Gerard Matas

Location & Work model: Barcelona | Hybrid Salary & Benefits: €100,000 - €120,000 gross per year + performance bonus, meal vouchers, flexible perks, and early Friday wrap-ups! What's the project? Our client is a highly established global manufacturing leader that produces specialized, science-backed materials for the consumer goods and B2B sectors. With a massive international footprint, they sit at the intersection of deep tech, complex formulation, and advanced chemistry. Right now, they are heavily investing in bringing cutting-edge technology into their traditional supply and manufacturing processes. The goal? To build state-of-the-art AI solutions, streamline global operations, and unlock high-impact data-driven products across their international ecosystem. You'll be jumping right into the heart of their digital transformation journey! And your role in this? As the Head of Data Office, you serve as the enterprise leader responsible for transforming data into a trusted strategic asset across the organization. Reporting directly to the Digital Transformation Director, your mission is to build and operate a robust Data Governance and Data Management framework from the ground up. You will bridge the gap between IT's technical platforms and the business's strategic priorities, ensuring that data is consistently governed, owned, and trusted across all functions. More specifically, you will: Set up and structure the enterprise Data Office, including recruiting required resources and providing direct line management for a team of 3 to 5 data professionals (including a Data Project Manager and Adoption Manager). Build, lead, and develop the enterprise network of Business Data Stewards, managing approximately 20 functional reports across various business domains. Define a strategic data roadmap alongside business stakeholders, ensuring strict alignment with AI use cases, as well as overarching SAP and PLM transformation programs. Establish enterprise-wide data governance policies, data quality standards, and metadata management processes, including the Business Glossary and Data Dictionary. Ensure the consistent management of critical business data across core enterprise applications, specifically working within a landscape that includes SAP S/4HANA, BW/4HANA, Salesforce, and Databricks. Ok, what should you bring? We’re looking for a seasoned data leader who thrives on building governance frameworks from scratch, values cross-functional collaboration, and knows how to drive real organizational change in a complex, global matrix. The Must-Haves: Experience: 8+ years of experience in Data Governance and Enterprise Data Management, including at least 5 years in a leadership role. Data & Tech Mastery: Strong expertise in managing data across multiple business domains and enterprise applications (SAP, Salesforce, Databricks, PLM). Matrix Leadership: Proven ability to influence senior stakeholders, coordinate governance committees, and manage both direct teams and functional data stewardship networks. Education: Master's degree in Information Systems, Computer Science, Engineering, Business Information Management, or a related field. Languages: Professional fluency in English. The Nice-to-Haves: Professional proficiency in French is strongly preferred and will be highly valuable for collaborating with key regional teams. Experience in process manufacturing, consumer goods, life sciences, or other complex B2B industrial environments. Solid understanding of data governance regulations and compliance requirements, including GDPR. Is that it? Not quite! Beyond the work itself, here is a glimpse into the vibe, package, and reality of the role: The Target & Challenge: Driving enterprise-wide data governance in an established, complex company requires exceptional change management skills. You will need to promote data literacy, build strong business partnerships to establish data ownership, and resolve cross-functional data quality issues smoothly. The Salary & Package: A fixed annual salary ranging between €100,000 and €120,000 + a performance bonus, accompanied by a permanent contract from day one, meal vouchers, flexible compensation options (like childcare vouchers), and comprehensive life and accident insurance. The Vibes: Stable, inclusive, and grounded in long-term human values. The culture favours balance: expect shorter working days on Fridays, generous vacation time, and a supportive team atmosphere that respects your time off as much as your hard work.

