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Overview In this role you shape the digital, data and information technology landscape for healthcare manufacturing and supply chain. You’ll design scalable, secure, AI-ready cloud architectures and translate business needs into reliable data, analytics, automation and ML solutions. As a trusted partner, you’ll guide global teams, drive platform architecture, and promote responsible AI adoption. You’ll deliver reusable patterns, advise on security and observability, and mentor colleagues to build high-quality, scalable systems. Compensaciones / Beneficios • inclusion and belonging, • personal and career development, • global opportunities, • flexible working culture Responsabilidades, • Design scalable, secure, and AI-ready cloud architectures for data and analytics solutions, • Act as architectural partner for business and technology stakeholders across a global matrix, • Create reusable blueprints and engineering patterns and guide cross-team delivery, • Oversee platform architecture, automation, and observability to support production solutions, • Promote responsible adoption of cloud and AI capabilities and ensure security and guardrails, • Translate complex requirements into pragmatic designs, guidance, and standards, • Evaluate AWS services, build proofs of concept, define model integration and operationalization patterns, • Provide third-level support for manufacturing and supply chain applications, • Mentor colleagues and foster knowledge sharing to improve scalability, resilience and cost efficiency Requisitos principales, • Five to eight years of hands-on AWS cloud architecture and engineering experience, • At least three years of data warehousing, data lake, and cloud-native analytics experience, • Experience with AWS AI/ML services (SageMaker, Bedrock, Lambda, API Gateway, Glue, Step Functions, Athena, Redshift, EMR) or comparable platforms, • AI-ready architectures with secure data access, model integration, prompt/API orchestration, retrieval augmented generation, observability and responsible AI guardrails, • APIs, deployment, integration patterns, CI/CD using Azure DevOps and Git, and infrastructure as code (CloudFormation), • Three+ years with Docker and Kubernetes on AWS, plus services like S3, Redshift, RDS, Glue, Step Functions, Lambda, EMR, • Strong Python, SQL and PySpark for building scalable data pipelines and production-grade solutions, • Excellent communication and stakeholder engagement, agile delivery, mentoring, cross-team collaboration, English fluency, • AWS certifications are highly desirable, • communication, • stakeholder engagement, • mentoring, • Amazon SageMaker, • Amazon Bedrock, • AWS Lambda

Overview As a Business Architect at Roche, you define and safeguard the architectural vision that aligns with business goals and Roche’s Reference Architecture. You lead platform-driven initiatives, promote reusable building blocks, and drive interoperability for patient-facing products. You collaborate across engineering, product, and commercial teams to ensure scalable, secure solutions within Roche’s ecosystem. This role offers the chance to influence digital medical products at scale and advance the common platform strategy for reliable healthcare delivery. Responsabilidades • Define and maintain Architecture roadmap and Reference Architecture aligned with Roche Ecosystem strategy, • Lead technology strategies and blueprints, guiding application integration using reusable components, • Drive platform-first approaches, address data interoperability and event-driven frameworks, • Collaborate with Engineers, Product Managers, and Sales/Medical teams to ensure consistent tech implementation, • Analyze non-functional requirements (security, performance, scalability) and establish governance to reduce duplication and improve robustness Requisitos principales, • Bachelor’s or Master’s degree in Computer Science or Engineering, • 10+ years of experience in business/reference architecture and shared platform strategies, • Deep knowledge of platform strategies, architectural governance, APIs, and shared services models, • Experience with cloud platforms (AWS, Azure, or GCP) and frameworks like TOGAF or SAFe, • Familiarity with healthcare standards such as FHIR and HL7, plus compliance-based design, • Advanced consulting and communication skills, • Cross-functional collaboration in global environments, • Ability to translate business goals into technical roadmaps, • APIs and shared services models, • Cloud platforms AWS, Azure, or GCP, • TOGAF or SAFe

Overview En Magna, trabajas en la transformación digital de la división de espejos y iluminación, impulsando soluciones IIoT en fabricación y logística. Lideras la definición de la estrategia Industry 4.0, gestionas iniciativas digitales y aseguras soluciones escalables y seguras. Colaboras con Operaciones, IT/OT y proveedores para mejorar seguridad, calidad y productividad. Es una oportunidad de impacto en un entorno global, con foco en innovación y estándares industriales. Responsabilidades • Definir y ejecutar la estrategia y roadmap de Industry 4.0 e IIoT, • Gestionar el portfolio de iniciativas digitales (pilotos, escalado y sostenimiento), • Diseñar y gobernar la arquitectura IIoT (OT, edge, datos, cloud e integración), • Integrar sistemas industriales y de negocio (PLCs, SCADA, MES, ERP, WMS/TMS), • Impulsar Smart Factory & Smart Logistics, • Optimizar KPIs operativos, • Desarrollar soluciones de datos y analítica (dashboards, reporting, KPIs), • Implementar gemelos digitales y mantenimiento predictivo, • Asegurar ciberseguridad OT y cumplimiento normativo, • Liderar proveedores, proyectos y gestión del cambio, • Estandarizar modelos para despliegues multi-site, • Desplegar conectividad industrial segura (MQTT, OPC UA, Modbus/TCP, Profinet, EtherNet/IP, IO-Link, RFID, BLE, UWB, códigos de barras), • Asegurar alineación con estándares ISA-95, ISA-88, RAMI 4.0, IEC 62443 y normativa vigente Requisitos principales, • Ingeniería (Industrial, Informática, Automatización, Mecatrónica o similar), • +10 años de experiencia en fabricación, logística y digitalización industrial, • Experiencia liderando proyectos de Industry 4.0 multi-site, • Conocimiento en integración de sistemas (PLC/SCADA, MES, ERP, IoT, cloud), • Experiencia en soluciones IIoT (MQTT, OPC UA, edge, streaming), • Experiencia en automatización logística (RTLS, RFID/BLE/UWB, AGV/AMR), • Orientación a resultados y mejora de KPIs, • Habilidades de liderazgo, gestión de stakeholders y trabajo en entornos internacionales, • Español e inglés fluidos, • liderazgo, • gestión de stakeholders, • orientación a resultados, • IIoT, • MQTT, • OPC UA

Overview In this role you will drive continuous improvement of machinery assembly performance within Volpak’s Operations team, applying Lean Six Sigma methods to raise efficiency and reliability. You will collaborate with Engineering, Operations and Quality to translate technical solutions into standardized assembly practices. You will lead projects to enhance features, design tooling, and transform knowledge into Standard Work. This is a hands-on position that combines data-driven improvements with cross-functional teamwork to deliver measurable results in a global manufacturing setting. Responsabilidades • Drive continuous improvement of machine assembly features for performance, durability and reliability within cost, timing, quality, and KPI constraints, • Design dedicated assembly tooling to boost efficiency, quality, ergonomics and repeatability, • Lead kick-off and close-out meetings for assembly projects and analyze end-to-end process data to identify improvements, • Translate engineering information to stakeholders to ensure clarity and alignment in assembly activities, • Convert production know-how into Standard Work including procedures and best practices, • Ensure proper configuration of devices, machines, and groups to minimize obsolescence, • Handle department administrative tasks (quotations, purchase requests) Requisitos principales, • Engineering degree (Mechanical, Industrial, Electrical, or equivalent), • 5–6+ years of experience in a similar role, • Proven experience applying Lean principles in manufacturing (e.g., production BOM, lean cell design, standard work, 5S), • Knowledge of 3D CAD (SolidWorks and Composer), • Strong data analysis skills to define improvement strategies, • MS Office proficiency (Word, Excel), • Knowledge of SAP, • Good command of English and Spanish, • Willingness to travel worldwide, • Ability to manage multiple complex processes with accuracy and attention to detail, • Team-oriented, results-driven, deadline-focused, • Innovative and customer-focused, • Team-oriented, • Results-driven, • Innovative and proactive, • Lean manufacturing, • Six Sigma, • 5S

