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Overview In this role you drive the data strategy for a key product domain (e.g., Growth, Retention, Marketplace) at Preply. You partner with leaders across Product, Engineering, and Business to shape long-term decisions based on rigorous measurement. You design scaleable experiments, model long-term value, and define essential metrics to guide the roadmap. You will influence cross-functional teams and elevate analytical standards in a dynamic, global Learner-Tutor marketplace. Compensaciones / Beneficios • lesson allowance on Preply.com, • Learning & Development budget, • health insurance, • relocation package to Barcelona, • mental health support platforms, • gym access in Spain Responsabilidades, • Develop strategic understanding of key value drivers in your domain and translate into decision frameworks for leadership, • Define long-term measurement and experimentation strategy for your domain, • Design, execute and evaluate large-scale experiments to drive business outcomes, • Lead deep analyses of customer behavior and retention to improve long-term value, • Own impact modeling and scenario analysis for major product initiatives with robust forecasting, • Govern key metrics to ensure alignment with company goals, • Act as senior thought partner to product, engineering and data leaders, • Lead cross-domain analytical initiatives (e.g., LTV modeling, pricing strategy, marketplace health) Requisitos principales, • Track record influencing product or business strategy in complex environments with clear impact, • Expertise in experimentation and causal inference under imperfect conditions, • Strong understanding of subscription and marketplace economics (LTV, cohorts, retention, pricing), • Strong technical proficiency (SQL, Python) and ability to elevate others’ analytical work, • Experience mentoring senior data scientists and growing the data org, • Curiosity, problem-solving and critical thinking; proactive in addressing challenges, • Ability to influence Directors and VP-level stakeholders in strategic discussions, • Interest in shaping product roadmap and strategy, • curiosity, • problem-solving, • critical thinking, • SQL, • Python, • experimentation and causal inference

Overview En Accenture Song, como Senior IA Generative Consultant diseñarás, industrializarás y operarás modelos de ML avanzados alineados con soluciones data-driven y ecosistemas digitales. Colaborarás con equipos de data science, ingeniería y negocio para generar valor en customer service, marketing y generación de contenido. Desarrollarás soluciones de IA generativa en arquitecturas Cloud, con foco en AWS, y avanzarás en pipelines y prácticas MLOps para producción. Este rol ofrece impacto de negocio y trabajo en un entorno híbrido inclusivo. Compensaciones / Beneficios • Seguro médico, • Seguro de vida y accidentes, • Programas de bienestar, • Retribución flexible, • Programas de sostenibilidad y Fundación Accenture, • Diversidad e inclusión Responsabilidades, • Diseñar e integrar plataformas de IA generativa y agéntica en Cloud y SaaS, • Mantener pipelines de ML orientados a producción, • Implementar CI/CD para modelos analíticos, • Monitorear rendimiento de modelos en producción, • Aplicar seguridad, logging y cumplimiento Requisitos principales, • Experiencia en ML con Python, • Conocimiento de IA generativa (OpenAI, Claude, Gemini, ElevenLabs, HappyRobot), • Experiencia en algoritmos supervisados y no supervisados, • Ciclo de vida completo de modelos, • Experiencia en entornos Cloud, • Nivel de inglés B2-C1, • Colaboración interfuncional, • Pensamiento orientado a datos, • Orientación a seguridad y cumplimiento, • Python para ML, • IA generativa y herramientas específicas, • ML pipelines

Overview As part of the Data, Analytics & AI team, you build production-ready analytics and ML models to optimize pricing, promotions, and business processes. You’ll translate stakeholder needs into predictive insights that drive revenue and cut costs, while collaborating across functions and sharing best practices. You’ll tackle automation, scalability, and data-driven optimization in a global fashion company. This role offers the chance to shape analytical solutions in a high-impact retail environment and work with cloud-based technologies. Compensaciones / Beneficios • base pay, • paid leave, • product discounts, • total rewards package, • hybrid work model, • benefits details upon request Responsabilidades, • Develop production-ready analytical solutions for pricing and promotions problems, • Apply advanced analytics, ML, and AI techniques across internal and external data sets using cloud tech, • Collaborate on pricing elasticity modeling, pricing recommendations, and promotions optimization, • Translate complex data and methodologies into actionable insights and recommendations, • Communicate results clearly to both technical and non-technical audiences, • Identify trends to drive innovation and improvements in processes, • Document code and contribute to community best practices, • Collaborate with cross-functional teams and embrace Levi’s values Requisitos principales, • Strong SQL and Python skills, • Experience with multivariate statistical modeling and ML techniques (e.g., random forests, boosting, time-series forecasting, Bayesian methods), • Experience with cloud platforms (GCP, AWS), • Ability to manage multiple deliverables across stakeholders, • Experience in commercial environments with business impact, • Cross-functional collaboration, • Effective communication to varied audiences, • Empathy and teamwork, • Python, • SQL, • Multivariate statistics and ML (clustering, regression, PCA, factor analysis, time-series)

Overview En este rol lideras el diseño e implementación de algoritmos de IA y aprendizaje automático, guiando a un equipo multidisciplinario para definir requisitos y especificaciones. Supervisarás proyectos de IA, evaluarás tecnologías emergentes y asegurarás la calidad del código. Buscamos a alguien que impulse soluciones innovadoras y escalables que impacten la industria, trabajando en un entorno tecnológico líder. Compensaciones / Beneficios • entorno innovador y colaborativo, • desarrollo profesional y formación continua, • paquete de compensación competitivo, • flexibilidad laboral, • opciones de trabajo remoto o en oficina, • equilibrio vida-trabajo Responsabilidades, • Dirigir el diseño e implementación de algoritmos avanzados de IA y ML, • Colaborar con equipos para definir requisitos y especificaciones del sistema, • Guiar y supervisar al equipo de programadores en proyectos de IA, • Evaluar nuevas tecnologías y técnicas de IA para mejorar productos y servicios, • Garantizar la calidad del código y su mantenimiento siguiendo las mejores prácticas Requisitos principales, • Título universitario en Ciencias de la Computación, Ingeniería de Software o campo relacionado, • Más de 5 años de experiencia en programación de IA o roles similares, • Dominio de Python, C++ o Java, • Conocimiento profundo de técnicas de aprendizaje automático y redes neuronales, • Habilidad para liderar y coordinar equipos en desarrollo ágil, • Inglés avanzado; otros idiomas valorados, • Liderazgo y gestión de equipos, • Colaboración interdisciplinaria, • Comunicación efectiva, • Python, • C++, • Java

Overview As an Integration / Data Engineer, you will design, build, and support scalable AWS serverless integrations across enterprise HR platforms. You will work with Solution Architects, HR product teams, and business stakeholders to deliver secure, high-performing data exchanges between systems like Oracle HCM, ServiceNow, and iCIMS. You’ll ensure data reliability, security, and compliance while optimizing integrations in a global, matrixed environment. This role offers impact by enabling seamless HR data flows and improvements to the recruiter and employee experience. Responsabilidades • Design, develop and deploy scalable serverless integration solutions using AWS services, • Build and manage API-based and file-based (batch/ETL) integrations, • Develop backend logic in Node.js or Python for data transformation and API services, • Collaborate with Solution Architects and business teams to translate requirements into technical solutions, • Manage and optimize AWS infrastructure (API Gateway, Lambda, S3, IAM, CloudFormation), • Ensure security, compliance and data privacy in all integrations, • Monitor, troubleshoot, and ensure high availability and performance of integrations, • Participate in Agile ceremonies and contribute to continuous improvement, • Work across HR ecosystems to enhance employee and recruiter experience through reliable data flows Requisitos principales, • 5+ years of experience in Programming and API, • Techno-functional expertise in HR tech and integrations, • Experience working in Agile environments, • Excellent communication and stakeholder management, • Experience in global, matrixed enterprise environments, • Problem-solving and collaborative mindset, • Excellent communication and presentation skills, • Strong collaboration and teamwork, • Stakeholder management, • AWS serverless stack (Lambda, API Gateway, S3, IAM, CloudFormation), • Secrets Manager / Parameter Store, • API development and integration patterns (REST, JSON, webhooks)

Overview Join Accenture to lead the total reinvention of clients through data and technology. You will define and deploy data and AI strategies, govern data and drive value-generating analytics. You’ll collaborate with cross-functional teams, manage stakeholder workshops, and guide change management in a hybrid Madrid/Barcelona setting. This role offers the chance to shape large-scale data initiatives and advance organizational data culture in a diverse, inclusive environment. Compensaciones / Beneficios • Medical, Life, and Accident Insurance, • Wellness programs, • Flexible compensation program and stock purchase, • Flexibility programs (hours, days off, vacations), • Individualized training itinerary, • Sustainability programs and Accenture Foundation Responsabilidades, • Collaborate with clients to define and deploy data & AI strategies, • Conduct data maturity assessments and identify improvement opportunities, • Define and deploy data governance frameworks and operating models, • Develop and implement policies for data management, • Support clients in leveraging analytics and AI for business value, • Identify data & AI use cases with P&L impact and assess feasibility, • Work with cross-functional teams to deploy data governance and AI solutions, • Deliver insights via data visualization and storytelling to inform decisions, • Manage stakeholders and run workshops for alignment on data initiatives, • Define and execute change management and data culture initiatives, • Prepare presentations and dossiers for top IT, Data and business audiences Requisitos principales, • Strong knowledge of data strategy, governance, and data management with at least 7 years of experience, • Experience enabling business value from data & AI, • Familiarity with DAMA, IDG or other data governance frameworks, • Experience with data governance tools: Informatica, Collibra, Talend, • Experience using analytics tools (SQL, Python, R), visualization tools (Tableau, Power BI) and cloud platforms (AWS, Azure, Google Cloud), • Knowledge of Data Mesh, Data Fabric, Open Data (plus), • Experience in data modeling, mining, or architecture design (plus), • Project management experience (scoping, timelines, deliverables), • Excellent presentation and stakeholder engagement skills, • Experience managing teams and commercial activities, • Fluent in Spanish and English; MS Excel and MS PowerPoint knowledge, • Data governance certifications are a plus, • Excellent presentation and communication skills, • Stakeholder management, • Change management, • Informatica, • Collibra, • Talend

