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Hay proyectos de datos donde el reto no está solo en mover información de un sitio a otro. Está en diseñar pipelines que escalen, modelos que respondan bien bajo carga, procesos robustos de ingesta y transformación, y plataformas que permitan convertir datos en decisiones con impacto real. En NTT DATA buscamos una persona con experiencia en Data Engineering para participar en proyectos de transformación digital donde se combinan procesamiento distribuido, arquitecturas cloud, automatización, DevOps y trabajo con equipos multiculturales. Trabajarás con tecnologías como Apache Spark, Databricks, MongoDB, Delta Lake, Apache Airflow, Azure Data Factory, Git y CI/CD, dentro de proyectos donde la calidad técnica, la eficiencia y la capacidad de resolver problemas complejos son clave. NTT DATA es una consultora multinacional que ofrece soluciones tecnológicas, de negocio, estrategia, desarrollo y mantenimiento de aplicaciones. En nuestras áreas de tecnología digital acompañamos a grandes organizaciones en su transformación, conectando estrategia, tecnología y diseño con un enfoque práctico y orientado al negocio. Buscamos personas con curiosidad permanente, pasión por la tecnología, excelencia constante y visión estratégica. Qué harás: 🔹 Diseñar, desarrollar y optimizar procesos de data ingestion, transformación y orquestación sobre entornos cloud y plataformas modernas de datos. 🔹 Trabajar con Apache Spark sobre Databricks para procesamiento distribuido de grandes volúmenes de información. 🔹 Diseñar y optimizar esquemas NoSQL en MongoDB, poniendo foco en rendimiento, escalabilidad y mantenibilidad. 🔹 Construir pipelines con Delta Lake, Apache Airflow y Azure Data Factory, asegurando trazabilidad, calidad y eficiencia. 🔹 Aplicar prácticas de CI/CD, versionado con Git y automatización en proyectos de ingeniería de datos. 🔹 Colaborar con equipos multidisciplinares en contextos Agile y DevOps, aportando criterio técnico y capacidad de resolución. 🔹 Identificar mejoras de rendimiento, calidad y productividad en las soluciones de datos. 🔹 Compartir buenas prácticas con el equipo y ayudar a elevar el nivel técnico de las soluciones. Qué buscamos: ✅ Experiencia mínima de 4 años en ingeniería de datos, big data o desarrollo de pipelines cloud. ✅ Experiencia sólida con Apache Spark y Databricks. ✅ Conocimiento en diseño de esquemas, optimización y rendimiento en MongoDB / NoSQL. ✅ Experiencia con Delta Lake, Apache Airflow y Azure Data Factory. ✅ Buenas prácticas de CI/CD, Git, DevOps y trabajo Agile. ✅ Capacidad para analizar problemas complejos, proponer soluciones técnicas y trabajar con autonomía. ✅ Mentalidad colaborativa para trabajar en equipos multiculturales. ✅ Nivel de inglés suficiente para colaborar en entornos internacionales. Qué encontrarás en NTT DATA: 🧠 Proyectos donde la ingeniería de datos no es una capa secundaria, sino una pieza clave de la transformación digital. ☁️ Trabajo con plataformas cloud, arquitecturas distribuidas y tecnologías orientadas a construir soluciones robustas y escalables. 🎓 Acceso a NTT DATA University, con formación técnica, metodológica, idiomas y soft skills, además de certificaciones bonificadas en proveedores cloud como AWS, Azure o GCP y otras tecnologías. 🤝 Equipos diversos, cercanos y con cultura de aprendizaje compartido. 🚀 Un entorno donde podrás crecer técnicamente, asumir retos reales y participar en soluciones end-to-end con impacto en grandes organizaciones. 🌍 Una cultura que valora cada voz, la colaboración y la innovación con propósito. Beneficios En NTT DATA valoramos el bienestar de cada persona de forma integral, con beneficios pensados para mejorar el equilibrio entre vida personal y profesional. 🌱 Flexibilidad y conciliación: modelo de teletrabajo preferente híbrido y flexible. 🏡 Ayuda Flex Teletrabajo: compensación de parte de los gastos extra vinculados al teletrabajo y a determinadas jornadas presenciales. 🎓 Financiación a la formación y acceso a opciones de aprendizaje continuo. 💳 Retribución flexible, guardería por retribución flexible, portal de ofertas y ventajas en productos de seguros y bancarios. 🏥 Seguro médico corporativo, con cobertura para ti y parte de tus beneficiarios. 🛡️ Seguro de vida y accidentes. 🧘 Programas de salud mental y actividades deportivas. 🌊 Actividades sociales y solidarias para crear comunidad y generar impacto positivo. Cómo trabajamos: Creemos que crecer no es solo avanzar, sino hacerlo en el lugar adecuado. Por eso impulsamos una cultura donde puedas aprender, compartir conocimiento y participar en proyectos que combinan tecnología, negocio e innovación. Nuestros pilares ponen el foco en pertenecer, desarrollarse e innovar, con una mentalidad de aprendizaje continuo y soluciones tecnológicas end-to-end. Make THIS the place to grow

Data Engineer (Databricks, Python, Spark) At Hays, we are partnering with a leading global company in the financial services and investment management sector to find an experienced Data Engineer to join a strategic data transformation project. This is an exciting opportunity to work with international teams, modern cloud technologies, and large-scale financial datasets, helping build and enhance a key data platform that supports critical investment operations and analytics. What you will do • Design, develop, and maintain scalable data pipelines using Databricks., • Build Big Data solutions with Spark, PySpark, and cloud technologies., • Collaborate with global investment and technology teams to deliver data-driven solutions., • Support business stakeholders with data insights and reporting., • Contribute to best practices, CI/CD processes, and continuous improvement initiatives., • Explore and leverage AI and LLM technologies to enhance platform capabilities. What we are looking for • 3+ years of Data Engineering experience including 2+ years designing and building Databricks data pipelines is required., • 2+ years of hands-on Python/Pyspark/SparkSQL and/or Scala experience, • 2+ years of experience with Big Data pipelines or DAG Tools (Data Factory, Airflow, dbt, or similar), • 2+ years of Spark experience (especially Databricks Spark and Delta Lake), • 2+ years of hands-on experience implementing Big Data solutions in a cloud ecosystem, including Data/Delta Lakes, • Azure cloud is highly preferred, however will consider AWS, GCP or other cloud platform experience in lieu., • Experience with AI, LLMs, Databricks Genie or similar tools is required, • 2+ years of SQL experience, specifically to write complex, highly optimized queries across large volumes of data is highly desired, • Experience working in a controlled environment with Github and CI/CD release pipelines is highly desired, • Experience with financial data providers such as Bloomberg in an asset/investment management firm or other financial service company is a plus., • Experience with conceptual, logical and/or physical database designs is a plus, • Must be comfortable speaking English, • A positive attitude and a ‘can do’ mentality are essential What We Offer • Hybrid and flexible working model: only 1 day per week on-site at the Barcelona office (Via Augusta), • Opportunity to join a high-impact global data transformation program within a leading international financial services organization 💡 If you're passionate about building impactful solutions and want to be part of a collaborative, forward-thinking team, we’d love to hear from you.

🎯Data Engineer Senior (Azure & Databricks) – Sector Seguros Ubicación: Un día presencial en oficina de Barcelona Buscamos perfiles de Data Engineers para unirse a un proyecto estratégico de larga duración en el sector de los seguros. Se trata de un proyecto desde cero de migración y construcción de una plataforma de datos moderna utilizando el stack de Databricks. Tu misión será liderar el diseño y la construcción de Data Marts anonimizados dentro de una plataforma de datos corporativa de última generación, asegurando los más altos estándares de calidad, seguridad y cumplimiento. 🛠️ ¿Qué harás? • Diseñar y construir Data Marts robustos dentro de un ecosistema Cloud., • Desarrollar documentación técnica exhaustiva y metodologías de gestión de datos., • Optimizar jobs en Apache Spark y gestionar flujos de trabajo en Databricks., • Garantizar la calidad del dato mediante pruebas, CI/CD y mejores prácticas de ingeniería de software., • Implementar protocolos de anonimización para asegurar el cumplimiento normativo. 👨 💻 Perfil buscado • Experiencia: Mínimo 4 años en roles de Data Engineering., • Cloud: Dominio experto de Azure (Data Factory, ADLS)., • Databricks: Conocimiento avanzado (Delta Lake, Workflows, Spark Optimization)., • Lenguajes: Programación experta en Python (PySpark) y SQL sólido., • Arquitectura: Trayectoria probada en entornos Lakehouse / Medallion., • Ingeniería: Sólidos conocimientos en CI/CD y control de versiones., • Idiomas: Inglés fluido (nivel C1 escrito y hablado). 🤝 Habilidades Clave • Mentalidad proactiva y gran capacidad para la resolución de problemas técnicos., • Foco en la escritura de Clean Code y código mantenible., • Atención al detalle y capacidad para trabajar de forma independiente. 📍 Condiciones • Ubicación: Barcelona (Modelo Híbrido)., • Viajes: No requeridos., • Proyecto: Impacto directo en la estrategia de datos de una gran corporación. 💙 ¿Por qué unirte a Extia? En Extia creemos firmemente en nuestro lema: “Who first, then what.” Primero la persona, después el proyecto. ✨ Flexibilidad real – Modelo adaptado a tu proyecto y equilibrio vida personal/profesional 📚 Plan de formación personalizado – Diseñamos contigo tu roadmap de evolución 🤝 Triple Seguimiento – Un Coach, un Manager y un HR siempre a tu lado. 🎁 Paquete de beneficios competitivo – Seguro Médico (incl. Fisioterapia y Psicología) + Ticket Restaurante + Transporte 🌍 Entorno internacional – Más de 3.000 colaboradores en Europa y Canada 🏆 Great Place to Work – Cultura basada en cercanía, transparencia y acompañamiento real 🎉 Eventos, afterworks y comunidad activa – Team buildings, acciones solidarias, meetups, celebraciones internas… ¡Nos gusta compartir más allá del trabajo! 📩 ¿Te interesa o conoces a alguien? Si buscas un nuevo reto en datos donde tu experiencia cuente desde el primer día, ¡estamos deseando conocerte! #Firstwhothenwhat

Senior Backend Developer (Delta Team) About the company Biorce is a pioneering Healthtech company dedicated to revolutionizing drug development through the power of AI.We are passionate about accelerating medical advancements and improving patient outcomes.Our team comprises seasoned clinical res

Accenture, recognized as a Great Place To Work, is a leading global professional services company that helps major businesses, public administrations, and other organizations around the world develop their digital core, optimize their operations, accelerate revenue growth, and improve services for citizens, creating tangible value at speed and scale.We are looking for Data & AI professionals to join our Data & AI ecosystem, working on global initiatives for reference clients across financial services, life sciences and pharma, public sector organizations, and large international companies—many of them recognized as Accenture success stories.The role is based in Barcelona under a hybrid work model, combining remote work with on‑site collaboration at the office to foster strong team synergies.Candidates must reside in Spain and hold a valid work permit for Spain.Functions:Design, build, and evolve data and analytics solutions on cloud platforms such as AWS, Azure, or GCP, using technologies including Databricks, Snowflake, BigQuery, and Synapse.Develop and operate scalable, production‑grade data pipelines using Spark, Kafka, Airflow, dbt, and Delta Lake.Contribute to advanced analytics, machine learning, and Generative AI use cases, including LLM‑based architectures, RAG solutions, and intelligent agents.Collaborate with multidisciplinary teams to deliver end‑to‑end data‑driven solutions from design through production.Responsibilities:Define and implement data and AI architectures aligned with business requirements and Accenture technical standards.Deliver end‑to‑end solutions, from data ingestion and modeling to analytics consumption and production deployment.Apply and continuously improve best practices in Data Engineering, Analytics, MLOps, and LLMOps.Actively participate in global technical communities and innovation initiatives within the Data & AI ecosystem.Requisitos imprescindibles:Minimum 3 years of professional experience in Data, Analytics, Machine Learning, or AI projects.Minimum 3 years of professional experience in at least one of the following technology areas:Cloud and data platforms: AWS, Azure, GCP, Databricks, Snowflake, BigQuery, or Synapse.Data engineering and processing: Spark, Kafka, Airflow, dbt, or Delta Lake.Analytics and BI: Power BI, Tableau, or Looker.Professional experience working with production environments and enterprise‑scale projects.Residence in Spain and legal authorization to work in Spain.Requisitos valorables:Experience with Generative AI and LLM technologies such as Azure OpenAI, OpenAI APIs, Hugging Face, LangChain, RAG, or intelligent agents.Experience with Customer and Marketing Data platforms such as Adobe or Salesforce.Experience in international projects or multicultural environments.Official cloud certifications (AWS, Azure, or Google Cloud).At Accenture, a company recognized as a Great Place To Work, we are committed to a hybrid work model that, supported by technology and our offices, helps us maintain the essential human connection needed to work with our teams and clients. This connection enables us to sustain our culture of inclusion and diversity and to be recognized by Refinitiv as the most diverse company in the world.Additionally, we offer benefits such as:Medical, life, and accident insuranceMedical services and wellbeing programsFlexible compensation program and employee share purchase planFlexibility programs (working hours, days off, vacation options)Individualized learning and development pathSustainability programs and Accenture FoundationEmployee diversity networksAdditional benefits such as Bankinter office with special conditions and profit sharingAbout AccentureAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.Visit us at Declaración de igualdad de oportunidades en el empleoCreemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.SummaryLocation: Barcelona, La RotondaType: Full time

Job-ID: bc98de16-39bc-4004-9f8b-757b7b496a94Reference: J-4353Location: Barcelona, SpainJob type: Full-time, HybridSalary: 60.000 - 75.000 brutos anualesCategory: DataStack: Python, Azure, Databricks, Kafka, MLOpsContact: david.carbonell@akuaro.com, tatiana@akuaro.com, claudio@akuaro.comUna empresa líder en su sector industrial europeo busca un Data Engineer Senior para unirse a su nueva Oficina de Transformación Digital.Esta es una oportunidad única para tener un impacto significativo en la estrategia de datos e inteligencia artificial de una compañía con un sólido backlog de iniciativas estratégicas. Te enfocarás en proyectos que buscan mejorar la producción, la eficiencia energética y la logística, generando un valor económico sustancial.No se trata de una posición de mantenimiento de ETLs rutinarios, sino de construir y evolucionar la plataforma de datos que conectará los sistemas industriales con un entorno cloud moderno. Serás parte fundamental en el diseño y despliegue de soluciones innovadoras, estableciendo las bases para productos de datos avanzados y modelos de Machine Learning.Te incorporarás a un equipo interno de nueva creación, colaborando inicialmente con partners tecnológicos internacionales para una transferencia de conocimiento fluida, asumiendo progresivamente el liderazgo de las soluciones desarrolladas. Tu misión será clave en la implementación de la ingeniería de datos en un contexto industrial.ResponsibilitiesDiseñar, construir y operar pipelines de datos fiables y escalables, integrando sistemas industriales con la plataforma corporativa de datos.Ingestar información industrial (sensores, PLC, MES) desde Kafka hacia Azure y Databricks.Desarrollar pipelines sobre arquitecturas Lakehouse / Medallion (capas Bronze, Silver, Gold), gestionando procesamiento batch, microbatch y streaming.Integrar datos de planta con información corporativa, aplicando buenas prácticas de calidad, observabilidad y trazabilidad.Gestionar grandes volúmenes de datos, incluyendo retos como datos retrasados, duplicidades y reintentos.Colaborar en el gobierno del dato mediante herramientas específicas y participar en la automatización de infraestructura y despliegues.Construir productos de datos reutilizables, mantenibles y bien documentados.Trabajar estrechamente con Data Scientists para la puesta en producción y reentrenamiento de modelos de Machine Learning.RequirementsExperiencia sólida en el diseño, construcción y mantenimiento de pipelines de datos en producción.Dominio de Python y SQL para el desarrollo de soluciones de datos.Experiencia práctica con Spark, Databricks o plataformas Lakehouse equivalentes.Conocimiento avanzado de arquitecturas ETL/ELT y procesamiento de grandes volúmenes de datos.Experiencia con plataformas cloud, preferentemente Microsoft Azure.Capacidad demostrada para desarrollar soluciones mantenibles, documentadas y escalables.Un perfil hands-on, con interés tanto en el diseño de arquitecturas como en la implementación.Habilidades de colaboración con equipos técnicos, stakeholders de negocio y expertos industriales.Nivel profesional alto de inglés, tanto hablado como escrito.Indispensable disponer de vehículo propio para desplazamientos regulares a las instalaciones, ubicadas en una zona industrial del Vallés Occidental.Se valorará muy positivamente:Experiencia específica con Azure Databricks, Spark Structured Streaming y Delta Lake.Conocimiento de Kafka y otras tecnologías de streaming o mensajería.Experiencia con arquitectura Medallion (Bronze, Silver, Gold).Manejo de Terraform, Azure DevOps y procesos de CI/CD.Familiaridad con herramientas de gobierno del dato como Unity Catalog o Microsoft Purview.Integraciones con sistemas empresariales como SAP.Experiencia con datos industriales (sensores, IoT, series temporales, MES, SCADA).Conocimiento de arquitecturas de edge computing y la integración OT/IT.BenefitsUn proyecto estratégico de gran impacto respaldado por la dirección tecnológica.La oportunidad de trabajar y evolucionar una plataforma de datos innovadora.Participación en casos de uso con impacto directo sobre producción, energía y eficiencia.Colaboración con grandes profesionales y partners tecnológicos internacionales.Autonomía y capacidad real para proponer soluciones y buenas prácticas.Modelo de trabajo híbrido flexible con un 50% de teletrabajo, autogestionado según las necesidades del proyecto.Horario de entrada flexible y jornada intensiva durante el verano.Aparcamiento en las instalaciones y comedor de empresa subvencionado.Acceso a formación continua y desarrollo profesional.Retribución fija competitiva de entre 60.000 y 75.000 brutos anuales, según experiencia.

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font-family: LindeDax, Arial, Helvetica Neue, Helvetica, sans-serif !important; font-size: 14px !important; } td.content-left > p, td.content-right > p, td.content-left > ul, td.content-right > ul, td.content-left > li, td.content-right > li { line-height: normal !important; } td.content-left > ul { padding-bottom: 0 !important; padding-top: 0!important; } img.footer-logo { width: 20%; max-width: 200px !important; } /* END LINDE STYLING CODE */ Linde Saude, LDASenior Data Lead (m/f/d)Lisbon or Porto, Portugal or Barcelona, Spain | req27860What you will enjoy doingYou will own the Data Governance and Data Process framework for Homecare Europe, including definition, implementation, and continuous operational management of the Data Platform, ensuring long‑term reliability, compliance, and business continuity across multiple countriesAlso you will lead the execution of multi‑year Data & AI transformation roadmap for Homecare RSW, overseeing prioritization, architecture evolution, and execution across multiple countriesAdditionally you will act as the RSW authority for Data & AI architecture, defining standards adopted across Homecare RSW and influencing global architectural decisionsFurthermore you will drive cross‑functional governance and represent Data & AI in RSW steering committees, ensuring alignment of data strategy with regulatory, clinical, and operational requirementsMoreover you will define the target lakehouse architecture and phased roadmap for onboarding priority sources and delivering governed data products (Databricks-first)You will build initial ingestion and transformation pipelines in Databricks using Python/PySpark and SQL (Delta Lake), including incremental loads, backfills, and performance tuningYou will be able to implement governance and security with Unity Catalog (catalogs/schemas, access controls, lineage) and define PII handling aligned with GDPR and internal policiesEstablish data modeling standards and KPI/semantic layer definitions; deliver curated datasets for Power BI and downstream applications/APIs, including guidance on when to use lakehouse/OLAP versus OLTP, NoSQL and key-value storesIn addition, you will set engineering standards for CI/CD, testing, monitoring, and runbooks; provide knowledge transfer and handover to internal teamsYou will actively participate in digitalization and task automation process, contributing to the companys evolution towards digital transformationWhat makes you greatYou have 8+ years in data architecture and data engineering delivering enterprise platformsYou have a Master’s degree in Data Science, Computer Engineering, Applied Mathematics, informatics, engineer or a related quantitative or technical field You have 3+ years hands-on Databricks/Spark/Delta in production (lakehouse patterns)You will be able to establishing governance and access controls (Unity Catalog preferred) and handling sensitive/regulated data; familiarity with HL7 v2 / FHIR is a plusYou are experienced in integrating data from Azure-hosted applications and Microsoft SQL; external providers/IoT data is a plusYou have experience leading multi‑country data or digital transformation programs, ideally in a regulated industryYou have demonstrated responsibility for budgets and for managing multidisciplinary teams (direct and indirect)You speak english, you have additional proficiency in French, Portuguese, Spanish and/or German is a plusAre you ready to face new challenges and actively contribute to the success of the company's digital transformation projectYou are able to collect, interpret and use data effectively, driving digital transformationWhy you will love working with usAt Linde we identify ourselves with our products – either working for the technical or medical gases business. Being a company with a long tradition in the gases business, we not only care about our customers and high quality products, but most importantly about our employees. While working with us, expect a safe workplace, high safety standards and a true commitment from our managers to safety. What we offer you!At Linde, the sky is not the limit. If you’re looking to build a career where your work reaches beyond your job description and betters the people with whom you work, the communities we serve, and the world in which we all live, at Linde, your opportunities are limitless. Be Linde. Be Limitless.This role is a full time position based on an unlimited contract. The standard weekly working hours will be from 08:00 hrs till 17:00 hrs.Have we inspired you? Lets talk about itWe are looking forward to receiving your complete application (motivation letter, CV, certificates) via our online job market.Any designations used of course apply to persons of all genders. The form of speech used here is for simplicity only.Linde acts responsibly towards its shareholders, business partners, employees, society and the environment in every one of its business areas, regions and locations across the globe. The company is committed to technologies and products that unite the goals of customer value and sustainable development.

