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We’re looking for a Database Systems Engineer who thrives at the frontier of distributed databases, storage engines, transactional systems, and analytical query execution.Database Systems Engineer — Distributed Storage & Transactional Query EnginesRole SummaryFastS3 is building AI-native data infrastructure from the ground up. We are looking for an engineer to help design the database layer that sits above PixelDB, our distributed key/value object storage engine, and works with TEMPANO, our custom Iceberg catalog and compaction API.This role is not about building a conventional application database, a Postgres extension, or a simple lakehouse connector. It is about helping design the foundation for a system that can support transactional, analytical, and vector workloads over the same live data layer.You’ll work closely with engineering leadership to prototype and build the core components of a distributed table engine: commit logs, MVCC, stable Row IDs, secondary indexes, snapshot publication, compaction, query execution, and integration with Iceberg-style table metadata.What You’ll Be DoingDesign and prototype a transactional table engine on top of PixelDB.Work on MVCC, commit logs, transaction visibility, snapshot isolation, and serializable consistency.Design stable Row ID abstractions so indexes point to logical rows rather than physical storage locations.Build metadata and manifest flows that connect live transactional writes to TEMPANO and Iceberg-compatible analytical snapshots.Help design compaction, version cleanup, and garbage collection that do not block long-running analytical queries.Explore query execution paths for point reads, range scans, analytical scans, joins, and vector retrieval.Work on distributed storage layout, partitioning, object placement, erasure‑coded data, and recovery semantics.Collaborate with systems and AI engineers to support agentic workloads that require transactional, analytical, and semantic access to live data.Benchmark latency, throughput, consistency behavior, write amplification, and query performance under concurrent workloads.What We Need to SeeStrong systems programming experience in Rust, C++, Go, or C.Practical knowledge of database internals, storage engines, distributed databases, or query engines.Experience with MVCC, WAL/commit logs, transaction processing, indexing, compaction, or recovery.Understanding of distributed systems concepts such as consensus, replication, failure recovery, consistency, and concurrency control.Familiarity with analytical formats or engines such as Apache Iceberg, Delta Lake, Parquet, Arrow, Trino, Spark, DuckDB, or ClickHouse.Ability to reason deeply about tradeoffs between OLTP, OLAP, and vector workloads.Comfort moving from architectural design to prototype code, benchmarks, and production‑quality implementation.Strong debugging, profiling, and performance‑analysis skills.Ways to Stand OutExperience building or contributing to database kernels, storage engines, query planners, transaction managers, or distributed SQL systems.Hands‑on work with PostgreSQL internals, CockroachDB, YugabyteDB, TiDB, FoundationDB, ScyllaDB, Cassandra, ClickHouse, DuckDB, Neon, or similar systems.Experience with Apache Iceberg, Delta Lake, table catalogs, manifest generation, compaction, or lakehouse metadata.Knowledge of vector indexes such as HNSW, IVF, PQ, ANN search, or hybrid vector/SQL execution.Experience designing systems around stable logical IDs, append‑only storage, object storage, LSM trees, B‑trees, or log‑structured architectures.Background in high‑performance networking, distributed storage, RDMA, erasure coding, or object storage.Open‑source contributions, papers, or deep technical writing related to databases, storage engines, or distributed systems.Why Join Us?FastS3 is building infrastructure for the next generation of AI‑native data systems. Our vision is to move beyond fragmented pipelines, replicated warehouses, and bolt‑on vector extensions by designing a data layer where transactional, analytical, and semantic workloads can operate over the same live data.You’ll join a team working at the intersection of distributed storage, database internals, lakehouse architecture, vector retrieval, and AI infrastructure. If you’re excited by the idea of building a new database architecture instead of extending yesterday’s systems, this is the role.We’re growing our team in Madrid and looking for engineers who want to build core infrastructure from first principles.FastS3 is proud to be an inclusive, equal opportunity employer committed to diversity, equity, and accessibility for all.#J-18808-Ljbffr

Are you a Principal Engineer or Architect who excels at translating complex client goals into robust, production-ready lakehouse architectures?Excited to bridge the gap between deep technical execution (Spark, Python, DataOps) and executive-level consulting across multi-cloud environments?So please, take a few minutes and read about your potential new job.Our client is an innovative AI and data solutions consultancy and we are seeking a motivated Senior Data Architect.In this customer-facing role, you will lead the end-to-end design, implementation, and optimization of scalable data platforms built on Databricks and modern cloud ecosystems.As a technical authority, you will drive high-impact client engagements across data engineering, advanced analytics, and AI initiatives. You will partner directly with client stakeholders, enterprise partners, and internal engineering teams to migrate legacy systems, deploy production-grade lakehouse architectures, and ensure seamless technology adoption.This is a 100% fully remote role in Spain and it involves working with customers in US Eastern time zone.Your tasks will include:Translate client business objectives into scalable, secure, and cost-optimized data platform architectures powered by Databricks.Oversee complex implementations, including legacy data warehouse migrations, lakehouse deployments, and enterprise analytics solutions.Design, build, and productionize robust end-to-end data ingestion pipelines and transformation workflows using Databricks, Apache Spark, Python, SQL, and cloud-native services.Assist in scoping professional services engagements by delivering technical solution designs, architectural blueprints, and accurate effort estimations.Partner with the delivery teams, client engineers, and project managers to drive on-time, high-quality technical execution.Troubleshoot complex implementation challenges, author architectural documentation, and establish best practices to support long-term client self-sufficiency.To be a good fit for the Senior Data Architect you will have:8+ years of hands-on experience in data engineering, data architecture, or big data platform development.Proficient in Python and SQL; strong expertise in distributed computing and Apache Spark (Scala experience preferred).Proven track record building and deploying modern data platforms using Databricks (or comparable technologies) alongside at least one major cloud provider (AWS, Azure, or GCP).Familiarity with CI/CD automation, DevOps best practices for data operations (DataOps), and production-grade pipeline management.Exceptional consulting skills with demonstrated ability to lead technical workshops, communicate complex concepts to key stakeholders, and steer architectural decisions.Preferred Qualifications:Hands-on experience deploying machine learning platforms and production MLOps workflows.Demonstrated success migrating legacy ETL/data warehouse environments to modern cloud data platforms.Active Databricks certifications (e.G., Databricks Certified Professional Data Engineer).Previous experience in enterprise professional services, technical consulting, or client-facing solutions engineering.Reasons to join:Open to B2B and permanent contractDeep-dive into modern Lakehouse architectures (Medallion model, Delta Lake, PySpark) with a team that specializes exclusively in high-performance cloud data and AI platforms.Beyond core ETL, your work directly powers enterprise AI, MLOps, and Generative AI initiatives offering a clear path to upskill in AI/ML engineering.Enjoy total location independence anywhere in Spain with flexible working hours designed around trust, outcomes, and work-life balance.Solve complex data engineering challenges for top-tier enterprise clients across finance, healthcare, and tech without the corporate red tape.Gain continuous hands-on experience with emerging Databricks features, multi-cloud platforms (Azure, AWS, GCP), and automated CI/CD data workflows.Benefit from a straightforward, transparent B2B contract structure with stability, competitive compensation, and long-term project pipelines.#J-18808-Ljbffr

At DATAPAO, data ignites passion, community fuels collaboration, and growth knows no bounds.¿Le gusta esta oportunidad? Asegúrese de inscribirse rápido, ya que se espera un gran volumen de solicitudes. Desplácese hacia abajo para leer la descripción completa del puesto.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 aSenior AI Engineerto 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.What will you do?As our first AI Engineer in Spain, you’ll lead engagements to help our customersbuild and productionize tailored AI applications in the Databricks platform, using the latest technologies to deliver business impact for our top clients. You’llown the technical deliveryof AI solutions, whether you’re working solo as an AI Engineer or heading up a delivery team.Your responsibilities will span across the following dimensions:Project Planning & DeliveryTechnical 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.AI & Platform ConsultancyProduction-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.What does it take to fit the bill?Technical ExpertiseYou have 5+ years of experience in AI or Machine Learning Engineeringwith a focus on cloud platforms (AWS, Azure, GCP); You are proficientin MLOps using MLflow- taking models from local environments to fully automated, monitored production pipelines; You have experience building production systemsin 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 knowledgeof 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).Consulting & Client-Facing SkillsIdeally, 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 projectslike 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 audiencesand drive decision-making.Operational Readiness & Soft SkillsYou’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 communicationskills 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.What do we offer?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.Here is a list of some other extras we offer: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 MedicalLeave 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 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 makean 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.IMPORTANT NOTE: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 from75.000 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.Want to know more about us?DATAPAODATAPAO 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. xhfqzwm 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 .#J-18808-Ljbffr