Overview You will define and execute the strategic data roadmap, aligning architecture with business goals. You will lead a data and analytics team and act as Scrum Master to balance short-term delivery with long-term vision. You will design modern microservice-based architectures in containers, promoting governance, security, and documentation. This role focuses on enabling a scalable, data-driven platform to optimise public transport decisions, offering both technical influence and leadership within a cross-functional team. Compensaciones / Beneficios • Hybrid working model, • 8 weeks teleworking outside usual area, • Flexible start and finish times, • Potential relocation package, • Competitive compensation with ongoing reviews, • Wellbeing program (health, dental, mental health) Responsabilidades, • Define and execute the strategic data roadmap aligned with business objectives, • Lead a team of data and analytics engineers and support their professional development, • Act as Scrum Master, balancing sprint delivery with strategic vision, • Design and implement modern microservices-based architectures using Docker and Kubernetes, • Promote best practices in data governance, security, modelling and documentation, • Oversee the development lifecycle from design to implementation with focus on quality and efficiency Requisitos principales, • Architectural design and construction of complex systems, • Experience with data integration and scalable data architectures, • Familiarity with Apache Airflow, Prefect or Luigi, • Object-oriented programming, • Data analysis and visualization tools (Tableau, Power BI), • Python ecosystem (Pandas, NumPy, ML frameworks), • Cloud-oriented architectures (AWS, Azure, GCP), • Big Data frameworks and storage (Spark, Hadoop, HDFS; S3; SQL/NoSQL databases), • Containers and deployment (Docker, Kubernetes), • DevOps and CI/CD practices; agile methodologies, • Cloud certifications (AWS Solutions Architect, Google Cloud Professional Data Engineer) are an asset, • leadership, • team collaboration, • adaptability, • Architectural design of complex systems, • Data integration and governance, • Microservices and container-based architectures

Overview Senior ML Engineer at Wallapop leads the evolution of the ML Platform and MLOps, partnering with data scientists and engineers to scale models for personalization, search, and safety. You shape the long-term ML roadmap, improve reliability, and integrate modern tools to serve millions of users. You’ll work across Data Science, Data Engineering, and DevOps in a fast-growing, Barcelona-based environment that values innovation and responsible scaling. Compensaciones / Beneficios • phantom shares package, • learning budget, • language lessons (English, Catalan & Spanish), • Private Health Insurance, • Flexible working hours, • 26 holidays per year Responsabilidades, • Iterate and maintain the ML Platform to improve speed, reliability, and maintainability, • Define the long-term vision and roadmap for MLOps, • Support Data Scientists with tooling for developing, deploying, and monitoring scalable models, • Promote engineering best practices (coding standards, testing, CI/CD) within ML, • Coordinate with Data Engineering and DevOps to align ML with infrastructure and data governance, • Investigate and integrate new frameworks/tools (e.g., for LLMs or real-time inference) to keep stack modern Requisitos principales, • Proven experience building and maintaining production-ready ML platforms and pipelines, • Strong knowledge of AWS (SageMaker, Lambda, S3) and Kubernetes, • Solid software engineering background with Python, Git, and CI/CD, • Experience with real-time ML architectures using Kafka, • Hands-on experience with vector databases or semantic search (OpenSearch, Vertex AI), • Cross-functional collaboration, • Ability to explain complex technical concepts to diverse stakeholders, • Problem-solving mindset, • Python, • Git, • CI/CD

Overview En este rol te enfocarás en diseñar y mantener soluciones de identidad y acceso mediante Okta dentro de un equipo de IT. Reportas al área de seguridad/infraestructura y colaborarás con clientes para alinear la IAM con la estrategia de transformación digital. Gestionarás implementaciones, configuraciones y operaciones de Okta para garantizar acceso seguro y eficiente. Buscamos alguien proactivo que aporte experiencia en integraciones y buenas prácticas de seguridad para escalar soluciones en entornos complejos. Esta posición híbrida te ofrece impacto directo en la trayectoria tecnológica de clientes y un entorno de aprendizaje continuo. Compensaciones / Beneficios • híbrida, • teletrabajo parcial Responsabilidades, • Implementar, configurar y gestionar Okta, • Gestionar herramientas IAM y asegurar control de accesos, • Trabajar con Active Directory, • Escribir scripts en Python y/o PowerShell, • Integrar APIs RESTful con soluciones IAM, • Colaborar en proyectos de ciberseguridad y transformación digital Requisitos principales, • Experiencia en implementación, configuración y gestión de Okta, • Conocimientos sólidos en herramientas IAM, • Experiencia con Active Directory (AD), • Scripting con Python y/o PowerShell, • Familiaridad con APIs RESTful, • Okta, • IAM, • Active Directory, • Python, • PowerShell, • APIs RESTful

Overview In this role you will contribute to bringing innovative motion-control products to market within Celera Motion. You will develop and maintain multi-platform libraries and GUI tools that simplify system commissioning, while ensuring high quality and close collaboration with firmware and QA teams. You’ll optimize performance, document architecture, and advance diagnostic features to support robust, reliable motion control solutions. This role offers impact across product development and customer-facing software platforms. Responsabilidades • Develop and maintain communication libraries, • Develop and maintain motion control libraries with advanced identification and tuning tools, • Develop and maintain graphical user interfaces for servo-driver commissioning, • Optimize performance to meet product requirements, • Write internal documentation on software platforms, • Collaborate with Firmware team to improve products, • Define test plans with QA to ensure software quality Requisitos principales, • BSc, MSc or PhD in Electrical Engineering, Computer Science, Software Engineering, Robotics, Industrial Engineering, or related technical discipline, • 2+ years of experience, • Strong proficiency in Python, • Motion control knowledge (motors, feedback sensors, controls), • Experience with source control (Subversion, Git), • Experience with software testing and automated testing, • Knowledge of Agile methodologies, • Fluent in Spanish and English, • Self-motivated with strong drive to achieve objectives, • Positive, proactive, energetic attitude, • High attention to detail and excellence, • Python, • Motion control knowledge (motor types, feedback sensors, controls), • Subversion, Git

Overview As a Site Reliability Engineer at Perk, you will design, build and maintain scalable AWS-based infrastructure, ensuring performance, reliability and security. You will collaborate with development teams to deliver resilient applications and participate in on-call rotations to resolve production issues. You will continuously improve automation, monitoring and deployment processes to keep systems healthy. This is an opportunity to shape how we scale and operate a global platform that powers real work for thousands of customers. Compensaciones / Beneficios • 竞争性薪酬，包括股票期权, • 充足的带薪假期, • 健康福利, • 健身福利与现场健身房/补贴, • 灵活的薪酬计划, • 有意义的公司活动 Responsabilidades, • 设计、构建与维护可扩展的 AWS 基础设施, • 监控、提升系统性能、可靠性与安全性, • 实现与改进监控工具，确保系统健康与可用性, • 与开发团队协作，构建可扩展、稳健、合规的应用, • 参与值班轮班，解决生产问题, • 持续改进自动化、监控与部署流程 Requisitos principales, • 具备 AWS 服务经验（如 ECS、S3、RDS、Lambda、CloudFront 等）, • 熟悉 DataDog、CloudWatch、Grafana 等监控工具, • 具备 Docker、ECS、Kubernetes 等容器化技术经验, • 熟悉 Bash、Python、NodeJS 等语言, • 具备 IaC 工具经验，如 Terraform、Pulumi 等, • 良好的问题解决能力, • 出色的书面和口头沟通能力, • 跨团队协作与影响力, • AWS 基础设施设计与实现, • 监控、可观测性与自动化工具, • 容器化与编排（Docker、Kubernetes、ECS）

Overview As a Senior Forward Deployed Engineer, you will own end-to-end delivery of agentic AI solutions for Salesforce’s strategic customers, guiding architecture to production handoff. You’ll mentor engineers, set standards, and partner with a Deployment Strategist to translate customer needs into ship-ready AI systems. You will design agentic platforms, manage data pipelines, and drive measurable outcomes with enterprise-grade reliability. This role combines hands-on building with strategic influence in a fast-evolving AI space. Responsabilidades • Own end-to-end build and deployment of agentic AI solutions from architecture decisions to production handoff, • Design and ship agentic systems on the Agentforce platform (agent logic, tool calls, multi-agent orchestration, guardrails), • Manage data lifecycle and readiness across Salesforce Data 360, Snowflake, Databricks, • Resolve blockers in data integration, deployment, and orchestration to maintain performance, • Build and maintain agent performance dashboards and KPI reporting across engagements, • Develop proofs-of-concept and MVPs with judicious decision-making, • Codify learnings into reusable patterns and playbooks for the org, • Mentor engineers through code reviews and pairing, influencing multiple codebases, • Surface field insights to Product and Engineering to shape the Agentforce roadmap, • Partner with Deployment Strategist to translate customer challenges into deliverable solutions Requisitos principales, • 6+ years of software engineering or technical delivery in enterprise AI, cloud, or SaaS, • Degree in Computer Science or related field, • Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex; familiarity with others, • Experience integrating LLMs into production; use of LangChain or LlamaIndex; experience with prompt engineering and responsible AI in customer contexts, • Deep experience in data modeling, processing, and analytics; proficiency with Salesforce Data 360, Snowflake, Databricks, • Strong Salesforce platform expertise: Agentforce, Apex, LWC, Flows, Salesforce APIs, • Entrepreneurial, fast-delivery mindset with good judgment on when to optimize for speed, • Mentored technical talent and created reusable assets (frameworks, playbooks, tooling), • Clear, credible communication with engineers, architects, and executives, • Willingness to travel ~25% and fluency in Spanish and English; Catalan is a plus, • clear communication, • mentorship, • cross-functional collaboration, • Python, • JavaScript/TypeScript, • Java

Overview As Data & Yield Analyst at Softonic, you will bridge revenue data needs with the BI team to enable data-driven decisions and optimize revenue. You’ll analyze yield trends, build dashboards, and drive automation to improve efficiency across revenue streams. You’ll translate data insights into actions for Sales, Paid, Partnerships, Adtech, Product, and Traffic teams, ensuring business impact. You’ll explore market opportunities and implement initiatives with AI tools to streamline analytics. This role offers shaping revenue strategy in a collaborative, fast-paced environment with global reach. Compensaciones / Beneficios • Private Health Care, • Hybrid Work Model (3 days on-site), • Flexible remote work periods, • Flexible Spending Plan & Tax Consultant, • Language classes and Training Program, • Dining/Gaming rooms and snacks Responsabilidades, • Be the data champion for the Advertising & RevOps team and stakeholders across revenue teams., • Identify revenue opportunities through new data points, visualizations, and automation; coordinate with BI/dev teams to build roadmaps and implement projects., • Oversee monthly/quarterly YoY yield performance and trends; alert on fluctuations and recommend action plans., • Provide A/B/lean test analyses and recommendations for revenue initiatives., • Manage optimization and automation of pricing recommendation tools (3rd party or in-house)., • Leverage agentic AI tools to automate data processing and analytics workflows., • Deliver market insights, inventory availability, and trends to Sales and AM teams for better decision-making., • Turn data into actionable insights to unlock revenue opportunities and support smarter business decisions. Requisitos principales, • At least 2 years of experience as a business analyst, preferably in digital advertising., • Experience with BI platforms (Tableau, QlikView) and advanced Google Analytics., • Experience with AI tools (Claude, Gemini, OpenAI, Copilot)., • Experience with BigQuery, SQL, and Python., • Background in big data or data science is a plus., • Experience building analytical models with structured and unstructured data., • Knowledge of online advertising ecosystem., • Understanding of budgeting and financial forecasting principles., • Excellent communication and project management skills; strong business acumen., • Ability to work independently in a fast-moving environment; highly motivated and committed., • Proficient in English (written and spoken)., • strong communication, • proactive mindset, • cross-functional collaboration, • Tableau, • QlikView, • Google Analytics