OverviewWELCOME TO SITAAt SITA, we keep airports moving, airlines flying smoothly, and borders open. Our technology and communication innovations power the success of the global air travel industry.You'll find us in 95% of international airports, working closely with over 2,500 transportation and government clients. Each partnership brings unique challenges, and we thrive on delivering fresh solutions and cutting-edge tech to keep operations running like clockwork. We don't just move the world forward-we're proud to be recognized as a Great Place to Work® by 79% of our employees and certified in most of our growing locations. Here, we feel empowered, supported, and inspired to grow.Are you ready to love your job?The adventure begins right here, with you, at SITA.PURPOSESITA for Aircraft is seeking a hands-on Technical Lead to drive the design, implementation, and evolution of its Enterprise Data Platform built on Databricks. This role combines technical leadership, platform architecture, and hands-on engineering. The successful candidate will work closely with the Product Owner to define and deliver the platform roadmap while establishing the technical foundations required to scale the team and the platform over time. As one of the first dedicated resources on the platform, the Technical Lead will be expected to actively build solutions, establish engineering standards, and make day-to-day technical implementation decisions. The platform will become the foundation for governed data products, self-service analytics, AI/ML initiatives, operational data consumption, and enterprise reporting capabilities across SITA for Aircraft. KEY RESPONSIBILITIESTechnical Leadership Act as the technical leader of the Enterprise Data Platform Scrum Team. Partner with the Product Owner to translate business priorities into technical solutions. Drive technical decisions and establish platform standards. Define architecture principles, engineering practices, and implementation patterns. Lead design reviews and ensure consistency across platform components. Platform Engineering Design, develop, and maintain core platform capabilities on Databricks. Build ingestion, transformation, orchestration, and data sharing solutions. Implement and optimize data pipelines using Spark, PySpark, SQL, and Databricks-native services. Design and implement data products and reusable platform services. Contribute directly to platform development activities and proof-of-concepts. Governance & Security Implement governance-by-design using Unity Catalog, metadata, lineage, and access controls. Define standards for data quality, lifecycle management, and schema evolution. Ensure secure and governed access to enterprise data assets. Collaborate with Security and Data Governance stakeholders to enforce compliance requirements. Team Development Mentor future Data Engineers joining the team. Establish engineering standards and best practices. Support recruitment and technical assessment of future team members. QualificationsEXPERIENCEBachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field. 7–10 years total experience, 3–5 years as Tech Lead on Databricks + Unity Catalog. Strong hands-on experience with Databricks in production environments. Strong experience with Spark, PySpark, SQL, and modern data engineering practices. Experience designing and building cloud-native data platforms on Azure. Experience implementing Delta Lake, Unity Catalog, Databricks Workflows, and data governance controls. Experience building scalable batch and streaming data pipelines. Strong understanding of data products, metadata management, lineage, and platform governance. Ability to balance strategic thinking with hands-on delivery. EDUCATION & QUALIFICATIONSDatabricks certifications. Experience with Data Products, Data Mesh, or modern data platform operating models. Experience with Power BI integration and semantic data models. Experience supporting AI/ML workloads and analytics platforms. Experience in aviation or similar operational industries is a plus. English required. French and/or Spanish are an advantage. ABOUT YOUR SKILLSYou have a solid understanding of Artificial Intelligence (AI) concepts, trends, and business applications.You can identify opportunities to leverage AI technologies to improve decision-making, operational efficiency, and business outcomes.You stay informed about emerging AI developments and effectively use AI-powered tools to enhance productivity, collaboration, innovation, and problem-solving.CORE COMPETENCIESHands-on technical leadership. Strong engineering mindset. Pragmatic architecture and decision making. Ability to operate in a startup-like environment while building enterprise-grade solutions. Strong communication and stakeholder management skills. Ownership and accountability. Continuous improvement mindset. Ability to simplify complexity and establish scalable standards. WHAT WE OFFERWe're all about diversity. We operate in 200 countries and speak 60 different languages and cultures. We're really proud of our inclusive environment. Our offices are comfortable and fun places to work, and we make sure you get to work from home too. Find out what it's like to join our team and take a step closer to your best life ever.ð¡ Flex Week: Work from home up to 2 days/week (depending on your team's needs) Flex Day: Make your workday suit your life and plans.ð Flex-Location: Take up to 30 days a year to work from any location in the world.ð Employee Wellbeing: We have got you covered with our Employee Assistance Program (EAP), for you and your dependents 24/7, 365 days/year. We also offer Champion Health - a personalized platform that supports a range of wellbeing needs.ð Professional Development: At SITA, we believe growth fuels innovation. Our learning ecosystem offers access to world-class platforms and programs designed to help you thrive. From LinkedIn Learning, Microsoft's Enterprise Skills Initiative, and Airport Council International -available to all employees-to specialized solutions like Pluralsight for technology upskilling, Harvard Business Publishing for people leadership, Stanford for strategic development and many others, we align learning opportunities with your Development Plan and our business priorities. Your development journey is supported every step of the way.ð Competitive Benefits: Competitive benefits that make sense with both your local market and employment status.SITA is an Equal Opportunity Employer. We value a diverse workforce. In support of our Employment Equity Program, we encourage women, aboriginal people, members of visible minorities, and/or persons with disabilities to apply and self-identify in the application process.

Somos Plexus Tech, una compañía tecnológica con más de 4.000 profesionales y más de 25 años de experiencia desarrollando productos y servicios de innovación que mejoran la vida de personas y empresas. Con más de 20 centros de trabajoen España y presencia global, colaboramos con casi el 80% de las compañías del IBEX35, liderando proyectos tecnológicos en sectores clave. Necesitamos incoporar profesionales con visión, experiencia y ganas de formar parte de proyectos reales, complejos y con impacto Buscamos un/a Data Engineer - Databricks + AWS Senior para unirse al equipo y participar en proyectos que seguro podrán potenciar tu crecimiento profesional. Requisitos técnicos: • Databricks: Unity Catalog., • Databricks: Delta y Delta Sharing., • Azure (genérico): gestión de grupos, acceso a datos, permisos de BBDD, tablas, etc., • AWS: arquitectura de referencia "Cuenta Domain", EMR, Athena, Glue Catalog y Lake Formation., • Experiencia en Infraestructura como Código (Terraform)., • Conocimientos de seguridad y buenas prácticas DevSecOps. Lo que ofrecemos: • Participar en proyectos innovadores con impacto real, en sectores clave, con tecnologías punteras y clientes nacionales e internacionales., • Flexibilidad real con nuestro modelo Flexology: trabaja desde casa, en nuestros centros o desde donde tu talento fluya mejor. Tú eliges., • Retribución flexible para optimizar tu salario, con ventajas fiscales en tickets restaurante, transporte, guardería, seguro médico y más, adaptados a ti, • Formación continua y desarrollo profesional, con acceso a certificaciones y herramientas digitales como LinkedIn Learning para que nunca dejes de crecer, • Un entorno BabyFriendly, donde celebramos cada nuevo bebé con un kit especial y promovemos la conciliación para avanzar en igualdad Compromiso con la igualdad Plexus Tech mantiene un compromiso firme con las políticas de Igualdad de empresa. Todos nuestros procesos de selección tienen en cuenta la igualdad de oportunidades entre hombres y mujeres de forma transversal, quedando esto reflejado en nuestro Plan de Igualdad. Fomentamos la igualdad de trato y de oportunidades para toda persona, de modo que ninguna razón de nacimiento, raza, sexo, religión, opinión o cualquier otra condición o circunstancia personal o social cause discriminación. En particular, la organización está comprometida con la creación de un contexto favorable a la diversidad y avance en la erradicación de la discriminación de las personas LGTBI, independientemente de su orientación e identidad sexual o su expresión de género.

Buscamos un/a Data Engineer Senior para diseñar y operar la plataforma de datos que alimenta un sistema de pricing dinámico e inteligencia de negocio en entornos retail de alto volumen. La persona seleccionada será el referente técnico de la arquitectura de datos: desde la ingesta de fuentes operacionales (ERP, POS, e-commerce, footfall) hasta la exposición de datos listos para consumo por modelos de ML y herramientas de BI. El rol requiere dominio profundo de Databricks como plataforma central y sólido conocimiento de la arquitectura Medallion (Bronze / Silver / Gold), así como experiencia en modelado de datos dimensional y capacidad para trabajar con Azure Data Factory como orquestador de pipelines — aunque la mayor parte del trabajo de transformación residirá en Databricks. 1. Responsabilidades principales Arquitectura y plataforma de datos ● Diseño y evolución de la arquitectura Medallion (Bronze → Silver → Gold) sobre Databricks / Delta Lake. ● Definición de estándares de ingesta, particionado, compactación y versionado de tablas Delta. ● Gobierno de la plataforma: Unity Catalog, gestión de permisos, linaje de datos y calidad (Great Expectations o similar). ● Evaluación y decisión de patrones de procesamiento: batch, micro-batch (Structured Streaming) y near real-time según el caso de uso. Modelado de datos ● Diseño de modelos dimensionales (esquemas estrella y copo de nieve) orientados a casos de uso de pricing, forecasting y personalización. ● Definición de tablas de hechos y dimensiones: transacciones POS, catálogo de productos, maestro de tiendas, calendario promocional. ● Colaboración con el equipo de ML para diseñar y mantener el feature store sobre la capa Gold. ● Documentación del modelo de datos en un catálogo semántico accesible para usuarios de negocio y analítica. Pipelines e ingesta ● Construcción de pipelines de ingesta desde fuentes heterogéneas: ERP (SAP u otros), POS, APIs de e-commerce, feeds de Retail Media, NPS. ● Uso de Azure Data Factory para orquestación de movimientos de datos entre sistemas origen y el lakehouse — con preferencia por mantener la lógica de transformación en Databricks (PySpark / SQL). ● Implementación de patrones de ingesta incremental (CDC, watermark, upsert con Delta Merge) para minimizar latencia y coste. ● Testing de pipelines: validaciones de schema, checks de completitud y pruebas de regresión sobre datos. Operación y fiabilidad ● Monitorización de jobs en Databricks Workflows: alertas, reintentos y gestión de dependencias. ● Optimización de costes de cómputo: sizing de clusters, uso de Photon, Auto Loader y optimizaciones de Delta (OPTIMIZE / ZORDER). ● Soporte a incidencias de datos en producción (on-call rotatorio con el equipo). Colaboración ● Trabajo estrecho con Data Scientists para garantizar que el feature store cubra los requisitos de los modelos de pricing y recomendación. ● Acompañamiento a analistas de negocio en la definición de métricas y KPIs sobre la capa Gold. ● Participación en code reviews, definición de convenciones de nombrado y estándares de calidad del equipo. 1. Requisitos Imprescindibles ● 5+ años de experiencia en ingeniería de datos en entornos productivos. ● Databricks: experiencia sólida con Databricks como plataforma principal; Delta Lake, Databricks Workflows, Unity Catalog. ● Arquitectura Medallion: diseño e implementación de capas Bronze / Silver / Gold con criterios claros de granularidad, particionado y SLA por capa. ● Modelado de datos: dominio de modelado dimensional (Kimball); diseño de esquemas estrella y copo de nieve; definición de claves surrogadas, SCDs y tablas de hechos. ● Lenguajes: PySpark y SQL avanzado (window functions, CTEs, optimización de queries). ● Azure Data Factory: conocimiento funcional para orquestación y movimiento de datos; no es necesario dominio profundo. ● Experiencia con patrones de ingesta incremental: CDC, watermark, Delta Merge / upsert. ● Familiaridad con control de versiones (Git) y prácticas de DataOps básicas. Valorables ● Experiencia en retail, travel retail o sectores con datos transaccionales de alto volumen. ● Conocimiento de herramientas de calidad de datos: Great Expectations, Soda o similar. ● Experiencia con dbt (data build tool) para transformaciones SQL sobre la capa Silver/Gold. ● Familiaridad con eventos en streaming: Kafka, Event Hubs o Databricks Structured Streaming. ● Conocimiento de herramientas de catálogo y linaje: Purview, Alation o Unity Catalog avanzado. ● Experiencia colaborando con equipos de ML en el diseño de feature stores (Feast, Tecton o solución custom).

Buscamos un/a Data Engineer Senior para diseñar y operar la plataforma de datos que alimenta un sistema de pricing dinámico e inteligencia de negocio en entornos retail de alto volumen. La persona seleccionada será el referente técnico de la arquitectura de datos: desde la ingesta de fuentes operacionales (ERP, POS, e-commerce, footfall) hasta la exposición de datos listos para consumo por modelos de ML y herramientas de BI. El rol requiere dominio profundo de Databricks como plataforma central y sólido conocimiento de la arquitectura Medallion (Bronze / Silver / Gold), así como experiencia en modelado de datos dimensional y capacidad para trabajar con Azure Data Factory como orquestador de pipelines — aunque la mayor parte del trabajo de transformación residirá en Databricks. 1. Responsabilidades principales Arquitectura y plataforma de datos ● Diseño y evolución de la arquitectura Medallion (Bronze → Silver → Gold) sobre Databricks / Delta Lake. ● Definición de estándares de ingesta, particionado, compactación y versionado de tablas Delta. ● Gobierno de la plataforma: Unity Catalog, gestión de permisos, linaje de datos y calidad (Great Expectations o similar). ● Evaluación y decisión de patrones de procesamiento: batch, micro-batch (Structured Streaming) y near real-time según el caso de uso. Modelado de datos ● Diseño de modelos dimensionales (esquemas estrella y copo de nieve) orientados a casos de uso de pricing, forecasting y personalización. ● Definición de tablas de hechos y dimensiones: transacciones POS, catálogo de productos, maestro de tiendas, calendario promocional. ● Colaboración con el equipo de ML para diseñar y mantener el feature store sobre la capa Gold. ● Documentación del modelo de datos en un catálogo semántico accesible para usuarios de negocio y analítica. Pipelines e ingesta ● Construcción de pipelines de ingesta desde fuentes heterogéneas: ERP (SAP u otros), POS, APIs de e-commerce, feeds de Retail Media, NPS. ● Uso de Azure Data Factory para orquestación de movimientos de datos entre sistemas origen y el lakehouse — con preferencia por mantener la lógica de transformación en Databricks (PySpark / SQL). ● Implementación de patrones de ingesta incremental (CDC, watermark, upsert con Delta Merge) para minimizar latencia y coste. ● Testing de pipelines: validaciones de schema, checks de completitud y pruebas de regresión sobre datos. Operación y fiabilidad ● Monitorización de jobs en Databricks Workflows: alertas, reintentos y gestión de dependencias. ● Optimización de costes de cómputo: sizing de clusters, uso de Photon, Auto Loader y optimizaciones de Delta (OPTIMIZE / ZORDER). ● Soporte a incidencias de datos en producción (on-call rotatorio con el equipo). Colaboración ● Trabajo estrecho con Data Scientists para garantizar que el feature store cubra los requisitos de los modelos de pricing y recomendación. ● Acompañamiento a analistas de negocio en la definición de métricas y KPIs sobre la capa Gold. ● Participación en code reviews, definición de convenciones de nombrado y estándares de calidad del equipo. 1. Requisitos Imprescindibles ● 5+ años de experiencia en ingeniería de datos en entornos productivos. ● Databricks: experiencia sólida con Databricks como plataforma principal; Delta Lake, Databricks Workflows, Unity Catalog. ● Arquitectura Medallion: diseño e implementación de capas Bronze / Silver / Gold con criterios claros de granularidad, particionado y SLA por capa. ● Modelado de datos: dominio de modelado dimensional (Kimball); diseño de esquemas estrella y copo de nieve; definición de claves surrogadas, SCDs y tablas de hechos. ● Lenguajes: PySpark y SQL avanzado (window functions, CTEs, optimización de queries). ● Azure Data Factory: conocimiento funcional para orquestación y movimiento de datos; no es necesario dominio profundo. ● Experiencia con patrones de ingesta incremental: CDC, watermark, Delta Merge / upsert. ● Familiaridad con control de versiones (Git) y prácticas de DataOps básicas. Valorables ● Experiencia en retail, travel retail o sectores con datos transaccionales de alto volumen. ● Conocimiento de herramientas de calidad de datos: Great Expectations, Soda o similar. ● Experiencia con dbt (data build tool) para transformaciones SQL sobre la capa Silver/Gold. ● Familiaridad con eventos en streaming: Kafka, Event Hubs o Databricks Structured Streaming. ● Conocimiento de herramientas de catálogo y linaje: Purview, Alation o Unity Catalog avanzado. ● Experiencia colaborando con equipos de ML en el diseño de feature stores (Feast, Tecton o solución custom).