Overview In this role, you will architect and operate a cloud-native platform that powers intelligent, autonomous AI applications across a global enterprise. You’ll own the platform strategy, design multi-tenant Kubernetes environments, and drive end-to-end delivery with a focus on security, reliability, and scalable operations. You’ll mentor engineers and collaborate with cross-functional teams to turn complex AI and MLOps needs into reusable platform patterns. This is a mission-driven opportunity to shape how agentic AI drives impact in healthcare and life sciences. Compensaciones / Beneficios • high-autonomy engineering culture, • flexible working models, • global, diverse environment, • opportunity to impact life-changing R&D, • culture of inclusion and belonging, • career development across a global company Responsabilidades, • Own the platform architecture, technical roadmap and ADRs within the broader agentic AI strategy, • Design, build and operate the multi-tenant Kubernetes platform using Amazon EKS, Terraform, Helm, Kustomize, Argo CD and Argo Workflows, • Build repeatable onboarding, promotion, recovery and decommissioning capabilities through Azure DevOps and GitOps, • Implement identity and tenant isolation across OIDC, Kubernetes RBAC and impersonation, AWS workload identity and secrets management, • Design secure integrations with models, tools, MCP/A2A services and other enterprise platforms, • Own operational readiness, including SLOs, telemetry, agent and LLM tracing, evaluation, capacity, cost, incident response, upgrades, backup/restore and rollback, • Develop and review production Python, Terraform modules, Helm charts and pipeline templates, • Establish technical standards, documentation and reusable platform patterns, and mentor other engineers Requisitos principales, • University degree in Computer Science, Engineering, or equivalent, • 8+ years of relevant experience building secure, scalable, resilient cloud-native backend systems at enterprise scale, • Experience in architecting complex cloud-native solutions and in guiding teams in their implementation, • Hands-on experience designing and operating production Kubernetes platforms, preferably Amazon EKS, • Strong AWS platform engineering experience across EKS, ECR, IAM/workload identity, VPC/private connectivity, ALB/WAF, Route 53, Secrets Manager, CloudWatch and S3, • Strong Infrastructure as Code and GitOps experience using Terraform, Helm, Kustomize, Argo CD and Git, • Experience building and governing CI/CD pipelines, preferably with Azure DevOps, • Strong production Python experience, including boto3, API integration, automated testing and operational automation, • Experience with OIDC/OAuth2/JWT, least-privilege access, tenant isolation, Kubernetes RBAC and secure secrets management, • Practical experience building or operating GenAI or agentic systems, including tool integration, state and memory, evaluation, observability and failure handling, • Understanding of MCP and A2A, particularly authentication, authorization, service boundaries and enterprise governance, • Business-fluent English (written and spoken), • Strong sense of ownership and accountability, • Curious and eager to learn; comfortable with evolving tech, • Collaborative, cross-functional teamwork in international settings, • Kubernetes platform design and operation (EKS), • AWS services: EKS, ECR, IAM, VPC, Route 53, Secrets Manager, CloudWatch, S3, • Terraform, Helm, Kustomize, Argo CD, Argo Workflows

Overview In this role you enable product teams to adopt and leverage the Enterprise Data Platform, guiding onboarding and solution design. You will contribute to the Onboarding Hub, delivering automation, AI-powered experiences, and self-service capabilities. You collaborate with cross-functional teams to ensure secure, scalable platform usage and smooth feature adoption. Your work shapes data-driven delivery across the organization and accelerates value from platform services. Compensaciones / Beneficios • Flexible working conditions, • Life and accident insurance, • Health insurance at a competitive price, • Investment in your learning and development, • Gym membership discounts Responsabilidades, • Act as a technical contact to onboard new product delivery teams to the Enterprise Data Platform and drive platform adoption., • Collaborate with product teams, solution architects, and engineering to design and implement solutions using platform capabilities (cloud services, data platforms, analytics, AI services, CI/CD, developer tooling)., • Contribute to architecture reviews and advise on standards, security, and engineering best practices., • Provide technical support and consultancy, coordinate escalations, and work with platform engineering to resolve issues., • Develop and improve the Onboarding Hub and platform products, delivering new functionality and AI-powered experiences., • Design and implement integrations with Jira, ServiceNow, Confluence, cloud platforms, identity management, and internal data platform services., • Support software releases and deployments across environments to ensure reliability and feature adoption., • Identify opportunities to improve user experience and platform adoption through automation, AI-assisted solutions, and onboarding enhancements., • Collaborate with platform engineering and development teams to share feedback and drive platform enhancements., • Create technical documentation, onboarding materials, and lead enablement sessions for the user community. Requisitos principales, • Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related field, • 4-5 years of experience in Software Engineering, Platform Engineering, Technical Consulting, Developer Enablement, or a similar role, • Hands-on experience with Python and modern software engineering practices, • Strong knowledge of REST APIs, microservices, and system integrations, • Experience with AWS and/or Azure, • Experience with SQL and modern data platforms in analytics or data engineering, • Familiarity with CI/CD, Git, automated deployments, and DevOps, • Experience integrating Jira, Confluence, ServiceNow, identity management platforms, or similar tools, • Exposure to AI-enabled apps, workflow automation, self-service platforms, or developer productivity solutions, • Experience working in Agile environments and with cross-functional teams, • Strong communication skills with technical and non-technical stakeholders, • Professional proficiency in English, • strong communication, • stakeholder engagement, • collaboration, • Python, • REST APIs, • microservices

Overview In this role you will lead the design and governance of Customer Master Data Management solutions for a global data ecosystem. You will align CMDM architecture with enterprise standards and business objectives, spanning Veeva Network, data integrations, and downstream consumers. You will partner with product owners and stakeholders to translate requirements into scalable, compliant solutions while guiding the full delivery lifecycle. This role offers the chance to shape CMDM strategy and drive data governance, quality, and integration at scale. You will operate at the intersection of business needs and technical execution to enable global growth. Compensaciones / Beneficios • Flexible working conditions, • Life and accident insurance, • Health insurance at a competitive price, • Investment in your learning and development, • Gym membership discounts Responsabilidades, • Lead the architecture and design of CMDM solutions aligned with enterprise standards and business objectives, • Define and govern architectures, integration patterns, APIs, data flows, and technology designs across Veeva Network and related platforms, • Collaborate with Product Owners, Business Analysts, Capability Leads, and stakeholders to translate requirements into scalable solutions, • Provide architecture leadership across the full delivery lifecycle (planning, development, testing, deployment, operations), • Lead architecture reviews, maintain documentation, and ensure security, compliance, data privacy, and quality, • Drive consistency across CMDM platforms, integrations, and downstream apps, • Identify technology risks and mitigation strategies for the long-term CMDM landscape, • Collaborate with global and regional stakeholders on customer data, governance, and integration initiatives Requisitos principales, • Several years in Solution Architecture, Enterprise Architecture, Data Architecture, or similar leadership roles, • Experience with CMDM, customer data platforms, enterprise integrations, and large-scale applications, • Track record designing and implementing enterprise solutions in global, cross-functional environments, • Solid understanding of architecture principles, integration patterns, APIs, cloud tech, and data platforms, • Knowledge of data governance, data quality, and enterprise integration best practices, • Ability to create architecture docs, assessments, and roadmaps, • Experience designing scalable and maintainable technology solutions, • Excellent stakeholder management and communication skills, • English proficiency; willingness to travel, • strong communication, • stakeholder management, • influencing capabilities, • solution architecture, • enterprise architecture, • data architecture

In this role you contribute to robotics software and hardware validation, focusing on automation and CI/CD for VSLAM-based products.You join a cross-functional R&D team that supports continuous testing across development and release cycles, helping to scale reliable validation in autonomous mobile r

Overview In this role you contribute to robotics software and hardware validation, focusing on automation and CI/CD for VSLAM-based products. You join a cross-functional R&D team that supports continuous testing across development and release cycles, helping to scale reliable validation in autonomous mobile robotics. You will implement automated test pipelines and foster faster feedback loops, working with SLAM experts to strengthen engineering foundations. This is a hands-on opportunity in a fast-moving, innovation-driven environment to shape robust, scalable robotics software. Compensaciones / Beneficios • Lunch allowance, • Private health insurance, • Home office flexibility, • Career development, • Learning & training, • Wellbeing program Responsabilidades, • Develop, maintain and scale automated test pipelines across virtual and HIL environments, • Ensure automated regression tests run reliably in nightly and release validation, • Implement CI/CD integrations, infrastructure improvements, and job orchestration to raise throughput, • Support Robotic Systems team by expanding coverage and improving developer feedback loops Requisitos principales, • 3+ years of experience in test automation, DevOps, or software test engineering, • Python or related language for test tooling and harness development, • Experience with hardware-in-the-loop testing is a plus, • Advanced skills with CI/CD systems and pipelines (GitLab CI or similar) including runner infrastructure (cloud, bare-metal, HIL), • Familiarity with Linux and Debian-based distributions, • Degree in Computer Science, Robotics or a related field, • Proficiency in English, • collaborative mindset, • strong problem-solving, • clear communication, • Python, • test harness development, • automation tooling