Overview En Deloitte buscan un perfil de analytics para recopilar, analizar e interpretar datos y generar insights que orienten la toma de decisiones. Trabajarás dentro del programa de Movilidad Interna, colaborando con distintos equipos y clientes para aplicar técnicas analíticas y proponer soluciones de valor. Serás pieza clave para transformar datos en estrategias y mejoras operativas. Te unirás a un entorno orientado a la innovación y al desarrollo profesional con exposición a proyectos de datos y IA. Compensaciones / Beneficios • autonomía en la carrera profesional, • entorno de desarrollo con nuevos profesionales y equipos, • ampliar competencias y conocimientos en nuevos proyectos Responsabilidades, • Extracción y calidad de datos de múltiples fuentes para análisis, • Realizar análisis avanzados con volúmenes grandes y transformar datos para obtener insights, • Crear reportes automatizados y dashboards claros, • Entender requerimientos y proponer soluciones técnicas de valor, • Identificar oportunidades de mejora basadas en análisis, • Participar en implementación y seguimiento de estrategias basadas en datos, • Presentar resultados y estrategias al equipo directivo, • Detectar necesidades de clientes en relación a IA (valorable) y conocer tendencias/ herramientas analíticas, • Entender el entorno tecnológico de los clientes y mantenerse actualizado sobre herramientas de análisis Requisitos principales, • Conocimientos sólidos en análisis de datos, • Experiencia avanzada en SQL, Python o R, • Conocimientos en herramientas de BI como Power BI, Tableau o Qlik, • Nociones de Adobe Analytics o Google Analytics (valorable), • Interpretación y presentación de datos para equipos y partes interesadas, • Conocimiento de negocio para traducir objetivos a KPI y análisis orientado a resultados, • Capacidad resolutiva para enfrentar desafíos analíticos y proponer mejoras, • Buenas habilidades de comunicación para interactuar con stakeholders de diversos niveles, • comunicación efectiva, • trabajo en equipo con perfiles de distintas áreas, • orientación a resultados, • SQL, • Python, • R

Overview In this role you will join sennder’s ML team to translate data-driven insights into high-impact production models. You’ll work across pricing, forecasting, and recommender systems, while exploring new ML-driven solutions for logistics challenges. You will collaborate with product, end-users, and platform engineers to ship end-to-end models from research through production. Your work will help accelerate profitability, capacity planning, and operational efficiency in Europe’s leading digital freight platform. Compensaciones / Beneficios • hybrid work environment, • performance bonuses, • referral rewards, • equity, • sennCare program, • nilo partnership Responsabilidades, • Pricing engine optimization: develop bid estimation and margin models to drive profitability, • Carrier forecasting: build predictive models for carrier behavior and market capacity, • Recommender systems: maintain and improve systems supporting daily operations, • Industry innovation & applied ML: explore ML solutions for routing and network optimization, • Product discovery & ideation: translate operational pain points into ML hypotheses and prototypes, • AI & LLM integration: use foundational models and AI tools to accelerate workflows and build internal products, • Platform collaboration: work with Data & AI Platform (MLOps) to deploy models and influence standards, • End-to-end execution: manage projects from R&D to production release and monitoring Requisitos principales, • 5+ years of hands-on experience in Data Science or ML Engineering, • Strong foundation in statistical analysis, hypothesis testing, and data exploration, • Working knowledge of ML approaches for regression and classification, • Production-ready ML deployment experience, • Proficiency in Python, SQL, and Git, • Experience with cloud data warehouses (e.g., Snowflake), • Jupyter Notebooks for data exploration; creating interactive dashboards (e.g., Streamlit, PowerBI), • Knowledge of how to set up and evaluate LLMs in production, • Business acumen to translate logistics problems into data-driven solutions, • Strong collaboration and communication skills with cross-functional teams, • Strong communication, • Collaborative mindset, • Problem-solving orientation, • Python, • SQL, • Git

Overview As a Senior Forward Deployed Engineer, you will own end-to-end delivery of agentic AI solutions for Salesforce’s strategic customers, guiding architecture to production handoff. You’ll mentor engineers, set standards, and partner with a Deployment Strategist to translate customer needs into ship-ready AI systems. You will design agentic platforms, manage data pipelines, and drive measurable outcomes with enterprise-grade reliability. This role combines hands-on building with strategic influence in a fast-evolving AI space. Responsabilidades • Own end-to-end build and deployment of agentic AI solutions from architecture decisions to production handoff, • Design and ship agentic systems on the Agentforce platform (agent logic, tool calls, multi-agent orchestration, guardrails), • Manage data lifecycle and readiness across Salesforce Data 360, Snowflake, Databricks, • Resolve blockers in data integration, deployment, and orchestration to maintain performance, • Build and maintain agent performance dashboards and KPI reporting across engagements, • Develop proofs-of-concept and MVPs with judicious decision-making, • Codify learnings into reusable patterns and playbooks for the org, • Mentor engineers through code reviews and pairing, influencing multiple codebases, • Surface field insights to Product and Engineering to shape the Agentforce roadmap, • Partner with Deployment Strategist to translate customer challenges into deliverable solutions Requisitos principales, • 6+ years of software engineering or technical delivery in enterprise AI, cloud, or SaaS, • Degree in Computer Science or related field, • Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex; familiarity with others, • Experience integrating LLMs into production; use of LangChain or LlamaIndex; experience with prompt engineering and responsible AI in customer contexts, • Deep experience in data modeling, processing, and analytics; proficiency with Salesforce Data 360, Snowflake, Databricks, • Strong Salesforce platform expertise: Agentforce, Apex, LWC, Flows, Salesforce APIs, • Entrepreneurial, fast-delivery mindset with good judgment on when to optimize for speed, • Mentored technical talent and created reusable assets (frameworks, playbooks, tooling), • Clear, credible communication with engineers, architects, and executives, • Willingness to travel ~25% and fluency in Spanish and English; Catalan is a plus, • clear communication, • mentorship, • cross-functional collaboration, • Python, • JavaScript/TypeScript, • Java

Overview En SlashMobility buscamos un Senior Data Scientist para desarrollar y pulir un nuevo buscador. Trabajarás en mejorar modelos léxicos y semánticos en una búsqueda híbrida, abarcando múltiples idiomas mediante visión por computadora y NLP. Implementarás personalización de resultados para enriquecer la experiencia de cada usuario. Formarás parte de un equipo senior con foco en resolver problemas complejos y entregar impacto real a grandes corporaciones. Compensaciones / Beneficios • modalidad híbrida, • oficina en Barcelona, • trabajo con equipos pequeños y expertos, • proyecto de alto impacto, • cultura de innovación y compromiso, • remoto/Presencial según necesidad Responsabilidades, • Desarrollar y mejorar un buscador nuevo centrado en modelos léxicos y semánticos, • Optimizar rendimiento multilingüe mediante visión por computadora y NLP, • Implementar personalización de resultados para experiencias de usuario únicas, • Desarrollar soluciones end-to-end de ML/DS, desde prototipo hasta producción y mantenimiento, • Trabajar con servicios en la nube y entornos distribuidos, • Contribuir a pipelines de CI/CD, pruebas y automatización de procesos, • Colaborar con equipos interdisciplinarios para alinear soluciones con objetivos del cliente, • Aplicar técnicas de NLP como análisis semántico y clasificación de texto Requisitos principales, • Grado o Máster en Ciencias de Datos, IA, Ingeniería informática o campos cuantitativos, • Al menos 4 años de experiencia como Data Scientist, • Al menos 4 años de experiencia en Python u OO language, • Experiencia en PySpark para procesamiento de grandes volúmenes, • Experiencia en ML/DS end-to-end desde prototipo hasta producción y mantenimiento, • Experiencia con servicios Cloud (AWS, Google Cloud, Azure) y entornos distribuidos, • Sólido enfoque de programación y desarrollo de software con tests, automatización y pipelines CI/CD; herramientas Docker, Jenkins y Git, • Experiencia en NLP: modelos de lenguaje, análisis semántico y clasificación de texto, • Proactividad, • Compromiso, • Trabajo en equipo, • Python, • PySpark, • NLP

Overview In this Lead Data Engineer role, you will own end-to-end data pipelines across Bronze, Silver and Gold layers, enabling scalable data products for the Procurement domain. You will drive DevOps-centric deployment practices in Azure DevOps and GitHub, collaborating with modelers, stewards, and business partners to deliver production-grade solutions. You’ll work with dbt, Databricks, PySpark, and CI/CD automation to shape data architecture and governance at scale. This position offers leadership opportunities, cross-functional impact, and exposure to cutting-edge data engineering practices in a global setting. Compensaciones / Beneficios • growth opportunities, • global teamwork, • culture of collaboration, • learning and development, • voice and influence in shaping future, • opportunity to impact millions Responsabilidades, • Design and implement end-to-end data pipelines for ingestion, transformation, and storage across Bronze, Silver, and Gold layers, • Develop and manage data ingestion processes from source systems via ETL and API-based methods, • Build modular transformation frameworks using dbt, PySpark, and SQL with staging models and load metadata in alignment with Data Vault 2.0, • Design, build, and maintain CI/CD and DevOps processes in Azure DevOps and GitHub Actions with automated testing and governance, • Implement IaC and deployment automation for data platform resources (dbt, Databricks, clusters, dependencies), • Establish monitoring, observability, and operational excellence for pipeline reliability and rapid issue resolution, • Drive data quality, governance, and compliance with automated testing, lineage, and FAIR data principles, • Provide technical leadership and cross-functional collaboration across data engineers, modelers, stewards, BI developers, data scientists, and business SMEs Requisitos principales, • Strong technical expertise in dbt, SQL, Python, Spark (PySpark), Databricks, Git, Azure DevOps, and GitHub, • Proven experience designing and maintaining production-grade data pipelines (5+ years), • Deep CI/CD and automation experience with Azure DevOps Pipelines and GitHub Actions; IaC knowledge (Terraform, Bicep) is a plus, • Advanced Git and repository management; governance across Azure DevOps and GitHub, • Cloud data engineering experience (Azure) with Databricks jobs, clusters, and workflows, • Extensive knowledge of Data Vault 2.0 architecture (Raw Vault, Business Vault, Gold-layer models), • Experience with data ingestion patterns (batch ETL, incremental, CDC, API-based ingestion), • Strong focus on data governance and quality; exposure to scientific datasets is a plus, • Leadership mindset with ability to lead teams, manage projects, and collaborate across functions and geographies, • leadership, • collaboration, • curiosity, • dbt, • SQL, • Python