¡Hola! Somos una empresa tecnológica con producto propio, especializada en el desarrollo de soluciones de software para entornos críticos del sector aeronáutico. Creamos tecnología robusta, escalable y alineada con las necesidades reales del negocio, trabajando sobre ecosistemas Microsoft para garantizar fiabilidad, integración y capacidad de evolución. En Airplane Solutions buscamos un perfil Senior Azure Data Engineer que se una a nuestro equipo para diseñar, implementar y optimizar soluciones de datos escalables en Microsoft Azure y Microsoft Fabric, liderando desde la ingesta hasta la entrega de insights, incluyendo la gobernanza, seguridad de los datos y la integración de capacidades de IA. 🎓 Formación: • Grado en Ingeniería Informática, Telecomunicaciones, Estadística o similar. 💼 Experiencia: • +3 años de experiencia realizando funciones similares a las descritas. 🎯Tus principales funciones serán: 1. Diseño y orquestación de pipelines de datos • Creación, despliegue y monitorización de pipelines en Azure Data Factory y/o Azure Databricks., • Estrategias de ingestión batch y streaming (Event Hubs, Azure Stream Analytics). 1. Procesamiento y almacenamiento • Modelado y optimización en Azure Synapse Analytics y Azure SQL Data Warehouse., • Gestión de grandes volúmenes en Azure Data Lake Storage Gen2 con partición y compresión., • Políticas de seguridad y cifrado (en reposo y en tránsito). 1. Azure Data Explorer (ADX) y Kusto Query Language (KQL) • Diseño de tablas ADX: ingestión por pipelines, SDKs, Event Grid., • KQL avanzado: consultas exploratorias, agregaciones, series temporales., • Funciones y políticas: parsejson, mv-expand, estimatedstatistics, update policies., • Integración: Power BI DirectQuery y dashboards nativos ADX., • Monitorización: ajuste de clústeres, escalado y análisis de costes con Azure Monitor. 1. Microsoft Fabric • Lakehouse & Warehouse: unificación de Data Lake y Synapse en un entorno integrado., • Pipelines en Fabric: orquestación con Data Factory en Fabric, notebooks de Spark en Spark Compute., • Data Engineering en Fabric: Spark SQL, PySpark y C# en Notebooks; optimización con Delta tables nativas., • Governance & Security: Control con Purview integrado, políticas de acceso unificadas y encriptación automática., • Fabric Workloads: integración de Data Science (ML), Power BI en Fabric, Data Activator para eventos en tiempo real. 1. Integración y desarrollo • Transformaciones avanzadas con Apache Spark (PySpark/Scala) en Databricks o Fabric Spark Compute., • Azure Functions y .NET para microservicios data-driven., • IaC con Terraform, Bicep o ARM Templates. 1. Business Intelligence y visualización • Dashboards en Power BI sobre Fabric or Synapse, DAX avanzado, DirectQuery/Composite Models., • DataOps y MLOps: CI/CD para pipelines, despliegues automáticos con Azure DevOps. 💡 Requerimientos: • +4 años en Data Engineering sobre Azure y Fabric., • DP-203 skills: almacenamiento, procesamiento y continuidad operativa., • SQL avanzado, Python (pandas, PySpark) y/o Scala., • AKS y contenedores., • Inglés técnico fluido (B2) ¿Qué ofrecemos? 📄 Proyecto estable con contrato indefinido. 💰 Salario acorde a la experiencia y los conocimientos que aportas. 🏠 Modalidad de trabajo híbrida, nos adaptamos a tus necesidades y a las del proyecto. ⏰ Flexibilidad horaria, solo tienes que coordinarte con tu equipo. 🕒 Viernes y agosto jornada intensiva. 🏖️ 23 días de vacaciones + 2 flexidays. 🎂 Día de cumpleaños libre para que lo disfrutes como quieras. 🎓 Certificaciones oficiales de Microsoft, apostamos por tu formación y crecimiento. 🏆Eventos y Teambuildings para desconectar y compartir momentos con el equipo. 🤝Un ambiente de trabajo basado en la confianza y la corresponsabilidad de todo el equipo. Beneficios: ⚕️Seguro médico y dental para que te centres en lo importante: tu bienestar. 🍽 Ticket restaurante a cargo de la empresa. 💻 Ayuda para la formación en inglés o bienestar físico. 🪙 Retribución flexible: puedes repartir parte de tu salario en productos o servicios con exención fiscal. Si has llegado hasta aquí, seguro que te apetece conocernos un poco más… ¿Cómo somos en Airplane? Profesionales, Cercanos, Curiosos, Talentosos, Diversos, por eso buscamos atraer al mejor talento para que se una a nuestro equipo. … ¡y un dato importante! Las investigaciones han demostrado que las mujeres son menos propensas que los hombres a postularse para un puesto si no tienen una experiencia sólida en el 100% de lo que se busca en las ofertas de empleo. En Airplane creemos que la diversidad de género en el equipo, al incluir diferentes perspectivas y experiencias, nos permite innovar y encontrar soluciones más creativas y eficientes. Así que, incluso si crees que solo tienes un 75% de coincidencia, no dudes en participar en el proceso, porque las habilidades se pueden aprender, la diversidad no 👩🏻 💻👩🏽 💻 No pierdas la oportunidad... ¡Contáctanos! 📥

Somos Plexus Tech, una compañía tecnológica con más de 4.000 profesionales y más de 25 años de experiencia desarrollando productos y servicios de innovación que mejoran la vida de personas y empresas. Con más de 20 centros de trabajoen España y presencia global, colaboramos con casi el 80% de las compañías del IBEX35, liderando proyectos tecnológicos en sectores clave. Necesitamos incoporar profesionales con visión, experiencia y ganas de formar parte de proyectos reales, complejos y con impacto Buscamos un/a Data Engineer - Databricks + AWS Senior para unirse al equipo y participar en proyectos que seguro podrán potenciar tu crecimiento profesional. Requisitos técnicos: • Databricks: Unity Catalog., • Databricks: Delta y Delta Sharing., • Azure (genérico): gestión de grupos, acceso a datos, permisos de BBDD, tablas, etc., • AWS: arquitectura de referencia "Cuenta Domain", EMR, Athena, Glue Catalog y Lake Formation., • Experiencia en Infraestructura como Código (Terraform)., • Conocimientos de seguridad y buenas prácticas DevSecOps. Lo que ofrecemos: • Participar en proyectos innovadores con impacto real, en sectores clave, con tecnologías punteras y clientes nacionales e internacionales., • Flexibilidad real con nuestro modelo Flexology: trabaja desde casa, en nuestros centros o desde donde tu talento fluya mejor. Tú eliges., • Retribución flexible para optimizar tu salario, con ventajas fiscales en tickets restaurante, transporte, guardería, seguro médico y más, adaptados a ti, • Formación continua y desarrollo profesional, con acceso a certificaciones y herramientas digitales como LinkedIn Learning para que nunca dejes de crecer, • Un entorno BabyFriendly, donde celebramos cada nuevo bebé con un kit especial y promovemos la conciliación para avanzar en igualdad Compromiso con la igualdad Plexus Tech mantiene un compromiso firme con las políticas de Igualdad de empresa. Todos nuestros procesos de selección tienen en cuenta la igualdad de oportunidades entre hombres y mujeres de forma transversal, quedando esto reflejado en nuestro Plan de Igualdad. Fomentamos la igualdad de trato y de oportunidades para toda persona, de modo que ninguna razón de nacimiento, raza, sexo, religión, opinión o cualquier otra condición o circunstancia personal o social cause discriminación. En particular, la organización está comprometida con la creación de un contexto favorable a la diversidad y avance en la erradicación de la discriminación de las personas LGTBI, independientemente de su orientación e identidad sexual o su expresión de género.

Hay proyectos de datos donde el reto no está solo en mover información de un sitio a otro. Está en diseñar pipelines que escalen, modelos que respondan bien bajo carga, procesos robustos de ingesta y transformación, y plataformas que permitan convertir datos en decisiones con impacto real. En NTT DATA buscamos una persona con experiencia en Data Engineering para participar en proyectos de transformación digital donde se combinan procesamiento distribuido, arquitecturas cloud, automatización, DevOps y trabajo con equipos multiculturales. Trabajarás con tecnologías como Apache Spark, Databricks, MongoDB, Delta Lake, Apache Airflow, Azure Data Factory, Git y CI/CD, dentro de proyectos donde la calidad técnica, la eficiencia y la capacidad de resolver problemas complejos son clave. NTT DATA es una consultora multinacional que ofrece soluciones tecnológicas, de negocio, estrategia, desarrollo y mantenimiento de aplicaciones. En nuestras áreas de tecnología digital acompañamos a grandes organizaciones en su transformación, conectando estrategia, tecnología y diseño con un enfoque práctico y orientado al negocio. Buscamos personas con curiosidad permanente, pasión por la tecnología, excelencia constante y visión estratégica. Qué harás: 🔹 Diseñar, desarrollar y optimizar procesos de data ingestion, transformación y orquestación sobre entornos cloud y plataformas modernas de datos. 🔹 Trabajar con Apache Spark sobre Databricks para procesamiento distribuido de grandes volúmenes de información. 🔹 Diseñar y optimizar esquemas NoSQL en MongoDB, poniendo foco en rendimiento, escalabilidad y mantenibilidad. 🔹 Construir pipelines con Delta Lake, Apache Airflow y Azure Data Factory, asegurando trazabilidad, calidad y eficiencia. 🔹 Aplicar prácticas de CI/CD, versionado con Git y automatización en proyectos de ingeniería de datos. 🔹 Colaborar con equipos multidisciplinares en contextos Agile y DevOps, aportando criterio técnico y capacidad de resolución. 🔹 Identificar mejoras de rendimiento, calidad y productividad en las soluciones de datos. 🔹 Compartir buenas prácticas con el equipo y ayudar a elevar el nivel técnico de las soluciones. Qué buscamos: ✅ Experiencia mínima de 4 años en ingeniería de datos, big data o desarrollo de pipelines cloud. ✅ Experiencia sólida con Apache Spark y Databricks. ✅ Conocimiento en diseño de esquemas, optimización y rendimiento en MongoDB / NoSQL. ✅ Experiencia con Delta Lake, Apache Airflow y Azure Data Factory. ✅ Buenas prácticas de CI/CD, Git, DevOps y trabajo Agile. ✅ Capacidad para analizar problemas complejos, proponer soluciones técnicas y trabajar con autonomía. ✅ Mentalidad colaborativa para trabajar en equipos multiculturales. ✅ Nivel de inglés suficiente para colaborar en entornos internacionales. Qué encontrarás en NTT DATA: 🧠 Proyectos donde la ingeniería de datos no es una capa secundaria, sino una pieza clave de la transformación digital. ☁️ Trabajo con plataformas cloud, arquitecturas distribuidas y tecnologías orientadas a construir soluciones robustas y escalables. 🎓 Acceso a NTT DATA University, con formación técnica, metodológica, idiomas y soft skills, además de certificaciones bonificadas en proveedores cloud como AWS, Azure o GCP y otras tecnologías. 🤝 Equipos diversos, cercanos y con cultura de aprendizaje compartido. 🚀 Un entorno donde podrás crecer técnicamente, asumir retos reales y participar en soluciones end-to-end con impacto en grandes organizaciones. 🌍 Una cultura que valora cada voz, la colaboración y la innovación con propósito. Beneficios En NTT DATA valoramos el bienestar de cada persona de forma integral, con beneficios pensados para mejorar el equilibrio entre vida personal y profesional. 🌱 Flexibilidad y conciliación: modelo de teletrabajo preferente híbrido y flexible. 🏡 Ayuda Flex Teletrabajo: compensación de parte de los gastos extra vinculados al teletrabajo y a determinadas jornadas presenciales. 🎓 Financiación a la formación y acceso a opciones de aprendizaje continuo. 💳 Retribución flexible, guardería por retribución flexible, portal de ofertas y ventajas en productos de seguros y bancarios. 🏥 Seguro médico corporativo, con cobertura para ti y parte de tus beneficiarios. 🛡️ Seguro de vida y accidentes. 🧘 Programas de salud mental y actividades deportivas. 🌊 Actividades sociales y solidarias para crear comunidad y generar impacto positivo. Cómo trabajamos: Creemos que crecer no es solo avanzar, sino hacerlo en el lugar adecuado. Por eso impulsamos una cultura donde puedas aprender, compartir conocimiento y participar en proyectos que combinan tecnología, negocio e innovación. Nuestros pilares ponen el foco en pertenecer, desarrollarse e innovar, con una mentalidad de aprendizaje continuo y soluciones tecnológicas end-to-end. Make THIS the place to grow

🎯Data Engineer Senior (Azure & Databricks) – Sector Seguros Ubicación: Un día presencial en oficina de Barcelona Buscamos perfiles de Data Engineers para unirse a un proyecto estratégico de larga duración en el sector de los seguros. Se trata de un proyecto desde cero de migración y construcción de una plataforma de datos moderna utilizando el stack de Databricks. Tu misión será liderar el diseño y la construcción de Data Marts anonimizados dentro de una plataforma de datos corporativa de última generación, asegurando los más altos estándares de calidad, seguridad y cumplimiento. 🛠️ ¿Qué harás? • Diseñar y construir Data Marts robustos dentro de un ecosistema Cloud., • Desarrollar documentación técnica exhaustiva y metodologías de gestión de datos., • Optimizar jobs en Apache Spark y gestionar flujos de trabajo en Databricks., • Garantizar la calidad del dato mediante pruebas, CI/CD y mejores prácticas de ingeniería de software., • Implementar protocolos de anonimización para asegurar el cumplimiento normativo. 👨 💻 Perfil buscado • Experiencia: Mínimo 4 años en roles de Data Engineering., • Cloud: Dominio experto de Azure (Data Factory, ADLS)., • Databricks: Conocimiento avanzado (Delta Lake, Workflows, Spark Optimization)., • Lenguajes: Programación experta en Python (PySpark) y SQL sólido., • Arquitectura: Trayectoria probada en entornos Lakehouse / Medallion., • Ingeniería: Sólidos conocimientos en CI/CD y control de versiones., • Idiomas: Inglés fluido (nivel C1 escrito y hablado). 🤝 Habilidades Clave • Mentalidad proactiva y gran capacidad para la resolución de problemas técnicos., • Foco en la escritura de Clean Code y código mantenible., • Atención al detalle y capacidad para trabajar de forma independiente. 📍 Condiciones • Ubicación: Barcelona (Modelo Híbrido)., • Viajes: No requeridos., • Proyecto: Impacto directo en la estrategia de datos de una gran corporación. 💙 ¿Por qué unirte a Extia? En Extia creemos firmemente en nuestro lema: “Who first, then what.” Primero la persona, después el proyecto. ✨ Flexibilidad real – Modelo adaptado a tu proyecto y equilibrio vida personal/profesional 📚 Plan de formación personalizado – Diseñamos contigo tu roadmap de evolución 🤝 Triple Seguimiento – Un Coach, un Manager y un HR siempre a tu lado. 🎁 Paquete de beneficios competitivo – Seguro Médico (incl. Fisioterapia y Psicología) + Ticket Restaurante + Transporte 🌍 Entorno internacional – Más de 3.000 colaboradores en Europa y Canada 🏆 Great Place to Work – Cultura basada en cercanía, transparencia y acompañamiento real 🎉 Eventos, afterworks y comunidad activa – Team buildings, acciones solidarias, meetups, celebraciones internas… ¡Nos gusta compartir más allá del trabajo! 📩 ¿Te interesa o conoces a alguien? Si buscas un nuevo reto en datos donde tu experiencia cuente desde el primer día, ¡estamos deseando conocerte! #Firstwhothenwhat

🚀 ¡Seguimos buscando talento… y nos encantaría que te unieras a nuestro equipo! Para que nos conozcas algo mejor, UST es una multinacional norteamericana certificada como Top Employer, con más de 35.000 empleados a nivel global y presencia en más de 35 países. Somos líderes en servicios de tecnología digital y proporcionamos soluciones tecnológicas de gran alcance a grandes compañías. 🔎 ¿Qué buscamos? Buscamos un/a Data Engineer con experiencia imprescindible en Databricks y conocimientos de AWS y Terraform, capaz de participar en la evolución de plataformas de datos seguras, escalables y gobernadas en entornos cloud. 📍 Modalidad: 100% remoto desde España 📋Principales responsabilidades: • Administración y evolución de plataformas Databricks para procesamiento, gobierno y explotación de datos., • Implementación y gestión de modelos de gobierno de datos mediante Unity Catalog, garantizando la correcta administración de accesos y permisos., • Gestión de datasets y compartición segura de información utilizando Delta Lake y Delta Sharing en entornos corporativos., • Administración de usuarios, grupos, accesos a datos y permisos sobre bases de datos y tablas en entornos cloud., • Participación en el diseño y operación de arquitecturas de datos sobre AWS, utilizando servicios como EMR, Athena, Glue Catalog y Lake Formation., • Implementación y mantenimiento de infraestructuras mediante Terraform, siguiendo principios de Infrastructure as Code (IaC)., • Aplicación de estándares de seguridad, control de accesos y buenas prácticas DevSecOps en la gestión de plataformas de datos., • Colaboración con equipos de ingeniería, analítica y arquitectura para garantizar soluciones de datos eficientes, escalables y alineadas con los estándares corporativos. 📋 Requisitos Técnicos: • Imprescindible experiencia en Databricks., • Conocimientos sólidos de AWS., • Experiencia en Terraform y gestión de infraestructuras como código., • Conocimiento de gobierno de datos, seguridad y gestión de accesos en entornos cloud. 💰 ¿Qué te ofrecemos? ✈️ 23 días laborables de vacaciones y el 24 y 31 de diciembre ❤️ Numerosos beneficios sociales (seguro médico, ayuda al teletrabajo, seguro de vida y seguro de accidentes) 🍴 Programa de retribución flexible (tarjeta comida, cheques guardería, tarjeta transporte, clases de inglés online, seguro médico para tu familia…) 🎓 Acceso gratuito a varias plataformas de formación 🚀 Estabilidad y carrera profesional 🚶 Plan de compensación de referencias internas 🔗 Posibilidad de elegir percibir tu salario en 12 o 14 pagas 🏡 Medidas de conciliación (horario flexible, teletrabajo, asesoramiento de especialistas —psicólogo, nutricionista, entrenador personal—, jornada intensiva los viernes y en verano según proyecto) 🎁 Plataforma UST Club, descuentos y descuentos en gimnasios Si quieres conocer más, no dudes en inscribirte y nos pondremos en contacto contigo para ampliarte información de la posición. ¡Te estamos esperando! 📧 En UST nos comprometemos con la igualdad de oportunidades en nuestros procesos de selección y no realizamos ningún tipo de discriminación por razón de raza, género, discapacidad, edad, religión, orientación sexual o nacionalidad. Estamos comprometidos con la discapacidad y apostamos por la incorporación de personas con certificado de discapacidad.

Senior Data Engineer | Azure Databricks, Kafka & Industrial Data Zona Martorell–Rubí (Vallés Occidental) | Híbrido, 50% remoto | 60.000–75.000 € | Contrato indefinido | Vehículo propio imprescindible Desde Akuaro colaboramos con un gran grupo industrial europeo que está creando una nueva Oficina de Transformación Digital para llevar la ingeniería de datos y la inteligencia artificial directamente a sus operaciones. La compañía cuenta con un backlog de iniciativas de Data e IA relacionadas con producción, energía, materias primas, logística y eficiencia industrial. Algunos de sus primeros proyectos buscan mejorar procesos productivos críticos, donde pequeños incrementos de eficiencia pueden generar un impacto económico de millones de euros. No es una posición de reporting ni de mantenimiento de ETLs básicos. Buscamos a una persona que ayude a construir la plataforma que conectará las plantas industriales con Microsoft Azure y Databricks, creando la base necesaria para desarrollar productos de datos y desplegar modelos de Machine Learning e inteligencia artificial. Te incorporarás directamente a la plantilla de la compañía y formarás parte de un equipo interno de nueva creación. Durante los primeros meses trabajarás junto a un partner estratégico y tecnológico internacional de primer nivel, participando en la transferencia de conocimiento y asumiendo progresivamente el ownership de las soluciones desarrolladas. Tu misión Diseñar, construir y operar pipelines fiables y escalables que conecten los sistemas industriales de planta con la plataforma corporativa de datos. Los equipos de sistemas de planta —OT, Operational Technology— capturan las señales procedentes de sensores, PLC y MES, y las publican localmente en Kafka. Tu responsabilidad se centrará principalmente desde Kafka hacia arriba: ingesta, persistencia, transformación, gobierno y explotación del dato en Azure y Databricks. ¿Qué harás? • Diseñar y desarrollar pipelines de datos utilizando Python y SQL., • Ingerir información industrial desde Kafka hacia Azure y Databricks., • Desarrollar pipelines sobre una arquitectura Lakehouse / Medallion, trabajando con capas Bronze, Silver y Gold., • Trabajar con procesamiento batch, microbatch y streaming., • Integrar información de planta con datos corporativos procedentes de SAP y otros sistemas., • Gestionar grandes volúmenes, datos retrasados, duplicidades, reintentos e idempotencia., • Aplicar buenas prácticas de calidad, observabilidad, trazabilidad y monitorización., • Trabajar con Apache Spark, Delta Lake y Databricks., • Colaborar en el gobierno del dato mediante Unity Catalog y Microsoft Purview., • Participar en la automatización de infraestructura y despliegues con Terraform y Azure DevOps., • Construir productos de datos reutilizables, mantenibles y documentados., • Colaborar con Data Scientists en la puesta en producción y el reentrenamiento de modelos., • Trabajar con equipos de arquitectura, seguridad, sistemas y expertos industriales. ¿Qué necesitamos? • Experiencia sólida construyendo y manteniendo pipelines de datos en producción., • Buen nivel de Python y SQL., • Experiencia con Spark, Databricks o plataformas Lakehouse equivalentes., • Conocimiento práctico de arquitecturas ETL/ELT y procesamiento de grandes volúmenes., • Experiencia con alguna plataforma cloud, preferentemente Microsoft Azure., • Capacidad para desarrollar soluciones mantenibles, documentadas y escalables., • Perfil hands-on, con interés tanto por el diseño como por la implementación., • Capacidad para colaborar con equipos técnicos, negocio y expertos industriales., • Inglés profesional alto, hablado y escrito., • Vehículo propio y disponibilidad para desplazarse regularmente a las instalaciones de la zona Martorell–Rubí. Será especialmente valorable • Azure Databricks, Spark Structured Streaming y Delta Lake., • Kafka y otras tecnologías de streaming o mensajería como MQTT o MQ., • Arquitectura Medallion: Bronze, Silver y Gold., • Terraform, Azure DevOps y procesos de CI/CD., • Unity Catalog o Microsoft Purview., • Integraciones con SAP., • Datos procedentes de sensores, IoT o series temporales., • Sistemas industriales como MES, SCADA, historians o PLC., • Arquitecturas edge computing., • Integración entre sistemas industriales —OT— y plataformas corporativas —IT—., • Experiencia en automoción, química, energía, farma, alimentación, utilities o manufacturing. ¿Qué encontrarás? • Un proyecto estratégico respaldado directamente por la dirección tecnológica., • Una plataforma de datos que se está construyendo y evolucionando., • Casos de uso con impacto directo sobre producción, energía y eficiencia., • Colaboración con grandes profesionales y partners internacionales., • Autonomía y capacidad real para proponer soluciones y buenas prácticas., • Modelo híbrido con un 50% de teletrabajo, autogestionado según las necesidades del proyecto., • Horario de entrada flexible entre las 8:00 y las 9:30., • Jornada intensiva de verano., • Aparcamiento en las propias instalaciones., • Comedor de empresa subvencionado al 50%., • Acceso a formación., • Sin guardias., • Retribución fija de entre 60.000 y 75.000 € brutos anuales, según experiencia. Importante: Las instalaciones se encuentran en un polígono industrial de la zona Martorell–Rubí ( Vallés Occidental ). Por su ubicación y las conexiones disponibles, disponer actualmente de vehículo propio es un requisito necesario.