Overview As a Senior Cloud Backend Engineer in Data & AI Solutions, you will shape cloud-native platforms for Healthcare R&D, primarily using AWS and Azure AD. You will support the technical roadmap, maintain platform functions, and build data archival processes while adopting emerging technologies. You’ll implement new features and manage deployments in collaboration with cross-functional teams across the US, Europe, and India. This role offers meaningful work shaping data-driven drug discovery and development at scale. Responsabilidades • Implement new features and build deployments, • Maintain platform functionalities and data archive processes, • Support and execute the technical roadmap for the platform, • Collaborate with cross-functional teams across multinational sites, • Adapt to emerging technologies and drive scalable cloud-native solutions Requisitos principales, • University degree in Computer Science, Engineering, or related field, • Around 10 years of relevant experience, • Proven track record building secure, scalable cloud-native systems on AWS at enterprise level, • Fluency in English and strong communication skills, • Willingness to learn and collaborate in a multinational environment, • Experience with AWS services and serverless design (Lambda, boto3) and RESTful microservices, • Strong programming skills in Python; knowledge of SQL and relational databases, • Understanding of CI/CD pipelines; ideally Azure DevOps, • exceptional problem-solving, • clear communication, • ownership and accountability, • Python programming; SQL; OOP languages (Scala, C#, Java) advantageous, • RESTful APIs and microservices on AWS; AWS Lambda; boto3; serverless, • AWS cloud-native architectures at enterprise scale; security best practices (MFA, encryption, IAM)

As a Senior Cloud Backend Engineer in Data & AI Solutions, you will shape cloud-native platforms for Healthcare R&D, primarily using AWS and Azure AD.You will support the technical roadmap, maintain platform functions, and build data archival processes while adopting emerging technologies.You’ll i

Overview In this role you shape the digital, data and information technology landscape for healthcare manufacturing and supply chain. You’ll design scalable, secure, AI-ready cloud architectures and translate business needs into reliable data, analytics, automation and ML solutions. As a trusted partner, you’ll guide global teams, drive platform architecture, and promote responsible AI adoption. You’ll deliver reusable patterns, advise on security and observability, and mentor colleagues to build high-quality, scalable systems. Compensaciones / Beneficios • inclusion and belonging, • personal and career development, • global opportunities, • flexible working culture Responsabilidades, • Design scalable, secure, and AI-ready cloud architectures for data and analytics solutions, • Act as architectural partner for business and technology stakeholders across a global matrix, • Create reusable blueprints and engineering patterns and guide cross-team delivery, • Oversee platform architecture, automation, and observability to support production solutions, • Promote responsible adoption of cloud and AI capabilities and ensure security and guardrails, • Translate complex requirements into pragmatic designs, guidance, and standards, • Evaluate AWS services, build proofs of concept, define model integration and operationalization patterns, • Provide third-level support for manufacturing and supply chain applications, • Mentor colleagues and foster knowledge sharing to improve scalability, resilience and cost efficiency Requisitos principales, • Five to eight years of hands-on AWS cloud architecture and engineering experience, • At least three years of data warehousing, data lake, and cloud-native analytics experience, • Experience with AWS AI/ML services (SageMaker, Bedrock, Lambda, API Gateway, Glue, Step Functions, Athena, Redshift, EMR) or comparable platforms, • AI-ready architectures with secure data access, model integration, prompt/API orchestration, retrieval augmented generation, observability and responsible AI guardrails, • APIs, deployment, integration patterns, CI/CD using Azure DevOps and Git, and infrastructure as code (CloudFormation), • Three+ years with Docker and Kubernetes on AWS, plus services like S3, Redshift, RDS, Glue, Step Functions, Lambda, EMR, • Strong Python, SQL and PySpark for building scalable data pipelines and production-grade solutions, • Excellent communication and stakeholder engagement, agile delivery, mentoring, cross-team collaboration, English fluency, • AWS certifications are highly desirable, • communication, • stakeholder engagement, • mentoring, • Amazon SageMaker, • Amazon Bedrock, • AWS Lambda

Overview As a Senior Cloud Backend Engineer in Data & AI Solutions, you will shape cloud-native platforms for Healthcare R&D, primarily using AWS and Azure AD. You will support the technical roadmap, maintain platform functions, and build data archival processes while adopting emerging technologies. You’ll implement new features and manage deployments in collaboration with cross-functional teams across the US, Europe, and India. This role offers meaningful work shaping data-driven drug discovery and development at scale. Responsabilidades • Implement new features and build deployments, • Maintain platform functionalities and data archive processes, • Support and execute the technical roadmap for the platform, • Collaborate with cross-functional teams across multinational sites, • Adapt to emerging technologies and drive scalable cloud-native solutions Requisitos principales, • University degree in Computer Science, Engineering, or related field, • Around 10 years of relevant experience, • Proven track record building secure, scalable cloud-native systems on AWS at enterprise level, • Fluency in English and strong communication skills, • Willingness to learn and collaborate in a multinational environment, • Experience with AWS services and serverless design (Lambda, boto3) and RESTful microservices, • Strong programming skills in Python; knowledge of SQL and relational databases, • Understanding of CI/CD pipelines; ideally Azure DevOps, • exceptional problem-solving, • clear communication, • ownership and accountability, • Python programming; SQL; OOP languages (Scala, C#, Java) advantageous, • RESTful APIs and microservices on AWS; AWS Lambda; boto3; serverless, • AWS cloud-native architectures at enterprise scale; security best practices (MFA, encryption, IAM)

Overview Join Sevensense by ABB as an experienced Robotic Applications Engineer within the Robotic Systems team to bridge product development and real-world deployments. You’ll work across Sant Quirze del Vallès (Barcelona) and Zurich, collaborating with project, support, and R&D teams to diagnose field issues, improve performance, and validate new features. You’ll contribute hands-on with robotic platforms and help drive customer success and product evolution. This role offers autonomy, teamwork, and a chance to shape the future of robotics in a fast-moving, innovation-driven environment. Compensaciones / Beneficios • Lunch Allowance / Cantine, • Company Mobile Phone, • Employee Parking, • Benefits Platform, • Learning & Training, • Career Development Responsabilidades, • Provide expert technical guidance during integration, commissioning and operation of deployed systems, • Investigate field issues and perform root-cause analysis with R&D to deliver scalable solutions, • Develop tools and software adaptations to improve diagnostics and integration, • Collect and analyze field feedback to identify product gaps and drive development, • Work hands-on with robotic platforms to validate features and verify fixes, • Collaborate across project, support and customer-facing teams to ensure customer success Requisitos principales, • 3+ years of industrial experience in robotics, autonomous systems, or related fields, • Strong Python software engineering and debugging skills, • Experience with Linux-based systems and networking fundamentals, • Familiarity with localization, mapping, navigation, perception, or AMRs, • Experience with ROS/ROS2, • Proven ability to perform root-cause analysis and drive resolution across multidisciplinary teams, • Strong communication and collaboration skills across engineering, project, and customer-facing teams, • Willingness to travel occasionally to customer sites, • Fluent in English (spoken and written), • Initiative, • Ownership, • Autonomy, • Python programming, • Linux and networking fundamentals, • ROS/ROS2

En AEDIS Gestión de Proyectos estamos iniciando una nueva etapa de crecimiento y buscamos incorporar un/a Ingeniero/a Civil Junior colegiado/a, con ganas de desarrollarse profesionalmente dentro de un equipo dinámico, cercano y con proyectos reales desde el primer día. Qué buscamos? * Ingeniero/

Para expandirnos a nuevos mercados con nuestra nueva tecnología ASi-5 buscamos refuerzos y por ello estamos en búsqueda de un/a: Ingeniero de Ventas / Technical Sales Engineer en Cataluña (h/m/x) ¿Eres ingeniero con pasión por la tecnología y las ventas? ¿Tienes un buen conocimiento de los me

In this role you will deliver and operate modern software solutions for Clinical Development, taking end-to-end responsibility across the lifecycle in a regulated IT environment.You will work in an international product team, translating business needs into scalable solutions and driving continuous