Overview In this role you will join a cross-functional team to deliver impactful learning experiences for tutors and learners at scale. You will shape backend and frontend engineering across Python/Django and React, drive architectural decisions, and mentor others to raise the engineering bar. You’ll apply data-driven methods to validate ideas, work with product and UX teams, and own initiatives from discovery to deployment. This position offers the chance to influence the future of education at a global level through AI-enabled, user-centric software. Compensaciones / Beneficios • monthly lesson credit, • Learning & Development budget, • health insurance, • relocation package to Barcelona, • on-site mental health support platforms, • Gympass wellness access Responsabilidades, • Develop and own backend features with Python/Django and integrate with third-party vendors, • Build frontend experiences in React/Typescript and contribute to experimentation frameworks, • Lead complex initiatives from discovery through deployment with lifecycle ownership, • Mentor peers, conduct architectural reviews, and promote frontend/backend best practices, • Collaborate with Product, Data, and UX to identify opportunities and measure impact, • Shape system design for scalable, reliable, and maintainable architectures, • Navigate trade-offs and align technical investments with business goals, • Drive technical leadership across the team and contribute to architectural direction, • Pursue excellence through craftsmanship, learning, and helping others grow Requisitos principales, • Backend-heavy Full-Stack capability with ~60% backend focus and ~40% frontend, • Deep AI expertise in Agentic AI, with ability to redesign SDLC and build reusable AI assets, • Experience designing large-scale web applications, APIs, and distributed systems, • Proven technical leadership and ability to influence decisions, • Product-minded with the ability to translate challenges into scalable solutions using data, • Proactive problem-solving and independent work style with collaborative instincts, • Strong ownership, accountability, and track record from concept to delivery, • Excellent collaboration and communication across engineering, product, design, and data, • English level B2 or higher, • Experience with observability, reliability, monitoring, and on-call readiness, • collaboration, • stakeholder management, • clear communication, • Python, • Django, • React

Overview In this role you co-lead and implement AI and new technologies to optimize processes and boost operational efficiency, delivering strategic value to Ferrer. You work with business, digital, and data teams to ensure adoption and scalability of solutions within a digital-transformation context. You will stay ahead of AI trends and guide change management to foster a data-driven culture. This position offers impact across cross-functional areas and opportunities to shape technology strategy and execution. Compensaciones / Beneficios • volunteering activities, • flexible working model, • collaborative office experience, • opportunities for development and learning, • wellbeing benefits, • remuneration customization Responsabilidades, • Manage end-to-end AI technology projects aligned with business objectives and AI strategy, • Collaborate with business teams and stakeholders to ensure value and successful adoption of solutions, • Oversee integration of technologies within Microsoft Azure, Google Cloud, Snowflake and Salesforce environments, • Ensure efficiency and regulatory compliance in deployment, including privacy, security and responsible use of technology, • Stay up to date on AI and digital transformation trends and assess applicability to Ferrer, • Facilitate adoption of new technologies through training and skills development, driving cultural and functional change toward digitalization and automation Requisitos principales, • Bachelor's Degree in Mathematics, Statistics, Physics, Engineering, or related fields, • Minimum of 5 years of experience managing technology projects with a focus on AI and digital transformation, • Experience in Python & SQL programming with a focus on data science, • Knowledge of data processing, analysis, modeling, ML, DL, and process automation, • Strong knowledge of Azure and Snowflake environments, • Experience in designing and developing AI, Generative AI, and process automation solutions, • Strong communication and change management skills for AI adoption across business areas, • Strategic vision and results-oriented mindset with ability to translate business needs into tech solutions, • Proficiency in agile methodologies and technology project management, • Experience in data governance, AI ethics, and regulatory compliance, • Advanced level of English and Spanish, • empathy, • humility, • curiosity, • Python, • SQL, • Azure

Overview En SEIDOR buscamos un/a Técnico/a de sistemas con foco en automatización para fortalecer Infraestructura IT. Integrarás un equipo especializado que gestiona infraestructuras, virtualización y entornos on‑premises y Cloud para clientes grandes. Serás responsable de mantener y evolucionar entornos de automatización con Ansible y de diseñar flujos que optimicen procesos. Colaborarás en proyectos de tecnología punta con impacto significativo y trabajarás en un entorno que valora el aprendizaje y la autonomía. Únete para contribuir a humanizar la tecnología a gran escala. Compensaciones / Beneficios • teletrabajo, • horario flexible, • jornada intensiva los viernes y en julio/agosto, • formaciones y certificaciones, • retribución flexible, • seguro médico Responsabilidades, • Administrar, mantener y evolucionar entornos de automatización basados en Ansible, • Diseñar e implementar nuevos flujos de automatización para optimizar procesos e infraestructuras IT, • Desarrollar scripts y herramientas para automatizar tareas operativas, • Gestionar incidencias, cambios y tareas de mejora sobre plataformas Linux y entornos de automatización, • Colaborar en la mejora continua de la infraestructura, identificando oportunidades de optimización y eficiencia operativa Requisitos principales, • Grado superior en Informática o Ingeniería en informática, • Experiencia mínima de 2 años en administración de sistemas Linux y automatización, • Conocimientos en Ansible, • Experiencia en scripting Bash, Python, PowerShell, Perl o lenguajes similares, • Capacidad para trabajar en entornos corporativos gestionando incidencias y cambios, • Valorable experiencia con monitorización (Nagios, Zabbix, Grafana), virtualización (VMware, Hyper-V), administración de Windows, redes y contenedores (Docker, Kubernetes u OpenShift), • Inglés nivel First Certificate o similar, • trabajo en equipo, • iniciativa y orientación a mejoras, • aprendizaje continuo, • Ansible, • Bash, • Python

Overview In this Senior SEM Analytics role, you will lead paid search analytics to optimize acquisition across Rover’s global brands. You’ll set the analytical agenda with SEM leaders, Finance, Data Science and Analytics Engineering, while staying hands-on with analysis. You’ll evaluate cross-brand spend, cannibalization, and incrementality to drive growth. You’ll build trusted dashboards, improve attribution, and guide bidding strategy with data-driven recommendations. This position offers impact at scale, a strong cross-functional focus, and an opportunity to shape how Rover uses data to accelerate growth. Compensaciones / Beneficios • Long-term incentive plan, • Pension plan, • Private medical insurance, • 25 days PTO, • Meal allowance and flexible compensation plan, • Gym membership Responsabilidades, • Guide bidding and investment across brands, • Evaluate spend allocation, marginal returns, customer lifetime value (LTV), and payback, • Assess cross-brand cannibalization and identify where additional spend generates incremental growth, • Lead experimentation and incrementality—design and analyze channel tests, geo-split experiments, and multibrand tests, • Choose methods, assess statistical power and uncertainty, translate results into recommendations, • Strengthen attribution and reporting—reconcile platform and internal measurement, build dashboards, • Partner with engineering and Data Science on data quality, conversion signals, and customer-value inputs, • Own the SEM analytics roadmap, identify questions, prioritize by business impact, • Mentor analysts and review SQL and analytical methods, develop reusable tools and documentation, • Balance statistical rigor with business needs Requisitos principales, • 6+ years of analytics experience with impactful business decisions, • Advanced SQL and strong statistical analysis skills in Python or R, • Proven experimental design and A/B testing experience with causal inference or geo-based methods, • Experience leading large analytical initiatives and influencing strategy across functions, • Clear communicator with ability to influence technical and non-technical audiences, • Strong communication and storytelling, • Cross-functional collaboration, • Mentorship and leadership, • SQL, • Python or R, • A/B testing and experimental design

Overview En esta posición, lideras la construcción y evolución de la plataforma de datos en una empresa líder del sector industrial europeo. Apoyas la transformación digital conectando sistemas industriales con un entorno cloud moderno, con foco en producción, eficiencia energética y logística. Colaboras estrechamente con Data Scientists para llevar modelos de ML a producción y reentrenamiento, estableciendo productos de datos reutilizables y bien documentados. Buscas impacto tangible a través de soluciones escalables en un entorno híbrido y con liderazgo progresivo del equipo. Compensaciones / Beneficios • modelo de trabajo híbrido con 50% teletrabajo, • horario de entrada flexible y verano intensivo, • parking en instalaciones y comedor subvencionado, • formación continua y desarrollo profesional, • retribución competitiva, • autonomía para proponer soluciones y buenas prácticas Responsabilidades, • Diseñar, construir y operar pipelines de datos fiables y escalables que conecten sistemas industriales con la plataforma de datos corporativa, • Ingestar datos industriales (sensores, PLC, MES) desde Kafka hacia Azure y Databricks, • Desarrollar pipelines en arquitecturas Lakehouse (Bronze/Silver/Gold) con procesamiento batch, micro-batch y streaming, • Integrar datos de planta con información corporativa, cuidando calidad, observabilidad y trazabilidad, • Gestionar grandes volúmenes de datos y desafíos como retrasos, duplicados y reintentos, • Colaborar en gobierno de datos y automatización de infraestructura y despliegues, • Construir productos de datos reutilizables, mantenibles y bien documentados, • Trabajar con Data Scientists para producción y reentrenamiento de modelos de ML Requisitos principales, • Experiencia sólida en diseño y operación de pipelines de datos en producción, • Dominio de Python y SQL, • Experiencia con Spark, Databricks o plataformas Lakehouse, • Conocimiento avanzado de ETL/ELT y procesamiento de grandes volúmenes, • Experiencia con Azure o plataformas cloud (preferentemente Azure), • Capacidad para crear soluciones mantenibles, documentadas y escalables, • Perfil hands-on con interés en diseño e implementación de arquitecturas, • Habilidades de colaboración con equipos técnicos y stakeholders, • Inglés a nivel profesional, • Vehículo propio para desplazamientos a Vallès Occidental, • colaboración con equipos técnicos, • gestión de stakeholders, • capacidad de aprendizaje y transferencia de conocimiento, • Python, • SQL, • Spark