May 18, 2026 Design and maintain business dashboards Translate business strategy into analytics roadmap Enable business performance insights Act as analytics partner for business Lead cross-domain alignment Power BI-type BI platforms Enterprise semantic models Advanced business KPIs Data visualization and UX best practices Collaboration with Data Engineering teams • Core Technical, • Advanced Power BI development: composite models, RLS, deployment pipelines, Premium features, • Enterprise semantic modelling in Microsoft Fabric /Databricks, Power BI Premium for supply chain domains, • SAP supply chain data architecture: extraction from MM/PP/SD/WM, delta patterns, reconciliation (preferred), • business analytics roadmap: KPI taxonomy, domain data product ownership, • Integration with Databricks Gold layer for advanced supply chain data products, • Certifications, • Microsoft Certified: Power BI Data Analyst Associate — Mandatory, • Microsoft Certified: Fabric Analytics Engineer Associate — Strongly Preferred, • SAP Certified Application Associate – Procurement / Materials Management — Strongly Preferred, • APICS CSCP or CLTD (Logistics, Transportation & Distribution) — Strongly Preferred, • Industry & Business Knowledge, • Deep SAP supply chain knowledge: MM, PP, SD, WM / EWM, APO / IBP, • Advanced supply chain KPI ownership: OTIF, DIFOT, inventory turns, working capital impact, • S&OP and integrated business planning data requirements, • Industrial minerals supply chain: quarry-to-customer data flows, logistics costing, • Cross-domain coordination: alignment with finance (COGS, stock valuation) and operations, • Supply chain business partnering — acts as analytics advisor to SCM leadership, • Domain data product ownership: accountable for quality, adoption, and evolution, • Strong prioritisation: manages competing demands from planning, logistics, and procurement, • Translates operational complexity into clear analytical insight, • Cross-functional leadership: aligns data engineering, governance, and business stakeholders HybridWorkModel :Flexibilitytoworkfromhomeandintheoffice,accordingtothepolicy,helpingyouachieveahealthywork-lifebalance. TicketRestaurant :Enjoyadailymealallowancetosupportyourwell-being. 30 Labor Days of Holidays :Ampletimeofftorelaxandrecharge. LanguageLessons :Accesstolanguagelessonstohelpyougrowbothpersonallyandprofessionally. MedicalInsurance : 60% company-subsidized medical insurance for employees, with the option to extend coverage to family members at a highly competitive rate. Omya is a global leader in industrial minerals, providing sustainable, high-quality materials and solutions to enhance the functionality and sustainability of everyday products. P.O. Box, CH-4665, Oftringen, CH 9987 Carver Road, Suite 300, Cincinnati, OH 45242, US 8 Jalan Kerinchi, UOA Corporate Tower, Avenue 10, The Vertical, Bangsar South, Kuala Lumpur, Federal Territory of Kuala Lumpur 59200, MY #J-18808-Ljbffr

Evinova is seeking a passionate and experienced Data Foundation Engineering Lead to guide in the transformation of our platform-wide data foundation to enable our products, data science, and agents to deliver category leading capabilities. Join us in leveraging cutting-edge technology, data, and AI to revolutionize life sciences and improve billions of lives globally. In this pivotal role, you will design, implement, and optimize robust cloud-based data lakehouse infrastructure and operational frameworks that enable rapid innovation and deliver exceptional system reliability. You will be one of the senior-most engineers within the team; expected to be hands on, guide, and mentor the team. You will need to share your expertise in cloud data infrastructure, automation, and best practices with the whole of Evinova. Infrastructure Design & Management: • AWS Data Services: Deep hands‑on experience with Lake Formation, Glue (ETL + Catalogue + Schema Registry), Athena, and at least one of EMR / Redshift Serverless. You understand how these compose, not just how each works in isolation., • Open Table Formats: Production experience with S3 Tables, Apache Iceberg (preferred), or Delta Lake. You understand partition evolution, schema evolution, time travel, and compaction — and when each matter., • Streaming: Built production streaming pipelines with Kinesis Data Streams or MSK. Comfortable with exactly once semantics, windowing, late‑arriving data, and backpressure., • Infrastructure as Code: AWS CDK (TypeScript) or CloudFormation. You define infrastructure in code, not in the console. CI/CD for data pipelines is expected, we currently use GitHub Actions, and some Terraform., • Data Modelling: Can design dimensional models, event schemas, and slowly changing dimensions. Understand the trade‑offs between normalized and denormalized storage for different access patterns., • Governance and Security: Practical experience implementing column‑level security, row‑level filtering, or tag‑based access control. Understands how data classification drives policy., • Python or Spark: For ETL logic, feature extraction, and data quality validation. PySpark or Spark Scala for distributed transforms., • AI & Machine Learning: Exposure to AI tools and frameworks is a plus., • Mentorship & Leadership: Mentor and guide junior and mid‑level engineers, fostering a culture of learning and collaboration. Provide technical leadership in the adoption of the tooling, patterns, and automation best practices., • Collaboration: Partner with cross‑functional teams, including product management and security, to align data foundation strategies with business goals and ensure cohesive development and operational workflows., • Experience: 10+ years in Data Engineering roles, with significant experience in SaaS and multi‑tenant data platforms. Proven track record of mentoring team members in data platform related projects., • Cloud Expertise: Strong understanding of AWS services, including VPC, IAM, EC2, S3, RDS, Lambda, EKS, AWS WAF, and AWS CloudTrail., • Data Products: Expert knowledge of S3, RDS, DynamoDB, Kinesis, Glue, DataZone, Athena, RedShift Serverless, and AWS EventBridge., • Containerization & Orchestration: Deep proficiency in Docker, Kubernetes, Helm, and associated ecosystem tools., • CI/CD Proficiency: Expertise in CI/CD tools such as ArgoCD and GitHub Actions., • Infrastructure as Code (IaC): Advanced experience with AWS CDK (TypeScript preferred) and CloudFormation., • Security: Good knowledge of IAM, AWS KMS, encryption standards, AWS WAF, and security compliance frameworks including NIST., • Monitoring & Alerting: Good experience with OpenTelemetry, Prometheus, Grafana, AWS CloudWatch, and AWS CloudTrail for monitoring and incident response., • Data & ETL Pipelines: Extensive knowledge with AWS Glue, AWS Kinesis, and Managed Kafka for real‑time and batch data processing., • Programming & Automation: Strong scripting and automation skills using TypeScript and Bash., • Multi‑Account AWS Management: Experience managing multiple AWS accounts with AWS Control Tower., • Communication & Collaboration: Exceptional verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders., • Advanced expertise in AWS CDK, including building complex, reusable constructs and pipelines., • Experience with monitoring and logging tools such as Prometheus, Grafana, and AWS CloudWatch., • Exposure to multi‑tenant SaaS platforms and best practices., • Experience working with AI tools and frameworks., • Big Picture: Able to understand the strategic direction and help architect smaller initiatives with the direction in mind., • Mentor & Leader: Enjoys mentoring team members, and fostering a collaborative, innovation‑driven team culture., • Organized & Adaptable: Able to manage multiple priorities and thrive in a fast‑paced environment., • Innovative: Passionate about leveraging technology to solve complex problems and drive efficiency., • Customer‑Focused: Dedicated to building infrastructure that delivers measurable business and customer value. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life‑changing medicines. In‑person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry‑leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non‑discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements. #J-18808-Ljbffr

Biorce, a Healthtech innovator, is seeking a Senior Backend Developer (Delta Team) to build and scale our internal software infrastructure from Barcelona. You will own Leadro’s backend, APIs, and data flow, while integrating with GTM tools and external systems. The role demands ownership, architecture, and mentorship to drive fast, reliable delivery. The candidate should have strong Node.js/TypeScript expertise, NestJS, and hands-on experience with cloud platforms (GCP preferred). #J-18808-Ljbffr

Seqera exists to advance science for everyone through software We provide software for scientists solving today's most complex and important challenges from pioneering innovative therapeutics to unveiling the secrets of our universe. The journey began a decade ago with Nextflow — open software that helps over 100,000 global scientists analyze and process data, with more power and flexibility than ever before. Today, Seqera consolidates fragmented data and diverse computing resources into a unified platform. Our modern biotech stack is trusted by over 150 leading life sciences organizations. Empowered with modern software engineering, organizations conduct science faster, on larger datasets, and with more confidence. Seqera accelerates discoveries in an open world. Would you like to be a part of a company with a bigger purpose and make it successful with your own ideas? If yes, keep reading! We are looking for a Staff Software Engineer to join our Unified Compute team and take technical ownership of the low-level systems that power how scientific workloads run in the cloud. Our scheduling project (Sched) has gained real momentum, and we need a senior engineer to help build the ecosystem around it to the next level. The core of this role is deep in the stack — Fusion (a FUSE filesystem presenting cloud object storage as POSIX), Fusion Snapshots (CRIU-based checkpoint/restore that survives spot-instance reclamation), and Ignite (a container process manager) — with Sched as the orchestration layer that ties compute together. You'll also support adjacent services such as Groundswell (ML-based resource prediction) and Cloudinfo (multi-cloud pricing/metadata). It's a hands‑on senior role with strong architectural influence. • Design, build, and own low-level systems across Fusion, Fusion Snapshots, Ignite, and Sched., • Write reliable, well-tested code primarily in Go and C, with Rust and JVM (Groovy/Java, Micronaut) where the codebase calls for it., • Work close to the OS: FUSE filesystems, Linux namespaces, CRIU checkpoint/restore, process supervision, signal handling, static musl builds., • Tackle multi-cloud orchestration and scheduling: provider abstractions (AWS, Azure, GCP), instance selection, autoscaling, spot-instance fault tolerance, durable async queues., • Drive performance engineering — chunked I/O, multi-level caching, buffer pools, bandwidth management., • Set technical direction and raise the standard for testing, observability, and operational excellence., • Mentor teammates and help onboard new engineers., • Deep experience building production‑grade systems software, with technical ownership at Staff level., • Strong in Go and comfortable in C (or C++), close to the operating system., • Solid Linux internals — filesystems, namespaces, processes, signals, networking — and comfortable debugging at that level., • Built distributed and/or cloud-native systems and understand the failure modes of running across multiple clouds., • Write simple, well‑structured, well-tested code; optimize for clarity and debuggability., • Comfortable with ambiguity and driving work independently., • We use AI every day and expect engineers to use it extensively — you don't need to be an expert, but you must be genuinely open to it., • CRIU / checkpoint-restore / process migration., • FUSE or other filesystem/VFS work., • Rust; JVM (Groovy/Java, Micronaut)., • Container runtimes, Docker internals, Kubernetes., • HPC/Batch (AWS Batch, Google Batch, Azure Batch)., • Applied ML / data engineering (Groundswell); open-source systems contributions., • Flexible working hours and remote-friendly culture., • International working environment with more than 25 nationalities., • Passionate & talented team., • Continuous skills development., • Team retreats and bonding activities., • A culture where your opinion is valued and your decisions have a real impact on the industry., • Excitement of a fast-growing startup in a constantly changing environment., • Time off: 20 days for vacations per year, 3 days given by Seqera in December, and the national/public holidays according to your location., • Equity, • Private health insurance with United Healthcare, dental with Delta, and vision coverage from Vision Service Plan., • Private life insurance with Lincoln, • Investment app with Vestwell (401K), • Home office equipment (valued over 1,000 USD), • Subscription to Oliva, Mental Health App, • Learning and development budget per year (1,000 USD) #J-18808-Ljbffr

Our Business team.blue is an ecosystem of successful brands working together across regions to provide customers with everything they need to succeed online. 60+ successful brands make up the group; with a team of more than 3000+ experts serving its 3.5 million customers across Europe and beyond. Our Business team.blue is an ecosystem of successful brands working together across regions to provide customers with everything they need to succeed online. 60+ successful brands make up the group; with a team of more than 3000+ experts serving its 3.5 million customers across Europe and beyond. team.blue's brands are a mix of traditional hosting businesses, offering services from domain names, email, shared hosting, e-commerce and server hosting solutions and specialist SaaS providers offering adjacent products such as compliance, marketing tools and team collaboration products. This broad product offering makes it a one-stop partner for online businesses and entrepreneurs across Europe. As a Senior Data Engineer , you will develop and maintain our central data ecosystem, ensuring we extract maximum strategic value from our global data assets. You will be responsible for building, scaling, and governing high-value data products that serve as the "single source of truth" for team.blue and its 60+ sub-brands. This role is pivotal in transforming raw data into a sophisticated semantic layer that powers business intelligence, operational efficiency, and cutting-edge AI initiatives. • Data Product Innovation: Design and deliver high-quality, scalable data products that provide a unified source of truth across a complex ecosystem of 60+ global sub-brands., • Pipeline Engineering: Build and optimize robust ETL/ELT pipelines to ingest and transform massive volumes of structured and unstructured data, ensuring high availability and low latency for downstream consumers., • Architectural Leadership: Lead the design of secure, cost-efficient data architectures. Establish and enforce best practices in data modeling, orchestration, and observability., • Governance & Integrity: Implement rigorous data governance frameworks, including lineage tracking, metadata management, and quality controls to ensure a reliable semantic layer for AI and ML use cases., • Cross-Functional Collaboration: Act as a strategic "sparring partner" for Analytics, ML, and AI teams, translating complex business requirements into high-performing technical solutions., • Platform Optimization: Manage and tune data platforms for peak performance, focusing on indexing strategies, query optimization, and schema evolution., • Mentorship: Elevate the collective expertise of the engineering team by mentoring junior members and fostering a culture of technical excellence., • Strategic Thinker: You don't just execute; you lead projects from ideation to actionable solution, balancing technical debt with rapid delivery., • Effective Communicator: You possess the ability to translate complex technical concepts into clear business value for non-technical stakeholders., • Problem Solver: You thrive in fast-paced environments, managing multiple high-priority workstreams with meticulous attention to detail., • Core Ecosystem: Deep hands-on experience with Databricks (PySpark, Delta Lake, Unity Catalog)., • Advanced SQL & Modeling: Expert-level SQL skills (optimization, indexing) and a mastery of data modeling techniques (Dimensional, Star Schema, Snowflake)., • Cloud & Modern Data Stack: Proficiency in at least one major cloud provider (AWS, GCP, etc) and modern orchestration tools like Airflow or dbt., • Database Diversity: Proven experience managing data across various RDBMS platforms (PostgreSQL, SQL Server, Oracle, etc)., • DevOps & Engineering: Strong command of Docker/Kubernetes and a commitment to CI/CD best practices., • Governance: Experience with data versioning, schema evolution, and distributed metadata management., • Experience: 7+ years of professional experience in data engineering or data management, preferably within a high-growth or multi-brand industry., • Education: Advanced degree (Masters or PhD) in Computer Science, STEM, or a related quantitative field., • Track Record: A demonstrable history of deploying stable, high-performance data solutions that drive measurable business value. At any stage, please be prepared to provide proof of eligibility to work in the country you’re applying for. Unfortunately, we are unable to support relocation packages or sponsorship visas. "Come as you are". Everyone is welcome here. Diversity & Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance. At team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. Interested in learning more about our dedication to making a positive impact? Check it out here.” The most trusted digital enabler team.blue is a leading digital enabler for companies and entrepreneurs. It serves over 3.3 million customers in Europe and has more than 3,000 experts to support them. Its goal is to shape technology and to empower businesses with innovative digital services. #J-18808-Ljbffr

At Qbeast, we believe in transforming the way the tech world processes and analyzes data. Data has become the lifeblood of modern activities, and its importance grows daily with the rise of cutting‑edge AI workloads. The demand for efficient, cost‑effective, and scalable data solutions has never been higher. Just like the Cubism Art Movement changed the way to perceive reality in the early 20th century, we at Qbeast crave for radically different approaches to storing and processing data. Qbeast is an early‑stage startup on a mission to accelerate data analytics for Data Lakehouses—independent of query engine or table format. Born from research at the Barcelona Supercomputing Center (BSC), Qbeast’s foundation lies in groundbreaking multi‑dimensional indexing techniques. We envision a future in which this core indexing technology initially becomes an essential piece of data infrastructure and over time expands to touch every critical aspect of data engineering, from storage all the way to query engines, redefining how we approach current and future AI workloads. Our goal is to make this technology accessible worldwide, across clouds, and reshape the landscape of data processing. With headquarters in Barcelona and Seattle, we are a diverse, international team driven by passion and expertise. Backed by strong funding, we have the resources and time to craft a product that delights our customers. We value flexibility, offering a hybrid remote work model and adaptable working hours. We are looking for a talented engineer to join our team and contribute to the development of our core acceleration technology. This role involves enhancing our core multi‑dimensional indexing implementation for Data Lakehouses. You’ll collaborate closely with the team to introduce groundbreaking features that are unique in the market. • Develop and enhance our indexing technology using Java, Scala, and Rust., • Build support for open table formats such as Iceberg., • Maintain and improve product quality by resolving defects and creating robust test cases and frameworks., • Explore other areas of interest—in a startup, there’s always more to do and learn., • Experience: A minimum of three years in professional software development., • Education: A Bachelor’s degree in Computer Science or a related field., • Technical Skills:, • Strong knowledge of algorithms and data structures., • Familiarity with database internals., • Experience with Data Lakehouse formats (e.g., Delta Lake, Apache Hudi, Apache Iceberg) is a plus., • Knowledge of storage I/O is a bonus., • Proficiency in Java, Scala, and Rust, with the adaptability to work in other languages as needed., • Experience with query engines like Apache Spark, Trino, or emerging ones like DataFusion., • Soft Skills:, • Proficiency in English (our working language)., • Organized, autonomous, and proactive approach to work., • Willingness to learn new skills and share knowledge., • A collaborative mindset and strong team spirit., • Revolutionary data analytics technology supporting various processing frameworks., • Cloud‑based infrastructure spanning multiple providers., • Kubernetes for orchestration, Terraform for infrastructure management, and GitHub for version control., • A SaaS platform powered by Typescript, Rust, Java, Scala, and Python., • A Startup Culture: Be part of building both revolutionary software and a forward‑thinking work environment., • A Talented Team: Collaborate with a high concentration of tech talent., • Impact: Shape the future of Qbeast, a company poised to become a reference in Data Engineering., • Growth Opportunities: Constant learning in both technology and business. If our mission excites you and you’re ready to make a difference in data infrastructure, we’d love to hear from you. Join Qbeast and help us redefine the future of data! #J-18808-Ljbffr