Overview En Magna, trabajas en la transformación digital de la división de espejos y iluminación, impulsando soluciones IIoT en fabricación y logística. Lideras la definición de la estrategia Industry 4.0, gestionas iniciativas digitales y aseguras soluciones escalables y seguras. Colaboras con Operaciones, IT/OT y proveedores para mejorar seguridad, calidad y productividad. Es una oportunidad de impacto en un entorno global, con foco en innovación y estándares industriales. Responsabilidades • Definir y ejecutar la estrategia y roadmap de Industry 4.0 e IIoT, • Gestionar el portfolio de iniciativas digitales (pilotos, escalado y sostenimiento), • Diseñar y gobernar la arquitectura IIoT (OT, edge, datos, cloud e integración), • Integrar sistemas industriales y de negocio (PLCs, SCADA, MES, ERP, WMS/TMS), • Impulsar Smart Factory & Smart Logistics, • Optimizar KPIs operativos, • Desarrollar soluciones de datos y analítica (dashboards, reporting, KPIs), • Implementar gemelos digitales y mantenimiento predictivo, • Asegurar ciberseguridad OT y cumplimiento normativo, • Liderar proveedores, proyectos y gestión del cambio, • Estandarizar modelos para despliegues multi-site, • Desplegar conectividad industrial segura (MQTT, OPC UA, Modbus/TCP, Profinet, EtherNet/IP, IO-Link, RFID, BLE, UWB, códigos de barras), • Asegurar alineación con estándares ISA-95, ISA-88, RAMI 4.0, IEC 62443 y normativa vigente Requisitos principales, • Ingeniería (Industrial, Informática, Automatización, Mecatrónica o similar), • +10 años de experiencia en fabricación, logística y digitalización industrial, • Experiencia liderando proyectos de Industry 4.0 multi-site, • Conocimiento en integración de sistemas (PLC/SCADA, MES, ERP, IoT, cloud), • Experiencia en soluciones IIoT (MQTT, OPC UA, edge, streaming), • Experiencia en automatización logística (RTLS, RFID/BLE/UWB, AGV/AMR), • Orientación a resultados y mejora de KPIs, • Habilidades de liderazgo, gestión de stakeholders y trabajo en entornos internacionales, • Español e inglés fluidos, • liderazgo, • gestión de stakeholders, • orientación a resultados, • IIoT, • MQTT, • OPC UA

Overview In this role you will drive continuous improvement of machinery assembly performance within Volpak’s Operations team, applying Lean Six Sigma methods to raise efficiency and reliability. You will collaborate with Engineering, Operations and Quality to translate technical solutions into standardized assembly practices. You will lead projects to enhance features, design tooling, and transform knowledge into Standard Work. This is a hands-on position that combines data-driven improvements with cross-functional teamwork to deliver measurable results in a global manufacturing setting. Responsabilidades • Drive continuous improvement of machine assembly features for performance, durability and reliability within cost, timing, quality, and KPI constraints, • Design dedicated assembly tooling to boost efficiency, quality, ergonomics and repeatability, • Lead kick-off and close-out meetings for assembly projects and analyze end-to-end process data to identify improvements, • Translate engineering information to stakeholders to ensure clarity and alignment in assembly activities, • Convert production know-how into Standard Work including procedures and best practices, • Ensure proper configuration of devices, machines, and groups to minimize obsolescence, • Handle department administrative tasks (quotations, purchase requests) Requisitos principales, • Engineering degree (Mechanical, Industrial, Electrical, or equivalent), • 5–6+ years of experience in a similar role, • Proven experience applying Lean principles in manufacturing (e.g., production BOM, lean cell design, standard work, 5S), • Knowledge of 3D CAD (SolidWorks and Composer), • Strong data analysis skills to define improvement strategies, • MS Office proficiency (Word, Excel), • Knowledge of SAP, • Good command of English and Spanish, • Willingness to travel worldwide, • Ability to manage multiple complex processes with accuracy and attention to detail, • Team-oriented, results-driven, deadline-focused, • Innovative and customer-focused, • Team-oriented, • Results-driven, • Innovative and proactive, • Lean manufacturing, • Six Sigma, • 5S

Overview As a Business Architect at Roche, you define and safeguard the architectural vision that aligns with business goals and Roche’s Reference Architecture. You lead platform-driven initiatives, promote reusable building blocks, and drive interoperability for patient-facing products. You collaborate across engineering, product, and commercial teams to ensure scalable, secure solutions within Roche’s ecosystem. This role offers the chance to influence digital medical products at scale and advance the common platform strategy for reliable healthcare delivery. Responsabilidades • Define and maintain Architecture roadmap and Reference Architecture aligned with Roche Ecosystem strategy, • Lead technology strategies and blueprints, guiding application integration using reusable components, • Drive platform-first approaches, address data interoperability and event-driven frameworks, • Collaborate with Engineers, Product Managers, and Sales/Medical teams to ensure consistent tech implementation, • Analyze non-functional requirements (security, performance, scalability) and establish governance to reduce duplication and improve robustness Requisitos principales, • Bachelor’s or Master’s degree in Computer Science or Engineering, • 10+ years of experience in business/reference architecture and shared platform strategies, • Deep knowledge of platform strategies, architectural governance, APIs, and shared services models, • Experience with cloud platforms (AWS, Azure, or GCP) and frameworks like TOGAF or SAFe, • Familiarity with healthcare standards such as FHIR and HL7, plus compliance-based design, • Advanced consulting and communication skills, • Cross-functional collaboration in global environments, • Ability to translate business goals into technical roadmaps, • APIs and shared services models, • Cloud platforms AWS, Azure, or GCP, • TOGAF or SAFe

In this role you will contribute to TrainScanner, a leading railway inspection platform using 3D scanning, computer vision, and automated analysis.You collaborate with cross-functional teams to enhance railway safety through accurate digital reconstruction and intelligent inspection algorithms.Expec

Overview En Magna, trabajas en la transformación digital de la división de espejos y iluminación, impulsando soluciones IIoT en fabricación y logística. Lideras la definición de la estrategia Industry 4.0, gestionas iniciativas digitales y aseguras soluciones escalables y seguras. Colaboras con Operaciones, IT/OT y proveedores para mejorar seguridad, calidad y productividad. Es una oportunidad de impacto en un entorno global, con foco en innovación y estándares industriales. Responsabilidades • Definir y ejecutar la estrategia y roadmap de Industry 4.0 e IIoT, • Gestionar el portfolio de iniciativas digitales (pilotos, escalado y sostenimiento), • Diseñar y gobernar la arquitectura IIoT (OT, edge, datos, cloud e integración), • Integrar sistemas industriales y de negocio (PLCs, SCADA, MES, ERP, WMS/TMS), • Impulsar Smart Factory & Smart Logistics, • Optimizar KPIs operativos, • Desarrollar soluciones de datos y analítica (dashboards, reporting, KPIs), • Implementar gemelos digitales y mantenimiento predictivo, • Asegurar ciberseguridad OT y cumplimiento normativo, • Liderar proveedores, proyectos y gestión del cambio, • Estandarizar modelos para despliegues multi-site, • Desplegar conectividad industrial segura (MQTT, OPC UA, Modbus/TCP, Profinet, EtherNet/IP, IO-Link, RFID, BLE, UWB, códigos de barras), • Asegurar alineación con estándares ISA-95, ISA-88, RAMI 4.0, IEC 62443 y normativa vigente Requisitos principales, • Ingeniería (Industrial, Informática, Automatización, Mecatrónica o similar), • +10 años de experiencia en fabricación, logística y digitalización industrial, • Experiencia liderando proyectos de Industry 4.0 multi-site, • Conocimiento en integración de sistemas (PLC/SCADA, MES, ERP, IoT, cloud), • Experiencia en soluciones IIoT (MQTT, OPC UA, edge, streaming), • Experiencia en automatización logística (RTLS, RFID/BLE/UWB, AGV/AMR), • Orientación a resultados y mejora de KPIs, • Habilidades de liderazgo, gestión de stakeholders y trabajo en entornos internacionales, • Español e inglés fluidos, • liderazgo, • gestión de stakeholders, • orientación a resultados, • IIoT, • MQTT, • OPC UA