Ubicación y modelo de trabajo: Alcalá de Henares, Madrid. Modelo híbrido (3 días presenciales en oficina / 2 días de teletrabajo). Jornada intensiva durante los meses de julio y agosto. El proyecto: Plataformas avanzadas de gestión de servicios de campo para entorno B2B. Rango salarial: Entre 26.000 € y 30.000 € brutos anuales, según valía y experiencia aportada. Sobre la oportunidad Buscamos incorporar un perfil técnico especializado en datos, con agilidad comercial y una elevada capacidad de aprendizaje. Si cuentas con experiencia en estructuración de bases de datos, dominio de SQL para procesos de migración y habilidades interpersonales para acompañar a los clientes en su incorporación tecnológica, esta oportunidad te interesará. Sobre el proyecto Formarás parte de un equipo enfocado en las integraciones técnicas para una compañía referente internacional, que da soporte a más de 2.000 clientes en más de 40 países. Integrado en un área de tres personas, trabajarás con bases de datos complejas asegurando puestas en marcha óptimas. Tu objetivo será asimilar la arquitectura del producto con rapidez y consolidarte como un referente técnico dentro del departamento. Responsabilidades principales Trabajarás en el punto de encuentro entre la gestión técnica de datos y la entrega de soluciones al cliente final: Gestión y tratamiento de datos (≈ 60%): Extracción, limpieza, transformación y validación de datos procedentes de sistemas heredados para su correcta migración. Gestión de SQL: Diseño, desarrollo y mantenimiento de scripts SQL y procesos ETL orientados al mapeo de información. Se fomenta el uso de herramientas de Inteligencia Artificial para optimizar la eficiencia operativa, partiendo siempre de un sólido criterio técnico personal. Aseguramiento de la calidad: Ejecución de pruebas de calidad, deduplicación de registros y documentación técnica de los procesos de mapeo para auditorías. Implementación y capacitación (≈ 40%): Configuración de flujos de trabajo de la plataforma según requerimientos del cliente e impartición de sesiones formativas (tanto remotas como presenciales). Soporte técnico especializado: Acompañamiento en el periodo de puesta en marcha (hypercare) y resolución de incidencias complejas de datos directamente en el backend. Requisitos del perfil Requisitos imprescindibles: Experiencia profesional: Entre 2 y 5 años (o superior) en roles de migración de datos, implementación o consultoría técnica, preferiblemente en entornos B2B SaaS. Dominio de bases de datos y SQL: Sólida capacidad de resolución de problemas mediante consultas en bases de datos relacionales. Imprescindible manejo fluido de sentencias relacionales (SELECT, JOINs, INSERT, UPDATE) y comprensión estructural del modelo de datos. Capacidad de aprendizaje estructurado: Mentalidad analítica y estructurada que permita asimilar rápidamente el funcionamiento de una plataforma compleja (se contempla completar la fase de onboarding en un máximo de 3 meses). Habilidades de comunicación: Competencia para actuar como formador técnico, traduciendo conceptos complejos a usuarios no técnicos y gestionando múltiples proyectos de forma paralela. Requisitos valorables: Uso de IA: Interés o experiencia en el uso de herramientas de Inteligencia Artificial aplicadas al análisis de datos y optimización de consultas. Manejo de Excel: Manejo avanzado de Excel (fórmulas avanzadas, tablas dinámicas y análisis) para la preparación de grandes volúmenes de información. Formación: Experiencia previa impartiendo formaciones de software a clientes finales. Información adicional del proceso El reto: Se requiere una alta capacidad de abstracción para conectar conceptos técnicos y adquirir un nivel operativo sólido en el menor tiempo posible. Plan de acogida: Contarás con un proceso estructurado de onboarding que incluye material formativo, documentación interna y acompañamiento por parte del equipo. Evaluación técnica: Como parte del proceso de selección, se realizará una prueba práctica de SQL en directo (compartiendo pantalla) para validar tus conocimientos en consultas relacionales y estructuración lógica.  