Senior Data & Analytics Product SpecialistApplylocations: Barcelonatime type: Full timeposted on: Posted 30+ Days Agojob requisition id: JR ## Job main responsibilities: Design and maintain business dashboards Translate business strategy into analytics roadmap Enable business performance insights Act as analytics partner for business Lead cross-domain alignmentTechnical Skills & Technology Landscape: Power BI-type BI platforms Enterprise semantic models Advanced business KPIs Data visualization and UX best practices Collaboration with Data Engineering teams## Qualifications and Skills1. Core Technical Advanced Power BI development: composite models, RLS, deployment pipelines, Premium features Enterprise semantic modelling in Microsoft Fabric /Databricks, Power BI Premium for supply chain domains SAP supply chain data architecture: extraction from MM/PP/SD/WM, delta patterns, reconciliation (preferred) business analytics roadmap: KPI taxonomy, domain data product ownership Predictive analytics enablement Self-service analytics governance: framework design, training, adoption management Integration with Databricks Gold layer for advanced supply chain data products2. Certifications Microsoft Certified: Power BI Data Analyst Associate — Mandatory Microsoft Certified: Fabric Analytics Engineer Associate — Strongly Preferred SAP Certified Application Associate – Procurement / Materials Management — Strongly Preferred APICS CSCP or CLTD (Logistics, Transportation & Distribution) — Strongly Preferred Microsoft Certified: Azure Data Engineer Associate — Preferred3. Industry & Business Knowledge Deep SAP supply chain knowledge: MM, PP, SD, WM / EWM, APO / IBP Advanced supply chain KPI ownership: OTIF, DIFOT, inventory turns, working capital impact S&OP and integrated business planning data requirements Industrial minerals supply chain: quarry-to-customer data flows, logistics costing Cross-domain coordination: alignment with finance (COGS, stock valuation) and operations4. Behavioral & Leadership Supply chain business partnering — acts as analytics advisor to SCM leadership Domain data product ownership: accountable for quality, adoption, and evolution Strong prioritisation: manages competing demands from planning, logistics, and procurement Translates operational complexity into clear analytical insight Cross-functional leadership: aligns data engineering, governance, and business stakeholders## What do we offer?* Hybrid Work Model: Flexibility to work from home and in the office, according to the policy, helping you achieve a healthy work-life balance.* Ticket Restaurant: Enjoy a daily meal allowance to support your well-being.* Flexible retribution: Kindergarten & Transport* 30 Labor Days of Holidays: Ample time off to relax and recharge.* Language Lessons: Access to language lessons to help you grow both personally and professionally.* Medical Insurance: 60% company-subsidized medical insurance for employees, with the option to extend coverage to family members at a highly competitive rate.* Open and Modern Office Environment: Work in a collaborative, innovative, and comfortable space designed for your success. #J-18808-Ljbffr

Accenture is driving a profound transformation of its technology model with a strong strategic focus on Data & AI, and Barcelona has become one of the key locations supporting this global transformation. From our Rotonda office in Barcelona, you will join Accenture’s Data & AI team, working on the design, build, and scale of advanced data‑driven and AI‑based solutions for leading global clients. You will be part of end‑to‑end projects, combining data engineering, cloud architectures, advanced analytics, and generative AI, delivering real business impact across industries such as pharma and life sciences, banking, insurance, consumer goods, and the public sector. Within our Data & AI ecosystem, we work with cutting‑edge technologies, including: • Cloud & Data Platforms: AWS, Azure, GCP, Databricks, Snowflake, BigQuery, Synapse., • Data Engineering & Processing: Spark, Kafka, Airflow, dbt, Delta Lake., • Analytics & BI: Power BI, Tableau, Looker, advanced analytics and machine learning models., • AI & Generative AI: Azure OpenAI, OpenAI APIs, Hugging Face, LangChain, LLMOps, RAG, intelligent agents., • Customer & Marketing Data: Customer Data Platforms (Adobe, Salesforce), Marketing Automation, data activation. You have at least 3 years of experience in these technologies/areas. You will participate in Global Data & AI initiatives for reference clients, including data‑driven modernization programs in major financial institutions, applied AI projects within life sciences and pharma, and advanced analytics and generative AI solutions for public sector organizations and large international companies—many of them recognized as Accenture success stories. We are seeking Data & AI talent across different seniority levels (junior, mid, senior, and lead), with experience or strong interest in any of the areas above, and a strong motivation to grow in an environment where technological innovation is at the core of the business. • Cutting‑edge Data & AI projects with international scope, • Hands‑on work with generative AI, modern architectures, and intelligent solutions, • A collaborative, multicultural, and innovation‑driven environment, • Hybrid and flexible work model, • Continuous learning, official certifications, and access to expert communities, • A professional growth plan aligned with your technical profile and interests The role is based in Barcelona, under a hybrid working model, combining remote work with on‑site collaboration to foster strong team synergies. Residency in Spain and a valid work permit are required. If you want to be part of the team where Accenture is shaping the future of Data & AI at a global scale, we’d love to meet you. #J-18808-Ljbffr

Aim high, go beyond! At Open Cosmos we are solving the world’s biggest challenges from space, providing businesses, governments and researchers access to more readily available information than ever before - ready for the challenge? Then read on… The Satcom team is responsible for the design, delivery and performance of Open Cosmos’ satellite communications services, spanning the space segment, ground infrastructure and global connectivity. We're now looking for a Satcom Mission Analysis Engineer to define, optimise, and maintain the orbital architecture that keeps our satellite constellation performing at its best — modelling the astrodynamics, inter-satellite link behaviour, and manoeuvre strategies that translate orbital mechanics into reliable, high-performance connectivity across the network's entire lifecycle. • Defining, optimising, and maintaining the precise orbital architecture of the constellation over its lifespan, • Running continuous topology analysis, ensuring that the physical distribution of satellites mathematically supports the network capacity requirements defined by the System Architecture team, • Modelling the integration of future constellation phases, calculating how adding new orbital shells will interact with the existing mesh, • Calculating the exact pointing, acquisition, and tracking (PAT) slew rates required to maintain line-of-sight for optical Inter-Satellite Links (ISLs), especially during cross-plane orbital intersections, • Analyzing astrodynamic perturbations, like atmospheric drag, solar radiation pressure and their direct impact on laser pointing accuracy and optical link stability, • Calculating and delivering highly accurate slant range and Doppler shift profiles to the RF and Waveform engineering teams for physical layer optimization, • Calculating revisit times, elevation angles, and line-of-sight durations to guarantee SLA-backed coverage for User Terminals (UTs), • Modelling complex operational environments, including terrain masking, maritime use cases, and high-latitude regions, ensuring zero packet drops during critical satellite-to-satellite handovers, • Working closely with the Network Routing team to simulate how the physical orbital geometry dictates latency and jitter for our clients, • Designing the physical maneuver strategies required to maintain the constellation's precise geometry, sizing strict Delta-V budgets for initial orbit insertion, station-keeping, and end-of-life de-orbiting, • Developing the operational concepts for automated Collision Avoidance (COLA) and Space Situational Awareness (SSA), ensuring thruster burns are planned so they do not disrupt active routing paths, • Ensuring all orbital lifecycle and de-orbiting strategies strictly comply with international space debris mitigation guidelines and ITU regulatory milestones, • Building and maintaining the core astrodynamics simulation environments using tools, • Developing custom code directly into the software team's routing simulators and our broader Digital Twin, • Strong understanding of orbital mechanics, including constellation design, phasing strategies, and orbital perturbations, • Capability to model and analyse satellite constellations, including topology evolution and multi-orbit integration, • Proficiency in mission analysis and simulation tools using Orekit and STK and ability to develop custom models or automation scripts, • Understanding of inter-satellite link dynamics, including line-of-sight constraints, pointing, acquisition, and tracking considerations, • Knowledge of how orbital parameters, like slant range, elevation angle, Doppler shift, translate into telecommunications performance metrics such as latency, coverage, and link stability, • Familiarity with coverage analysis, including revisit times, visibility windows, and service continuity across diverse environments, • Understanding of manoeuvre planning, including Delta-V budgeting, station-keeping, and end-of-life strategies, • Knowledge of collision avoidance principles and space situational awareness considerations, • Awareness of regulatory frameworks related to orbital operations, spectrum allocation, and space debris mitigation, • Capability to integrate astrodynamics models into broader system simulations or digital twin environments, • A highly analytical and systems-level approach to problem-solving, connecting physical models with real-world operational and network performance outcomes This role will be based in any of our locations. To apply, you must have the legal right to work in your chosen location. When applying, please submit your CV in English. • Work at the cutting edge of space technology with customers around the globe, • A mission-driven company making space accessible to help solve real-world challenges, • A diverse, ambitious, and supportive team Equal opportunity employer At Open Cosmos, we are dedicated to fostering a workplace built on respect, dignity, and belonging. As an equal opportunity employer, we actively challenge bias to ensure every candidate and employee feels truly welcome. We celebrate diversity in all its forms and are committed to maintaining an inclusive environment where everyone has the opportunity to thrive. #J-18808-Ljbffr

Join to apply for the Senior Media Buyer role at Common Thread Collective. Our Mission is to be able to say - "Anyone in the World below $15M should fire their Agency tomorrow as nobody can beat this Value & Service at this Price". We're looking for a results-driven and experienced Senior Media Buyer to join our team. As a Senior Media Buyer at Common Thread Collective (CTC), you will be instrumental in driving client success through strategic media buying, precision optimization, and data-driven forecasting. You will lead the development of accurate, insight-driven forecasts, ensuring that every strategy is executed seamlessly to transform projections into tangible, scalable growth for our clients. Your actions and decisions consistently resonate with the core values of CTC Global, serving as a beacon for these principles. • Autodidact: Naturally curious and able to absorb information quickly, with commitment to learning and growth., • Unimpeachable Character: Embodies pride, honesty, humility, self-awareness, and openness to constructive feedback., • Competitive Greatness: Performs best under challenge, demonstrates determination, adaptability, creativity, and resilience., • Necessary Skills: See detailed skills below., • Be willing to put in the hard work required., • Be ready for the hardest job you have ever worked to develop a high-leverage new skill., • Take feedback and implement it fast., • Finish work to the fullest with quality and on time., • Perseverance., • Learn from repetitive exercises., • Align with team and contribute to the Brain Trust., • Manage and work with Google strategist, Creative Strategist, and Email Strategist., • Organize, prioritize, and manage multiple tasks with great attention to detail., • Maintain data integrity across Statlas., • Execute Prophet system for clients., • Build a Growth Forecast and Growth Map, perform data analysis, align marketing calendar, and adjust daily projections., • Implement CTC's Meta best practices, build campaigns, manage ideologies, adjust budgets, and monitor performance., • Maintain within 5% delta to the forecast., • Daily alignment with client vs forecast & strategy., • Above benchmark client satisfaction rate feedback., • Execute Prophet system to 100% within required timeline., • Deliver work on schedule with optimal quality and attention to detail., • Champion communication, ensuring alignment on Growth Map goals and next steps., • Send daily performance updates to the client., • Ensure alignment across Strategy and Forecast daily., • Provide weekly updates on the Weekly Strategy Call., • Contribute learnings back to the system for continuous improvement., • Collaborate in ideas and learning across teams., • Contribute to future company content production., • Fluent in English, persuasively communicate and present ideas clearly., • Craft thoughtful, empathetic client messaging with high emotional intelligence., • Strong presentation skills to drive engagement and decision-making., • Strong raw talent for data analysis, eager to learn and improve., • Familiarity with data tools including Google Sheets., • Broad experience from domains such as mathematics, data analytics, business operations, retail, finance, media buying, etc., • Structured thinking to solve complex problems using logical frameworks., • Propose practical, impactful solutions., • Passionate about e-commerce, eager to contribute to a high-performing team., • Highly motivated and hardworking, with a strong desire to learn, grow, and make a meaningful impact., • Thrives where direct results are visible and full accountability and autonomy are offered. Merge the Finance and Marketing sides of a business to build a forecasted strategy to help the business achieve its goal. • Achieve certification and confidence in our ideology by end of the kick off., • Consistently deliver high-accuracy performance within 5% delta across the Prophet system's Growth Map and Statlas., • Lead and collaborate with your team to optimize productivity and maintain high-performance standards., • Apply best practices in media buying to drive outstanding results., • Maintain client satisfaction levels above benchmark rates., • Adhere to rigorous quality standards in client feedback, forecasting, media buying decisions, and system execution., • Meet all deadlines and budget requirements, ensuring timely performance., • Contribute valuable ideas to team discussions and company-wide content. Your supervisor would be Joy Sharma, The Director of the CTC Accelerator Program. You will report directly to Joy Sharma—known for relentless pursuit of excellence and unmatched passion for growth strategy. • This role will be client-facing., • First month: $2,000, • Second month: $4,000, • Third month (average): $7,000 a month, • 1st Year Annual Range: $64,000‑$76,000, • 2nd Year Annual Range: $100,000‑$120,000 This will depend on the amount of clients and the quality of work. • Progress is clearly defined based on experience and execution quality., • Fairness and transparency are prioritized; weekly performance dashboard provides comparable metrics., • Pay transparency is upheld for all team members, with consistent contract terms and a clear roadmap for increasing earnings., • Your commitment: work harder, learn, and make more., • Fully remote with flexible schedule., • Embrace autonomy with clear expectations, regular 1:1 feedback, and measurable quality benchmarks. #J-18808-Ljbffr

At Open Cosmos we are solving the world’s biggest challenges from space, providing businesses, governments and researchers access to more readily available information than ever before - ready for the challenge? Then read on… Our CRO division drives the commercial growth of Open Cosmos. The team works across business development, marketing, and customer success to connect with partners worldwide, understand their needs, and turn opportunities into space missions. Their work expands our reach and ensures we deliver meaningful impact for customers and end users. The Growth team acts as the powerhouse of the company, ensuring the immediate needs of the customers are swiftly met and the future ones are translated into a product roadmap and deliverable projects. Each member of the team combines a mix of programmatic, system engineering, and commercial skills with specific strengths. As a Senior Mission Concept Engineer, you will lead the definition and development of advanced space mission concepts - from early customer discussions through to fully developed proposals. You will play a central role in shaping missions with customers, translating their needs into technically robust and commercially viable solutions. This includes leading or contributing to satellite mission proposals, working closely with internal teams and external partners to build compelling, end-to-end mission architectures. You will: • Lead the design of complex missions across Earth observation, telecommunications, and technology demonstration, • Define mission architectures across space, ground, and launch segments, • Engage directly with customers (institutional and commercial) to refine requirements and shape solutions, • Lead or contribute to proposal development, ensuring technical credibility, cost realism, and alignment with customer expectations, • Support consortium definition, structuring partnerships and contributions across the value chain, • Contribute to early-stage mission shaping and pre-sales activities, including feasibility assessments and concept iteration Working cross-functionally with engineering, project management, and commercial teams, you will bring together inputs into clear, coherent mission concepts and proposals — balancing innovation with delivery realism. You will also drive innovation within the team by developing tools, models, and approaches to assess mission performance, risk, cost, and schedule. As a senior member of the team, you will mentor others, share knowledge, and contribute to the evolution of Open Cosmos’ mission design capabilities and long-term roadmap. • Strong understanding of all space mission phases including design – with hands‑on experience defining and analysing complex missions (e.g. constellation sizing, orbital analysis, payload integration, communications, AOCS, or system trades)., • Specialisation in a mission domain, such as embedded software, satellite operations, mission control systems, or flight dynamics., • Have led technical workstreams or proposals in a commercial or institutional (ESA, UKSA, EC, etc.) context., • Strong analytical and problem‑solving skills, from performing delta‑V or power budgets to evaluating mission‑level trade‑offs., • Confidence dealing with ambiguity and complexity, using structured thinking to create clarity and drive progress., • Excellent communication and storytelling skills, able to engage both technical and non‑technical audiences., • A collaborative mindset, eager to exchange knowledge and help build scalable processes as Open Cosmos continues to grow. This role will be based in Spain. To apply, you must have the legal right to work in this location. When applying, please submit your CV in English. • Work at the cutting edge of space technology with customers around the globe, • A mission‑driven company making space accessible to help solve real‑world challenges, • A diverse, ambitious, and supportive team At Open Cosmos, we are dedicated to fostering a workplace built on respect, dignity, and belonging. As an equal opportunity employer, we actively challenge bias to ensure every candidate and employee feels truly welcome. We celebrate diversity in all its forms and are committed to maintaining an inclusive environment where everyone has the opportunity to thrive. #J-18808-Ljbffr