Overview In this role, you will architect and operate a cloud-native platform that powers intelligent, autonomous AI applications across a global enterprise. You’ll own the platform strategy, design multi-tenant Kubernetes environments, and drive end-to-end delivery with a focus on security, reliability, and scalable operations. You’ll mentor engineers and collaborate with cross-functional teams to turn complex AI and MLOps needs into reusable platform patterns. This is a mission-driven opportunity to shape how agentic AI drives impact in healthcare and life sciences. Compensaciones / Beneficios • high-autonomy engineering culture, • flexible working models, • global, diverse environment, • opportunity to impact life-changing R&D, • culture of inclusion and belonging, • career development across a global company Responsabilidades, • Own the platform architecture, technical roadmap and ADRs within the broader agentic AI strategy, • Design, build and operate the multi-tenant Kubernetes platform using Amazon EKS, Terraform, Helm, Kustomize, Argo CD and Argo Workflows, • Build repeatable onboarding, promotion, recovery and decommissioning capabilities through Azure DevOps and GitOps, • Implement identity and tenant isolation across OIDC, Kubernetes RBAC and impersonation, AWS workload identity and secrets management, • Design secure integrations with models, tools, MCP/A2A services and other enterprise platforms, • Own operational readiness, including SLOs, telemetry, agent and LLM tracing, evaluation, capacity, cost, incident response, upgrades, backup/restore and rollback, • Develop and review production Python, Terraform modules, Helm charts and pipeline templates, • Establish technical standards, documentation and reusable platform patterns, and mentor other engineers Requisitos principales, • University degree in Computer Science, Engineering, or equivalent, • 8+ years of relevant experience building secure, scalable, resilient cloud-native backend systems at enterprise scale, • Experience in architecting complex cloud-native solutions and in guiding teams in their implementation, • Hands-on experience designing and operating production Kubernetes platforms, preferably Amazon EKS, • Strong AWS platform engineering experience across EKS, ECR, IAM/workload identity, VPC/private connectivity, ALB/WAF, Route 53, Secrets Manager, CloudWatch and S3, • Strong Infrastructure as Code and GitOps experience using Terraform, Helm, Kustomize, Argo CD and Git, • Experience building and governing CI/CD pipelines, preferably with Azure DevOps, • Strong production Python experience, including boto3, API integration, automated testing and operational automation, • Experience with OIDC/OAuth2/JWT, least-privilege access, tenant isolation, Kubernetes RBAC and secure secrets management, • Practical experience building or operating GenAI or agentic systems, including tool integration, state and memory, evaluation, observability and failure handling, • Understanding of MCP and A2A, particularly authentication, authorization, service boundaries and enterprise governance, • Business-fluent English (written and spoken), • Strong sense of ownership and accountability, • Curious and eager to learn; comfortable with evolving tech, • Collaborative, cross-functional teamwork in international settings, • Kubernetes platform design and operation (EKS), • AWS services: EKS, ECR, IAM, VPC, Route 53, Secrets Manager, CloudWatch, S3, • Terraform, Helm, Kustomize, Argo CD, Argo Workflows

This job is with HP, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Cybersecurity Threat Detection & Response Engineer Description - As the world around us becomes more connected and more digital, there are increased opportunities for fraud and disruption due to cybersecurity attacks. The need for companies, products, and services to be secure is more important than ever in this constantly changing landscape. Are you passionate about keeping good people safe from bad actors? We are too! We are HP Cybersecurity, and we are tasked with the security of the HP enterprise. As HP continues our digital transformation, the work of the cybersecurity professional is never complete and is always interesting. Come be a part of making a difference with us! What does a Cybersecurity Threat Detection & Response Engineer do at HP: • Uses knowledge of the HP environment to scope the extent and impact of any attack or breach., • Resolves HP security issues related to security incidents and threats through independent analysis and/or research., • Supports incident escalation and assesses probable damages, identifies damage control and remediation, and assists in developing courses of action., • Threat hunts the HP environment for known or emerging Tactics, Techniques, or Procedures (TTPs)., • Identifies HP security system attacks and threats, runs analyses on security incidents and threats, and researches appropriate countermeasures. Able to contribute to the posture or enhancement of counter-threat programs. Individuals who thrive in this role at HP, typically have: • 6+ years of relevant experience including security operations, incident response, or threat hunting., • Experience in developing threat-hunting hypotheses; leveraging security platforms to test, search, and investigate potential uncovered threats., • Familiarity with Security Analytics Platforms and Endpoint Detection & Response (EDR) Platforms, • Knowledge and experience of common enterprise technology solutions, • Strong understanding of digital forensics, including one or more of the following a strong plus:, • File system, Registry, etc. artifacts commonly associated with malware or malicious activities., • Cloud Forensics, • Memory analysis, • Malware reverse engineering, • A mindset of continuous growth, curiosity, and asking WHY?, • Preferred: Technical Cyber Security Certification through one of the recognized bodies - e.g. SANS, ISACA, (ICS)2, CompTIA, Cisco, CERT., • Periodic weekend on-call required About the team: Our Threat Detection & Response Engineers are part of our Threat Detection & Response team, enabling optimal communication and collaboration with closely related functions. Our mission is simple to express - find and stop the Bad Guys! - but challenging to execute. You can become a key part of ensuring our success! As a Threat Detection & Response Engineer, you will also have the opportunity to interface with other Cybersecurity functions using your knowledge to respond to protect HP from attacks. What we offer: • Opportunity to work in an international organization with colleagues coming from all over the world., • Diverse, continued internal growth and career opportunities. Including HP's own learning platform and LinkedIn Learning., • An attractive benefits package:, • Health & Life insurance, • Lunch at reduced prices at our canteen/ ticket restaurant vouchers, • HP product discount, • Work life balance / flexible working hours., • Women, Pride, Young employees, Sustainability and DisAbility! Just a few of our fantastic global business networks you can get involved with locally., • We also dedicate time and resources to contribute with our community through Corporate Volunteering activities, including our onsite HP Charity day., • Do you like to give back to the community? Then join one of our many volunteering teams or be a part of the incredible HP charity day held on site annually., • Love sports? Then take advantage of our sports center (indoor and outdoor) with 25+ regular coordinated activities., • We have an onsite Doctor and medical team for our employees, including services such as: nutrition, physiotherapy, and general health., • Printing Happy hour - from photographs to large posters. And Hands-on workshops to print with the latest technology - from wall covers to 3D printed models., • Dedicated lactation room., • Our Women Network organizes activities such as Networking, the promotion of STEM vocations, talks on, improving business acumen, work life balance and skills of the future, etc. Sounds like you? Apply and let's have a talk! Sales and Services Entity (ES11) Job - Data & Information Technology Schedule - Full time Shift - No shift premium (Spain) Travel - Relocation - No Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

En BETWEEN apostamos por ofrecerte las mejores oportunidades dentro del área tecnológica. Contamos con un equipo de más de 950 profesionales. Ser parte de nuestro equipo significa formar parte de una comunidad multicultural, con acceso a oportunidades de crecimiento y desarrollo profesional, generando impacto. Si quieres desarrollar tus capacidades en un entorno internacional, apostando por trabajar en soluciones de I+D tanto en Ingeniería como en IT, ¡este es tu próximo destino! Participarás en un área puntera desoluciones industriales inteligentes, desarrollando aplicaciones de IA aplicadas a la optimización de procesos y al diseño de un chatbot basado en modelos de lenguaje que transformará la experiencia de usuario en entornos técnicos complejos. • Desarrollar y desplegar modelos de machine learning y algoritmos para resolver problemas de negocio., • Diseñar, construir y mantener sistemas de IA escalables., • Integrar soluciones de IA en productos y servicios junto a arquitectos, ingenieros de datos, desarrolladores y product managers., • Desarrollar y optimizar el chatbot con modelos de lenguaje aplicados al entorno de impresión industrial., • Realizar análisis y preprocesamiento de datos., • Monitorizar y optimizar el rendimiento de los modelos., • Documentar procesos, soluciones y buenas prácticas., • Colaborar en revisiones de código y asegurar el uso ético de la IA., • Tendrás horario flexible., • Contarás con un PC y los periféricos necesarios para tu trabajo., • Tres días presencial en Sant Cugat del Vallés y dos desde casa., • Seguro médico., • Dispondrás de oportunidades de formación y desarrollo profesional: Idiomas, cursos en Udemy, Certificaciones, Programa The Power Business School y Bootcamps especializados (Agile, DevOps, IA & Big Data, Ciberseguridad, etc.)., • Contarás con un equipo de Talento que te acompañará durante toda tu experiencia con nosotros. ¡Haremos un café una vez al mes! Así, mantendremos el contacto., • Pondremos a tu disposición un amplio abanico de retos y proyectosacordes con tus objetivos personales y profesionales., • Posibilidad de elegir cómo obtener parte de tu salario gracias a las ventajas fiscales de nuestra Retribución Flexible (Ticket restaurant, Ticket transporte, Ticket guardería)., • Descuentos para acceder a centros de Fitness con Wellhub., • Acceso a nuestro Club de Descuentos: Inspiring Benefits., • En BETWEEN nos gusta mucho hacer networking, por lo que te invitaremos a participar en todos estos eventos ¡y más!: las BETWEEN Nights, torneos deportivos, etc., • Programa remunerado de recomendación de Talento. En BETWEEN, la igualdad de oportunidades es uno de nuestros valores. Nuestro compromiso es contratar al mejor talento independientemente de su raza, religion, sexo, edad y personas con otras capacidades y promover su desarrollo profesional y personal. #LI-DNI #J-18808-Ljbffr