Overview In this role you will advance an autonomous research agent by designing an evaluation suite and data-to-training pipeline. You’ll post-train small open-weight models to improve generation, ranking and execution of scientific ideas, collaborating with the Founding Scientist and a focused engineering team in Barcelona. You’ll iterate on evolving data, publish results in journal clubs, and shape the Next-Gen roadmap to unlock capabilities in the Seqera Platform. Compensaciones / Beneficios • Flexible working hours, • Private health insurance, • Private life insurance, • Equity, • Home office allowance (valued over 1000 USD), • Learning and development budget (1000 USD) Responsabilidades, • Design and implement the evaluation suite to define “better” for the autonomous research agent, • Build a pipeline to convert deployment run data into a training-ready corpus, • Post-train small open-weight models (SFT, preference tuning, adapters) to beat baselines with lower cost and latency, • Run repeated training cycles on evolving data, • Participate in journal clubs and stay at the frontier of post-training specialized models, • Own the Next-Gen roadmap with the Founding Scientist, defining data-to-capability sequencing Requisitos principales, • Post-trained open-weight language models with SFT and at least one preference-tuning method, • Experience retraining models on changing data, handling regression and forgetting (replay, data mixing, adapter strategies, eval gating), • Built evaluation harnesses for specific tasks and defended results, • Fluent Python and modern stack (PyTorch, transformers, TRL, PEFT, vLLM or equivalents), • Strong open-source footprint or contributions to the mentioned tools, or fine-tuned models on the Hub, • Proactive operator mindset; ability to build pipelines when tooling is incomplete, • Willingness to work in-office in Barcelona or relocate, • Problem-solving and initiative, • Collaborative mindset and ability to defend results to skeptics, • Adaptability in data/tooling directions and ambiguity, • Post-training of open-weight LMs (SFT, preference tuning), • Data replay and continual learning techniques (data mixing, adapters, eval gating), • Evaluation harness design and metric definition

Overview As Lead Software Developer at SITA, you will steer the design and delivery of scalable, secure software in a fast-moving aviation tech environment. You will collaborate with product, data, and AI teams to build high-performance applications, guiding architecture and engineering best practices. Your work enables AI-enabled components and robust backend services that scale across the air transport ecosystem. This role offers impact through leadership, modern tech, and a mission to make flight operations more sustainable and efficient. Compensaciones / Beneficios • flex week: work from home up to 2 days/week, • flex day to fit life and plans, • flex-location: up to 30 days/year remote work, • Employee Wellbeing programs (EAP, Champion Health), • professional development via LinkedIn Learning, • competitive benefits adapted to local market Responsabilidades, • Lead design, development and delivery of scalable software (Java/Python) and AI-enabled components, • Architect and maintain backend services, APIs and microservices (e.g., Spring Boot), • Drive scalability, security, observability and performance improvements, • Oversee AI/ML component integration and data services interfaces, • Lead engineering delivery: estimation, planning, code reviews, debt management and CI/CD improvements, • Mentor engineers, set quality standards and promote knowledge sharing, • Collaborate with Product, DevOps and data/AI teams in an Agile environment Requisitos principales, • 7+ years of software development experience with proven senior/lead delivery, • Strong Java expertise (Spring Boot, Hibernate) and solid Python experience, • Understanding of microservices, REST APIs, distributed systems and system design, • Experience with cloud platforms (AWS, Azure or GCP), Docker and CI/CD practices, • Solid knowledge of software security fundamentals (IAM, SSL/TLS, OAuth/JWT) and secure coding; compliance exposure is a plus, • Experience with relational and non-relational databases and observability, • Nice to have: Angular, Kafka/RabbitMQ, Kubernetes, AI/ML familiarity, MLOps, • Aviation/OCC domain exposure is a strong advantage, • leadership and team mentorship, • collaboration across cross-functional teams, • communication and code review discipline, • Java, • Python, • Spring Boot

Overview As a Senior Forward Deployed Engineer, you drive end-to-end delivery of agentic AI solutions for strategic Salesforce customers. You’ll own architecture, deployment, and technical delivery while mentoring engineers and shaping engineering standards. You collaborate with Deployment Strategists to translate complex business needs into deployable AI solutions and stay at the cutting edge of AI tooling. This role offers impact across enterprise environments and contributes to the Agentforce platform’s evolution. Responsabilidades • Lead end-to-end build and deployment of agentic AI solutions from architecture to production handoff, • Design and ship agentic systems on the Agentforce platform (agent logic, tool calls, multi-agent orchestration), • Manage data lifecycles: model design, data pipelines, and data readiness across Salesforce Data 360, Snowflake, Databricks, • Resolve blockers in data integration, model deployment, and orchestration to ensure reliable outcomes, • Create and maintain performance dashboards and KPI reporting for deployments, • Develop proofs-of-concept and MVPs with clear decision-making guidance, • Codify learnings into reusable assets and internal playbooks for the org, • Mentor engineers through code reviews and paired work, • Provide technical depth on critical deployments and surface insights to Product and Engineering, • Collaborate with Deployment Strategists to translate customer challenges into implementable AI solutions, • Communicate engineering status and risks to customer architects and executives Requisitos principales, • 6+ years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems, • Degree in Computer Science or related field, • Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex; proficient in others, • Experience integrating LLMs into production and using frameworks like LangChain or LlamaIndex; knowledge of prompt engineering and responsible AI in real contexts, • Deep experience in data modeling, processing, and analytics across Salesforce Data 360, Snowflake, Databricks, • Strong Salesforce platform expertise: Agentforce, Apex, LWC, Flows, Salesforce APIs, • Entrepreneurial, fast-delivery mindset with judgment to know when not to rush, • Mentored technical talent and created reusable assets/tools, • Clear, credible communication with engineers, customer architects, and executives, • Willingness to travel ~25% and fluent in Spanish and English, • Bachelor's in Computer Science or related field, • strong communication, • mentorship, • cross-functional collaboration, • Python, • JavaScript/TypeScript, • Java

Overview In this role you co-lead and implement AI and new technologies to optimize processes and boost operational efficiency, delivering strategic value to Ferrer. You work with business, digital, and data teams to ensure adoption and scalability of solutions within a digital-transformation context. You will stay ahead of AI trends and guide change management to foster a data-driven culture. This position offers impact across cross-functional areas and opportunities to shape technology strategy and execution. Compensaciones / Beneficios • volunteering activities, • flexible working model, • collaborative office experience, • opportunities for development and learning, • wellbeing benefits, • remuneration customization Responsabilidades, • Manage end-to-end AI technology projects aligned with business objectives and AI strategy, • Collaborate with business teams and stakeholders to ensure value and successful adoption of solutions, • Oversee integration of technologies within Microsoft Azure, Google Cloud, Snowflake and Salesforce environments, • Ensure efficiency and regulatory compliance in deployment, including privacy, security and responsible use of technology, • Stay up to date on AI and digital transformation trends and assess applicability to Ferrer, • Facilitate adoption of new technologies through training and skills development, driving cultural and functional change toward digitalization and automation Requisitos principales, • Bachelor's Degree in Mathematics, Statistics, Physics, Engineering, or related fields, • Minimum of 5 years of experience managing technology projects with a focus on AI and digital transformation, • Experience in Python & SQL programming with a focus on data science, • Knowledge of data processing, analysis, modeling, ML, DL, and process automation, • Strong knowledge of Azure and Snowflake environments, • Experience in designing and developing AI, Generative AI, and process automation solutions, • Strong communication and change management skills for AI adoption across business areas, • Strategic vision and results-oriented mindset with ability to translate business needs into tech solutions, • Proficiency in agile methodologies and technology project management, • Experience in data governance, AI ethics, and regulatory compliance, • Advanced level of English and Spanish, • empathy, • humility, • curiosity, • Python, • SQL, • Azure

Overview En Logicalis Spain buscas un/a Senior AI Engineer para impulsar una nueva unidad de Smart Development. Trabajarás con clientes nacionales e internacionales para traducir necesidades de negocio en soluciones técnicas basadas en IA. Diseñarás prototipos rápidos con IA generativa y participarás en todo el ciclo de producto, buscando maximizar valor para el negocio. Será clave colaborar con usuarios y áreas de negocio, y evolucionar soluciones de forma iterativa dentro de un marco de Data & AI. Compensaciones / Beneficios • Contrato indefinido, • Modelo de trabajo híbrido, • Paquete retributivo competitivo, • Planes de retribución flexible, • Seguro médico, • GYMPASS Responsabilidades, • Trabajar con usuarios y áreas de negocio para entender requerimientos, • Traducir necesidades en soluciones viables, • Diseñar y desarrollar prototipos funcionales con IA generativa, • Iterar con el negocio para mejorar soluciones, • Participar en descubrimiento, análisis, diseño, desarrollo y puesta en producción Requisitos principales, • Conocimiento habitual de herramientas de IA (ChatGPT, Claude, Microsoft Copilot, Codex, GitHub Copilot), • Experiencia en Python, JavaScript/TypeScript, React, FastAPI/Django/Flask, APIs REST, • Experiencia en AI Assisted Development y desarrollo acelerado con IA, • Valorable experiencia en Agentes, LLMs, RAGs, BBDD Vectoriales, generación automática de código, • Capacidad para entender procesos de negocio y interlocución con usuarios, • Perfil autónomo, resolutivo y orientado a resultados, • capacidad de interlocución con usuarios, • curiosidad por entender el negocio, • orientación a resultados, • IA generativa, • IA asistida para desarrollo, • Prompts y desarrollo guiado por contexto

Overview Enfócate en mantener y mejorar la infraestructura de los sitios web del grupo, asegurando cumplimiento regulatorio y control tecnológico. Trabajarás en la creación de nuevos sitios para jurisdicciones internacionales y en la administración de infraestructuras existentes. Colaborarás con auditorías y generarás informes automatizados para las entidades de control del juego. Serás parte de un equipo ágil en un entorno con alta demanda de rendimiento y escalabilidad. Esta oportunidad te permite impactar la expansión internacional y la estabilidad operativa de una compañía líder en ocio y entretenimiento. Compensaciones / Beneficios • teletrabajo 100%, • horario flexible, • salario competitivo, • oficina en Barcelona centro, • ambiente joven y dinámico, • trabajo a tiempo completo con posibilidad de reuniones presenciales 2/3 al mes Responsabilidades, • Mantenimiento de sitios web del grupo a nivel de infraestructura, • Creación de nuevos sitios para nuevas jurisdicciones, • Actualización y monitorización de versiones y tecnologías, • Instalación y administración de infraestructuras, • Soporte/informes durante auditorías, • Automatización de reportes periódicos para entidades de control Requisitos principales, • Linux avanzado, • Experiencia en VMWare, • Infraestructura como código con Ansible, • Contenerización con Docker, • Control de versiones con Git, • Gestión de servidores web Nginx y Apache en entornos de alto tráfico, • Conocimientos de redes, • Herramientas de monitorización (Zabbix), • Administración de bases de datos (MariaDB, PostgreSQL), • MySQL réplication (Master-Slave), • Gestión de IPSec VPN, • Capacidad de generar documentación técnica y procesos, • Bash y Python, • Inglés escrito y oral bueno, • al menos 5 años de experiencia en el puesto y tecnologías, • Priorización de cargas de trabajo, • Pensamiento crítico y solución de problemas, • Paciencia y actitud proactiva, • Linux avanzado, • VMware, • Ansible