At DATAPAO, data ignites passion, community fuels collaboration, and growth knows no bounds. We are a leading Data Engineering and AI consulting company backed by Databricks and recognized for our unmatched delivery standards and rapid growth. We have been named Databricks EMEA Emerging Business Partner of the Year (2024), achieved the Golden Tier status in the Databricks Partner Program, and made three consecutive appearances on the Financial Times FT1000 list. We are currently looking for a Senior AI Engineer to join us remotely in Spain. As our first hire in this geography, you could play a pivotal role in, potentially, setting up a physical hub in Spain. We currently serve our customers from our delivery hub in Budapest (Hungary) and through our remote consultants in the UK, but we’re considering expanding the team internationally with a 2nd delivery hub in EMEA. You will work with our EMEA and US customers to help them solve their data architecture, ML, Generative AI, MLOps and cloud migration puzzles. As our first AI Engineer in Spain, you’ll lead engagements to help our customers build and productionize tailored AI applications in the Databricks platform, using the latest technologies to deliver business impact for our top clients. You’ll own the technical delivery of AI solutions, whether you’re working solo as an AI Engineer or heading up a delivery team. • Technical Architecture: Lead the technical scoping, design high-level architectures, and define the roadmap for AI and Generative AI solutions;, • Execution & Leadership: Take ownership - either delivering the project independently or acting as the Technical Lead for a team of engineers;, • Customer Interface: Serve as the primary technical contact for our customers, ensuring the systems you build solve their specific business challenges;, • Strategic Advisory: Between active project cycles, act as a senior technical advisor for our EMEA customers and Databricks partners to navigate complex Generative AI and traditional Machine Learning challenges., • Production-Grade Solutions: Build robust and scalable solution architectures that leverage the latest technologies;, • Enablement: Lead technical workshops to empower client teams, ensuring they have the expertise to manage and scale the AI platforms you help them deploy., • You have 5+ years of experience in AI or Machine Learning Engineering with a focus on cloud platforms (AWS, Azure, GCP);, • You are proficient in MLOps using MLflow - taking models from local environments to fully automated, monitored production pipelines;, • You have experience building production systems in Databricks or in a comparable enterprise cloud environment, utilizing PySpark, SQL, Delta Lake, and Unity Catalog (or similar enterprise governance);, • You have a good understanding of Large Language Models (LLMs) and experience implementing them using modern frameworks and libraries;, • You have strong Python knowledge of the most common Data Science and ML libraries;, • You have good knowledge of data visualization tools/libraries;, • [BONUS]: Proficiency in deep learning frameworks (PyTorch/TensorFlow) or distributed computing (Spark)., • Ideally, you bring a proven history in consulting, from scoping to gathering requirements, designing solutions, and communicating effectively with stakeholders. If you bring a product company background with you, that’s also fine as long as you can show a good consulting mindset and desire to be customer-facing;, • You’ve successfully delivered projects like end-to-end, fully automated ML solutions, or production-ready Generative AI applications in Databricks or in a comparable enterprise cloud environment;, • You excel in explaining technical concepts to non-technical audiences and drive decision-making., • You’re (almost) ready to hit the ground running, immediately contributing to live client projects;, • In a fast-paced consulting environment, where no two days are the same, flexibility and problem-solving comes naturally to you. Furthermore, resilience and thriving on challenges are essential traits in our industry;, • Your communication skills are on point—whether you’re writing, speaking, or collaborating with stakeholders, you know how to keep everyone in the loop. We know that the perfect candidate doesn’t always check every single box. If you’re excited about this role and have the foundational skills we’re looking for, we encourage you to apply anyway. You’ll have the rare opportunity to join DATAPAO at a time when you can still meaningfully impact our growth trajectory and organizational success. Furthermore, as our first-ever Spain hire, you could meaningfully contribute to expanding our local presence and, eventually, establishing a physical hub in this geography. • The chance to work remotely - as we don’t have a physical office in Spain yet, we offer a fully remote setup for the time being. However, given our strong community emphasis, we’d expect you to spend one month in our Budapest hub during onboarding and visit the office for one week every quarter;, • World‑class educational benefits - there’s no shortage of learning opportunities at DATAPAO, meaning that you’ll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we’ll pay for various data & cloud certifications, you’ll get dedicated time for learning during work hours, and access to our internal library;, • Flexible PTO days - we’re flexible with how many days you take off if that does not conflict with customer success and the work getting done;, • Fully paid Medical Leave for up to 15 days per year - because when you’re unwell, we want you to focus on recovery and not worry about your paycheck;, • Comprehensive private health insurance plan via Allianz - offered via our EOR (Employer of Record) provider, Remote.com. Remote will be your official employer in Spain for the foreseeable future until we establish our own legal entity in Spain;, • Employee Assistance Program (EAP) via Allianz & Remote - life always happens! And we’d like to be there for you when it counts the most. Through EAP, we offer our employees access to psychology, financial, and legal consulting services via phone or in person;, • Top‑notch working equipment - working comfortably means working well. You will get a MacBook Pro and a sign‑up bonus of 500 EUR gross (to be paid with your first payroll) to set up your home office or whatever else is needed to give your best;, • The chance to make an impact in a high‑transparency culture - open feedback and no politics are things we value a lot at DATAPAO. Additionally, you’ll get the chance to work in the field of data & AI and shape the future of a rapidly growing tech company. Given that we are still sorting our way in Spain, this list will likely get an update in the following months, and we’re also committed to growing it with us over time. The gross salary for this position ranges from 75.000 to 85.000 EUR/year, depending on your assessed seniority level during the selection process. Please note that currently we are unable to support transfer or offer full sponsorship for Skilled Worker visas as we’re just setting foot into Spain. DATAPAO is a data engineering and AI company that covers the entire data transformation from architecture to implementation. Beyond delivering solutions, we also provide data and AI training and enablement. We are backed by Databricks - the creators of Apache Spark, and act as a delivery partner and training provider for them in Europe. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies, such as Norsk‑Hydro, Richter, Bayer, Schufa, GetYourGuide, TechnoAlpin, and Logically, to name just a few. As a training provider, we deliver onsite and online courses globally for Databricks and on our own. We have been teaching professionals at Apple, Amazon, Uber, Microsoft, T‑Mobile, GE, Ericsson, and many more to improve their impact with data. We’re firm believers in scaling up a team without judgment or prejudice. What we really care about is working with the best people out there, no matter their background. And you should also not worry if you don’t tick every box in the requirements. If you’re passionate about data and learning new things, you’ll fit right in, and we’d love to hear back from you. And we hear back, we’d like you to know that we are committed to your privacy and keeping your data safe. We do not share your data with any third parties (except the ones we use to run our recruitment process) and keep your application for two years unless you ask us otherwise. We use your data solely for recruitment purposes, such as letting you know about new career opportunities at DATAPAO and/or managing your application. If you want to find out more, you can always follow us on LinkedIn for all the good stuff or just hit our recruitment team at jobs@datapao.com. #J-18808-Ljbffr

SITA for Aircraft is seeking a hands-on Technical Lead to drive the design, implementation, and evolution of its Enterprise Data Platform built on Databricks. This role combines technical leadership, platform architecture, and hands-on engineering. The successful candidate will work closely with the Product Owner to define and deliver the platform roadmap while establishing the technical foundations required to scale the team and the platform over time. As one of the first dedicated resources on the platform, the Technical Lead will be expected to actively build solutions, establish engineering standards, and make day-to-day technical implementation decisions. The platform will become the foundation for governed data products, self-service analytics, AI/ML initiatives, operational data consumption, and enterprise reporting capabilities across SITA for Aircraft. • Act as the technical leader of the Enterprise Data Platform Scrum Team., • Partner with the Product Owner to translate business priorities into technical solutions., • Drive technical decisions and establish platform standards., • Define architecture principles, engineering practices, and implementation patterns., • Lead design reviews and ensure consistency across platform components., • Design, develop, and maintain core platform capabilities on Databricks., • Build ingestion, transformation, orchestration, and data sharing solutions., • Implement and optimize data pipelines using Spark, PySpark, SQL, and Databricks-native services., • Design and implement data products and reusable platform services., • Contribute directly to platform development activities and proof-of-concepts., • Implement governance-by-design using Unity Catalog, metadata, lineage, and access controls., • Define standards for data quality, lifecycle management, and schema evolution., • Ensure secure and governed access to enterprise data assets., • Collaborate with Security and Data Governance stakeholders to enforce compliance requirements., • Mentor future Data Engineers joining the team., • Establish engineering standards and best practices., • Support recruitment and technical assessment of future team members., • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field., • 5+ years of experience in Data Engineering, Data Platform Engineering, or Data Architecture., • Strong hands-on experience with Databricks in production environments., • Strong experience with Spark, PySpark, SQL, and modern data engineering practices., • Experience designing and building cloud-native data platforms on Azure., • Experience implementing Delta Lake, Unity Catalog, Databricks Workflows, and data governance controls., • Experience building scalable batch and streaming data pipelines., • Strong understanding of data products, metadata management, lineage, and platform governance., • Ability to balance strategic thinking with hands-on delivery., • Databricks certifications., • Experience with Data Products, Data Mesh, or modern data platform operating models., • Experience with Power BI integration and semantic data models., • Experience supporting AI/ML workloads and analytics platforms., • Experience in aviation or similar operational industries is a plus., • English required. French and/or Spanish are an advantage., • Hands-on technical leadership., • Strong engineering mindset., • Pragmatic architecture and decision making., • Ability to operate in a startup-like environment while building enterprise-grade solutions., • Strong communication and stakeholder management skills., • Ownership and accountability., • Continuous improvement mindset., • Ability to simplify complexity and establish scalable standards. We offer flexible work arrangements, including work from home up to two days per week, flex-day options, and up to 30 days a year to work from any location. Employee wellbeing programs are available 24/7, including an Employee Assistance Program and a personalized platform. Development programmes include LinkedIn Learning, Microsoft Enterprise Skills Initiative, Airport Council International Learning, Pluralsight, Harvard Business Publishing, Stanford, and more. Competitive benefits are provided based on local market and employment status. SITA is an Equal Opportunity Employer. We value a diverse workforce. In support of our Employment Equity Program, we encourage women, aboriginal people, members of visible minorities, and/or persons with disabilities to apply and self-identify in the application process. #J-18808-Ljbffr

Desde Agap2 estamos buscando incorporar un perfil de Data Support & DataOps Engineer con experiencia en soporte de plataformas de datos, resolución de incidencias y mantenimiento de procesos de Data Engineering en entornos de procesamiento distribuido. ¿Buscas dar tu próximo paso profesional en un proyecto tecnológico dentro del mundo Data? ¡Queremos conocerte! • Gestionar y resolver incidencias reportadas por los consumidores de datos, incluyendo errores, consultas técnicas y problemas de rendimiento., • Diagnosticar y solucionar errores en procesos desarrollados con Apache Spark y en la ejecución de diferentes flujos de datos., • Proporcionar soporte operativo sobre la plataforma de datos, incluyendo gestión de permisos, accesos y resolución de solicitudes técnicas., • Dar soporte y realizar troubleshooting sobre procesos ejecutados en Databricks., • Colaborar con equipos de Data Engineering y Data Quality para garantizar la estabilidad de los servicios y minimizar el impacto de nuevos despliegues., • Diseñar, optimizar y mantener pipelines de CI/CD asociados a procesos ETL y componentes comunes de la plataforma., • Gestionar el empaquetado, versionado y distribución de librerías y dependencias mediante Poetry., • Trabajar sobre arquitecturas de datos basadas en el modelo Medallion y tecnologías como Delta Tables e Iceberg., • Utilizar Python y SQL para analizar incidencias, depurar procesos y resolver problemas relacionados con los datos., • Entre 3 y 5 años de experiencia en posiciones relacionadas con DataOps, Data Engineering, soporte de aplicaciones de datos o similares., • Experiencia previa en soporte de aplicaciones de datos, DataOps o Data Engineering., • Dominio del lenguaje de programación Python y gestión de dependencias con Poetry (idealmente)., • Experiencia en la automatización de despliegues mediante herramientas de CI/CD (GitHub Actions, GitLab CI, Azure DevOps o similares)., • Conocimiento y experiencia de uso en entornos de Databricks y procesamiento de datos con Apache Spark., • Familiaridad con el almacenamiento de datos bajo la arquitectura Medallion utilizando Delta Tables e Iceberg., • Experiencia en la gestión de políticas de acceso, seguridad y gobernanza de datos., • Habilidad sólida en la escritura y optimización de consultas SQL para tareas de depuración., • Capacidad de diagnóstico y resolución de problemas de rendimiento en entornos de computación distribuida., • Experiencia en el uso de herramientas de gestión de incidencias y tickets de soporte (Jira, Confluence)., • Jornada completa y modalidad de trabajo híbrida en Barcelona., • Contratación indefinida desde el primer momento., • Retribución flexible, ticket restaurant, seguro médico y otros beneficios., • Formación continua y acceso a cursos y certificaciones., • Participación en proyectos tecnológicos dentro de entornos Data modernos y de gran volumen., • Desarrollo profesional dentro de un equipo especializado en Data Engineering y DataOps. Agap2 es una empresa que ofrece igualdad de oportunidades, por ello nos comprometemos a tratar todas las candidaturas por igual en función de sus capacidades, logros y experiencia. Animamos a cualquier persona a presentar su candidatura que será tratada con igualdad de oportunidades independientemente de su raza, nacionalidad, sexo, edad, discapacidad, orientación sexual, identidad de género o cualquier otra característica. #J-18808-Ljbffr

Appodeal is a dynamic US-based product company with a truly global presence. We have offices in Warsaw, Barcelona and Parkland (FL) along with remote team members located around the world. Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses! We take pride in our cutting‑edge product and our internationally dispersed team of talented professionals. Here’s what we value, and what we hope you do too: • Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers., • Making an Impact: We are committed to building a history‑defining company that leaves a lasting impact on the mobile app industry., • Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world‑class professionals and mentors., • Enjoying the Journey: We believe in having fun while working toward our goals. We are looking for a Senior MLOps Engineer to add to our Data team in Barcelona. Join the User Acquisition MLOps team that builds the core ML backbone of Appodeal. We design and run the systems that power real‑time predictions at massive scale, where every millisecond matters. Our work directly drives thousands of bidding operations each second, supporting a high‑throughput, low‑latency inference platform used across the company. You will help shape and evolve a modern ML platform built around Databricks, MLflow, Unity Catalog, GitHub Actions, and deep integrations with our Predictor service. This means solving real engineering challenges: scaling training pipelines, optimizing GPU workloads, ensuring safe and automated model promotions, and keeping online inference reliable under extreme load. You will collaborate daily with Data Science, Data Engineering, Runtime, DevOps, and Product, and you will fully own the systems and projects you touch. This is a role for engineers who like autonomy, impact, and building things that matter. • Design, operate, and improve the ML platform, including Databricks workflows for training, MLflow and Unity Catalog for model management, CI/CD pipelines using GitHub Actions and Databricks Asset Bundles, and integration with the runtime inference layer., • Support data scientists in developing and maintaining end‑to‑end training pipelines, covering data processing, feature transformations, ML model training on GPUs, and distributed training setups to ensure efficient and scalable workflows., • Ensure reliable and safe model inference by validating models before promotion, checking metadata compatibility, monitoring latency, and supporting model evaluation flows., • Maintain strong ML observability, including online and offline monitoring, data and feature parity checks, and automated validation of model performance in production., • Develop internal tools and APIs that enable DS teams and account managers to experiment, validate, and promote models efficiently while reducing operational friction., • 3+ years of experience in MLOps, ML Platform Engineering, or Backend roles supporting production ML systems., • Strong Python and software engineering skills, with experience building and maintaining APIs (FastAPI, Flask, or similar)., • Hands‑on experience with DNNs using PyTorch or other modern deep learning frameworks, including GPU training and optimizing hardware utilization., • Solid understanding of distributed computing and data processing using Apache Spark or similar frameworks., • Experience with Databricks (Jobs, MLflow, Delta, UC) or an equivalent cloud‑based ML platform., • Strong understanding of the ML lifecycle: data ingestion, experimentation, model packaging, deployment, and monitoring., • Familiarity with real‑time model inference systems and ensuring compatibility with downstream services., • Experience with data validation libraries (Pydantic or similar) used within ML and API workflows., • Good understanding of Docker containers, Kubernetes, and basic networking concepts., • Experience creating and maintaining CI/CD pipelines (GitHub Actions or similar)., • Experience with orchestration tools (Databricks Jobs, Dagster, Airflow or similar)., • Demonstrated ability to use modern AI tools (Claude, ChatGPT, Gemini) to improve development speed and quality., • Proactive mindset with a strong sense of ownership, consistently pushing work forward and anticipating next steps without needing close direction., • Exposure to very high‑load, low‑latency ML inference environments., • Knowledge of distributed or large‑scale ML training frameworks and multi‑GPU setups., • Familiarity with Databricks Asset Bundles., • Understanding of ONNX or other portable model serialization formats., • Ability to work with Rust programming language., • Familiarity with transformer architectures, encoder‑decoder models, or sequence modeling approaches., • Exposure to data engineering concepts, such as building scalable data pipelines, understanding CDC patterns, or working with structured and unstructured datasets., • Experience with MinIO or other S3‑compatible storage systems., • Understanding of networking protocols such as TCP, HTTP, and gRPC, including their limitations in low‑latency scenarios., • Confidence navigating the Atlassian ecosystem (Jira, Confluence, Compass). This position supposes relocation to Barcelona and work from our office in the city center. Why Join Us: • Opportunity to work on cutting‑edge projects with a global impact in the mobile app industry., • A collaborative and inclusive work culture that values innovation and continuous learning., • Competitive salary, flexible work arrangements, and a comprehensive benefits package., • Professional development opportunities and career growth prospects within a fast‑growing company. With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team. Join us and help shape the future of mobile app success! #J-18808-Ljbffr

Appodeal is a dynamic US-based product company with a truly global presence. We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world. Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. Why Appodeal? At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses! We take pride in our cutting-edge product and our internationally dispersed team of talented professionals. Here’s what we value, and what we hope you do too: • Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers., • Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry., • Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors., • Enjoying the Journey: We believe in having fun while working toward our goals. We are looking for a Senior MLOps Engineer to add to our Data team in Barcelona. Join the User Acquisition MLOps team that builds the core ML backbone of Appodeal. We design and run the systems that power real-time predictions at massive scale, where every millisecond matters. Our work directly drives thousands of bidding operations each second, supporting a high‑throughput, low‑latency inference platform used across the company. You will help shape and evolve a modern ML platform built around Databricks, MLflow, Unity Catalog, GitHub Actions, and deep integrations with our Predictor service. This means solving real engineering challenges: scaling training pipelines, optimizing GPU workloads, ensuring safe and automated model promotions, and keeping online inference reliable under extreme load. You will collaborate daily with Data Science, Data Engineering, Runtime, DevOps, and Product, and you will fully own the systems and projects you touch. This is a role for engineers who like autonomy, impact, and building things that matter. • Design, operate, and improve the ML platform, including Databricks workflows for training, MLflow and Unity Catalog for model management, CI/CD pipelines using GitHub Actions and Databricks Asset Bundles, and integration with the runtime inference layer., • Support data scientists in developing and maintaining end-to-end training pipelines, covering data processing, feature transformations, ML model training on GPUs, and distributed training setups to ensure efficient and scalable workflows., • Ensure reliable and safe model inference by validating models before promotion, checking metadata compatibility, monitoring latency, and supporting model evaluation flows., • Maintain strong ML observability, including online and offline monitoring, data and feature parity checks, and automated validation of model performance in production., • Develop internal tools and APIs that enable DS teams and account managers to experiment, validate, and promote models efficiently while reducing operational friction., • 3+ years of experience in MLOps, ML Platform Engineering, or Backend roles supporting production ML systems., • Strong Python and software engineering skills, with experience building and maintaining APIs (FastAPI, Flask, or similar)., • Hands‑on experience with DNNs using PyTorch or other modern deep learning frameworks, including GPU training and optimizing hardware utilization., • Solid understanding of distributed computing and data processing using Apache Spark or similar frameworks., • Experience with Databricks (Jobs, MLflow, Delta, UC) or an equivalent cloud‑based ML platform., • Strong understanding of the ML lifecycle: data ingestion, experimentation, model packaging, deployment, and monitoring., • Familiarity with real‑time model inference systems and ensuring compatibility with downstream services., • Experience with data validation libraries (Pydantic or similar) used within ML and API workflows., • Good understanding of Docker containers, Kubernetes, and basic networking concepts., • Experience creating and maintaining CI/CD pipelines (GitHub Actions or similar)., • Experience with orchestration tools (Databricks Jobs, Dagster, Airflow or similar)., • Demonstrated ability to use modern AI tools (Claude, ChatGPT, Gemini) to improve development speed and quality., • Proactive mindset with a strong sense of ownership, consistently pushing work forward and anticipating next steps without needing close direction., • Strong English communication skills., • Exposure to very high-load, low‑latency ML inference environments., • Knowledge of distributed or large‑scale ML training frameworks and multi‑GPU setups., • Familiarity with Databricks Asset Bundles., • Understanding of ONNX or other portable model serialization formats., • Ability to work with Rust programming language., • Familiarity with transformer architectures, encoder‑decoder models, or sequence modeling approaches., • Exposure to data engineering concepts, such as building scalable data pipelines, understanding CDC patterns, or working with structured and unstructured datasets., • Experience with MinIO or other S3‑compatible storage systems., • Understanding of networking protocols such as TCP, HTTP, and gRPC, including their limitations in low‑latency scenarios., • Confidence navigating the Atlassian ecosystem (Jira, Confluence, Compass). This position supposes relocation to Barcelona and work from our office in the city center. Why Join Us: • Opportunity to work on cutting‑edge projects with a global impact in the mobile app industry., • A collaborative and inclusive work culture that values innovation and continuous learning., • Competitive salary, flexible work arrangements, and a comprehensive benefits package., • Professional development opportunities and career growth prospects within a fast‑growing company. With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team. #J-18808-Ljbffr