Location & Work model: Barcelona | Hybrid Salary & Benefits: €40,000 - €50,000 gross per year + meal vouchers, flexible perks, and early Friday wrap-ups! What's the project? Our client is a world-renowned, family-owned global leader with over 150 years of history in the fragrance, flavor, and ingredient industry. With an active footprint spanning over 41 countries, they sit at the intersection of science, sensory art, and deep tech. Right now, they are heavily investing in bringing cutting-edge technology into traditional formulation, chemistry, and supply processes. The goal? To build state-of-the-art AI solutions, streamline global operations, and unlock high-impact data-driven products across their international ecosystem. You'll be jumping right into the heart of their digital transformation journey! And your role in this? As the Junior AI & ML Engineer, you will be a key contributor to the end-to-end machine learning lifecycle. Working closely alongside senior engineers within the digital and data team, you will apply engineering rigor to help build, test, and scale reliable systems that solve real-world R&D challenges. Your main mission is to support the team in turning complex AI concepts into viable, scalable, and operationally sound products. You will actively participate in the design, development, and automation of workflows, learning modern best practices while ensuring everything runs smoothly and predictably. More specifically, you will: Contribute high-quality code for data, modeling, and deployment pipelines under the guidance of senior technical team members. Support the implementation and maintenance of MLOps workflows, focusing on automated CI/CD, containerization, and model monitoring. Participate in the technical design and optimization of scalable AI solutions, aligning your work with modern software engineering best practices. Work within an Agile framework to help translate research into predictable production value while maintaining compliance with data guidelines. Collaborate with technical teammates to better understand business challenges and transform them into technical requirements. Ok, what should you bring? We’re looking for a passionate, growth-minded engineer who loves the challenge of productionizing AI, values clean code, and is eager to develop their skills alongside a world-class team. The Must-Haves: Experience: Initial hands-on experience or relevant academic/project background in IT or Engineering, focusing on AI/ML and software development. Technical Foundation: Solid proficiency in Python and a strong understanding of foundational AI/ML algorithms, architectures, and data engineering basics. MLOps & Cloud Exposure: Basic familiarity or exposure to tools like Azure ML, Databricks, CI/CD pipelines, Docker, or cloud-based deployment environments. Delivery Muscle: Experience working in Agile environments with the ability to clearly communicate technical concepts and collaborate effectively within a team. Languages: Full professional proficiency in English. The Nice-to-Haves: French fluency is strongly preferred and will make collaborating with key regional teams a breeze! Prior exposure to chemistry, formulation, or the fragrance & flavor industry. Is that it? Not quite! Beyond the work itself, here is a glimpse into the vibe, package, and reality of the role: The Target & Challenge: Building AI tools for a heritage industry isn't always easy—you'll need to navigate cross-functional dynamics, learn quickly from your peers, and help bring diverse teams along on the digital journey. The Salary & Package: A fixed annual salary ranging between €40,000 and €50,000, accompanied by a permanent contract from day one, meal vouchers, flexible compensation options (like childcare vouchers), and comprehensive life and accident insurance. The Vibes: Stable, inclusive, and grounded in long-term human values. The culture favours balance: expect shorter working days on Fridays, generous vacation time, and a supportive team atmosphere that respects your time off as much as your hard work.

Location & Work model: Barcelona | Hybrid Salary & Benefits: €60,000 - €70,000 gross per year + meal vouchers, flexible perks, and early Friday wrap-ups! What's the project? Our client is a world-renowned, family-owned global leader with over 150 years of history in the fragrance, flavor, and ingredient industry. With an active footprint spanning over 41 countries, they sit at the intersection of science, sensory art, and deep tech. Right now, they are heavily investing in bringing cutting-edge technology into traditional formulation, chemistry, and supply processes. The goal? To build state-of-the-art AI solutions, streamline global operations, and unlock high-impact data-driven products across their international ecosystem. You'll be jumping right into the heart of their digital transformation journey! And your role in this? As the Senior AI & ML Engineer, you are the technical backbone of the end-to-end machine learning lifecycle. You’ll sit right at the core of the digital and data team, applying deep engineering rigor to build and scale reliable systems that solve real-world R&D challenges. Your main mission is to make sure complex AI concepts turn into viable, scalable, and operationally sound products that actually solve real-world problems. You will own the technical design, development, and automation workflows, ensuring everything runs smoothly, securely, and predictably. More specifically, you will: Deliver high-quality code for data, modeling, and deployment pipelines, ensuring AI solutions are integrated into robust software architectures. Implement and maintain robust MLOps workflows, focusing on automated CI/CD, containerization, and model observability. Lead the technical design, development, and optimization of scalable, maintainable AI solutions aligned with modern best practices. Work within an Agile framework to translate research into predictable production value while ensuring compliance with data privacy, security, and ethical AI guidelines. Partner with technical and business stakeholders to translate complex business challenges into clear technical requirements. Ok, what should you bring? We’re looking for a seasoned engineering mind who loves the challenge of productionizing AI, values clean code, and can talk tech with data scientists just as easily as strategy with business stakeholders. The Must-Haves: Experience: 5+ years of experience in IT or Engineering, with significant hands-on experience in AI/ML and technical leadership. Technical Excellence: Advanced proficiency in Python and strong knowledge of AI/ML algorithms, architectures, and data engineering best practices. MLOps & Cloud: Hands-on experience with Azure ML or Databricks, CI/CD pipelines, Docker, and monitoring AI systems in production. Delivery Muscle: Experience working in Agile environments with the ability to clearly communicate technical concepts to both tech and non-tech stakeholders. Languages: Full professional proficiency in English. The Nice-to-Haves: French fluency is strongly preferred and will make collaborating with key regional teams a breeze! Prior exposure to chemistry, formulation, or the fragrance & flavor industry. Is that it? Not quite! Beyond the work itself, here is a glimpse into the vibe, package, and reality of the role: The Target & Challenge: Building AI tools for a heritage industry isn't always easy—you'll need to navigate cross-functional dynamics, manage dependencies early, and bring diverse teams along on the digital journey. The Salary & Package: A fixed annual salary ranging between €60,000 and €70,000, accompanied by a permanent contract from day one, meal vouchers, flexible compensation options (like childcare vouchers), and comprehensive life and accident insurance. The Vibes: Stable, inclusive, and grounded in long-term human values. The culture favours balance: expect shorter working days on Fridays, generous vacation time, and a supportive team atmosphere that respects your time off as much as your hard work.