Número de empleados/as: 1300 En Newrest, avanzamos gracias a quienes se implican, toman riesgos y tienen ganas de desarrollarse. Únete a un equipo dinámico con una mentalidad emprendedora y deportiva, donde las decisiones se toman rápidamente sin miedo al fracaso. En Newrest, todos contribuyen al crecimiento del Grupo. Aquí, la experiencia práctica es clave: ¡incluso el CEO empuja los trolleys! Acerca de Newrest Newrest, experto en catering fuera del hogar y Facility Management, es uno de los líderes mundiales en catering multisectorial. Impulsado por un espíritu pionero "Unlimited", el Grupo opera en 53 países con 60,000 empleados. Nuestros servicios abarcan una amplia gama de áreas: catering aéreo, compra a bordo, duty free a bordo, alimentación colectiva, bases y servicios de Facility Management, catering ferroviario, alimentación comercial en aeropuertos y autopistas Operaciones en España Número de empleados/as: 1300 Clientes clave American Airlines Emirates Delta Binter Air Nostrum Ouigo Actividades principales catering aéreo compra a bordo duty free a bordo alimentación colectiva bases y servicios de Facility Management catering ferroviario alimentación comercial en aeropuertos autopistas Tu Puesto Estamos buscando un(a) Técnico/a de PRL Reportarás a la Directora de QHSE Responsabilidades Clave Diseño, implantación y seguimiento del plan de prevención. Realización de evaluaciones de riesgos. Realización y seguimiento de la planificación de la actividad preventiva. Seguimiento y control de la investigación de accidentes. Elaboración y seguimiento de estadísticas de siniestralidad. Formación y tutorización de formación a los trabajadores. Seguimiento de la vigilancia de la salud y control. Seguimiento y control de la coordinación de actividades empresariales. Designación y control de los equipos individuales de protección. Seguimiento, control de comités de seguridad y salud. Seguimiento y control de la prevención del personal de ETT. Realización de inspecciones periódicas, simulacros y planes de emergencia. Se ocupará del desarrollo profesional de sus colaboradores/as, y de potenciar sus conocimientos y competencias. Revisión anual por la dirección del plan de prevención. Velará por el cumplimiento de las medidas del Plan de Igualdad entre hombres y mujeres dentro de su ámbito de responsabilidad. Cumplir en todo momento las normas de prevención, seguridad e higiene en el trabajo. Desarrollar las actividades y asumir las responsabilidades relacionadas en el Plan de Prevención y en el Sistema de Gestión de la Calidad. Cumplir en todo momento con el sistema de Gestión de calidad y LOPD. Implantar y respetar la política medioambiental de la empresa con responsabilidad sobre su ámbito concreto. Lo Que Debes Saber Antes De Postularte Para solidaridad con nuestros equipos de campo, el trabajo remoto no está disponible La versatilidad es clave, incluso en funciones de apoyo Un ADN corporativo sólido basado en el compromiso, la responsabilidad y el espíritu de equipo Un entorno dinámico e internacional en constante evolución Crecimiento de dos dígitos desde 2020 ** millones de € en ingresos (2024/2025) Desarrollo de la Industria 4.0: Fábrica Digital: v=2fq_qXf7WFo Sistema ERP interno: Winrest Un Graduate Program que desarrolla el talento joven Gestión de toda la cadena de valor: desde la adquisición de materias primas hasta la entrega en la pista Más de 2 millones de comidas servidas al día Noticias del grupo disponibles aquí: Disponibilidad para viajar, pues estará basado/a en Oficinas centrales, pero dará soporte a: Madrid centro, Barcelona y zona Levante. Proactividad, iniciativa, autonomía, organización. Máster en PRL 3 especialidades: seguridad, higiene, ergonomía y psicosociología. Grado, licenciatura o diplomatura Experiencia de 2 años en PRL. Usuario/a avanzado/a de Office. Inglés valorable. #J-18808-Ljbffr

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours. You provide software and application knowledge to support implementation of the given solutions. How you will contribute You will ensure that delivered services are optimized to meet business demands and the service operations strategy, plan, measure, report and communicate service improvement initiatives, and serve as a consultant on issues and resolutions. You will also recommend actions that can be taken to optimize investments and benefits and to mitigate risks. This role will require you to identify suppliers, evaluate them, on-board new vendors, establish and run vendor governance; collaborate with management and follow-up on requisitions, purchase orders, invoices, and payments; work with projectresources to provide design collateral and to configure software components so they are aligned with security policy and governance; and ensure adherence todevelopment and configuration standards and processes. What you will bring A desire to drive your future and accelerate your career. You will bring experience and knowledge in: Working collaboratively with multiple vendorsLeading complex projects - project managementStakeholder management and influencing skillsManaging infrastructure services delivery, support and excellenceWorking in global IT function with regional or global responsibilities in an environment like Mondelēz InternationalWorking with IT outsourcing providers using frameworks such as the IT Infrastructure LibraryWorking with internal and external teams and leading when necessary More about this roleMondelez Digital Services (MDS) is looking for Full Stack AI Engineers to join a growing engineering team building a new AI-powered insights platform. You will be part of a multi-disciplinary squad designing and delivering the intelligent systems that turn raw market data into decision-ready recommendations for stakeholders across global, regional, and local teams. The team needs engineers across several disciplines — full stack development, AI/ML engineering, and data engineering — and each successful candidate will specialise in one or more of these areas while contributing to the platform end-to-end.Key Responsibilities Design, build, and maintain data pipelines that ingest, transform, and serve market and business data using Python, Databricks (Delta Lake, Spark), and AWS services. Develop and deploy AI/ML models and LLM-based workflows, including retrieval-augmented generation (RAG), prompt engineering, and agent orchestration using frameworks such as Lang Chain or Lang Graph. Build and ship full stack applications (APIs, backend services, and front-end interfaces) that surface AI-generated insights to business users — using Python, React/Next.Js, and cloud-native services. Implement monitoring, logging, and alerting for pipelines, models, and applications to ensure reliability, performance, and cost-efficiency in production. Collaborate with Product, Data Science, and Business stakeholders to translate requirements into technical designs, user stories, and working software. Contribute to platform architecture decisions, including infrastructure-as-code (Terraform), containerisation (Docker), and CI/CD practices. Write clean, tested, well-documented code and participate in code reviews, sprint ceremonies, and knowledge-sharing across the team. We Are Looking For Candidates With Strong proficiency in Python and experience building production-grade applications or pipelines. Experience with one (or more) of the following disciplines: full stack development, AI/ML engineering, or data engineering — with a willingness to broaden across the others.Hands‑on experience with cloud platforms, particularly AWS, and familiarity with Databricks (Spark, Delta Lake, Unity Catalog). Exposure to LLMs and generative AI — model integration, prompt engineering, RAG pipelines, or agent‑based architectures.Familiarity with modern web frameworks (e.G. React, Next.Js) and API design (REST, Graph QL). Understanding of data modelling, ETL/ELT processes, and working with structured and unstructured data at scale. Solid fundamentals in software engineering: version control (Git), testing, CI/CD, containerisation (Docker), and infrastructure-as-code (Terraform). Good communication skills, able to work in a cross‑functional team and explain technical trade‑offs to non‑technical stakeholders. Intellectual curiosity and a bias for learning, staying current with the fast‑moving AI/ML landscape. Nice to Have Experience with agent orchestration frameworks (e.G. Lang Chain, Lang Graph, Auto Gen, Crew AI).Familiarity with the Databricks ecosystem (MLflow, Feature Store, Genie).Exposure to NLP or multimodal AI.Experience with monitoring/observability tools (e.G. Prometheus, Grafana, Cloud Watch).Knowledge of security best practices in cloud and AI infrastructure.Prior experience in a CPG/FMCG environment or working with syndicated market data (Nielsen, Circana/IRI, Kantar). Supporto alla Relocation disponibile?Nessun supporto disponibile per la relocationRiepilogo business unitAlla Mondelēz International, la nostra missione è fornire ai consumatori lo snack giusto, al momento giusto, preparato nel modo giusto. Ciò significa offrire una vasta gamma di snack deliziosi e di alta qualità che nutrono i momenti della vita, realizzati con ingredienti e confezioni sostenibili per i quali i consumatori possono sentirsi bene.Disponiamo di un’ampia gamma di forti marchi internazionali e locali, tra cui molti nomi rinomati come i biscotti Oreo, bel Vita e LU; il cioccolato Cadbury Dairy Milk, Milka e Toblerone; le caramelle SourPatchKids e la gomma da masticare Trident. Siamo orgogliosi di mantenere la prima posizione a livello globale nel business dei biscotti, cioccolato e caramelle e la seconda posizione per le gomme da masticare.I nostri 80.000 produttori e fornai si trovano in oltre 80 paesi e vendiamo i nostri prodotti in oltre 150 paesi in tutto il mondo. Le nostre persone sono stimolate a crescere e sono fondamentali per vivere il nostro scopo e i nostri valori.Siamo una comunità diversificata che può far accadere le cose e farle accadere velocemente. Mondelēz International è un datore di lavoro che offre pari opportunità e tutti i candidati qualificati verranno presi in considerazione ai fini dell’impiego a prescindere da razza, colore della pelle, religione, sesso, orientamento o preferenza sessuale, identità di genere, origine nazionale, stato di disabilità, stato di veterano protetto oppure qualsiasi altra caratteristica protetta dalla legge.Tipo di lavoroContratto a tempo indeterminato Software & Applications Technology & Digital#J-18808-Ljbffr