Join Impress – Europe's Leading Health-Tech Innovator! We believe everyone deserves a smile they'll love. As the largest Ortho clinic chain in Europe, we combine cutting-edge tech with expert care, revolutionizing invisible orthodontics since 2019. With 150+ clinics across 10 countries and rapid growth, we're improving lives worldwide. We are looking for a Lead ERP Solutions Architect (Odoo) to join our Onsite Team in Barcelona and lead the transformation of our digital presence. • Work with an international and multicultural team, • Competitive salary, • Teeth aligner and whitening benefits, • Collaborative work environment and positive culture, • Opportunities to grow within a fast-paced, innovative company and real start-up experience with big challenges, • Fresh fruits and healthy snacks at the office, • Own Odoo 18 across all entities: module strategy, configuration, integrations and roadmap., • Set the target architecture for back-office operations across Odoo, our CRM, our offer service and our internal platform services, then migrate processes to where they belong. Logistics, production and finance come first., • Drive our finance automation programme: bi-directional bank connectivity, AR reconciliation, automated payment proposals, purchase orders, and the inventory and warehouse rollout to clinics., • Own the integrations between systems: CRM to ERP sync, manufacturing orders triggered by aligner production events, shipping label generation, product catalogue and SKUs, invoice templates and tax configuration., • Keep us compliant and auditable in every market we operate in, including local e-invoicing and tax authority reporting., • Manage our external Odoo delivery partners and hold them to scope, quality and timeline., • Work directly with AP, AR, accounting, logistics and clinic operations. Understanding how they work comes before redesigning anything., • Deep, hands-on Odoo expertise. You configure, you spec, you read the data model. Odoo 16 or later, ideally 18, with functional depth across accounting, inventory, purchase, manufacturing and sales., • You've done this in a multi-entity, multi-country business. Intercompany, consolidation, local tax regimes and e-invoicing are familiar ground., • Integration literacy. You don't need to ship production code, but you need to specify an API or event contract and challenge an engineer's design when it's wrong., • Clear views on system boundaries and the ability to defend them. You can explain to a finance director why a process belongs in the ERP rather than the CRM, and win that argument., • Commercial and operational curiosity. The best people in this role understand the business before they touch the system., • Comfortable owning a platform that finance and operations depend on every day., • Fluent English is essential., • Based in Barcelona and happy to work from our HQ full-time, alongside the finance and operations teams you'll be building for. At Impress we cultivate a culture of inclusion and diversity. We celebrate our employees' individual strengths, views, and experiences and we encourage all candidates to apply, without regard to race, color, religion, gender identity, sexual orientation, age, national origin, disability, or any other factor. #J-18808-Ljbffr

This job is with HP, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Presales AI Software Solutions Engineer Description - Innovation is in HP's DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world's leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe. HP brings together a portfolio that spans printing, personal computing, software, and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze. Role Overview We are in search of a dynamic and results-driven AI Software Presales Solutions Architect Engineer to join our forward-thinking team. In this role, you will be at the forefront of promoting and selling our cutting-edge AI software solutions. The ideal candidate will possess a deep understanding of artificial intelligence technologies/frameworks, excellent communication skills, and the ability to align technical capabilities with business objectives. As an AI Software Presales Solutions Architect Engineer, you will collaborate closely with our business development team to drive the adoption of our AI solutions and contribute to the growth of our customer base. The ideal candidate will exhibit robust technical proficiency in AI tools and workflows, possess a blend of tactical and strategic customer presales approaches and excel as an effective communicator. Key responsibilities for this role include: Design and implement AI proof of concepts to showcase the capabilities and potential impact on solving customer challenges. White glove onboarding for customers into proof of concept and into production phases with in their AI/ML workflow Translate complex AI concepts into clear and compelling value propositions for customers. Work closely with the business development team to understand customer needs and provide pre-sales technical support. Work with partners and customers to understand their technical needs and find enablement opportunities to expand adoption and utilization of ACS AI solutions. Develop and deliver training sessions on AI software solutions for customers, internal teams, and partners. Create technical documentation and best practices guides to support the sales process and customer onboarding. This includes partnering with the sales and marketing teams to develop compelling customer sales assets. Work with partners and customers to understand their technical needs and find enablement opportunities to expand adoption and utilization of HP AI solutions. Build and maintain strong relationships with clients, understanding their business needs, and providing tailored solutions. Experience knowledge & skills 5+ years of Solution Engineering and software experience. Proven experience in a similar role, preferably in AI software sales or solutions engineering. In-depth knowledge of AI, machine learning, and data science concepts. Strong presentation and communication skills, with the ability to convey technical concepts to diverse audiences. Strong proficiency with AI frameworks, tools, and platforms. Familiarity with sales processes and tools Proficiency in either Python or C++, with experience in both languages. Proven track record of developing enterprise data science projects DevOps and experience in developing software in hybrid cloud environments (Cloud, hybrid and on-prem). Demonstrated track record of achieving presales KPI's including opportunity conversion Ability to work collaboratively in a fast-paced, dynamic environment. Willingness to travel as needed to meet with client and attend industry events. Education: BS/MS in Computer Science, Data Science, Engineering fields or equivalent experience What we offer • A truly international experience: Work in a global organization with colleagues from 60+ nationalities, collaborating across cultures and geographies., • Continuous growth & career development: Multiple internal mobility and career opportunities, supported by HP's learning platform to keep growing your skills., • Competitive benefits package, including:, • Hybrid work model (home office / office), depending on the role/functions, • Health & Life insurance, • Ticket Restaurant Vouchers or lunch at reduced prices at our canteen, • Flexible working hours to support work-life balance, • HP Flex Program: Kindergarten vouchers & Transport Card, • Exclusive HP products offers and discounts for employees, friends and family, • Inclusion & belonging at the core: Join our global employee networks such as Women, Pride, Inclusion, NextGen, Sustainability & DisAbility, with opportunities to get involved locally., • Give back to the community: Participate in volunteering initiatives or join our annual HP Charity Day held onsite., • Stay active & energized: Access our sports center (indoor & outdoor) with 25+ coordinated activities., • Onsite medical services: Doctor and medical team available for annual checkups, nutrition, oral hygiene, physiotherapy, and general health., • Creativity & innovation: Enjoy our Printing Happy Hour-from photos to large posters-and handson workshops using the latest printing technologies, from wall covers to 3D printing., • Easy commuting: Free parking available or excellent access via nearby train services., • Women Network initiatives: Networking events, STEM promotion, business acumen talks, work-life balance sessions, and futureskills development. Job - Software Schedule - Full time Shift - No shift premium (Spain) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

DigiHunting busca un/a Senior Fullstack Developer para una plataforma SaaS B2B en el sector gran consumo. Trabajarás en un equipo ágil, liderando funcionalidades complejas de principio a fin en un entorno orientado a datos y toma de decisiones. Se valoran experiencia con Angular, NET Core, microservicios y Kubernetes; trabajarás con Claude Code y configurarás el SDLC para maximizar resultados. Ofrecen un proyecto estable con clientes internacionales y posibilidad de impacto real. #J-18808-Ljbffr

A leading digital consulting firm is seeking a skilled DevOps/Platform Developer to set up and maintain infrastructure for Next.js apps and microservices. The ideal candidate will have over 3 years of production experience with AWS, skilled in CI/CD pipelines and container orchestration. This is a permanent position offering a flexible schedule, health insurance, and opportunities for training and certifications. Join a dedicated team committed to enhancing business experiences in various sectors. #J-18808-Ljbffr

Description - This role is responsible for specializing in development and deployment of machine learning models that drive innovation and business value. The role researches and implements appropriate ML algorithms and tools, runs machine learning tests and experiments, and trains and retrains systems when necessary. The role contributes to deploying models in production environments and ensuring their seamless integration. • Develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models., • Trains and validates models using appropriate evaluation metrics and techniques., • Optimizes and tunes hyperparameters to improve model performance and generalization., • Deploys machine learning models to production environments, ensuring scalability, reliability, and efficiency., • Monitors and maintains deployed models, making necessary updates to adapt to changing data or requirements., • Spearheads the design of ML systems, experiments with ML algorithms, and regularly trains systems for maximum efficiency., • Designs, develops, tests, and maintains ML pipelines that efficiently produce scalable models., • Cooperates with CI/CD teams to ensure seamless deployment of models to production., • Partners with research and engineering teams to enhance automated model training techniques., • Applies machine learning and statistical modeling techniques to business or research problems., • Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence., • Typically has 4-7 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field or an advanced degree with 3-5 years of work experience., • AWS Certified Machine Learning Specialty, • Agile Methodology, • Algorithms, • Amazon Web Services, • Apache Spark, • Artificial Intelligence, • Automation, • Big Data, • C++ (Programming Language), • Computer Science, • Data Science, • Deep Learning, • Java (Programming Language), • Machine Learning, • Microsoft Azure, • Natural Language Processing, • Python (Programming Language), • PyTorch (Machine Learning Library), • Scikit-learn (Machine Learning Library), • Software Engineering, • TensorFlow, • Effective Communication, • Results Orientation, • Learning Agility, • Digital Fluency, • Customer Centricity Sales & Services Entity Job - Software Schedule - Full time Shift - No shift premium (Spain) Travel - No Relocation - No Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal " #J-18808-Ljbffr

