requisitos:
Experiencia mínima de 3 a 5 años en administración de sistemas y DevOps.Dominio de Kubernetes y AWS (EC2, IAM, S3, RDS, Route53, Lambda, CloudWatch, VPC, NAT, SG, ALB/NLB).Inglés nivel B2.Titulación: Ingeniería o similar.

Lo que ofrecemos:
Contrato indefinido.30 días naturales de vacaciones.Modalidad 100% remoto.Desarrollo profesional en proyectos de Cloud y DevOps avanzados.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada22 ago.

Python Angular Cloud Coumputing AWS Terraform

Funciones

- Diseñar y arquitectar infraestructuras AWS seguras y escalables.
- Implementar Infraestructura como Código (Terraform) y automatizar despliegues con GitLab-CI.
- Desarrollar y mantener código Python de alta calidad para soluciones cloud.
- Gestionar servicios AWS como Lambda, Fargate, S3, IAM, entre otros.
- Implementar y mantener arquitecturas serverless y containerizadas.
- Configurar y administrar soluciones SIEM (Splunk) y herramientas de seguridad AWS.
- Aplicar prácticas DevSecOps y seguridad en todo el ciclo de desarrollo.
- Configurar monitoreo, logging y alertas con CloudWatch, Prometheus, Grafana y PagerDuty.

Modalidad híbrida: 3-4 días en remoto + 1-2 días presenciales en nuestras oficinas (junto al metro Bogatell, Barcelona)

Requisitos

- Experiencia en ingeniería y arquitectura de soluciones de infraestructura AWS.
- Experiencia con: AWS Landing Zone, servicios de redes y seguridad de AWS, y estrategia multi-cuenta en AWS.
- Conocimiento de principios y diseño de Infraestructura como Código con Terraform.
- Experiencia con GitLab y GitLab-CI.
- Experiencia comprobada escribiendo código en Python.
- Profundo entendimiento de la infraestructura y servicios de AWS (Fargate, Lambda, S3, WAF, KMS, Transit Gateway, IAM, AWS Config)
- Experiencia con soluciones SIEM, idealmente Splunk.
- Experiencia con los siguientes conceptos: enfoque Shift-left y DevSecOps, SBOM, SAST, servicios de seguridad y cumplimiento de AWS (AWS Config, Inspector, Network Firewall, etc.).
- Experiencia en mejores prácticas de registro, monitoreo y alertas basadas en AWS Cloud y herramientas estándar (Splunk, CloudWatch Logs, Prometheus, Grafana, Alert Manager y PagerDuty)
- Inglés

(Se valorará positivamente certificado de discapacidad del 33%)

Se ofrece

AUBAY seleccionamos un/a Fullstack Engineer (Node, Angular, AWS) con inglés en Barcelona.

Ofrecemos la posibilidad de formar parte de una Compañía en continuo crecimiento, participando en innovadores proyectos que te permitirán completar tu formación y potenciar tus capacidades. Valoramos el compromiso y la dedicación en el trabajo realizado.

En Aubay somos una multinacional de servicios digitales (DSC) fundada en 1998. Actualmente, con un fuerte crecimiento. Operamos en mercados con un alto valor agregado, tanto en Francia como en otras partes de Europa. En Aubay actualmente tenemos 5 000 personas trabajando.

Desde el asesoramiento hasta todo tipo de proyectos tecnológicos, acompañamos la transformación y modernización de los sistemas de información en todos los sectores, incluidos la industria, I + D, telecomunicaciones e infraestructura, y especialmente los principales bancos y compañías de seguros, que representan más del 80% de nuestra facturación francesa. y el 65% de nuestra facturación europea.

Únete a nosotros, te esperamos!
#LI-AL1

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada22 ago.

Teletrabajo Python TSQL Azure Cloud Coumputing SaaS DevOps Spark Big Data SQL

Descripción
Buscamos un Data Engineer con amplia experiencia en Python y Microsoft Azure. El candidato seleccionado participará en la construcción y optimización de pipelines de datos, garantizando la eficiencia, calidad y gobernanza de los datos en entornos cloud.


Funciones:
Diseñar, desarrollar y mantener pipelines de datos utilizando Azure Synapse y tecnologías similares.Programar en Python (Polars, Pandas, PySpark) y T-SQL para procesamiento y manipulación de datos.Administrar bases de datos SQL y trabajar con Big Data (Apache Spark).Implementar modelos de datos, especialmente Data Vault 2.0, y asegurar la correcta arquitectura de almacenamiento de datos.Participar en la planificación y dimensionamiento de servicios en la nube, garantizando la gestión proactiva de los componentes.Colaborar en prácticas de DevOps para integración y despliegues automáticos.Apoyar la gobernanza de datos y la calidad de la información, utilizando frameworks como Informatica (deseable).