Overview In this role you will help operate and scale the Galileo SCCF software at the ground control centre. You will enable robust, secure, highly available infrastructure and drive automation through CI/CD practices. You will collaborate with cross-functional teams and interact with ESA and SCCF operators to support testing and integration milestones. This position offers hybrid work, international mobility, and a chance to contribute to critical space infrastructure. You will work with modern tooling to shape reliable mission-critical systems in a challenging, growth-oriented environment. Compensaciones / Beneficios • Hybrid working model, • 8 weeks per year teleworking, • relocation package, • flexible start and finish times, • personalized career plan and training, • health, dental and accident insurance Responsabilidades, • Support smooth operation of SCCF systems alongside the Senior DevOps Engineer, • Implement and maintain infrastructure using Kubernetes, Helm, Python, Docker, Jenkins, and Ansible, • Troubleshoot infrastructure-related issues, • Develop automation scripts in Bash and Python to reduce manual effort, • Collaborate with cross-functional teams to ensure project delivery, • Assist in reviews, technical workshops, and monitoring of testing milestones, • Interact with ESA and SCCF end users to ensure successful outcomes and feedback Requisitos principales, • Experience in Linux, MySQL, Jenkins, Bash, and Python, • Proficiency in at least one programming language (Bash or Python), • Infrastructure as code with Ansible, • Linux system administration, • Knowledge of Agile methodologies and DevOps practices, • Autonomous work style or team collaboration, • Strong collaboration with cross-functional teams, • Good communication with customers and stakeholders, • Kubernetes, • Helm, • Python

Overview En Logicalis Spain buscas un/a Senior AI Engineer para impulsar una nueva unidad de Smart Development. Trabajarás con clientes nacionales e internacionales para traducir necesidades de negocio en soluciones técnicas basadas en IA. Diseñarás prototipos rápidos con IA generativa y participarás en todo el ciclo de producto, buscando maximizar valor para el negocio. Será clave colaborar con usuarios y áreas de negocio, y evolucionar soluciones de forma iterativa dentro de un marco de Data & AI. Compensaciones / Beneficios • Contrato indefinido, • Modelo de trabajo híbrido, • Paquete retributivo competitivo, • Planes de retribución flexible, • Seguro médico, • GYMPASS Responsabilidades, • Trabajar con usuarios y áreas de negocio para entender requerimientos, • Traducir necesidades en soluciones viables, • Diseñar y desarrollar prototipos funcionales con IA generativa, • Iterar con el negocio para mejorar soluciones, • Participar en descubrimiento, análisis, diseño, desarrollo y puesta en producción Requisitos principales, • Conocimiento habitual de herramientas de IA (ChatGPT, Claude, Microsoft Copilot, Codex, GitHub Copilot), • Experiencia en Python, JavaScript/TypeScript, React, FastAPI/Django/Flask, APIs REST, • Experiencia en AI Assisted Development y desarrollo acelerado con IA, • Valorable experiencia en Agentes, LLMs, RAGs, BBDD Vectoriales, generación automática de código, • Capacidad para entender procesos de negocio y interlocución con usuarios, • Perfil autónomo, resolutivo y orientado a resultados, • capacidad de interlocución con usuarios, • curiosidad por entender el negocio, • orientación a resultados, • IA generativa, • IA asistida para desarrollo, • Prompts y desarrollo guiado por contexto

Overview En SlashMobility buscamos un/a Senior AWS Engineer para liderar la arquitectura y operación en la nube de proyectos de transformación digital. Trabajarás en equipos pequeños y de alto rendimiento, aportando experiencia técnica y visión de producto para resolver problemas complejos con impacto real. Formarás parte de una casa tecnológica que combina talento europeo y hubs en LATAM, orientada a entregar soluciones de alto valor a grandes corporaciones. Compensaciones / Beneficios • Contrato indefinido, • Teletrabajo, • En remoto, • Jornada completa, • Ubicación: Barcelona Responsabilidades, • Diseñar y evolucionar la arquitectura en AWS para soluciones escalables, • Implementar infraestructura como código (Terraform, CloudFormation, Ansible), • Configurar y mantener pipelines CI/CD (Jenkins, GitLab, CodePipeline), • Gestionar contenedores con Docker y Kubernetes, • Escribir y mantener scripts (Python, Bash, PowerShell), • Asegurar seguridad, monitoreo y costos con AWS CloudWatch y otras prácticas, • Trabajar de forma colaborativa con equipos multidisciplinarios para entregar soluciones, • Mantener certificaciones y promover buenas prácticas de ingeniería Requisitos principales, • 5+ años de experiencia en servicios y arquitectura en AWS, • Conocimientos de EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch, • Herramientas IaC: Terraform, CloudFormation, Ansible, • Pipelines CI/CD: Jenkins, GitLab, CodePipeline, • Containerización: Docker y Kubernetes, • Lenguajes de scripting: Python, Bash, PowerShell, • Inglés avanzado, • Certificación AWS Certified Solutions Architect (Professional) o equivalente, • Proactividad, • Compromiso, • Trabajo en equipo, • AWS (EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch), • Infraestructura como código (Terraform, CloudFormation, Ansible), • CI/CD (Jenkins, GitLab, CodePipeline)

Overview En este rol te enfocarás en diseñar y mantener soluciones de identidad y acceso mediante Okta dentro de un equipo de IT. Reportas al área de seguridad/infraestructura y colaborarás con clientes para alinear la IAM con la estrategia de transformación digital. Gestionarás implementaciones, configuraciones y operaciones de Okta para garantizar acceso seguro y eficiente. Buscamos alguien proactivo que aporte experiencia en integraciones y buenas prácticas de seguridad para escalar soluciones en entornos complejos. Esta posición híbrida te ofrece impacto directo en la trayectoria tecnológica de clientes y un entorno de aprendizaje continuo. Compensaciones / Beneficios • híbrida, • teletrabajo parcial Responsabilidades, • Implementar, configurar y gestionar Okta, • Gestionar herramientas IAM y asegurar control de accesos, • Trabajar con Active Directory, • Escribir scripts en Python y/o PowerShell, • Integrar APIs RESTful con soluciones IAM, • Colaborar en proyectos de ciberseguridad y transformación digital Requisitos principales, • Experiencia en implementación, configuración y gestión de Okta, • Conocimientos sólidos en herramientas IAM, • Experiencia con Active Directory (AD), • Scripting con Python y/o PowerShell, • Familiaridad con APIs RESTful, • Okta, • IAM, • Active Directory, • Python, • PowerShell, • APIs RESTful

Overview As the AI Innovation Leader at GMV, you will define the strategic and technical vision for integrating AI into Public Transport solutions. You’ll lead a multidisciplinary team, drive the platform’s evolution toward advanced AI capabilities, and explore new AI-enabled business models. You’ll collaborate with product and tech teams to deliver impactful, scalable AI solutions and ensure robust data governance. This role shapes GMV’s position as a global leader in technological innovation in transport. Compensaciones / Beneficios • Hybrid working model, • 8 weeks per year teleworking, • Flexible start and finish times, • Intensive hours on Fridays and summers, • Personalized career plan development, • Training and language learning support Responsabilidades, • Define the strategic roadmap for AI integration in Public Transport solutions, • Explore new business opportunities and operating models based on AI, • Lead and develop a multidisciplinary team, attracting talent, • Drive platform evolution toward predictive analytics, ML, and optimization, • Collaborate with product and technical teams to align solutions with market needs, • Apply emerging AI technologies (generative AI, computer vision, NLP), • Ensure seamless integration of AI models into existing systems, • Act as a technical reference, guiding the team through complex challenges, • Ensure best practices in data governance, security, modelling, and documentation Requisitos principales, • Leadership of innovative AI/tech projects or startups, • AI architectures, machine learning, and predictive analytics, • Development and implementation of ML models (Python, TensorFlow, PyTorch), • Experience with advanced platforms, data integration, and AI models, • Ability to build teams from scratch and scale technology capabilities, • Knowledge of generative AI, NLP, and computer vision, • Familiarity with scalable data architectures and modern tools, • leadership, • team-building, • strategic thinking, • Python, • TensorFlow, • PyTorch

Overview Schwarz Digits seeks a Data Engineer to design and scale data solutions, drive data operations, and develop ML algorithms that deliver business value. You will build batch and real-time data pipelines, ensure data quality and availability, and extract actionable insights while collaborating with stakeholders. The role sits at the intersection of agility and security within Schwarz Group, contributing to digital sovereignty in Europe. You’ll work in a dynamic, multicultural environment and stay current with emerging technologies. Responsabilidades • Design, build, and maintain batch and real-time data pipelines, • Conduct data operations including exploration, provisioning, cleaning, testing, and ALM, • Develop and implement algorithms in statistics and machine learning, • Collaborate with business stakeholders to translate requirements into technical solutions, • Ensure data integrity, quality, and availability across all systems, • Extract actionable business insights Requisitos principales, • Python, • SQL, • Spark, • Kafka, • Kubernetes, • Hive, • SQL Server, • MongoDB, • ELK, • Cassandra, • Agile methodology experience, • Creative, innovative thinker, • Proactive mindset, • Strong problem-solving skills, • Scikit-Learn, • Pandas, • Spark ML

Overview In this Data Engineer role, you will build and maintain scalable data pipelines, models and infrastructure that power product analytics across Tripledot Games. You will partner with BI, Data Science, backend and product teams to deliver reliable, well-tested data solutions and data products. The role covers monetisation analytics, A/B test analysis, and AI-enabled tooling to support incident investigation and development workflows. You will work in a fast-paced, cross-functional environment and have the opportunity to contribute to AI-powered product initiatives at scale. Compensaciones / Beneficios • 25 days holiday, • Hybrid working, • Private medical cover, • Life & Critical Illness Cover, • Family Forming Support, • Employee Assistance Program (EAP) Responsabilidades, • Develop, maintain and support scalable data pipelines, data models and data infrastructure, • Build engineering data products used by product teams, Data Science and other stakeholders, • Partner with the BI team to design and develop data models and provide data-modelling guidance, • Implement testing and monitoring to maintain reliability and quality of data models and pipelines, • Contribute to data solutions supporting product analytics, including monetisation analytics and A/B test analysis, • Help develop tools and AI-enabled products that improve incident investigation and development workflows, • Collaborate with Data Engineering colleagues and cross-functional partners across BI, Data Science, backend and product teams, • Learn the business context behind our data and take independent ownership of selected data areas Requisitos principales, • Strong SQL and data-modelling skills, • Experience building and maintaining data pipelines and working with analytical data platforms, • Proficiency in Python for data engineering work, • Understanding of analytical and transactional databases, including their differences and appropriate use cases, • Experience with a cloud data warehouse such as Snowflake, Databricks or BigQuery, • Experience with, or the ability to quickly learn, orchestration and transformation tools such as Airflow and dbt, • A practical approach to testing, monitoring and maintaining reliable data systems, • Ability to collaborate effectively with technical and non-technical teams, • Interest in using AI tools, such as Claude, to improve development workflows and productivity, • Games industry experience is welcome but not required, • Familiarity with Looker or similar BI and visualisation tools is beneficial but not essential, • Collaborative mindset, • Strong communication with cross-functional teams, • Adaptive and proactive problem solving, • SQL, • Data modelling, • Python