AI /ML EngineerDescription -This role is responsible for specializing in development and deployment of machine learning models that drive innovation and business value. The role researches and implements appropriate ML algorithms and tools, runs machine learning tests and experiments, and trains and retrains systems when necessary. The role contributes to deploying models in production environments and ensuring their seamless integration.Responsibilities• Develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models.• Trains and validates models using appropriate evaluation metrics and techniques.• Optimizes and tunes hyperparameters to improve model performance and generalization.• Deploys machine learning models to production environments, ensuring scalability, reliability, and efficiency.• Monitors and maintains deployed models, making necessary updates to adapt to changing data or requirements.• Spearheads the design of ML systems, experiments with ML algorithms, and regularly trains systems for maximum efficiency.• Designs, develops, tests, and maintains ML pipelines that efficiently produce scalable models.• Cooperates with CI/CD teams to ensure seamless deployment of models to production.• Partners with research and engineering teams to enhance automated model training techniques.• Applies machine learning and statistical modeling techniques to business or research problems.Education & Experience Recommended• Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.• Typically has 4-7 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field or an advanced degree with 3-5 years of work experience.Preferred Certifications• AWS Certified Machine Learning SpecialtyKnowledge & Skills• Agile Methodology• Algorithms• Amazon Web Services• Apache Spark• Artificial Intelligence• Automation• Big Data• C++ (Programming Language)• Computer Science• Data Science• Deep Learning• Java (Programming Language)• Machine Learning• Microsoft Azure• Natural Language Processing• Python (Programming Language)• PyTorch (Machine Learning Library)• Scikit-learn (Machine Learning Library)• Software Engineering• TensorFlowCross-Org Skills• Effective Communication• Results Orientation• Learning Agility• Digital Fluency• Customer CentricitySales & Services EntityJob -SoftwareSchedule -Full timeShift -No shift premium (Spain)Travel -NoRelocation -NoEqual Opportunity Employer (EEO) -HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal " #J-18808-Ljbffr

Our Client's Digital Finance IT is building an AI-enablement layer on top of our enterprise data platform to enable business users across Finance to interact with governed data in natural language. We're hiring a Data Enablement Engineer to design, build, and operate the trusted datasets, semantic models, and embedded AI experiences that make this possible. This is a data platform engineering role, not a data science or model-building role. You will spend your time engineering the data foundation that makes AI reliable — semantic layers, governed data products, and embedded natural-language analytics — not training models. • Design and build AI-ready data products on Databricks — trusted datasets with well-defined business semantics, KPIs, hierarchies, and business glossary alignment, • Implement semantic layers and governed datasets that support both traditional BI consumption and natural-language querying by business users, • Deploy and operate Databricks Genie spaces with Unity Catalog, tuning them for accuracy, adoption, and business relevance, • Build RAG pipelines and conversational analytics applications grounded in governed enterprise data — including Streamlit or Databricks Apps that let business users query data without writing SQL, • Engineer robust ETL/ELT pipelines (dbt, Airflow, Snowpark, PySpark) that produce and maintain the trusted data these AI experiences depend on, • Implement data governance — RBAC, row/column-level security, masking, lineage, auditability, catalog and metadata management — in a regulated pharma environment, • Optimize cost and performance on both the data platform side (warehouse sizing, cluster tuning, query optimization) and the AI side (token usage, caching, model routing), • Partner with Finance business stakeholders to translate domain requirements into semantic models and governed data products they can trust, • 5+ years hands-on data engineering on cloud data platforms — Databricks demonstrated in real project delivery, not skill-list-only, • Direct hands-on experience with Databricks Genie — you have built, configured, and tuned these in production or advanced pilots, with specific reference to the flavors used (Cortex Analyst / Search / Agents / LLM Functions, or Genie spaces with semantic models), • Semantic layer / trusted data product delivery — you have built governed datasets that business users can rely on, with KPI definitions, hierarchies, and business glossary alignment, • dbt, PySpark, Snowpark, SQL, Python — strong across the modern data stack, • Orchestration with Airflow, Databricks Workflows, or equivalent, • Data governance in regulated environments — RBAC, RLS, masking, lineage, auditability, • Experience integrating structured and unstructured data (PDFs, SharePoint/Teams content, enterprise knowledge sources) into AI-enablement workflows, • Pharma, life sciences, or regulated financial services domain experience, • Veeva CRM, IQVIA, SAP, or clinical data source integration, • Streamlit or Databricks Apps for business-facing analytics, • Databricks Data Engineer Professional certification, • LangChain, LlamaIndex, or equivalent RAG frameworks, • Cost optimization on both compute (warehouse/cluster) and LLM (tokens/caching/routing) dimensions, • Data Scientists — this role is not model training, fine-tuning, LoRA/RLHF, or ML research, • Pure Data Engineers who list Cortex or Genie as a skill but haven't shipped it in production, • AI/GenAI engineers whose center of gravity is LangChain agents or RAG-over-documents, without a strong governed data platform foundation, • Computer vision, NLP model builders, or multi-agent orchestration specialists — wrong shape for this role #J-18808-Ljbffr

Overview Join Sevensense by ABB as an experienced Robotic Applications Engineer within the Robotic Systems team to bridge product development and real-world deployments. You’ll work across Sant Quirze del Vallès (Barcelona) and Zurich, collaborating with project, support, and R&D teams to diagnose field issues, improve performance, and validate new features. You’ll contribute hands-on with robotic platforms and help drive customer success and product evolution. This role offers autonomy, teamwork, and a chance to shape the future of robotics in a fast-moving, innovation-driven environment. Compensaciones / Beneficios • Lunch Allowance / Cantine, • Company Mobile Phone, • Employee Parking, • Benefits Platform, • Learning & Training, • Career Development Responsabilidades, • Provide expert technical guidance during integration, commissioning and operation of deployed systems, • Investigate field issues and perform root-cause analysis with R&D to deliver scalable solutions, • Develop tools and software adaptations to improve diagnostics and integration, • Collect and analyze field feedback to identify product gaps and drive development, • Work hands-on with robotic platforms to validate features and verify fixes, • Collaborate across project, support and customer-facing teams to ensure customer success Requisitos principales, • 3+ years of industrial experience in robotics, autonomous systems, or related fields, • Strong Python software engineering and debugging skills, • Experience with Linux-based systems and networking fundamentals, • Familiarity with localization, mapping, navigation, perception, or AMRs, • Experience with ROS/ROS2, • Proven ability to perform root-cause analysis and drive resolution across multidisciplinary teams, • Strong communication and collaboration skills across engineering, project, and customer-facing teams, • Willingness to travel occasionally to customer sites, • Fluent in English (spoken and written), • Initiative, • Ownership, • Autonomy, • Python programming, • Linux and networking fundamentals, • ROS/ROS2

In this role you will drive interoperable connectivity solutions within Roche Diagnostics, focusing on reusable software to simplify integration across diagnostics systems.You will lead technical discussions, mentor teammates, and align architecture with product goals while maintaining quality stand

As Expert SW Engineer in Mobile you will help design, implement, and maintain reusable connectivity solutions to simplify interoperability across Roche diagnostics and partner systems.You work within an Agile environment, guiding architecture, quality, and ASDLC adoption while mentoring others.Your

Overview In this role you contribute to robotics software and hardware validation, focusing on automation and CI/CD for VSLAM-based products. You join a cross-functional R&D team that supports continuous testing across development and release cycles, helping to scale reliable validation in autonomous mobile robotics. You will implement automated test pipelines and foster faster feedback loops, working with SLAM experts to strengthen engineering foundations. This is a hands-on opportunity in a fast-moving, innovation-driven environment to shape robust, scalable robotics software. Compensaciones / Beneficios • Lunch allowance, • Private health insurance, • Home office flexibility, • Career development, • Learning & training, • Wellbeing program Responsabilidades, • Develop, maintain and scale automated test pipelines across virtual and HIL environments, • Ensure automated regression tests run reliably in nightly and release validation, • Implement CI/CD integrations, infrastructure improvements, and job orchestration to raise throughput, • Support Robotic Systems team by expanding coverage and improving developer feedback loops Requisitos principales, • 3+ years of experience in test automation, DevOps, or software test engineering, • Python or related language for test tooling and harness development, • Experience with hardware-in-the-loop testing is a plus, • Advanced skills with CI/CD systems and pipelines (GitLab CI or similar) including runner infrastructure (cloud, bare-metal, HIL), • Familiarity with Linux and Debian-based distributions, • Degree in Computer Science, Robotics or a related field, • Proficiency in English, • collaborative mindset, • strong problem-solving, • clear communication, • Python, • test harness development, • automation tooling

Track record designing and implementing enterprise solutions in global, cross-functional environments. Provide architecture leadership across the full delivery lifecycle (planning, development, testing, deployment, operations). English proficiency; willingness to travel.