Be among the first 25 applicants. Direct message the job poster from Virtusa. Location: Barcelona, Spain. Contract role. Hybrid 3 days a week from office. We are seeking a hands‑on AI Platform Engineer to design, build, and operate Databricks‑based data and AI platforms on AWS. You will enhance AI capabilities by leveraging Databricks (Workspace, Unity Catalog, Lakehouse, MLflow), modern cloud services, and DevOps/MLOps practices to deliver reliable, secure, and scalable platforms. As an AI Platform Engineer, you will invent and industrialize how the Project team uses Databricks, machine learning, and data. You will build, deploy, and evolve next‑generation platform capabilities at scale, partnering with data scientists, ML engineers, and platform teams to deliver a best‑in‑class developer experience on the Lakehouse. • Proficient in cloud operations on AWS, with strong understanding of scaling infrastructure and optimizing cost/performance., • Proven hands‑on experience with Databricks on AWS: workspace administration, cluster and pool management, job orchestration (Jobs/Workflows), repos, secrets, and integrations., • Strong experience with Databricks Unity Catalog: metastore setup, catalogs/schemas, data lineage, access control (ACLs, grants), attribute‑based access control, and data governance., • Expertise in Infrastructure as Code for Databricks and AWS using Terraform (databricks and aws providers) and/or AWS CloudFormation; experience with Databricks asset bundles or CLI is a plus., • Experience implementing CI/CD and GitOps for notebooks, jobs, and ML assets using GitHub and GitHub Actions (or GitLab/Jenkins), including automated testing and promotion across workspaces., • Ability to structure reusable libraries, package and version code, and enforce quality via unit/integration tests and linting. Proficiency with SQL for Lakehouse development., • Experiment tracking, model registry, model versioning, approval gates, and deployment to batch/real‑time endpoints (Model Serving)., • AWS IAM/STS, PrivateLink/VPC, KMS encryption, Secrets, SSO/SCIM provisioning, and monitoring/observability (CloudWatch/Datadog/Grafana)., • Experience with DevOps practices to enable automation strategies and reduce manual operations., • Experience or awareness of MLOps practices; building pipelines to accelerate and automate machine learning will be viewed favorably., • Excellent communication, cross‑functional collaboration, and stakeholder management skills., • Detail‑oriented, proactive, able to work independently and within a distributed team., • Design and implement scalable Databricks platform solutions to support analytics, ML, and GenAI workflows across environments (dev/test/prod)., • Administer and optimize Databricks workspaces: cluster policies, pools, job clusters vs. all‑purpose clusters, autoscaling, spot/fleet usage, and GPU/accelerated compute where applicable., • Implement Unity Catalog governance: define metastores, catalogs, schemas, data sharing, row/column masking, lineage, and access controls; integrate with enterprise identity and audit., • Build IaC for reproducible platform provisioning and configuration using Terraform; manage config‑as‑code for cluster policies, jobs, repos, service principals, and secret scopes., • Implement CI/CD for notebooks, libraries, DLT pipelines, and ML assets; automate testing, quality gates, and promotion across workspaces using GitHub Actions and Databricks APIs., • Standardize experiment structure, implement model registry workflows, and deploy/operate model serving endpoints with monitoring and rollback., • Develop and optimize Delta Lake pipelines (batch and streaming) using Auto Loader, Structured Streaming, and DLT; enforce data quality and SLAs with expectations and alerts., • Optimize cost and performance: rightsize clusters and pools, enforce cluster policies and quotas, manage DBU consumption, leverage spot/fleet, and implement chargeback/showback reporting., • Integrate observability: metrics/logs/traces for jobs, clusters, and model serving; configure alerting, on‑call runbooks, and incident response to reduce MTTR., • Ensure platform security and compliance: VPC design, PrivateLink, encryption at rest/in transit, secrets management, vulnerability remediation, and audit readiness; align with internal security standards and, where applicable, GxP controls., • Collaborate with cross‑functional teams to integrate the Databricks platform with data sources, event streams, downstream applications, and AI services on AWS., • Conduct technical research, evaluate new Databricks features (e.g., Lakehouse Federation, Vector Search, Mosaic AI), and propose platform improvements aligned to roadmap., • Regularly communicate progress, risks, and recommendations to client managers and development teams., • Hands‑on Databricks administration on AWS, including Unity Catalog governance and enterprise integrations., • Strong AWS foundation: networking (VPC, subnets, SGs), IAM roles and policies, KMS, S3, CloudWatch; EKS familiarity is a plus but not required for this Databricks‑focused role., • Proficiency with Terraform (including databricks provider), GitHub, and GitHub Actions., • Strong Python and SQL; experience packaging libraries and working with notebooks and repos., • Experience with MLflow for tracking and model registry; experience with model serving endpoints preferred., • Familiarity with Delta Lake, Auto Loader, Structured Streaming, and DLT., • Experience implementing DevOps automation and runbooks; comfort with REST APIs and Databricks CLI., • Git and GitHub proficiency; code review and branching strategies., • Mid‑Senior level, • Contract, • Analyst, • IT Services and IT Consulting and Data Infrastructure and Analytics Referrals increase your chances of interviewing at Virtusa by 2x. Get notified about new Platform Engineer jobs in Barcelona, Catalonia, Spain. #J-18808-Ljbffr

NTT DATA Europe & Latam busca un/a Data Engineer con experiencia para proyectos de transformación digital, donde se combinan procesamiento distribuido, arquitecturas cloud, automatización y DevOps, trabajando con equipos multiculturales. Trabajarás con Apache Spark, Databricks, MongoDB, Delta Lake, Apache Airflow, Azure Data Factory, Git y CI/CD, asegurando calidad, eficiencia y resolución de problemas en entornos cloud. #J-18808-Ljbffr

Join our Movement and Champion Restaurant Culture! At TheFork we believe that the best things in life happen around the table, and we are on a mission to connect the world’s favorite restaurants and the broadest community of loyal diners. Finding The Best Dining Experience For Our Diners Community Or Boosting Restaurant Performance For Our Restaurateurs Partners Has Never Been Easier Thanks To Our Signature Products • TheFork App: our free restaurant discovery & booking app that helps you find your next table with ease., • TheFork Manager: our innovative software tool that digitizes restaurant operations, empowering our Restaurateurs to manage bookings efficiently and boost their revenue., • TheFork PAY and TheFork Gift Card: quick and easy ways to pay directly from TheFork app At TheFork, we also believe that people truly make the difference. None of this would be possible without our vibrant Forkies community. Our strong core values—Better Together, Ownership, Respect, and Growth—are the guiding principles of everything we do, shaping our behaviors: “Come as you are,” “Dig in,” and “Make it Memorable”. TheFork leads the restaurant booking market in Europe and operates in 11 countries. Our offices boast a fully international team working together in a flexible, multicultural, and constructive environment that provides everyone with space to grow, both professionally and personally. To learn more about TheFork and our Forkies, explore our official site: We are on a journey to revolutionize our data capabilities through the modernization of our Data Platform, unlocking insights and innovations that will power the company’s future. We’re looking for a Senior Data Engineering Manager who can lead and inspire teams to drive the future of data in our company. If you’re passionate about leading from the front and pushing boundaries, join us on this journey. You will lead 2 teams composed of Data Engineers and Data Ops to implement and maintain best practices in data processing, according to the Data Lakehouse approach. You will work closely with Data Governance, Product Management and Architects to drive platform improvements and support the ever evolving needs of data and engineering teams. • Own the data platform roadmaps, • Enhance and maintain robust batch ingestion and validation pipelines., • Participate in our data transformation program taking direct ownership of the creation of a self-service data platform and contributing to the implementation of data governance principles., • Collaborate with engineering teams to implement engineering best practices within the data ecosystem., • Lead by example, fostering a culture of excellence and continuous improvement within the data engineering team, ensuring collaboration and alignment with broader business and product objectives, • Mentor and upskill team members, • Contribute to system architecture designs with Architects., • Coordinate and run Proofs of Concept (POCs). You will directly report to the Head of the tribe. • Proven leadership and mentorship experience guiding data engineering teams., • Extensive experience with Data Lakehouse architectures and implementation., • Solid understanding of Data Mesh, including domain ownership, federated governance, and data product design., • Solid understanding of Data Governance and Quality, covering metadata management, data lineage, and data observability in general., • Proven experience using AWS services and familiar with infrastructure as code (Terraform)., • Proficiency in Python, SQL, Snowflake and Airflow., • Experience with data modeling and knowledge of medallion architecture., • Experience with Apache Iceberg and Delta Lake., • Realtime data processing at scale., • An awesome team, • A permanent contract (that can be useful in life), • Flexible working environment (2 days home office per week + up to 4 total weeks additional flexibility during the summer period and in December to work fully remotely), • Competitive fixed salary & bonus, • Lunch vouchers available for each working day, • International teams and a multicultural environment spanning 10 offices across Europe, • Highly inclusive working environment, • Lifestyle benefits that can be used to reimburse expenses related to physical and leisure activities, family support, travel etc, • Continuous learning and development programs, • Free access to the Calm app to help you build resilience wherever you are in your mental health journey, • Dedicated parental leave and caregiver leave policies (12 weeks fully paid), • Health insurance, • Life & Disability Insurance at no cost to the employee, • Amazing offices with dining, a coffee point on each floor, and leisure area, • Team building events We believe that we are better together, and we welcome you for who you are. We endeavor to ensure that everyone - regardless of ability, age, socio-economic & cultural background, ethnicity, faith, gender, gender expression, gender identity, ideology, national origin, race, sexual orientation, marital status, or any characteristic protected under applicable law -has the opportunity to reach their full potential. At TheFork, we want you to bring us your unique perspectives and experiences, so we can collectively continue disrupting the restaurant industry and go from good to great. TheFork is committed to a fair recruitment process. If you have special needs and require reasonable support during your application, interview, or participation in the selection process due to health conditions or disability, please direct your inquiries to Our HR team will review the request and respond accordingly. #J-18808-Ljbffr

Data Engineer (Databricks, Python, Spark) At Hays, we are partnering with a leading global company in the financial services and investment management sector to find an experienced Data Engineer to join a strategic data transformation project. This is an exciting opportunity to work with international teams, modern cloud technologies, and large-scale financial datasets, helping build and enhance a key data platform that supports critical investment operations and analytics. What you will do • Design, develop, and maintain scalable data pipelines using Databricks., • Build Big Data solutions with Spark, PySpark, and cloud technologies., • Collaborate with global investment and technology teams to deliver data-driven solutions., • Support business stakeholders with data insights and reporting., • Contribute to best practices, CI/CD processes, and continuous improvement initiatives., • Explore and leverage AI and LLM technologies to enhance platform capabilities. What we are looking for • 3+ years of Data Engineering experience including 2+ years designing and building Databricks data pipelines is required., • 2+ years of hands-on Python/Pyspark/SparkSQL and/or Scala experience, • 2+ years of experience with Big Data pipelines or DAG Tools (Data Factory, Airflow, dbt, or similar), • 2+ years of Spark experience (especially Databricks Spark and Delta Lake), • 2+ years of hands-on experience implementing Big Data solutions in a cloud ecosystem, including Data/Delta Lakes, • Azure cloud is highly preferred, however will consider AWS, GCP or other cloud platform experience in lieu., • Experience with AI, LLMs, Databricks Genie or similar tools is required, • 2+ years of SQL experience, specifically to write complex, highly optimized queries across large volumes of data is highly desired, • Experience working in a controlled environment with Github and CI/CD release pipelines is highly desired, • Experience with financial data providers such as Bloomberg in an asset/investment management firm or other financial service company is a plus., • Experience with conceptual, logical and/or physical database designs is a plus, • Must be comfortable speaking English, • A positive attitude and a ‘can do’ mentality are essential What We Offer • Hybrid and flexible working model: only 1 day per week on-site at the Barcelona office (Via Augusta), • Opportunity to join a high-impact global data transformation program within a leading international financial services organization 💡 If you're passionate about building impactful solutions and want to be part of a collaborative, forward-thinking team, we’d love to hear from you.

• Data Engineer (AWS / PySpark / Kafka), • 100% remoto Sobre el perfil: Buscamos un/a Desarrollador/a Big Data con experiencia en entornos AWS para incorporarse a un proyecto de gran envergadura. Formarás parte de un equipo técnico especializado en el desarrollo, mantenimiento y optimización de soluciones Big Data, trabajando con tecnologías como PySpark, Spark Streaming, Kafka y AWS para el procesamiento de grandes volúmenes de datos. Funciones: • Desarrollo y mantenimiento de procesos de datos utilizando PySpark., • Diseño, construcción y optimización de pipelines de datos en entornos AWS., • Desarrollo de procesos ETL/ELT para el tratamiento de grandes volúmenes de información., • Implementación de soluciones de procesamiento en tiempo real mediante Spark Streaming y Kafka., • Transformación y explotación de datos mediante SQL., • Gestión de tablas y almacenamiento utilizando Iceberg y/o Delta Lake., • Automatización de procesos mediante Python., • Colaboración con equipos multidisciplinares bajo metodologías ágiles., • Control de versiones y colaboración mediante GitHub. Perfil buscado (H/M/D): • Más de 3 años de experiencia Big Data o Ingeniería de Datos., • Experiencia avanzada en Python y PySpark., • Experiencia avanzada en AWS (Amazon Web Services)., • Experiencia con Apache Spark y Spark Streaming., • Dominio de SQL para transformación y explotación de datos., • Experiencia con Apache Kafka o sistemas de mensajería similares., • Experiencia trabajando con Iceberg y/o Delta Lake., • Conocimientos de GitHub para control de versiones., • Valorable experiencia con Scala., • Qué ofrecemos Qué ofrecemos: • Proyecto de larga duración con tecnologías Big Data de última generación., • Modalidad 100% remota desde cualquier punto de España., • Incorporación a un equipo altamente especializado., • Entorno tecnológico innovador y colaborativo., • Oportunidades de crecimiento profesional y aprendizaje continuo., • Salario competitivo en función de la experiencia aportada. Siguientes pasos: • Si estás interesado en esta oferta, haz click en "aplicar ahora" para enviar una copia actualizada de tu CV.

Senior Data Engineer(Databricks) Location: Remote from Spain (an indefinite Spanish employment contract) We are hiring a Senior Data Engineer to join an Intellias delivery team on a large-scale enterprise data platform migration programme for a financial services client. This is a hands-on senior role. You will write production code every week, own architectural decisions on your workstream, and mentor a paired mid-level engineer. Project Overview: Our client is an independent, active global asset manager with over R3 trillion in assets under management. They are executing a firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains. As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog. Requirements: • 6+ years of data engineering experience, with at least the last three years on Databricks in production., • Deep hands-on experience with medallion / Lakehouse architecture, Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines and Databricks Asset Bundles., • Strong python, PySpark and SQL, comfortable diagnosing performance issues on large workloads through Spark UI and Photon., • Real production experience with streaming ingestion (Kafka Structured Streaming, Auto Loader) and CDC patterns., • Experience implementing data quality at scale (Great Expectations or equivalent), plus lineage, cataloguing and access control., • CI/CD on data platforms through Azure DevOps or GitHub Actions, with infrastructure as code (Terraform or equivalent)., • Fluent working English. Nice to have • Active Databricks certifications, • Prior exposure to investment management platforms, asset management operations data, market data feeds from major providers, • CDMP DAMA certification or equivalent data governance credential., • Experience applying agentic engineering tooling to production data engineering (not just personal productivity), including MCP-connected Databricks or cloud servers. Responsibilities: • Perform the end-to-end delivery of one or more priority data domains on Azure Databricks., • Design and build medallion (Bronze / Silver / Gold) pipelines using Lakeflow Declarative Pipelines, Auto Loader, Structured Streaming and Delta Lake with Liquid Clustering., • Register curated data products in Unity Catalog with the correct tags, masks, row filters, lineage and access policies., • Implement data quality gates at the Silver-to-Gold boundary, and refine rules with domain stewards., • Package and deploy work using Databricks Asset Bundles through Azure DevOps CI/CD, • Write automated tests and documentation, • Work at AI-as-Collaborator level today with a path to AI-as-Orchestrator, using Claude Code, Databricks Assistant, GitHub Copilot and MCP-connected agent tooling to accelerate the recurring parts of pipeline build, test and deploy. Why this position: Build within a large-scale enterprise data platform migration from day one, designing and delivering the pipelines, ingestion patterns and domain migrations that bring a 70+ sub-domain data strategy to life. You'll work hands-on with the leading edge of the Databricks ecosystem on a high-stakes lakehouse build, applying agentic engineering tooling to accelerate delivery, and working closely with the architecture team to turn platform standards into working, production-grade data.

Senior Data Engineer(Databricks) Location: Remote from Spain (an indefinite Spanish employment contract) We are hiring a Senior Data Engineer to join an Intellias delivery team on a large-scale enterprise data platform migration programme for a financial services client. This is a hands-on senior role. You will write production code every week, own architectural decisions on your workstream, and mentor a paired mid-level engineer. Project Overview: Our client is an independent, active global asset manager with over R3 trillion in assets under management. They are executing a firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains. As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog. Requirements: • 6+ years of data engineering experience, with at least the last three years on Databricks in production., • Deep hands-on experience with medallion / Lakehouse architecture, Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines and Databricks Asset Bundles., • Strong python, PySpark and SQL, comfortable diagnosing performance issues on large workloads through Spark UI and Photon., • Real production experience with streaming ingestion (Kafka Structured Streaming, Auto Loader) and CDC patterns., • Experience implementing data quality at scale (Great Expectations or equivalent), plus lineage, cataloguing and access control., • CI/CD on data platforms through Azure DevOps or GitHub Actions, with infrastructure as code (Terraform or equivalent)., • Fluent working English. Nice to have • Active Databricks certifications, • Prior exposure to investment management platforms, asset management operations data, market data feeds from major providers, • CDMP DAMA certification or equivalent data governance credential., • Experience applying agentic engineering tooling to production data engineering (not just personal productivity), including MCP-connected Databricks or cloud servers. Responsibilities: • Perform the end-to-end delivery of one or more priority data domains on Azure Databricks., • Design and build medallion (Bronze / Silver / Gold) pipelines using Lakeflow Declarative Pipelines, Auto Loader, Structured Streaming and Delta Lake with Liquid Clustering., • Register curated data products in Unity Catalog with the correct tags, masks, row filters, lineage and access policies., • Implement data quality gates at the Silver-to-Gold boundary, and refine rules with domain stewards., • Package and deploy work using Databricks Asset Bundles through Azure DevOps CI/CD, • Write automated tests and documentation, • Work at AI-as-Collaborator level today with a path to AI-as-Orchestrator, using Claude Code, Databricks Assistant, GitHub Copilot and MCP-connected agent tooling to accelerate the recurring parts of pipeline build, test and deploy. Why this position: Build within a large-scale enterprise data platform migration from day one, designing and delivering the pipelines, ingestion patterns and domain migrations that bring a 70+ sub-domain data strategy to life. You'll work hands-on with the leading edge of the Databricks ecosystem on a high-stakes lakehouse build, applying agentic engineering tooling to accelerate delivery, and working closely with the architecture team to turn platform standards into working, production-grade data.

• Data Engineer (AWS / PySpark / Kafka), • 100% remoto Sobre el perfil: Buscamos un/a Desarrollador/a Big Data con experiencia en entornos AWS para incorporarse a un proyecto de gran envergadura. Formarás parte de un equipo técnico especializado en el desarrollo, mantenimiento y optimización de soluciones Big Data, trabajando con tecnologías como PySpark, Spark Streaming, Kafka y AWS para el procesamiento de grandes volúmenes de datos. Funciones: • Desarrollo y mantenimiento de procesos de datos utilizando PySpark., • Diseño, construcción y optimización de pipelines de datos en entornos AWS., • Desarrollo de procesos ETL/ELT para el tratamiento de grandes volúmenes de información., • Implementación de soluciones de procesamiento en tiempo real mediante Spark Streaming y Kafka., • Transformación y explotación de datos mediante SQL., • Gestión de tablas y almacenamiento utilizando Iceberg y/o Delta Lake., • Automatización de procesos mediante Python., • Colaboración con equipos multidisciplinares bajo metodologías ágiles., • Control de versiones y colaboración mediante GitHub. Perfil buscado (H/M/D): • Más de 3 años de experiencia Big Data o Ingeniería de Datos., • Experiencia avanzada en Python y PySpark., • Experiencia avanzada en AWS (Amazon Web Services)., • Experiencia con Apache Spark y Spark Streaming., • Dominio de SQL para transformación y explotación de datos., • Experiencia con Apache Kafka o sistemas de mensajería similares., • Experiencia trabajando con Iceberg y/o Delta Lake., • Conocimientos de GitHub para control de versiones., • Valorable experiencia con Scala., • Qué ofrecemos Qué ofrecemos: • Proyecto de larga duración con tecnologías Big Data de última generación., • Modalidad 100% remota desde cualquier punto de España., • Incorporación a un equipo altamente especializado., • Entorno tecnológico innovador y colaborativo., • Oportunidades de crecimiento profesional y aprendizaje continuo., • Salario competitivo en función de la experiencia aportada. Siguientes pasos: • Si estás interesado en esta oferta, haz click en "aplicar ahora" para enviar una copia actualizada de tu CV.