Overview En esta oportunidad, formarás parte de Application Services dentro de NTT DATA, enfocada en soluciones de mantenimiento y evolución de aplicaciones. Colaborarás con clientes de múltiples sectores para impulsar la mejora continua y construir relaciones a largo plazo. Trabajarás en un entorno que prioriza tecnologías consolidadas y transformaciones digitales a través de soluciones de gestión de aplicaciones e infraestructuras. Tu rol tiene un impacto directo en la estabilidad, evolución y valor de las plataformas de los clientes. Es una oportunidad atractiva para quienes desean contribuir a proyectos tecnológicos de alto impacto en un marco de colaboración y crecimiento. Responsabilidades • Mantenimiento y evolución de aplicaciones, • Mejora continua de soluciones, • Gestión de relaciones a largo plazo con clientes, • Colaboración con equipos para entregar soluciones tecnológicas, • Impulsar transformaciones digitales dentro de clientes Requisitos principales, • Trabajo en equipo, • Comunicación efectiva, • Orientación a resultados, • .NET, • Java, • Python

Overview As an SDET at Emburse, you bridge development and quality assurance by designing robust automated testing frameworks for a large-scale, distributed enterprise SaaS. You’ll collaborate with engineers, product managers, and QA to enable CI and maintain high product quality across releases. Your work directly impacts reliability, performance, and scalability of our expense management platform. This is a chance to shape testing architecture and drive quality in a fast-growing company. Responsabilidades • Define test plans and strategies for features and functionality, • Ensure changes are well-tested and released with high quality, • Perform system and end-to-end testing and coordinate release activities, • Design and implement automation for integration and workflow tests, • Assess load/performance testing needs and create performance tests, • Collaborate with software engineers, product owners and stakeholders to deliver quality, • Participate in peer code reviews to improve test automation architecture Requisitos principales, • 4+ years of Testing/Quality Engineering experience in software, • Experience in Scrum/Agile and DevOps environment, • Automated testing with Pytest, Selenium, or similar tools, • Familiarity with object-oriented programming (Python, Java), • SQL proficiency and ability to write queries, • Experience with RESTful APIs and tools like Postman, • Exposure to load/performance testing and tools, • Experience with front-end and back-end automation frameworks (Selenium, Playwright, Pytest, RestAssured), • CI/CD and release management tools (Jenkins, Ansible, Gitlab/Github), • Collaborative mindset and cross-functional teamwork, • Analytical thinking and problem solving, • Proactive improvement mindset, • Pytest, • Selenium, • Playwright

Overview As a Senior Software Engineer, you will design, build, and operate reliable, scalable backend services and platform components that power product experiences and critical workflows. You will lead the development of complex features, improve reliability and observability, and collaborate with cross-functional teams to deliver high-impact solutions. This role sits in the Technology team, contributing to cutting-edge digital products for readers and users. You will mentor engineers and shape architectural decisions in a fast-paced environment with broad business impact. This is an opportunity to work on scalable systems that drive transformation across platforms. Compensaciones / Beneficios • Comprehensive Healthcare Plans, • Paid Time Off (30 days a year), • Meal Vouchers, • Retirement Plans, • Wellness Resources, • Education Benefits Responsabilidades, • Design, build, and own backend services, APIs, and platform components from planning to release, • Collaborate with engineering, product, and QA to translate requirements into scalable solutions, • Improve monitoring, alerting, observability, and operational readiness for critical services, • Mentor junior engineers and contribute to architecture decisions and engineering standards Requisitos principales, • 4–6+ years of professional software engineering experience in backend or platform environments, • Proficiency in Java, Spring Boot, and Python, • Deep experience with AWS services, Linux, CI/CD, microservices, and distributed systems, • Relational and NoSQL databases (e.g., Redis) and familiarity with data platforms/pipelines, • Experience with Snowflake and modern data orchestration, transformation, and modeling, • Strong problem-solving and communication skills with ability to connect technical work to business goals, • problem-solving, • clear communication, • adaptability, • Java, • Spring Boot, • Python

Overview In this role you will contribute to the development and deployment of a Key Management System for quantum key distribution solutions, helping to evolve security features and integrate with HSMs and digital identity frameworks. You will deploy and harden the KMS in real environments, collaborating with security-focused teams. The position offers a path to shape secure product capabilities and scale QKD deployments. This opportunity combines hands-on engineering with security-centered product work in a growing area. Compensaciones / Beneficios • Hybrid work model, • 8 weeks remote work per year, • Flexible working hours, • Relocation package, • Personalized career development plan, • Wellbeing program Responsabilidades, • Develop and deploy the Key Management System for QKD solutions, • Enhance security functionalities and integrations with HSMs and digital identity frameworks, • Deploy and harden the KMS in real environments, • Support evolution and strengthening of the KMS, • Collaborate with cross-functional teams to ensure secure product delivery Requisitos principales, • Experience with QKD systems, • Proficiency in Java, C, C++, Python, • SQL, • PKCS#11, • Java, • C, • C++, • Python, • SQL, • PKCS#11

Overview In this hybrid role, you will blend technical AI development with strategic consulting to shape AI-driven delivery within healthcare and life sciences projects. You’ll work on embedding AI capabilities into consulting workflows, building data pipelines, and deploying agents and multi-agent systems to improve project outcomes. You’ll collaborate with a senior consulting team to translate business problems into AI solutions and communicate results to non-technical stakeholders. This position offers hands-on engineering work and meaningful client-facing impact in a fast-paced, cross-functional environment. Responsabilidades • Support strategic consulting project design and delivery with analytical thinking and AI-powered methods, • Translate business problems into AI-driven solutions and collaborate with project leads, • Communicate technical approaches to non-technical stakeholders, including leadership, • Contribute to scoping, workplan structuring, and deliverables in a multi-project setting, • Design and implement Python-based data pipelines with external data sources and APIs, • Develop automated data extraction, cleaning, and transformation workflows, • Integrate LLM APIs for classification and information extraction, • Design prompt strategies and validation logic for structured outputs, • Build reusable components for query generation and multi-source data integration, • Ensure robust, maintainable AI-powered workflows, • Design and deploy LLM-powered agents for recurring consulting tasks, • Build and maintain MCP servers to expose internal tools and data as callable resources, • Package custom skills and automation workflows for use within LLMs, • Architect multi-agent systems with specialized agents collaborating on complex tasks Requisitos principales, • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, • 2–5 years in applied AI, data engineering, or a consulting-adjacent technical role, • Strong Python programming skills with data processing and API integration, • Experience with REST APIs and structured data (JSON), • Hands-on experience with LLM APIs in real projects, • Prompt engineering, structured outputs, tool use patterns and error handling, • Practical knowledge of MCP server design and implementation, • Ability to manage multiple concurrent projects with autonomy, • Clear communication of technical concepts to business audiences, • Strong learning orientation and responsiveness to feedback, • Python (or R), SQL, data manipulation/visualization libraries, • REST APIs, JSON, • LLM APIs in real projects

Overview As a Data Engineer, you design, build and optimize data solutions for diverse client environments using Microsoft tech. You will join a cross-border DATA & AI team and shape data pipelines, data models and visualizations. You’ll implement DevOps practices to ensure reliable data workflows and delivery. This role combines hands-on engineering with collaboration across Switzerland and Spain, offering impactful work on modern data platforms. You’ll help drive data-driven decision making in a dynamic, learning-focused culture. Compensaciones / Beneficios • Flexible working hours, • Hybrid work from Barcelona or remote from anywhere in Spain, • Continuous learning and development support, • International environment, • Language courses in German, English, Catalan, • Opportunity to shape and create value Responsabilidades, • Collaborate with the DATA & AI team distributed across Switzerland and Barcelona on high-end projects., • Design, develop and implement data solutions using Microsoft technologies (Azure Synapse, Databricks, Azure Storage Account, SQL Server)., • Create and optimize data pipelines using Python and SQL., • Implement DevOps practices for data engineering, including CI/CD pipelines and version control., • Apply data modeling concepts such as snowflake and star schema., • Visualize data effectively using Power BI. Requisitos principales, • 5+ years of hands-on Data Engineer experience with a focus on Microsoft technologies., • Proficiency in Azure Synapse, Databricks, Microsoft Fabric, Azure Storage Account (Data Lake), and SQL Server., • Strong programming skills in Python and SQL., • DevOps experience for data engineering (CI/CD, version control)., • Knowledge of snowflake and star schema data modeling., • Ability to create insightful Power BI visualizations., • Excellent problem-solving and communication skills., • "Can do" mindset and proactive attitude., • Bachelor's or Master's degree in Computer Science, Engineering, or related field., • German level at least B2 and proficient English for collaboration., • EU citizen or valid Spanish work visa., • Excellent problem-solving, • Strong communication, • Proactive attitude, • Azure Synapse, • Databricks, • Microsoft Fabric