Misión Te encargarás de la gestión integral de contratos laborales, altas y bajas en la Seguridad Social, elaboración de nóminas y todas las gestiones relacionadas con temas laborales de los empleados de la empresa, asegurando el cumplimiento de las normativas vigentes y la correcta comunicación con las instituciones. Título técnico en Relaciones Laborales, Recursos Humanos, o afines. Experiencia y conocimientos Mínimo 2-3 años de experiencia en puestos similares y conocimientos y experiencia en el SW de nómina A3innuva. Dominio técnico en nómina y legislación laboral. Precisión en el análisis y atención al detalle. Dominio en herramientas y software de nómina A3innuva/SAGE. Gestión eficaz del tiempo y capacidad organizativa. Excelentes habilidades de comunicación y servicio al cliente interno. Funciones Ciclo completo de nómina: Revisión, elaboración, cálculo, pago de nóminas, realización de Seguros Sociales y resolución de incidencias. Actualización normativa: Supervisar e implementar cambios en políticas laborales según actualizaciones normativas. Gestión de embargos y cuotas sindicales. Registro y gestión de contratos: Formalización y registro de contratos a través de contrat@ y demás plataformas relacionadas. Gestión en sistemas de comunicación con la administración: Uso de Sistema RED, SILTRA, DELTA, entre otros. Emisión de certificados: Elaboración y entrega de certificados de empresa mediante certific@. Comunicación institucional: Coordinación con organismos como INSS, SEPE, TGSS, y AEAT. Gestión de bajas médicas: Registro y tramitación de bajas y otras incidencias laborales. Contabilización de nómina: Elaboración de asientos contables relacionados con nóminas. Apoyo en redacción de cartas de despido y preparación para inspecciones: Asistencia en SMAC y soporte en inspecciones de trabajo. Informes y análisis de datos de personal: Elaboración de informes de headcount, temporalidad, categoría, edad, absentismo, y otros datos relevantes. Responsabilidades Exactitud en el cálculo de nóminas: Procesar las nóminas correctamente, incluyendo todas las deducciones y bonificaciones aplicables. Cumplimiento fiscal y laboral: Calcular y retener impuestos y contribuciones conforme a la normativa vigente. Gestión de ausencias y vacaciones: Mantener el registro de vacaciones, bajas médicas, permisos y otras ausencias. Soporte al empleado: Atender consultas de empleados sobre temas de nómina y compensaciones. Finiquitos y liquidaciones: Calcular y gestionar liquidaciones en procesos de salida de empleado. Competencias Tolerancia a la presión Compromiso sostenible Flexibilidad Análisis y solución de problemas Organización y calidad Trabajo en equipo Seguro de salud con condiciones ventajosas Plataforma de descuentos Grupo Ruiz Psicóloga organizacional sin coste Comida incluida de lunes a jueves en horario de invierno Flexibilidad horaria: De lunes a jueves en horario de invierno la entrada entre 8 y 9:30; la salida entre 17:30 y 19:00 en función de la entrada. Jornada intensiva los meses de verano Fruta los viernes Parking gratuito para los empleados

Overview En este rol lideras la arquitectura de datos para impulsar soluciones de análisis avanzadas dentro del Center of Excellence AI.DA. Diseñas e evolucionas la arquitectura de datos, asegurando ingesta, procesamiento y consumo escalables y seguros. Colaboras con negocio, analítica e ingeniería para definir modelos y estrategias de explotación de datos. Lideras equipos multidisciplinarios y guías la implementación de prácticas modernas de datos. Buscas impacto estratégico mediante gobernanza, calidad y trazabilidad de datos. Responsabilidades • Diseñar e evolucionar la arquitectura de datos de la organización para ingesta, procesamiento, almacenamiento y consumo de datos, • Definir arquitecturas de referencia para plataformas de datos en entornos batch y streaming, • Establecer estrategias de ingesta, almacenamiento y orquestación de datos, • Propiciar la adopción de patrones y frameworks de integración de datos (ETL/ELT, Data Mesh, Event-Driven), • Garantizar calidad, integridad, disponibilidad y trazabilidad de datos a lo largo de su ciclo de vida, • Definir modelos de datos y estrategias de explotación en colaboración con negocio e ingeniería, • Supervisar seguridad, gobernanza y cumplimiento (GDPR, control de accesos, calidad de datos), • Evaluar nuevas tecnologías y proponer mejoras en rendimiento, coste, escalabilidad y mantenibilidad, • Liderar técnicamente equipos multidisciplinares, coaching y mentoría, • Actuar como interlocutor de referencia ante clientes y stakeholders senior, • Participar en preventa, definición de soluciones y evolución de capacidades de Data, • Contribuir a estándares y buenas prácticas de la disciplina de Data Requisitos principales, • Más de 10 años de experiencia en Data Architect, • Experiencia liderando iniciativas complejas en Data Engineering, Big Data, Data Architecture, Data Strategy, Data Governance y plataformas de datos empresariales, • Conocimientos sólidos en procesamiento y transformación de datos a gran escala, • Experiencia en arquitecturas distribuidas y herramientas Big Data, • Integración de datos y construcción de pipelines, • Bases de datos relacionales y analíticas, • Entornos Cloud enfocados a datos, • Python y SQL avanzados, • Experiencia con Big Data y Apache Spark, • Experiencia en plataformas Cloud (Azure, AWS o GCP), • Herramientas de orquestación y procesamiento distribuido, • Conocimientos en Databricks (valor diferencial), • Familiaridad con metodologías ágiles (Scrum/Kanban), • Nivel de inglés alto (B2/C1) para proyectos internacionales, • Tecnologías principales: Azure, AWS, GCP; Spark, Databricks, Flink, Beam, Airflow; SQL Server, PostgreSQL, Snowflake, Delta Lake, Parquet, BigQuery; Kafka, Debezium, NiFi, AirByte, Event Hub, Pub/Sub; Unity Catalog, Collibra, Anjana, OpenMetadata, Purview; Docker, Kubernetes; Python, Scala, Java, SQL, • Trabajo en equipo y colaboración multidisciplinar, • Excelentes habilidades de comunicación e influencia, • Capacidad de interactuar con perfiles técnicos, negocio y ejecutivos, • Procesamiento y transformación de datos a gran escala, • Arquitecturas distribuidas y plataformas Big Data, • Integración de datos y construcción de pipelines

Overview In this role you will design, implement, and optimize Databricks-based data architectures to deliver scalable, secure Lakehouse solutions. You’ll work across cloud and multi-cloud environments, shaping modern data platforms and enabling advanced analytics and AI capabilities. You’ll collaborate with cross-functional teams to drive data governance, performance, and cost optimization as part of broader digital transformation efforts. This is an opportunity to influence architecture decisions and mentor clients on best practices in a fast-growing data platform. Compensaciones / Beneficios • remote work, • annual performance bonus, • flexible compensation package, • health insurance, • meal benefits, • training and certifications Responsabilidades, • Design Lakehouse and Delta Lake architectures across cloud/multi-cloud, • Develop and optimize ETL/ELT pipelines using Spark, Structured Streaming, Lakeflow Declarative Pipelines, • Implement data governance, security, and lineage via Unity Catalog, • Define AI governance via Unity Gateway, • Design ML/Generative AI environments using MLflow and Databricks Genie, • Optimize platform performance and costs following FinOps principles, • Support data platform modernization and migrations to Lakehouse architectures, • Advise clients on Databricks best practices and collaborate with cross-functional teams Requisitos principales, • Strong experience in data architecture and Databricks-based solutions, • Deep knowledge of Apache Spark, Delta Lake, Unity Catalog, Photon, • Experience with Azure, AWS, or GCP, • Knowledge of cloud infrastructure, networking, storage, and IAM security, • Experience designing ETL/ELT pipelines and data processing, • Knowledge of data governance, performance optimization, and Lakehouse architectures, • Strong communication, autonomy, and customer-oriented mindset, • Fluent English and Spanish, • Degree in Computer Science, Information Systems, or equivalent professional experience, • communication, • autonomy, • customer-oriented mindset, • Databricks, • Apache Spark, • Delta Lake