• Data Engineer (AWS / PySpark / Kafka), • 100% remoto Sobre el perfil: Buscamos un/a Desarrollador/a Big Data con experiencia en entornos AWS para incorporarse a un proyecto de gran envergadura. Formarás parte de un equipo técnico especializado en el desarrollo, mantenimiento y optimización de soluciones Big Data, trabajando con tecnologías como PySpark, Spark Streaming, Kafka y AWS para el procesamiento de grandes volúmenes de datos. Funciones: • Desarrollo y mantenimiento de procesos de datos utilizando PySpark., • Diseño, construcción y optimización de pipelines de datos en entornos AWS., • Desarrollo de procesos ETL/ELT para el tratamiento de grandes volúmenes de información., • Implementación de soluciones de procesamiento en tiempo real mediante Spark Streaming y Kafka., • Transformación y explotación de datos mediante SQL., • Gestión de tablas y almacenamiento utilizando Iceberg y/o Delta Lake., • Automatización de procesos mediante Python., • Colaboración con equipos multidisciplinares bajo metodologías ágiles., • Control de versiones y colaboración mediante GitHub. Perfil buscado (H/M/D): • Más de 3 años de experiencia Big Data o Ingeniería de Datos., • Experiencia avanzada en Python y PySpark., • Experiencia avanzada en AWS (Amazon Web Services)., • Experiencia con Apache Spark y Spark Streaming., • Dominio de SQL para transformación y explotación de datos., • Experiencia con Apache Kafka o sistemas de mensajería similares., • Experiencia trabajando con Iceberg y/o Delta Lake., • Conocimientos de GitHub para control de versiones., • Valorable experiencia con Scala., • Qué ofrecemos Qué ofrecemos: • Proyecto de larga duración con tecnologías Big Data de última generación., • Modalidad 100% remota desde cualquier punto de España., • Incorporación a un equipo altamente especializado., • Entorno tecnológico innovador y colaborativo., • Oportunidades de crecimiento profesional y aprendizaje continuo., • Salario competitivo en función de la experiencia aportada. Siguientes pasos: • Si estás interesado en esta oferta, haz click en "aplicar ahora" para enviar una copia actualizada de tu CV.

Somos Plexus Tech, una compañía tecnológica con más de 4.000 profesionales y más de 25 años de experiencia desarrollando productos y servicios de innovación que mejoran la vida de personas y empresas. Con más de 20 centros de trabajoen España y presencia global, colaboramos con casi el 80% de las compañías del IBEX35, liderando proyectos tecnológicos en sectores clave. Necesitamos incoporar profesionales con visión, experiencia y ganas de formar parte de proyectos reales, complejos y con impacto Buscamos un/a Data Engineer - Databricks + AWS Senior para unirse al equipo y participar en proyectos que seguro podrán potenciar tu crecimiento profesional. Requisitos técnicos: • Databricks: Unity Catalog., • Databricks: Delta y Delta Sharing., • Azure (genérico): gestión de grupos, acceso a datos, permisos de BBDD, tablas, etc., • AWS: arquitectura de referencia "Cuenta Domain", EMR, Athena, Glue Catalog y Lake Formation., • Experiencia en Infraestructura como Código (Terraform)., • Conocimientos de seguridad y buenas prácticas DevSecOps. Lo que ofrecemos: • Participar en proyectos innovadores con impacto real, en sectores clave, con tecnologías punteras y clientes nacionales e internacionales., • Flexibilidad real con nuestro modelo Flexology: trabaja desde casa, en nuestros centros o desde donde tu talento fluya mejor. Tú eliges., • Retribución flexible para optimizar tu salario, con ventajas fiscales en tickets restaurante, transporte, guardería, seguro médico y más, adaptados a ti, • Formación continua y desarrollo profesional, con acceso a certificaciones y herramientas digitales como LinkedIn Learning para que nunca dejes de crecer, • Un entorno BabyFriendly, donde celebramos cada nuevo bebé con un kit especial y promovemos la conciliación para avanzar en igualdad Compromiso con la igualdad Plexus Tech mantiene un compromiso firme con las políticas de Igualdad de empresa. Todos nuestros procesos de selección tienen en cuenta la igualdad de oportunidades entre hombres y mujeres de forma transversal, quedando esto reflejado en nuestro Plan de Igualdad. Fomentamos la igualdad de trato y de oportunidades para toda persona, de modo que ninguna razón de nacimiento, raza, sexo, religión, opinión o cualquier otra condición o circunstancia personal o social cause discriminación. En particular, la organización está comprometida con la creación de un contexto favorable a la diversidad y avance en la erradicación de la discriminación de las personas LGTBI, independientemente de su orientación e identidad sexual o su expresión de género.

Buscamos un/a Técnico/a de Administración de Personal y Nóminas en Barcelona ¿Tienes experiencia en gestión laboral y nóminas y quieres formar parte de un entorno dinámico? ¡Esta oportunidad es para ti! Funciones principales- Gestión de altas, bajas y variaciones en TGSS, INEM y Mutuas. - Elaboración de contratos laborales. - Gestión de afiliación y cotización a la Seguridad Social. - Confección de nóminas. - Cálculo y regularización de IRPF. - Aplicación de convenios colectivos. - Cálculo de atrasos e incidencias. - Uso de plataformas: Sistema RED, Cret@, Contrat@, Delta, Certificad@s. ¿Cuál será tu misión?Te incorporarás al área de Administración de Personal, gestionando de manera integral los procesos relacionados con nómina y gestión laboral. En Adecco creemos en la igualdad de oportunidades y apostamos por el Talento Sin Etiquetas Requisitos ¿Qué buscamos? - Diplomatura en Relaciones Laborales (o similar) - +3 años de experiencia en administración de personal y nóminas - Dominio de A3NOM y manejo de EXEL. - Nivel alto de catalán - Experiencia con herramientas de la Administración ¿Qué ofrecemos? - Contrato de 6 meses (proyecto de refuerzo) - Incorporación inmediata - Salario: 28.000 € brutos/año - Jornada completa: 39,5 h/semana (Jornada intensiva en verano) Modalidad: Inicio 100% presencial, Posibilidad de teletrabajo progresivo Horario Lunes a miércoles: 08:0017:00 / 09:0018:00 Jueves: 08:0018:00 / 09:0019:00 (turnos) Viernes: 08:0015:00 Verano (15 julio 15 septiembre): 08:0015:00

🎯Data Engineer Senior (Azure & Databricks) – Sector Seguros Ubicación: Un día presencial en oficina de Barcelona Buscamos perfiles de Data Engineers para unirse a un proyecto estratégico de larga duración en el sector de los seguros. Se trata de un proyecto desde cero de migración y construcción de una plataforma de datos moderna utilizando el stack de Databricks. Tu misión será liderar el diseño y la construcción de Data Marts anonimizados dentro de una plataforma de datos corporativa de última generación, asegurando los más altos estándares de calidad, seguridad y cumplimiento. 🛠️ ¿Qué harás? • Diseñar y construir Data Marts robustos dentro de un ecosistema Cloud., • Desarrollar documentación técnica exhaustiva y metodologías de gestión de datos., • Optimizar jobs en Apache Spark y gestionar flujos de trabajo en Databricks., • Garantizar la calidad del dato mediante pruebas, CI/CD y mejores prácticas de ingeniería de software., • Implementar protocolos de anonimización para asegurar el cumplimiento normativo. 👨 💻 Perfil buscado • Experiencia: Mínimo 4 años en roles de Data Engineering., • Cloud: Dominio experto de Azure (Data Factory, ADLS)., • Databricks: Conocimiento avanzado (Delta Lake, Workflows, Spark Optimization)., • Lenguajes: Programación experta en Python (PySpark) y SQL sólido., • Arquitectura: Trayectoria probada en entornos Lakehouse / Medallion., • Ingeniería: Sólidos conocimientos en CI/CD y control de versiones., • Idiomas: Inglés fluido (nivel C1 escrito y hablado). 🤝 Habilidades Clave • Mentalidad proactiva y gran capacidad para la resolución de problemas técnicos., • Foco en la escritura de Clean Code y código mantenible., • Atención al detalle y capacidad para trabajar de forma independiente. 📍 Condiciones • Ubicación: Barcelona (Modelo Híbrido)., • Viajes: No requeridos., • Proyecto: Impacto directo en la estrategia de datos de una gran corporación. 💙 ¿Por qué unirte a Extia? En Extia creemos firmemente en nuestro lema: “Who first, then what.” Primero la persona, después el proyecto. ✨ Flexibilidad real – Modelo adaptado a tu proyecto y equilibrio vida personal/profesional 📚 Plan de formación personalizado – Diseñamos contigo tu roadmap de evolución 🤝 Triple Seguimiento – Un Coach, un Manager y un HR siempre a tu lado. 🎁 Paquete de beneficios competitivo – Seguro Médico (incl. Fisioterapia y Psicología) + Ticket Restaurante + Transporte 🌍 Entorno internacional – Más de 3.000 colaboradores en Europa y Canada 🏆 Great Place to Work – Cultura basada en cercanía, transparencia y acompañamiento real 🎉 Eventos, afterworks y comunidad activa – Team buildings, acciones solidarias, meetups, celebraciones internas… ¡Nos gusta compartir más allá del trabajo! 📩 ¿Te interesa o conoces a alguien? Si buscas un nuevo reto en datos donde tu experiencia cuente desde el primer día, ¡estamos deseando conocerte! #Firstwhothenwhat

Senior Data Engineer | Azure Databricks, Kafka & Industrial Data Zona Martorell–Rubí (Vallés Occidental) | Híbrido, 50% remoto | 60.000–75.000 € | Contrato indefinido | Vehículo propio imprescindible Desde Akuaro colaboramos con un gran grupo industrial europeo que está creando una nueva Oficina de Transformación Digital para llevar la ingeniería de datos y la inteligencia artificial directamente a sus operaciones. La compañía cuenta con un backlog de iniciativas de Data e IA relacionadas con producción, energía, materias primas, logística y eficiencia industrial. Algunos de sus primeros proyectos buscan mejorar procesos productivos críticos, donde pequeños incrementos de eficiencia pueden generar un impacto económico de millones de euros. No es una posición de reporting ni de mantenimiento de ETLs básicos. Buscamos a una persona que ayude a construir la plataforma que conectará las plantas industriales con Microsoft Azure y Databricks, creando la base necesaria para desarrollar productos de datos y desplegar modelos de Machine Learning e inteligencia artificial. Te incorporarás directamente a la plantilla de la compañía y formarás parte de un equipo interno de nueva creación. Durante los primeros meses trabajarás junto a un partner estratégico y tecnológico internacional de primer nivel, participando en la transferencia de conocimiento y asumiendo progresivamente el ownership de las soluciones desarrolladas. Tu misión Diseñar, construir y operar pipelines fiables y escalables que conecten los sistemas industriales de planta con la plataforma corporativa de datos. Los equipos de sistemas de planta —OT, Operational Technology— capturan las señales procedentes de sensores, PLC y MES, y las publican localmente en Kafka. Tu responsabilidad se centrará principalmente desde Kafka hacia arriba: ingesta, persistencia, transformación, gobierno y explotación del dato en Azure y Databricks. ¿Qué harás? • Diseñar y desarrollar pipelines de datos utilizando Python y SQL., • Ingerir información industrial desde Kafka hacia Azure y Databricks., • Desarrollar pipelines sobre una arquitectura Lakehouse / Medallion, trabajando con capas Bronze, Silver y Gold., • Trabajar con procesamiento batch, microbatch y streaming., • Integrar información de planta con datos corporativos procedentes de SAP y otros sistemas., • Gestionar grandes volúmenes, datos retrasados, duplicidades, reintentos e idempotencia., • Aplicar buenas prácticas de calidad, observabilidad, trazabilidad y monitorización., • Trabajar con Apache Spark, Delta Lake y Databricks., • Colaborar en el gobierno del dato mediante Unity Catalog y Microsoft Purview., • Participar en la automatización de infraestructura y despliegues con Terraform y Azure DevOps., • Construir productos de datos reutilizables, mantenibles y documentados., • Colaborar con Data Scientists en la puesta en producción y el reentrenamiento de modelos., • Trabajar con equipos de arquitectura, seguridad, sistemas y expertos industriales. ¿Qué necesitamos? • Experiencia sólida construyendo y manteniendo pipelines de datos en producción., • Buen nivel de Python y SQL., • Experiencia con Spark, Databricks o plataformas Lakehouse equivalentes., • Conocimiento práctico de arquitecturas ETL/ELT y procesamiento de grandes volúmenes., • Experiencia con alguna plataforma cloud, preferentemente Microsoft Azure., • Capacidad para desarrollar soluciones mantenibles, documentadas y escalables., • Perfil hands-on, con interés tanto por el diseño como por la implementación., • Capacidad para colaborar con equipos técnicos, negocio y expertos industriales., • Inglés profesional alto, hablado y escrito., • Vehículo propio y disponibilidad para desplazarse regularmente a las instalaciones de la zona Martorell–Rubí. Será especialmente valorable • Azure Databricks, Spark Structured Streaming y Delta Lake., • Kafka y otras tecnologías de streaming o mensajería como MQTT o MQ., • Arquitectura Medallion: Bronze, Silver y Gold., • Terraform, Azure DevOps y procesos de CI/CD., • Unity Catalog o Microsoft Purview., • Integraciones con SAP., • Datos procedentes de sensores, IoT o series temporales., • Sistemas industriales como MES, SCADA, historians o PLC., • Arquitecturas edge computing., • Integración entre sistemas industriales —OT— y plataformas corporativas —IT—., • Experiencia en automoción, química, energía, farma, alimentación, utilities o manufacturing. ¿Qué encontrarás? • Un proyecto estratégico respaldado directamente por la dirección tecnológica., • Una plataforma de datos que se está construyendo y evolucionando., • Casos de uso con impacto directo sobre producción, energía y eficiencia., • Colaboración con grandes profesionales y partners internacionales., • Autonomía y capacidad real para proponer soluciones y buenas prácticas., • Modelo híbrido con un 50% de teletrabajo, autogestionado según las necesidades del proyecto., • Horario de entrada flexible entre las 8:00 y las 9:30., • Jornada intensiva de verano., • Aparcamiento en las propias instalaciones., • Comedor de empresa subvencionado al 50%., • Acceso a formación., • Sin guardias., • Retribución fija de entre 60.000 y 75.000 € brutos anuales, según experiencia. Importante: Las instalaciones se encuentran en un polígono industrial de la zona Martorell–Rubí ( Vallés Occidental ). Por su ubicación y las conexiones disponibles, disponer actualmente de vehículo propio es un requisito necesario.

¡Hola! Somos una empresa tecnológica con producto propio, especializada en el desarrollo de soluciones de software para entornos críticos del sector aeronáutico. Creamos tecnología robusta, escalable y alineada con las necesidades reales del negocio, trabajando sobre ecosistemas Microsoft para garantizar fiabilidad, integración y capacidad de evolución. En Airplane Solutions buscamos un perfil Senior Azure Data Engineer que se una a nuestro equipo para diseñar, implementar y optimizar soluciones de datos escalables en Microsoft Azure y Microsoft Fabric, liderando desde la ingesta hasta la entrega de insights, incluyendo la gobernanza, seguridad de los datos y la integración de capacidades de IA. 🎓 Formación: • Grado en Ingeniería Informática, Telecomunicaciones, Estadística o similar. 💼 Experiencia: • +3 años de experiencia realizando funciones similares a las descritas. 🎯Tus principales funciones serán: 1. Diseño y orquestación de pipelines de datos • Creación, despliegue y monitorización de pipelines en Azure Data Factory y/o Azure Databricks., • Estrategias de ingestión batch y streaming (Event Hubs, Azure Stream Analytics). 1. Procesamiento y almacenamiento • Modelado y optimización en Azure Synapse Analytics y Azure SQL Data Warehouse., • Gestión de grandes volúmenes en Azure Data Lake Storage Gen2 con partición y compresión., • Políticas de seguridad y cifrado (en reposo y en tránsito). 1. Azure Data Explorer (ADX) y Kusto Query Language (KQL) • Diseño de tablas ADX: ingestión por pipelines, SDKs, Event Grid., • KQL avanzado: consultas exploratorias, agregaciones, series temporales., • Funciones y políticas: parsejson, mv-expand, estimatedstatistics, update policies., • Integración: Power BI DirectQuery y dashboards nativos ADX., • Monitorización: ajuste de clústeres, escalado y análisis de costes con Azure Monitor. 1. Microsoft Fabric • Lakehouse & Warehouse: unificación de Data Lake y Synapse en un entorno integrado., • Pipelines en Fabric: orquestación con Data Factory en Fabric, notebooks de Spark en Spark Compute., • Data Engineering en Fabric: Spark SQL, PySpark y C# en Notebooks; optimización con Delta tables nativas., • Governance & Security: Control con Purview integrado, políticas de acceso unificadas y encriptación automática., • Fabric Workloads: integración de Data Science (ML), Power BI en Fabric, Data Activator para eventos en tiempo real. 1. Integración y desarrollo • Transformaciones avanzadas con Apache Spark (PySpark/Scala) en Databricks o Fabric Spark Compute., • Azure Functions y .NET para microservicios data-driven., • IaC con Terraform, Bicep o ARM Templates. 1. Business Intelligence y visualización • Dashboards en Power BI sobre Fabric or Synapse, DAX avanzado, DirectQuery/Composite Models., • DataOps y MLOps: CI/CD para pipelines, despliegues automáticos con Azure DevOps. 💡 Requerimientos: • +4 años en Data Engineering sobre Azure y Fabric., • DP-203 skills: almacenamiento, procesamiento y continuidad operativa., • SQL avanzado, Python (pandas, PySpark) y/o Scala., • AKS y contenedores., • Inglés técnico fluido (B2) ¿Qué ofrecemos? 📄 Proyecto estable con contrato indefinido. 💰 Salario acorde a la experiencia y los conocimientos que aportas. 🏠 Modalidad de trabajo híbrida, nos adaptamos a tus necesidades y a las del proyecto. ⏰ Flexibilidad horaria, solo tienes que coordinarte con tu equipo. 🕒 Viernes y agosto jornada intensiva. 🏖️ 23 días de vacaciones + 2 flexidays. 🎂 Día de cumpleaños libre para que lo disfrutes como quieras. 🎓 Certificaciones oficiales de Microsoft, apostamos por tu formación y crecimiento. 🏆Eventos y Teambuildings para desconectar y compartir momentos con el equipo. 🤝Un ambiente de trabajo basado en la confianza y la corresponsabilidad de todo el equipo. Beneficios: ⚕️Seguro médico y dental para que te centres en lo importante: tu bienestar. 🍽 Ticket restaurante a cargo de la empresa. 💻 Ayuda para la formación en inglés o bienestar físico. 🪙 Retribución flexible: puedes repartir parte de tu salario en productos o servicios con exención fiscal. Si has llegado hasta aquí, seguro que te apetece conocernos un poco más… ¿Cómo somos en Airplane? Profesionales, Cercanos, Curiosos, Talentosos, Diversos, por eso buscamos atraer al mejor talento para que se una a nuestro equipo. … ¡y un dato importante! Las investigaciones han demostrado que las mujeres son menos propensas que los hombres a postularse para un puesto si no tienen una experiencia sólida en el 100% de lo que se busca en las ofertas de empleo. En Airplane creemos que la diversidad de género en el equipo, al incluir diferentes perspectivas y experiencias, nos permite innovar y encontrar soluciones más creativas y eficientes. Así que, incluso si crees que solo tienes un 75% de coincidencia, no dudes en participar en el proceso, porque las habilidades se pueden aprender, la diversidad no 👩🏻 💻👩🏽 💻 No pierdas la oportunidad... ¡Contáctanos! 📥

Apache Spark, Databricks, MongoDB, Delta Lake, Apache Airflow, Azure Data Factory, Git y CI/CD. Delta Lake, Apache Airflow y Azure Data Factory. Delta Lake, Apache Airflow y Azure Data Factory.