Location & Work model: Barcelona | Hybrid Salary & Benefits: €80,000 - €90,000 gross per year + 10% performance bonus, meal vouchers, flexible perks, and early Friday wrap-ups! What's the project? Our client is a world-renowned, family-owned global leader with over 150 years of history in the fragrance, flavor, and ingredient industry. With an active footprint spanning over 41 countries, they sit at the intersection of science, sensory art, and deep tech. Right now, they are heavily investing in bringing cutting-edge technology into traditional formulation, chemistry, and supply processes. The goal? To build state-of-the-art AI solutions, streamline global operations, and unlock high-impact data-driven products across their international ecosystem. You'll be jumping right into the heart of their digital transformation journey! And your role in this? As the AI Engineering & Platform Lead, you are the central technical authority driving the industrialization, architecture, and governance of global AI capabilities. You’ll sit right at the core of the digital and data team, applying deep engineering rigor and strategic vision to build and scale enterprise-grade systems that solve real-world R&D challenges. Your main mission is to make sure complex AI concepts turn into viable, scalable, and operationally sound platforms that power high-impact products. You will own the overall technical architecture, enterprise infrastructure integration, and engineering governance workflows, ensuring everything runs smoothly, securely, and predictably. More specifically, you will: Define the strategic technical roadmap for the enterprise AI platform (Azure ML, Databricks) and design scalable frameworks for LLMs, Computer Vision, and Predictive Analytics. Ensure robust integration of AI solutions within the global IT landscape, security frameworks, and data infrastructure. Lead, mentor, and inspire a cross-functional team of Data Scientists and AI/ML Engineers, fostering technical excellence and continuous growth. Establish enterprise-wide MLOps/LLMOps standards, ensuring strict compliance with data privacy, security, and ethical AI guidelines. Coordinate technical resource allocation for global projects and partner with stakeholders to translate complex business challenges into clear technical strategies. Ok, what should you bring? We’re looking for a seasoned technical visionary and leadership mind who loves the challenge of productionizing enterprise AI, values robust architecture, and can align high-velocity engineering teams with strategic business goals. The Must-Haves: Experience: 8+ years of experience in IT or Engineering, with proven leadership in AI, machine learning, or data-driven platforms within complex environments. Technical & Platform Excellence: Strong expertise in enterprise AI environments (Azure ML, Azure Databricks) and advanced production MLOps/LLMOps practices. Architecture & Security: Solid understanding of infrastructure, data platforms, enterprise networking, and complex security integration. Delivery Muscle & Leadership: Proven experience managing technical teams, guiding agile practices, and successfully navigating matrixed, multinational organizations. Languages: Full professional proficiency in English. The Nice-to-Haves: French fluency is strongly preferred and will make collaborating with key regional teams a breeze! Prior exposure to chemistry, formulation, or the fragrance & flavor industry. Is that it? Not quite! Beyond the work itself, here is a glimpse into the vibe, package, and reality of the role: The Target & Challenge: Building AI tools for a heritage industry isn't always easy—you'll need to navigate cross-functional dynamics, manage high-level dependencies early, and bring diverse international teams along on the digital journey. The Salary & Package: A fixed annual salary ranging between €80,000 and €90,000 + a 10% performance bonus, accompanied by a permanent contract from day one, meal vouchers, flexible compensation options (like childcare vouchers), and comprehensive life and accident insurance. The Vibes: Stable, inclusive, and grounded in long-term human values. The culture favours balance: expect shorter working days on Fridays, generous vacation time, and a supportive team atmosphere that respects your time off as much as your hard work.