Emerson Electric Co in Spain is seeking a Control Systems Project Pursuit professional to lead the pursuit of strategic DCS and automation projects across key process industries. You will identify opportunities, influence specifications, engage with EPCs, end users, and consultants, and drive adoption of Delta V technologies for digital transformation and reliability improvements.You will collaborate with sales, engineering, and business development, build strong customer relationships, and#J-18808-Ljbffr

Our Businessteam.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 Businessteam.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 Saa S 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.Position OverviewAs a Senior Data Platform 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+ subbrands. This role is pivotal in transforming raw data into a sophisticated semantic layer that powers business intelligence, operational efficiency, and cutting-edge AI initiatives.Key Responsibilities: Data Platform Ownership: Own, manage, continuously optimize our Data Infrastructure including Databricks, Airflow, dbt, Gitlab & AWS. Manage and tune data platforms for peak performance and introduce new capabilities to keep the platform aligned with industry advancements 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. Your Strengths: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. Technical skills required:Core Ecosystem: Deep hands-on experience with Databricks (Py Spark, 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 (Postgre SQL, SQL Server, Oracle, etc.). Dev Ops & 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. Education and work experience: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 Ph D) 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. Right to WorkAt any stage, please be prepared to provide proof of eligibility to work in thecountry you’re applying for. Unfortunately, we are unable to support relocationpackages 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.ESG"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 enablerteam.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.Click here to read more about team.Blue #J-18808-Ljbffr

We are looking for a senior, hands-on Databricks Architect to lead the design and delivery of an enterprise data Lakehouse. The role will establish a secure, scalable platform and drive adoption of Databricks capabilities across data engineering, governance, analytics, and AI readiness. • Own lakehouse architecture and implementation roadmap, including workspaces, cloud integration, storage, networking, identity, and compute., • Design batch, streaming, and CDC pipelines using Delta Lake, Auto Loader, and Lakeflow, with layered data architecture, modeling, data quality, and reliable incremental processing., • Establish Unity Catalog governance covering access controls, sensitive-data protection, lineage, discovery, and auditability., • Enable Databricks SQL, BI integration, curated data products, and governed business metrics; assess Genie and AI/ML capabilities against business needs., • Lead performance and cost optimization, CI/CD, infrastructure automation, monitoring, failure recovery, and disaster recovery., • Guide client stakeholders and engineering teams through architecture decisions, implementation reviews, production readiness, and knowledge transfer., • Proven ownership of enterprise Databricks platforms delivered into production., • Strong hands-on expertise in Spark, PySpark, Python, SQL, Delta Lake, Unity Catalog, and pipeline orchestration., • Experience with lakehouse modeling, streaming, CDC, schema evolution, deduplication, and safe pipeline recovery., • Strong AWS or Azure expertise, including platform security, networking, storage, and enterprise integration., • Demonstrated performance troubleshooting, cost optimization, automated testing, CI/CD, and infrastructure-as-code experience., • Strong client-facing communication and technical leadership, with clear examples of architecture trade-offs and production outcomes., • Databricks Data Engineer Professional certification., • Experience with serverless compute, Terraform, Declarative Automation Bundles, and warehouse migration., • Exposure to AI/BI Genie, MLflow, model serving, vector search, or RAG on governed enterprise data. A hands-on architect who can build the lakehouse foundation, lead delivery, and expand Databricks adoption in line with business priorities. #J-18808-Ljbffr

Madrid, Spain | Full-time Are you passionate about transforming data into real business impact? Camelina Company España is looking for a hands-on Data Platform & AI Engineer to take ownership of our Databricks environment and help shape the future of our data and AI capabilities. In this key role, you'll work across the full data lifecycle---from building scalable ETL/ELT and streaming pipelines to deploying machine learning models, developing AI-powered solutions, and creating dashboards that support smarter decision-making. • Build and optimize data pipelines using Databricks, PySpark, SQL, Delta Lake, Workflows, Auto Loader, and Delta Live Tables., • Develop and deploy AI and machine learning solutions, including forecasting, anomaly detection, and LLM/RAG applications., • Create impactful dashboards and reports with Databricks SQL, Power BI, Tableau, or similar tools., • Manage data quality, governance, security, performance, and platform costs., • Partner with operational, financial, and commercial teams in Spain and the United States to turn business needs into reliable data products., • 3--5 years of hands-on data engineering experience., • Strong knowledge of Databricks, Spark/PySpark, Delta Lake, SQL, and Python., • Experience building production ETL/ELT pipelines from databases, APIs, files, and streaming sources., • Experience deploying machine learning models with MLflow or similar tools., • Knowledge of Azure and/or AWS cloud environments., • Experience with modern BI and reporting tools., • Full professional fluency in English and Spanish., • Availability for regular working-hour overlap with our Pacific Time team. Experience with Unity Catalog, CI/CD, Terraform, structured streaming, enterprise AI solutions , or the energy and industrial sectors will be highly valued. This position is primarily office or home-office based in Madrid, with occasional travel to company sites, including Bakersfield, California. If you're excited about building a data platform from ingestion to insight---and want to see your work deliver measurable business value---we'd love to hear from you. #Hiring #DataPlatform #DataEngineer #AIEngineer #Databricks #ArtificialIntelligence #MachineLearning #PySpark #PowerBI #Azure #AWS #TechJobs #MadridJobsConsejos: Haz un resumen del puesto, explica qué se necesita para triunfar en él y el lugar que ocupa en la empresa. #J-18808-Ljbffr