Requisitos:
Inglés avanzado mínimo B2-C1.Experiencia mínima de 5 a 7 años en ingeniería de datos.Al menos 2 años de experiencia con Python orientado a datos (Polars, Pandas, PySpark).Al menos 2 años de experiencia en Microsoft Azure.Experiencia construyendo pipelines de datos con Azure Synapse u otras tecnologías similares.Dominio en programación con T-SQL y Python.Conocimientos de Big Data y comprensión de modelos de datos, especialmente Data Vault 2.0.Familiaridad con procesos de DevOps y software como servicio (SaaS).Experiencia con frameworks de gobierno de datos es un plus.

Qué ofrecemos:
100% teletrabajo Trabajar en proyectos de alto impacto en el sector seguros con tecnologías de vanguardia.Buen ambiente de trabajo y formación continua.Flexibilidad horaria y colaboración internacional.Contrato indefinido30 días de vacaciones

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada21 ago.

Teletrabajo Python Jenkins Cloud Coumputing Kubernetes Groovy AWS

Buscamos un Site Reliability Engineer (SRE) proactivo y cualificado para incorporarse a un equipo especializado en el sector seguros. Si te apasiona garantizar la estabilidad y fiabilidad de los sistemas, resolver incidencias y trabajar con tecnologías punteras, esta es tu oportunidad.

¿Qué harás?
Responder y resolver incidencias reportadas a través de ServiceNow, asegurando una gestión ágil y eficaz.
Colaborar con equipos multidisciplinares para identificar causas raíz y aplicar soluciones definitivas.
Monitorizar el rendimiento de sistemas usando Dynatrace, anticipándote a posibles problemas.
Crear y mantener dashboards y alertas para asegurar la máxima disponibilidad y rendimiento.
Realizar acciones básicas de mantenimiento y gestión en infraestructuras Kubernetes.
Apoyar el despliegue, configuración y administración de aplicaciones en entornos contenerizados.
Participar activamente en la mejora continua de procesos y herramientas.

Requisitos imprescindibles
Mínimo 3 años de experiencia en roles similares enfocados en ingeniería de confiabilidad del sitio (SRE) o en operaciones IT.
Dominio en resolución y seguimiento de incidencias con ServiceNow.
Experiencia práctica con herramientas de monitorización como Dynatrace (o similares).
Conocimientos básicos y experiencia en Kubernetes y orquestación de contenedores.
Inglés fluido, tanto hablado como escrito.
Capacidad analítica y orientada a la resolución de problemas.
Habilidades comunicativas y de trabajo en equipo.
Autonomía y responsabilidad en la gestión diaria.

Valorable (no imprescindible)
Experiencia en scripting para automatización (Python, Groovy u otros).
Conocimientos en plataformas cloud, especialmente AWS.
Familiaridad con herramientas CI/CD como Jenkins o GitHub Actions.

¿Qué ofrecemos?
Integrarte en un equipo de alto rendimiento en un entorno innovador.
Flexibilidad horaria para conciliación y mejor calidad de vida.
Proyectos retadores en un sector sólido y en crecimiento como el asegurador.
Formación continua y posibilidad de desarrollo profesional.
Condiciones económicas competitivas.

Fomentamos un ambiente de trabajo multicultural e inclusivo, no discriminamos por edad, género o creencias; así como ofrecemos igualdad de oportunidades a todo el personal.
Desarrollamos nuestras actividades bajo los principios del cuidado del medioambiente, la sostenibilidad y la responsabilidad social corporativa; colaborando en proyectos de reforestación y sostenibilidad.
Apoyamos los 10 principios del Pacto Mundial y los 17 Objetivos de Desarrollo Sostenible, en materia de derechos humanos, condiciones laborales, medio ambiente y anticorrupción.
Los procesos de reclutamiento se desarrollan bajo altos estándares de calidad definiendo la incorporación en base a la experiencia y habilidades del candidato.
Somos una empresa española líder en servicios tecnológicos y atracción del talento presente en el mercado desde 1995. Contamos con más de 600 empleados en proyectos tanto nacionales como internacionales en sector TI.