Salary: €80K – €150K Industry: Health-Tech / AI Location: Remote-First (Spain/UK) with a vibrant hub in Barcelona Stack: Python, FastAPI, asyncio, pydantic, RAG, Multi-agent LLMs, GCP, Redis, Postgres, Docker, Kubernetes, OTEL The Company You will be joining a high-growth Health-Technology venture based in Barcelona that has just hit a major inflection point. They are the innovators behind a cutting-edge AI assistant that acts as a digital partner for clinical teams, recently going live with major health systems across Europe. They are scaling rapidly to meet significant healthcare contracts, moving from MVP to large-scale production. This is an international team of clinical experts and elite engineers who believe AI should solve mission-critical medical problems in real-time. If you want to build the technical foundation of a future leader in healthcare AI, this is your moment. The Role As an AI Engineer (Backend), you will take end-to-end ownership of Cortex, the core AI "brain" architecture powering the entire platform. This is a backend-first role—your mission is to make the AI systems incredibly reliable, ultra-fast, compliant, and deeply observable in production, rather than inventing new ML models from scratch. In this high-autonomy role, you will collaborate directly with a tight-knit, best-in-class AI team to solve some of the hardest challenges in the industry: real-time voice AI, automated AI audits, patient simulators, and safety-critical escalation systems in a highly regulated medical environment. Your Responsibilities Scale & Own "Cortex": Architect, deploy, and maintain robust, modular backend systems using clean architectural principles (SOLID, Clean/Hexagonal Architecture, DDD). Manage service boundaries, reliability targets, and proactively mitigate failure modes. Orchestrate Multi-Agent Systems: Wire up complex multi-agent orchestration, managing routing between agents, shared state, and clean tool interfaces. Optimize the RAG Pipeline: Engineer high-signal retrieval layers (chunking, hybrid search, re-ranking, caching) and relentlessly prove that grounding holds. Build Platform Infrastructure: Develop automated audit/eval pipelines and patient simulators to stress-test agents at scale before they ever hit production. Master Production Engineering: Write lightning-fast, well-tested Python services utilizing FastAPI, asyncio, and pydantic while optimizing queues, caching, and data stores. Drive Deep Observability: Implement OTEL-first tracing across the agent graph, tracking cost, latency, token visibility, and configuring CI gates to catch regressions before they ship. What You Need Minimum Qualifications Backend Core: 3–5+ years of software engineering experience with expert-level Python, FastAPI, asyncio, and pydantic. You care deeply about how your code behaves in production. Proven AI Track Record: At least 2+ years of demonstrable experience building, scaling, and taking user-facing AI/LLM applications from MVP (0) to production (1). Architectural Depth: Deep understanding of architectural design patterns (SOLID, Event-Driven, DDD) to manage complex system boundaries. Startup DNA: You thrive in high-intensity, fast-moving environments and know what wearing several hats actually costs. Autonomy: A self-starter who excels with minimal supervision—moving easily between managing agent patterns, eval-driven development, and production software. Nice to Have Real-Time & Voice: Experience with WebRTC, LiveKit, SIP, VAD, barge-in, or turn-taking. Advanced LLM Tooling: Programmatic prompt optimization techniques and LLM-as-judge evaluation setups. Cloud & DevOps: Familiarity with GCP (Cloud Run, GKE, Pub/Sub, Vertex AI, Cloud Logging/Trace) and infrastructure tools like Terraform or ArgoCD. Industry Savvy: Prior experience handling healthcare data or working within highly regulated/compliant frameworks. Example Problems You'll Tackle Stand up the AI audit pipeline so evals run automatically on slices of production traffic, with regression gates wired into CI. Build a patient simulator that lets the team stress-test agents at scale before they ever reach a real medical call. Turn complex EHR (Electronic Health Record) integrations into highly reliable, deterministic tools that the agents can safely call. What's in it for You? Meaningful Impact: You aren't just building a generic chatbot; you are engineering safety-critical systems that actively improve how healthcare is delivered. High-Level Ownership: As an early hire, you will shape the technical foundation of a fast-growing startup and tackle genuinely difficult engineering hurdles. Flexible Setup: Enjoy a European remote-first model, backed by occasional visits to a vibrant, high-energy office hub in Barcelona. Flat Hierarchy: Work closely alongside clinical experts and elite engineering talent in an environment free of corporate bureaucracy.