Job DescriptionAgilent is building a Kubernetes-based software platform spanning instruments, applications, and shared services across multiple product lines, while embedding AI into how we build and verify that software. That software runs instruments used in over 265,000 labs worldwide, supporting work like R&D, cancer diagnostics, and food and water safety testing.Job DescriptionAgilent is building a Kubernetes-based software platform spanning instruments, applications, and shared services across multiple product lines, while embedding AI into how we build and verify that software. That software runs instruments used in over 265,000 labs worldwide, supporting work like R&D, cancer diagnostics, and food and water safety testing.We’re looking for a Lead Test Framework Architect to own the test frameworks, evaluation methods, and governance that let us ship AI-accelerated software safely in regulated GxP / 21 CFR Part 11 environments. That calls for someone who already has hands‑on, proven depth in Kubernetes test environment architecture, AI and LLM evaluation frameworks, and regulated software validation.AI accelerates software delivery, but that acceleration exposes weaknesses downstream without a strong automated‑testing control system. You'll build that control system and lead the organization in adopting it.ResponsibilitiesLead AI SDLC adoption for quality engineering. Own the strategy for AI-assisted test authoring, execution, triage, and maintenance. Prove value through reference workflows, then scale adoption across product teams.Build AI-native test frameworks. Design workflows that generate unit, contract, integration, and E2E suites from specifications and intent. Verify that AI-generated tests exercise specified intent, not implementation. Integrate GitHub Copilot (enterprise standard) and complementary tools (e.G., Qodo, Diffblue, Playwright AI agents, self-healing frameworks) into CI/CD quality gates.Test our AI features. Build evaluation and regression frameworks for LLM- and agent-powered product capabilities: non-deterministic evaluation, hallucination and grounding scoring, drift detection, and AI observability using OpenTelemetry GenAI conventions.Own the regulatory bridge. Integrate AI-assisted testing into validated environments using risk-based Computer Software Assurance (CSA), GAMP 5 (2nd Edition) and the ISPE GAMP AI Guide, and - for diagnostics software - IEC 62304. Preserve audit trails, traceability, and data integrity for AI-generated artifacts.Establish human-in-the-loop governance. Define risk-scaled review checkpoints, acceptance criteria, and rollback triggers for AI-generated code and tests.Define platform-wide test architecture standards for a Kubernetes-based microservices platform: testability-by-design, test environment strategy (ephemeral namespaces, environment-as-code), CI/CD quality gate architecture, contract testing for microservices and APIs, test data strategy (synthetic data, isolation, AI/ML data requirements), and E2E frameworks that work reliably in containerized environments.Instrument and report on impact. DORA delivery metrics augmented with AI-specific measures (coverage delta, defect-escape rate, mean-time-to-triage, eval-suite pass rates). Lead the change effort - champions, enablement, playbooks - that drives durable adoption.QualificationsRequired10+ years of software engineering, with 3+ years in test architecture or quality engineering architecture roles.Demonstrated daily, hands‑on use of AI-assisted development and testing tools (GitHub Copilot, Claude Code, Cursor, or equivalent) with the ability to speak concretely to effective usage patterns and failure modes.Deep hands‑on Kubernetes expertise for test environment design: ephemer space provisioning, container-based test infrastructure, environment-as-code.Strong experience designing multi-level test automation frameworks: unit, contract, integration, E2E, and performance testing in distributed systems.CI/CD pipeline architecture and quality gate integration (GitHub Actions, Jenkins, or equivalent).Contract testing experience (Pact or consumer-driven contract testing) for microservices and API-first architectures.Demonstrated ability to deliver reusable test frameworks adopted across multiple product teams — reference implementations, not just guidelines.Working knowledge of testability-by-design and the ability to influence how software is architected to be inherently more testable.Experience leading adoption and change in an established engineering organization, with a track record of defensible outcome metrics.PreferredExperience testing AI/ML, LLM, or agent-based systems: evaluation frameworks (deepeval, promptfoo, LangSmith, Langfuse, Maxim AI, or equivalent), non-deterministic regression, hallucination and grounding scoring, drift detection.Fluency in regulated software validation: 21 CFR Part 11, GxP / GAMP 5, CSA vs. CSV, and IEC 62304 for medical device or diagnostics software.Context engineering for LLMs: prompt/spec design, RAG, MCP servers, project-memory patterns.Observability tooling in containerized environments, ideally with OpenTelemetry GenAI Semantic Conventions.Performance and load testing at platform scale (k6, Gatling, Locust, or equivalent).Infrastructure-as-code and GitOps applied to test environment provisioning.Background in scientific instrument software, laboratory platforms, or life sciences / diagnostics.We offerAn independent job in collaboration with good colleagues, in a growth-orientated organizationA true commitment to work/life balanceAn opportunity to learn and growAgilent Result Bonus, Stock Purchase Plan, Life Insurance, Pension, Healthcare, Employee Assistance Program, Holiday, Company activitiesAdditional DetailsThis job has a full time weekly schedule.Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.Agilent.Com/locationsAgilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.Travel Required:25% of the TimeShift:DayDuration:No End DateJob Function:R&D#J-18808-Ljbffr

Emerson Electric Co in Spain is seeking a Control Systems Project Pursuit professional to lead strategic opportunities across key process industries, driving Delta V technologies and digital transformation initiatives.You will identify, qualify, and pursue high-value projects, engage with EPCs, end users, and consultants, and coordinate cross-functional teams to develop winning pursuit strategies while ensuring customer satisfaction.#J-18808-Ljbffr

Amentum is seeking a highly skilled Combat Systems SPY Technician to join our team in Rota, Spain, supporting the Forward Deployed Regional Maintenance Center (FDRMC). This role offers a unique opportunity to directly support the readiness of forward-deployed U.S. Navy forces by maintaining and restoring critical radar and combat systems. As part of a mission-focused team operating in a dynamic, high-tempo environment, you will play a key role in ensuring advanced AEGIS weapon system capabilities remain fully operational. This is your chance to contribute to something bigger-supporting global maritime security and the warfighter at the point of need.Essential ResponsibilitiesProvide Fleet Technical Assistance (FTA) to diagnose, troubleshoot, and resolve casualties involving AN/SPY-1 radar and associated combat systemsPerform on-site (OS) and distant support (DS) for U.S. Navy ships and shore-based OCONUS activitiesConduct maintenance, installation, testing, and repair of radar systems, including Ballistic Missile Defense (BMD) and auxiliary equipmentExecute advanced fault isolation within radar subsystems, including Signal Processor (SIGPRO) componentsAnalyze radar performance and provide recommendations on clutter mitigation and environmental impactsSupport System/Equipment Assessments (e.G., TSRA, INSURV, ICMP, BMDRAs, Combat Systems Assessments)Assist with logistics support, including validation of Allowance Parts Lists (APLs) and identification of required componentsProvide on-the-job training (OJT) and technical guidance to ship's force personnelDocument findings using Navy systems (e.G., MFOM/NMD, FTS) and prepare formal reports/debriefs in accordance with JFMM standardsRecommend updates to technical documentation, including Maintenance Requirement Cards (MRCs), manuals, and proceduresSupport Engineering Technical Branch (ETB) efforts, including system analysis and corrective action developmentTravel as required to support forward-deployed naval forcesMinimum RequirementsMinimum of three (3) years of journeyman-level experience within the last five (5) years in radar/combat systemsDemonstrated experience in maintenance, installation, testing, and repair of U.S. Navy radar systems, including BMD-related equipmentStrong knowledge of electromagnetic energy, radar theory, quantum theory, and electronic phasing as applied to AN/SPY-1 systemsAbility to understand and apply mono-pulse radar principles, including interpretation of sum and delta signals for fault isolationExperience troubleshooting radar signal processing (SIGPRO) componentsAbility to work independently without supervision in a journeyman-level capacityFamiliarity with Navy maintenance and tracking systems such as MFOM/NMD and FTSAbility to interpret and apply technical manuals, drawings, and engineering documentationWillingness and ability to travel frequently, including OCONUS and shipboard environmentsAbility to obtain and maintain a U.S. Secret security clearanceStrong communication skills, including experience preparing technical reports and briefsPreferred Qualifications (not required)Experience supporting AEGIS Weapon Systems, particularly AN/SPY-1 (all baselines)Experience with Ballistic Missile Defense (BMD) systems and configurationsBackground supporting DDG-51, CG-47, or similar AEGIS platformsExperience participating in TSRA, INSURV, BMDRAs, or Combat Systems AssessmentsFamiliarity with NAVSEA Standard Items and Joint Fleet Maintenance Manual (JFMM) processesPrior experience providing Fleet Technical Assistance (FTA) or working at a Regional Maintenance Center (RMC)Experience developing or improving technical documentation and training materialsActive or recently held security clearanceExperience working in a forward-deployed or OCONUS operational environment, supporting naval forces in high-tempo, mission-critical settingsCompensation Details:90,000 - 115,000#J-18808-Ljbffr

TechYard in Barcelona is seeking an experienced Databricks Data Engineer to design, build, and optimise scalable data pipelines and data platforms using Databricks, Apache Spark, and cloud technologies. You will collaborate with data architects, analysts, data scientists, and business stakeholders to transform complex datasets into reliable, high-quality data solutions that drive business value.The role demands strong Python, PySpark, SQL skills and experience with Delta Lake and lakehouse#J-18808-Ljbffr

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. If you’re looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! We are looking for a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation. • 5+ years of strong hands-on experience with Databricks and PySpark., • Advanced SQL and data-processing skills., • Hands-on experience with GCP , particularly BigQuery., • Experience with Delta Lake and modern data lake/lakehouse architectures., • Strong understanding of ETL/ELT, data pipeline design, performance optimization, and data quality., • Experience building reliable, scalable, production-grade data solutions., • Strong analytical and troubleshooting skills., • Understanding of software engineering practices, including testing, version control, deployment, monitoring, and production support., • Experience developing or integrating AI/agentic workflows, AI agents, or workflow automation solutions., • Experience applying AI to automate data engineering, validation, troubleshooting, or operational processes., • Familiarity with orchestration and automation frameworks., • Experience developing reusable data engineering frameworks and platform components., • Exposure to productionizing AI-enabled solutions with appropriate validation, monitoring, and human oversight., • Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL., • Build and operationalize agentic workflows to automate data engineering and operational processes such as data validation, issue identification, troubleshooting, and workflow execution., • Integrate agentic capabilities with existing Databricks, GCP, BigQuery, and Delta Lake environments., • Develop data pipelines and processing solutions to support new business requirements and datasets., • Build reusable frameworks and components that can be leveraged across multiple data engineering and business use cases., • Implement data quality checks, monitoring, validation, exception handling, and production controls., • Optimize PySpark and SQL workloads for performance, reliability, and scalability., • Support testing, deployment, productionization, and ongoing enhancement of data and agentic solutions., • Troubleshoot complex data and production issues and implement sustainable solutions., • Collaborate with business, data engineering, and platform teams to identify further automation opportunities., • Professional growth : Mentorship, TechTalks, and personalized growth roadmaps., • Competitive compensation : USD-based pay with education, fitness, and team activity budgets., • Exciting projects : Modern solutions with Fortune 500 and top product companies., • Flextime : Flexible schedule with remote and office options. Each step helps us understand your skills and overall fit. If it's a match, you'll receive an offer. #J-18808-Ljbffr