Maintain architectural guidelines to support engineering excellence. Foster high‑quality maintenance, enhancements, and strategic projects aligned with the Roche Ecosystem strategy. Support Development and Solution Architects to deliver strategic outcomes and robust service delivery.

Colaborar con producción, mantenimiento y otros departamentos para correcto funcionamiento. Braun te incorporarás para gestionar proyectos de mejora y adecuación de instalaciones, asegurando la operativa de plantas productivas. Elaborar presupuesto y proyecto para ejecución.

In this role you shape the digital, data and information technology landscape for healthcare manufacturing and supply chain.You’ll design scalable, secure, AI-ready cloud architectures and translate business needs into reliable data, analytics, automation and ML solutions.As a trusted partner, you

En Eurecat, la línea de Mobile Robotics busca un/a investigador/a con experiencia en robótica aérea, UAV autónomos y percepción AI para avanzar en sistemas autónomos de navegación y toma de decisiones.Trabajarás en plataformas multirotor y VTOL aplicadas a inspección, logística y monitoriz

ÚNETE A SALAS COMO ARQUITECTO/A ADJUNTO/A! 🏗️ ¿Eres un/a arquitecto/a con experiencia en la redacción de proyectos de vivienda? ¡Esta oportunidad es para ti! En SALAS estamos buscando un Arquitecto/a Adjunto/a para dar soporte al Responsable de Proyectos en la redacción de proyectos y mate

Overview In this role, you will architect and operate a cloud-native platform that powers intelligent, autonomous AI applications across a global enterprise. You’ll own the platform strategy, design multi-tenant Kubernetes environments, and drive end-to-end delivery with a focus on security, reliability, and scalable operations. You’ll mentor engineers and collaborate with cross-functional teams to turn complex AI and MLOps needs into reusable platform patterns. This is a mission-driven opportunity to shape how agentic AI drives impact in healthcare and life sciences. Compensaciones / Beneficios • high-autonomy engineering culture, • flexible working models, • global, diverse environment, • opportunity to impact life-changing R&D, • culture of inclusion and belonging, • career development across a global company Responsabilidades, • Own the platform architecture, technical roadmap and ADRs within the broader agentic AI strategy, • Design, build and operate the multi-tenant Kubernetes platform using Amazon EKS, Terraform, Helm, Kustomize, Argo CD and Argo Workflows, • Build repeatable onboarding, promotion, recovery and decommissioning capabilities through Azure DevOps and GitOps, • Implement identity and tenant isolation across OIDC, Kubernetes RBAC and impersonation, AWS workload identity and secrets management, • Design secure integrations with models, tools, MCP/A2A services and other enterprise platforms, • Own operational readiness, including SLOs, telemetry, agent and LLM tracing, evaluation, capacity, cost, incident response, upgrades, backup/restore and rollback, • Develop and review production Python, Terraform modules, Helm charts and pipeline templates, • Establish technical standards, documentation and reusable platform patterns, and mentor other engineers Requisitos principales, • University degree in Computer Science, Engineering, or equivalent, • 8+ years of relevant experience building secure, scalable, resilient cloud-native backend systems at enterprise scale, • Experience in architecting complex cloud-native solutions and in guiding teams in their implementation, • Hands-on experience designing and operating production Kubernetes platforms, preferably Amazon EKS, • Strong AWS platform engineering experience across EKS, ECR, IAM/workload identity, VPC/private connectivity, ALB/WAF, Route 53, Secrets Manager, CloudWatch and S3, • Strong Infrastructure as Code and GitOps experience using Terraform, Helm, Kustomize, Argo CD and Git, • Experience building and governing CI/CD pipelines, preferably with Azure DevOps, • Strong production Python experience, including boto3, API integration, automated testing and operational automation, • Experience with OIDC/OAuth2/JWT, least-privilege access, tenant isolation, Kubernetes RBAC and secure secrets management, • Practical experience building or operating GenAI or agentic systems, including tool integration, state and memory, evaluation, observability and failure handling, • Understanding of MCP and A2A, particularly authentication, authorization, service boundaries and enterprise governance, • Business-fluent English (written and spoken), • Strong sense of ownership and accountability, • Curious and eager to learn; comfortable with evolving tech, • Collaborative, cross-functional teamwork in international settings, • Kubernetes platform design and operation (EKS), • AWS services: EKS, ECR, IAM, VPC, Route 53, Secrets Manager, CloudWatch, S3, • Terraform, Helm, Kustomize, Argo CD, Argo Workflows

Overview En Eurecat, la línea de Mobile Robotics busca un/a investigador/a con experiencia en robótica aérea, UAV autónomos y percepción AI para avanzar en sistemas autónomos de navegación y toma de decisiones. Trabajarás en plataformas multirotor y VTOL aplicadas a inspección, logística y monitorización, integrando IA en pilas de autonomía. Serás parte de un equipo interdisciplinario, llevando desarrollo, validación y despliegue en campo y colaborando con clientes y socios. Esta posición ofrece impacto en proyectos de I+D+i y crecimiento profesional en un entorno tecnológico líder. Compensaciones / Beneficios • Contrato indefinido, • Modelo híbrido de trabajo, • Horarios flexibles y viernes con jornada reducida, • Paquete de retribución flexible (seguro de salud, transporte, comidas), • Formación profesional a través de Eurecat Academy, • Estudio de idiomas (inglés, catalán, español) Responsabilidades, • Definir, diseñar y desarrollar conceptos de robótica impulsados por IA, • Contribuir a avances científicos y técnicos de proyectos, • Desarrollar, validar y mantener software de investigación en robótica, • Integrar y desplegar sistemas robóticos en pruebas de campo, • Participar en publicaciones científicas y actividades de diseminación, • Apoyar la gestión de proyectos para asegurar la ejecución y entrega, • Mantener colaboración activa con clientes, socios y equipos multidisciplinares Requisitos principales, • PhD, MSc, or equivalent experience en Robótica, Ingeniería Aeroespacial, IA, Visión por Computador o áreas afines, • Fuerte experiencia en navegación y localización autónoma aérea: planificación de rutas, generación de trayectorias, SLAM, estimación de estado y sistemas de percepción, • Proficiencia en ROS/ROS2 y habilidades de programación (C++ y Python), • Familiaridad con entornos de simulación para robótica aérea (Gazebo, Isaac Sim), • IA/ML aplicada a robótica (mapeo semántico, visión 3D, RL, coordinación multi-robot), • Experiencia en Edge AI para ejecución en tiempo real en hardware a bordo (Jetson, NUC), • Conocimientos de sistemas embebidos Linux, flujos Dockerizados y integración hardware/software de plataformas robóticas, • Experiencia con control de versiones y buenas prácticas de desarrollo colaborativo, • Excelente capacidad de comunicación, • Adaptabilidad, • Creatividad, • ROS/ROS2, • C++, • Python

Design dedicated assembly tooling to boost efficiency, quality, ergonomics and repeatability. Strong data analysis skills to define improvement strategies. Handle department administrative tasks (quotations, purchase requests).

Braun te incorporarás para gestionar proyectos de mejora y adecuación de instalaciones, asegurando la operativa de plantas productivas. Elaborar presupuesto y proyecto para ejecución. Coordinar resolución de incidencias y peticiones para garantizar operativa de la planta.

Braun te incorporarás para gestionar proyectos de mejora y adecuación de instalaciones, asegurando la operativa de plantas productivas.Formarás parte de un equipo multidisciplinar con foco en la mejora continua y la resolución de incidencias.Trabajarás en la coordinación de obras, presupuestos

Ahora queremos sumar un/a Ingeniero/a Mecánico/a de I+D a nuestro equipo de Product & Technologies en Sant Quirze del Vallès.