Overview As Senior Staff Software Engineer, you design and deliver features for Cloudera’s data engineering experience at scale, contributing to Spark and Livy while shaping the next generation of data tooling. You work with a distributed team across the US and Hungary to turn prototypes into production-grade capabilities that run on thousands of nodes. You’ll deepen expertise in distributed data processing and incubate improvements across the data engineering stack. This role offers the chance to impact enterprise-scale analytics in a hybrid, multi-cloud context. Compensaciones / Beneficios • Generous PTO Policy, • Flexible WFH Policy, • Continued Career Development, • Comprehensive Benefits, • Paid Volunteer Time, • Unplugged Days Responsabilidades, • Design and prototype new features for the data engineering experience, taking them through production delivery at scale, • Contribute to Apache Spark and Livy development, • Develop features in Scala/Java/Python on modern platforms, • Gain and apply distributed data processing knowledge (SQL planners/optimizers, data layouts, Parquet/Iceberg, fault tolerance), • Develop deep understanding of the Cloudera Data Engineering Experience stack with a focus on Iceberg and Spark, • Work on large-scale distributed systems in production clusters (hundreds to thousands of nodes), • Debug deployment issues, perform root-cause analysis, and conduct system test analysis, • Improve internal infrastructure and collaborate with team members and stakeholders Requisitos principales, • Bsc/Msc in related field or equivalent experience, • 6+ years of professional software development, • Experience leading and delivering complex product enhancements, • Strong knowledge of Java/Scala/Python; able to work with at least one of these languages, • Experience with distributed systems design and development, • Strong communication skills; ability to research and solve problems independently, • Open-minded with a willingness to learn and build great products, • Experience with distributed systems, • strong oral and written communication, • problem-solving independence, • collaboration and teamwork, • Java/Scala/Python proficiency, • Distributed systems design and development, • Apache Spark and Livy experience

Overview As a Senior Data Engineer, you will own end-to-end data pipelines that drive trusted analytics, ML/AI readiness, and scalable growth across Product, Marketing and Revenue. You’ll partner with stakeholders and Data Platform teams to model data and deliver self-serve analytics for business domains. This hybrid role blends data engineering with BI/reporting skills to empower data-driven decisions and governance. You’ll work with the modern data stack to keep pipelines performant and well-documented, fostering a data-driven culture. Compensaciones / Beneficios • flexible vacation, • generous parental leave, • mental wellbeing support, • physical health programs, • financial planning resources, • employee discounts Responsabilidades, • Design, build, and maintain end-to-end scalable data pipelines using Airbyte, Python and dbt; perform SQL-based transformations and ensure data quality for analysis, • Apply dimensional modeling to map business processes into enterprise data models, • Develop and support ETL infrastructure for clean, reliable data delivery, • Contribute to data architecture and strategy for pipeline deployment, • Collaborate with Data Platform Engineering to translate business logic into production pipelines, • Define best practices and scalable templates for dbt-based development, • Tune performance of models, pipelines, and data applications, • Foster data governance, privacy, security, and thorough documentation of pipelines and models, • Understand business processes and translate requirements into actionable data solutions, • Engage with stakeholders across the organization to drive insights and enable self-service analytics, • Scope and track projects in an Agile environment, • Mentor data engineering teammates and provide technical leadership, • Oversee top-of-funnel metrics for at least one Business Domain and maintain consistent usage across models, • Maintain strong documentation and data quality across domains Requisitos principales, • Bachelor’s degree in a related field, • 3+ years in data modeling, pipelines, and data warehousing (Snowflake preferred), • Advanced SQL and dbt proficiency; strong Python, • Experience with data ingestion & orchestration (Airbyte & Airflow) a plus, • Solid understanding of modern data engineering concepts (warehouses, pipelines, semantic layers) and cloud infrastructure, • Marketing domain knowledge, especially Paid Media metrics, • Ability to work independently and in cross-functional teams, • Strong communication, troubleshooting, and attention to detail, • Experience with BI/reporting tools (Qlik, Tableau, Power BI, Looker, Streamlit) a plus, • Experience with Agile methodology and JIRA a plus, • English fluency, • Collaborative mindset, • Strong communication for non-technical stakeholders, • Mentorship and technical leadership, • dbt, • SQL, • Python

Overview As a Data Foundations Analyst, you will help reshape how organizations leverage data to fuel analytics, AI, and agentic solutions within Supply Chain and Operations. You will build scalable, governed data assets and contribute to data-driven transformation initiatives. You’ll work with cross-functional teams to design AI-ready data products and ensure data quality and lineage. This role offers meaningful impact by enabling trusted data foundations that power analytics and AI across large-scale operations. Compensaciones / Beneficios • Health, life, and accident insurance, • Medical service and wellness programs, • Flexible compensation plan and share purchase program, • Flexibility programs (working hours, time off, holidays), • Individualized training path, • Sustainability programs and Accenture Foundation initiatives Responsabilidades, • Contribute to data-driven transformation initiatives focused on cleansing, harmonization, and enrichment, • Design and build reusable, governed, and AI-ready data products for analytics platforms and AI agents, • Support implementation of data governance frameworks, including definitions, quality rules, metadata, and lineage, • Operate and monitor AI-enabled data solutions ensuring accuracy and reliability, • Apply data modeling concepts to design scalable relational structures for supply chain analytics, • Build data pipelines and curated datasets using Python, Databricks, Power BI, SQL-based platforms, • Collaborate with data engineers, AI specialists, and business stakeholders to deliver robust data solutions, • Develop semantic layers, reporting structures, and self-service capabilities for applications and agentic systems Requisitos principales, • 1.5+ years of experience in data-related roles, • Hands-on experience in data, analytics, or AI via work, internships, or projects, • Strong interest in AI and agentic AI applied to data and business processes, • Data modeling concepts, SQL, relational data structures, • Understanding of data lifecycle and data management principles, • Familiarity with Python and/or analytics tools such as SQL-based platforms, Alteryx, Databricks, Power BI, • Strong analytical and problem-solving mindset, • Curiosity about data governance, quality, and harmonization, • Willingness to learn and work with complex data ecosystems, • Data modeling concepts, • SQL and relational data structures, • Data lifecycle and data management principles

Overview In this role, you own the CRM architecture and automation layer powering Amenitiz’s commercial engine across four markets. You’ll design the HubSpot data model, automation, and AI-powered workflows to remove manual work and ensure data accuracy, collaborating with Sales, CS, and Data to run the funnel end-to-end. You’ll drive data governance, integrations, and scalable processes that support GTM growth. This is a hands-on, cross-functional role that shapes how we convert leads into revenue at scale. Compensaciones / Beneficios • competitive salary, • stock options with progressive vesting, • comprehensive health insurance, • flexible benefits (meals, childcare, transportation, training), • on-demand salary access, • book and team library access Responsabilidades, • Own HubSpot CRM architecture, governance, and data standards to support scalable GTM operations, • Manage API integrations linking HubSpot with the broader GTM tech stack for clean data flows, • Maintain data hygiene across four markets and serve as the single source of truth, • Design and implement automation, including AI-powered workflows to reduce manual work and improve funnel efficiency, • Develop and maintain lead-scoring and routing logic for priority prospects, • Monitor, debug, and optimize automations to ensure reliability at scale, • Evaluate new automation tools and integrations to evolve the automation layer, • Document CRM playbooks and enable adoption across Sales, CS, and Data teams, • Build lightweight dashboards to monitor CRM data quality and automation performance, • Optimize end-to-end GTM workflows, including onboarding and handoffs between Sales and CS, • Partner with cross-functional teams to identify bottlenecks and implement automated fixes, • Segment and routing optimization to reflect segment differences in automation Requisitos principales, • 3+ years in CRM Administration, RevOps/Sales Ops, or Marketing Ops in SaaS or revenue-driven environments, • Deep HubSpot expertise with workflows, custom objects, automations, and API integrations, • API literacy with ability to read docs and design integration flows, • Experience with automation platforms (HubSpot, Zapier, Make, Workato) and scripting (Python) for edge cases, • SQL proficiency for reporting and data troubleshooting, • Understanding of subscription metrics (MRR, CAC, LTV, NRR) for metrics-aware automation, • Experience across multiple geographies or segments with varying maturity, • Fluency in English and at least one of: French, Italian, Spanish or Portuguese, • Nice to have: HubSpot certifications, data visualization tools (Looker/Tableau/Metabase), familiarity with AI-powered sales tools, • Git/GitHub familiarity for version-controlling automation scripts, • Background in high-volume SaaS, hospitality tech, or marketplaces, • Experience integrating CS operations with Sales operations, • cross-functional collaboration, • data-driven decision making, • problem solving, • HubSpot workflows, • Custom objects, • API integrations

Overview En SlashMobility buscas un perfil DevSecOps para potenciar la aceleración digital de un cliente clave. Trabajarás en un equipo senior, integrando seguridad y operaciones en la automatización de pipelines y despliegues. Con foco en impacto, participarás en infraestructuras y plataformas en la nube para grandes corporaciones en un entorno híbrido. Tu trabajo apoyará la modernización tecnológica y la entrega de soluciones de alto rendimiento. Te rodearás de talento experto y proyectos con alto grado de responsabilidad. Responsabilidades • Diseñar e implementar prácticas DevSecOps en la nube (AWS) y en pipelines CI/CD, • Gestionar infraestructura como código con Terraform, • Orquestar contenedores con Docker y Kubernetes, asegurando rendimiento y seguridad, • Trabajar con Helm para la gestión de paquetes y despliegues, • Automatizar pruebas de seguridad y performance en pipelines con Jenkins, • Escribir scripts en Python para automatización y monitoreo, • Colaborar con equipos de desarrollo y seguridad para resolver problemas complejos, • Participar en la entrega de soluciones para clientes de gran escala Requisitos principales, • Experiencia de 3 años en DevSecOps o roles similares, • Experiencia con AWS, • Experiencia con Terraform, • Docker y Kubernetes, • CI/CD con Jenkins, • Python, • Proactividad, • Compromiso, • Trabajo en equipo, • AWS, • Terraform, • Docker

Overview Innovative Robotics Developer to design and integrate robotic systems and software. You will work with cross-functional teams to automate tasks and deploy intelligent robotics solutions that enhance efficiency. You’ll develop control, perception, and navigation software while validating performance through simulations and tests. This role offers impact by advancing RFID-driven robotics within a global, collaborative environment. Compensaciones / Beneficios • Private Health Insurance, • Flexible remuneration: restaurant card and mobility card, • Flexible schedule with Fridays intensive hours, • Young and dynamic work environment, • New 4000sqm corporate building, • Specialty coffee and table tennis Responsabilidades, • Design, develop, maintain and test robotic systems and applications, • Write and maintain software for robot control, perception, navigation, and user interfaces, • Hardware management and robotics stock maintenance, • Collaborate with other engineers to build and refine robotic products, • Perform simulations and real-world testing to validate system performance, • Troubleshoot and optimise system behavior across environments, • Stay updated with robotics, AI, and automation developments Requisitos principales, • 2+ years experience in ROS and autonomous mobile robotics, • Fluency in Python or C++, • Fluency with ROS, • Bachelor’s or Master’s degree in Robotics, Computer Science, Engineering, or related field, • Knowledge/experience in RFID technology (a plus), • Knowledge/experience in frontend development with Vue (a plus), • Excellent written and verbal communication skills, • Strong problem-solving and ability to work independently or in a team, • Fluent in English; Spanish a plus, • EU resident or EU work permit and permanent residency, • communication, • problem-solving, • independent and team work, • ROS, • Python, • C++