Overview Senior Backend Engineer (Java) | Up to 75k | Hybrid (Madrid). Talent-R Madrid, Community of Madrid, Spain. Responsibilities Develop, test, and maintain backend systems in production environments using public or hybrid cloud infrastructure. Lead small-scale projects and contribute as a supporting team member to complex ones. Drive continuous improvement by identifying inefficiencies and proposing solutions. Integrate systems with APIs and multiple data stores while ensuring reliability and performance. Write clear, maintainable code following industry best practices and company standards. 6+ years of software development experience, preferably in JVM languages (Java, Kotlin, Scala). Proven experience building and maintaining software products in public or hybrid cloud infrastructures. Strong understanding of data structures, system design, testing, and debugging. Familiarity with at least two data stores, API access patterns, and integration practices. Ability to translate business needs into technical solutions and understand how projects fit within the team’s objectives. Proficiency in testing and monitoring tools to ensure code quality and system reliability. What We Offer Be part of a top-tier B2 B travel platform serving global partners such as AMEX, Delta, and Flight Centre. Hybrid work model in Madrid, up to 3 days remote with occasional travel to the UK. Dynamic, multicultural, and inclusive environment. Competitive compensation package up to 75k Healthcare and other benefits. If you’re ready to work on high-impact systems with world-class partners, we’d love to hear from you! #J-18808-Ljbffr

En Grupo Tecdata seguimos impulsando nuestra práctica de Data & IA y buscamos incorporar un/a Data Engineer Senior con experiencia en el diseño, desarrollo y evolución de plataformas de datos en entornos cloud.Te incorporarás a un equipo especializado, participando en proyectos estratégicos para clientes, diseñando arquitecturas de datos escalables y desarrollando soluciones de procesamiento, transformación y explotación de grandes volúmenes de información.Buscamos un perfil con autonomía técnica, visión de arquitectura y capacidad para trabajar directamente con equipos técnicos y de negocio.¿Qué harás?Diseño e implementaciónDiseñar e implementar pipelines, modelos y arquitecturas de datos batch y, cuando el caso lo requiera, de procesamiento en tiempo real.Participar en migraciones y modernización de plataformas; justificar decisiones de integración, almacenamiento y transformación.Optimizar rendimiento, fiabilidad y coste, incorporando pruebas, observabilidad, recuperación ante fallos y procedimientos de operación.Calidad y gobiernoImplantar controles de calidad, trazabilidad, linaje y acceso a datos, coordinando requisitos de privacidad y seguridad con los responsables correspondientes.Preparar datos y contratos de intercambio para BI, analítica y ML predictivo; colaborar con especialistas en su puesta en producción.Coordinar con el equipo de IA las fuentes, actualizaciones, permisos y calidad de los datos que alimentan soluciones RAG y agentes.Liderazgo técnico y desarrollo de la prácticaActuar como líder técnico de proyecto cuando se te asigne: descomponer trabajo, revisar código, mentorizar y gestionar riesgos técnicos.Aportar estimaciones, diseños y demostraciones a propuestas y PoC, junto al Data Lead y al equipo comercial.Desarrollar aceleradores y estándares reutilizables y transferir conocimiento entre equipos internos y colaboradores.¿Qué buscamos?ImprescindibleExperiencia orientativa de 5 o más años en ingeniería de datos, con participación relevante en soluciones en producción y autonomía demostrable, con al menos 3 años en plataformas de datos cloud y en proyectos para clientes.Dominio práctico de SQL avanzado con optimización de rendimiento (planes de ejecución, particionado, clustering) y Python, integración de fuentes, modelado de datos y diseño de pipelines ETL/ELT. Metodologías de modelado: dimensional/Kimball, Data Vault, SCD y 3NF.Procesamiento distribuido con Spark/PySpark (batch, streaming).Experiencia sólida en al menos una plataforma de datos, como Databricks, Snowflake, BigQuery, Microsoft Fabric o Cloudera, Glue, Dataproc y en un entorno cloud o equivalente.Experiencia con transformación y orquestación, control de versiones, pruebas, CI/CD, monitorización y resolución de incidencias, además de dbt y Airflow o equivalentes (Data Factory, Cloud Composer, Databricks Workflows) e infraestructura como código (Terraform).Arquitecturas lakehouse y formatos abiertos (Delta Lake, Apache Iceberg, Parquet) y marcos de calidad del dato (dbt tests, Great Expectations o similares).Español fluido e inglés profesional para documentación y colaboración técnica.Trabajo en metodologías ágiles e interlocución directa con negocio y cliente.Se busca profundidad en una combinación coherente de herramientas y capacidad de adaptación. La modelización estadística avanzada y el desarrollo de modelos predictivos se abordarán con especialistas de la práctica.¿Qué ofrecemos?Incorporación a un equipo especializado en Data & IA.Participación en proyectos reales de inteligencia artificial generativa y agentes.Aprendizaje y acompañamiento técnico por parte de profesionales senior.Participación en iniciativas de I+D y desarrollo de soluciones propias.Plan de formación y crecimiento profesional.Jornada completa y modalidad híbrida en España.Retribución acorde con la experiencia y conocimientos aportados.¿Te interesa desarrollar tu carrera profesional en Inteligencia Artificial?#J-18808-Ljbffr

We’re looking for a Database Systems Engineer who thrives at the frontier of distributed databases, storage engines, transactional systems, and analytical query execution.Database Systems Engineer — Distributed Storage & Transactional Query EnginesRole SummaryFast S3 is building AI-native data infrastructure from the ground up. We are looking for an engineer to help design the database layer that sits above Pixel DB, our distributed key/value object storage engine, and works with TEMPANO, our custom Iceberg catalog and compaction API.This role is not about building a conventional application database, a Postgres extension, or a simple lakehouse connector. It is about helping design the foundation for a system that can support transactional, analytical, and vector workloads over the same live data layer.You’ll work closely with engineering leadership to prototype and build the core components of a distributed table engine: commit logs, MVCC, stable Row IDs, secondary indexes, snapshot publication, compaction, query execution, and integration with Iceberg-style table metadata.What You’ll Be Doing Design and prototype a transactional table engine on top of Pixel DB.Work on MVCC, commit logs, transaction visibility, snapshot isolation, and serializable consistency.Design stable Row ID abstractions so indexes point to logical rows rather than physical storage locations.Build metadata and manifest flows that connect live transactional writes to TEMPANO and Iceberg-compatible analytical snapshots.Help design compaction, version cleanup, and garbage collection that do not block long-running analytical queries.Explore query execution paths for point reads, range scans, analytical scans, joins, and vector retrieval.Work on distributed storage layout, partitioning, object placement, erasure‑coded data, and recovery semantics.Collaborate with systems and AI engineers to support agentic workloads that require transactional, analytical, and semantic access to live data.Benchmark latency, throughput, consistency behavior, write amplification, and query performance under concurrent workloads. What We Need to See Strong systems programming experience in Rust, C++, Go, or C.Practical knowledge of database internals, storage engines, distributed databases, or query engines.Experience with MVCC, WAL/commit logs, transaction processing, indexing, compaction, or recovery.Understanding of distributed systems concepts such as consensus, replication, failure recovery, consistency, and concurrency control.Familiarity with analytical formats or engines such as Apache Iceberg, Delta Lake, Parquet, Arrow, Trino, Spark, Duck DB, or Click House.Ability to reason deeply about tradeoffs between OLTP, OLAP, and vector workloads.Comfort moving from architectural design to prototype code, benchmarks, and production‑quality implementation.Strong debugging, profiling, and performance‑analysis skills. Ways to Stand Out Experience building or contributing to database kernels, storage engines, query planners, transaction managers, or distributed SQL systems.Hands‑on work with Postgre SQL internals, Cockroach DB, Yugabyte DB, Ti DB, Foundation DB, Scylla DB, Cassandra, Click House, Duck DB, Neon, or similar systems.Experience with Apache Iceberg, Delta Lake, table catalogs, manifest generation, compaction, or lakehouse metadata.Knowledge of vector indexes such as HNSW, IVF, PQ, ANN search, or hybrid vector/SQL execution.Experience designing systems around stable logical IDs, append‑only storage, object storage, LSM trees, B‑trees, or log‑structured architectures.Background in high‑performance networking, distributed storage, RDMA, erasure coding, or object storage.Open‑source contributions, papers, or deep technical writing related to databases, storage engines, or distributed systems. Why Join Us?Fast S3 is building infrastructure for the next generation of AI‑native data systems. Our vision is to move beyond fragmented pipelines, replicated warehouses, and bolt‑on vector extensions by designing a data layer where transactional, analytical, and semantic workloads can operate over the same live data.You’ll join a team working at the intersection of distributed storage, database internals, lakehouse architecture, vector retrieval, and AI infrastructure. If you’re excited by the idea of building a new database architecture instead of extending yesterday’s systems, this is the role.We’re growing our team in Madrid and looking for engineers who want to build core infrastructure from first principles.Fast S3 is proud to be an inclusive, equal opportunity employer committed to diversity, equity, and accessibility for all. #J-18808-Ljbffr

Are you passionate about data and enjoy designing modern, scalable, and secure data architectures? At Devoteam , we are looking for a Databricks Data Architect to join our team and contribute to data architecture, platform modernization, and digital transformation projects for leading clients. You will work with the Databricks Data Intelligence Platform , designing Lakehouse solutions across cloud and multi-cloud environments, enabling advanced analytics, data engineering, and Artificial Intelligence capabilities. We are looking for someone with strong technical expertise, an architectural mindset, autonomy, and a customer-oriented approach. You will be responsible for designing, implementing, and optimizing Databricks-based data architectures, ensuring scalable, secure, and efficient solutions. Your main responsibilities will include: Design and implement Lakehouse and Delta Lake architectures across cloud and multi-cloud environments. Develop and optimize ETL/ELT pipelines using Apache Spark, Structured Streaming, and Lakeflow Declarative Pipelines . Implement data governance, security, and lineage frameworks using Unity Catalog . Define AI governance mechanisms using Unity Gateway . Design environments supporting Machine Learning, Generative AI, and advanced analytics using MLflow and Databricks Genie . Optimize Databricks platform performance and costs, applying FinOps best practices. Participate in data platform modernization and migration projects towards Lakehouse architectures. Advise clients on Databricks best practices and collaborate with technical and business teams. Strong experience in data architecture and designing Databricks-based solutions . Deep knowledge of Apache Spark, Delta Lake, Unity Catalog, and Photon . Experience with cloud platforms such as Azure, AWS, or GCP . Knowledge of cloud infrastructure, networking, storage, and IAM security. Experience designing ETL/ELT pipelines and data processing solutions. Knowledge of data governance, performance optimization, and Lakehouse architectures. Strong communication skills, autonomy, and a customer-oriented mindset. Fluent English and Spanish , both written and spoken. Degree in Computer Science, Information Systems, or equivalent professional experience. Experience with Lakeflow, MLflow, Genie, or Unity Gateway . Knowledge of Generative AI and Machine Learning. Experience migrating legacy data platforms to Databricks. Knowledge of FinOps and cloud cost optimization. Databricks Data Engineer Professional certification or Platform Architect accreditations. At Devoteam, we believe technology creates greater impact when combined with talented people. We offer: Competitive salary based on your experience. Annual performance bonus , linked to individual, team, and company objectives. Flexible compensation package , including transport, childcare, training, health insurance, and meal benefits. Employee benefits , including discounts, physiotherapy, and free English classes. Career development opportunities , with access to training, certifications, and annual performance reviews. If you enjoy designing modern data architectures and leveraging Databricks to help organizations unlock the full potential of their data, we'd love to hear from you! #J-18808-Ljbffr

AXON Networks delivers a robust AI-driven, analytics-based orchestration platform and a wide portfolio of next-gen high-speed routers that leverage the newest Wi‑Fi technologies. Together, these technologies give ISPs the ability to manage and troubleshoot their networks in real time, and to deliver an outstanding customer experience.AXON Networks is a trusted strategic partner for its customers, helping them evaluate their current technologies and business models, and creating and executing strategies that enable them to innovate faster, accelerate their digital transformations, and strengthen their relationships with consumers.AXON Networks is headquartered in Irvine, CA USA with Asia HQ in Singapore and also operating in Denmark, Spain and Vietnam.We are looking for a Data Engineer to join our data engineering team in Madrid. You will work hands‑on with Databricks, Spark and large‑scale telecommunications data, building the pipelines and datasets that make reliable data available to downstream applications and processing components. You will work closely with Development, Quality Assurance, DevOps, Product Management and Delivery teams throughout the software lifecycle.To succeed in this role, you should enjoy hands‑on engineering, be comfortable investigating data and pipeline issues and care about building solutions that are reliable, testable and easy to maintain.You will join an international technical team working on production data platforms used in the telecommunications industry. The role offers hands‑on experience with Databricks and Spark and the opportunity to contribute to the continued evolution of the platform.ResponsibilitiesDevelop and maintain scalable data ingestion and transformation pipelines using Databricks, PySpark and SQL.Build and maintain Databricks Jobs and Workflows for data ingestion and processing.Build and evolve datasets across the lakehouse layers, managing schema changes and data contracts while keeping data traceable to upstream sources.Ensure data quality and freshness, making datasets reliably available to downstream consumers within the required processing windows.Develop and maintain automated tests for data pipelines, including unit, integration and regression testing.Troubleshoot data pipeline issues in QA and production, identify root causes and implement fixes.Improve the performance and efficiency of Spark jobs and data transformations.RequirementsB.Sc./M.S. Computer Science or related field.2+ years of professional experience in Data Engineering or a similar role.Hands‑on experience with Python, PySpark and SQL.Good understanding of data modeling and lakehouse concepts.Familiarity with automated testing and Git‑based development workflows.Strong analytical and problem‑solving skills, with the ability to troubleshoot dataprocessing issues.Fluency in both English and SpanishAbility to work in hybrid in Madrid.Nice To HaveExperience building ETL/ELT data pipelines with Apache Spark and Databricks.Experience with Delta Lake, Medallion Architecture, schema evolution or data contractsExperience with Databricks Jobs / Workflows and workload optimization.Experience working with large‑volume or telecommunications datasets.BenefitsA competitive salary and incentive plan.Flexible schedule, including telecommuting.Free parking or transportation card (Pluxee transport pass).Meal card (Pluxee restaurant pass)Private medical insurance (for the whole family).The opportunity of working in an international environment.PTO for birthdayAt AXON Networks, we promote equal opportunities in all our recruitment processes, ensuring non‑discrimination on the basis of gender, age, origin, disability, or any other personal circumstances. We assess talent based on objective criteria and foster an inclusive and diverse working environment.axon-networks.Comaxon-networks.Hire.Trakstar.Com#J-18808-Ljbffr

Biorce ищетSenior Backend Developer (Delta Team) в Барселоне. Вы будете владеть основными backend-сервисами и API, работать над интеграциями в GTM-стеке и разворачивать функции на базе LLM. Ваша экспертиза Node.Js/NestJS, TypeScript и архитектура данных будут критически важны.Ожидается опыт наставничества, сильное владение REST/GraphQL и опытом CI/CD, Docker и облачными платформами (GCP предпочтительно). Гибридный формат, международная среда и акцент на качество кода и инженерные практики.#J-18808-Ljbffr

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.WHY JOIN USIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!ABOUT THE ROLEWe are looking for a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.WHAT YOU WILL DODesign, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL.Build and operationalize agentic workflows to automate data engineering and operational processes such as data validation, issue identification, troubleshooting, and workflow execution.Integrate agentic capabilities with existing Databricks, GCP, BigQuery, and Delta Lake environments.Develop data pipelines and processing solutions to support new business requirements and datasets.Build reusable frameworks and components that can be leveraged across multiple data engineering and business use cases.Implement data quality checks, monitoring, validation, exception handling, and production controls.Optimize PySpark and SQL workloads for performance, reliability, and scalability.Support testing, deployment, productionization, and ongoing enhancement of data and agentic solutions.Troubleshoot complex data and production issues and implement sustainable solutions.Collaborate with business, data engineering, and platform teams to identify further automation opportunities.MUST HAVES5+ years of strong hands-on experience with Databricks and PySpark .Advanced SQL and data-processing skills .Hands-on experience withGCP, particularly BigQuery .Experience withDelta Lake and modern data lake/lakehouse architectures .Strong understanding of ETL/ELT, data pipeline design, performance optimization, and data quality.Experience building reliable, scalable, production-grade data solutionsStrong analytical and troubleshooting skillsUnderstanding of software engineering practices, including testing, version control, deployment, monitoring, and production support.Upper-intermediate English level.NICE TO HAVESExperience developing or integrating AI/agentic workflows, AI agents, or workflow automation solutions.Experience applying AI to automate data engineering, validation, troubleshooting, or operational processes.Familiarity with orchestration and automation frameworks.Experience developing reusable data engineering frameworks and platform components.Exposure to productionizing AI-enabled solutions with appropriate validation, monitoring, and human oversight.PERKS AND BENEFITSProfessional growth : Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.Competitive compensation : We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.A selection of exciting projects : Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.Flextime : Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive.#J-18808-Ljbffr

Energize Group is seeking a Senior Data Engineer to join a large-scale Azure-based Data Platform transformation for a European travel-tech company. This remote-first role focuses on designing, building and migrating ETL/ELT pipelines across Delta Lake and Lakehouse architectures.You will work with Python, SQL and PySpark, implement CI/CD and IaC, and collaborate with Data Architects and Analysts to deliver scalable data solutions. Initial 12-month contract with extensions.#J-18808-Ljbffr

Location: Spain Working model: Remote-first Contract: Initial 12 months + Extensions Project: Long-term Data Platform transformation We are looking for a Senior Data Engineer to join a large-scale Data Platform transformation within a European company in the travel technology sector. Following significant growth, the organisation is modernising its data ecosystem and building a new Azure-based platform to consolidate data currently distributed across legacy systems, cloud applications and third-party platforms. You will join the Data Engineering team responsible for designing, building and migrating data pipelines into the new environment. You will be responsible for: • Designing and developing scalable ETL/ELT pipelines, • Building data transformations using Python, PySpark and SQL, • Developing solutions within Azure Databricks, • Migrating and redesigning existing data pipelines, • Working with Delta Lake and Lakehouse architectures, • Implementing data quality, monitoring and testing processes, • Optimising pipelines for performance and scalability, • Supporting CI/CD and Infrastructure as Code, • Working closely with Data Architects, Analysts and other engineering teams, • Strong professional experience as a Data Engineer, • Hands-on experience with Azure Databricks, • Advanced SQL, • Good understanding of modern data architectures, • Experience working within complex data environments Experience with Terraform, CI/CD, data platform migrations or large-scale datasets would be particularly valuable. If you're an experienced Data Engineer interested in joining a major Azure and Databricks transformation , we'd be interested in hearing from you. #J-18808-Ljbffr

Senior Data Engineer - ODSCountry: SpainOpen Digital Services is the software development company of Santander Group powering the next generation of banks by creating innovative banking products and implementing them in collaboration with Santander Group Affiliates. Santander Group is one of the world's largest financial institutions and the Eurozone's leader, we're committed to being the best Digital Bank with Branches in the industry.Our mission at ODS is to design and support an advanced digital and omnichannel platform, ensuring the best customer experience using cutting-edge technology. Openbank, our flagship partner, is where we develop our most advanced concepts first.Be part of our Best-in-Class team and help us create unique value for our customers! THE DIFFERENCE YOU MAKEAs a Senior Data Engineer within the Data Management department, you will design, build and optimize scalable data solutions that support analytics, machine learning, reporting and business-critical decision-making.You will work with large and complex data environments, developing robust data pipelines and distributed processing solutions using Spark-based technologies. This role is ideal for someone with strong data engineering fundamentals, hands‑on experience with Py Spark or Spark SQL, and the ability to build reliable production data solutions in cloud environments.To succeed in this role, you will be responsible for: Designing, developing and optimizing large-scale data pipelines using Apache Spark, mainly with Scala/Spark.Building and maintaining batch and near-real-time data processing solutions for high-volume data environments.Creating reliable, reusable and well-structured datasets consumed by Analytics, Data Science, Machine Learning and business teams.Working with cloud data platforms, ideally AWS, to process, transform, store and expose data efficiently.Implementing data quality, validation, monitoring and documentation practices across data pipelines.Collaborating with Data Engineering, Data Science, Machine Learning, Architecture and business teams to understand requirements and deliver practical data solutions.Contributing to engineering best practices around code quality, testing, version control, CI/CD and automation. WHAT YOU'LL BRINGProfessional Experience 5+ years of experience in Data Engineering, Big Data Engineering, Software Engineering or similar technical roles. Required Experience building production-grade data pipelines in large-scale or complex data environments. Required Hands-on experience working with Apache Spark in real projects, preferably with Scala. Required Experience working with cloud data platforms. Required Experience in banking, fintech or regulated environments. Preferred Language Fluent Spanish. Preferred Professional English. Required Hard Skills Strong experience with Py Spark, Spark SQL or Spark-based distributed processing. Required Strong Python or Scala coding skills for data engineering use cases. Required Solid SQL knowledge and experience working with relational and analytical databases. Required Experience designing and optimizing ETL/ELT processes. Required Experience with AWS or similar cloud ecosystems; ideally S3, Glue, Athena, EMR, Redshift, IAM or Lake Formation. Required Experience with Git and collaborative software development practices. Required Understanding of data quality, validation, monitoring and performance optimization. Required Experience with CI/CD or Dev Ops tools such as Jenkins, Sonar, Nexus, Jira, Splunk or similar. Preferred Scala experience. Preferred Experience with Apache Flink, Spark Streaming or near-real-time applications. Preferred Experience with Apache Iceberg, Delta Lake or modern lakehouse formats. Preferred Experience with Airflow or workflow orchestration tools. Preferred Soft Skills Strong problem-solving skills and ability to work autonomously. Required Ownership mindset and focus on building reliable, maintainable solutions. Required Ability to communicate clearly with technical and non-technical stakeholders. Required Collaborative approach and ability to work across Data Engineering, Data Science, ML and business teams. Required Curiosity and willingness to learn new tools, frameworks and cloud services. Required Open Digital Services is an equal opportunity employer. All applicants will be considered as equal without paying attention to gender identity, sexual orientation, ethnicity, religion, age, political orientation, union membership nor disability status.We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build.The personal data you provide as well as any data generated during the selection process are confidential and will be processed by Open Digital Services, S. L. with registered office at Plaza de Santa Bárbara 2, 28004 (Madrid), Madrid, Spain for the sole purpose of managing your participation in the selection processes and, where appropriate, to formalise your recruitment.For further information about your rights and data protection, please read the Open Digital Services Privacy Policy applicable to this type of data processing here#J-18808-Ljbffr

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to design scalable ETL/ELT pipelines, productionize agentic workflows, and integrate with Databricks, GCP, BigQuery, and Delta Lake environments.You will build reusable data engineering frameworks, implement data quality checks, and optimize workloads for performance and reliability while collaborating with cross-functional teams to automate processes.#J-18808-Ljbffr

Take a step forward and let Edenred surprise you. Every day, we deliver innovative solutions to improve the life of millions of people, connecting employees, companies, and merchants all around the world. We know there are hundred ways for you to grow. With us, you will expand your skills in a multicultural, challenging, and dynamic environment.Dare to join Edenred and get ready to thrive in a global company that will offer you endless opportunities.Edenred is all about meritocracy. You come as you are, and you contribute. Indeed, the Edenred Group recognizes, recruits and develops all talents and singularities. We are committed to preventing all forms of discrimination and to providing all our candidates with equal opportunities regardless of their gender and gender expression, disability, origin, religious belief and sexual orientation or any other criteria.Misión del puestoBuscamos un/a BI Developer con fuerte orientación a negocio cuyo objetivo sea diseñar, desarrollar y mantener soluciones de Business Intelligence que permitan a los equipos tomar decisiones basadas en datos. El rol se centra principalmente en:Dashboarding y reportingAnalítica de negocioVisualización de datos y experiencia de usuarioCorrecta interpretación y uso del datoEl BI Developer actúa como puente entre el negocio y los datos, asegurando que la información presentada sea clara, consistente y accionable.Responsabilidades y funciones del puesto1. Business Intelligence & ReportingDiseñar, desarrollar y mantener dashboards e informes interactivos orientados a negocio.Traducir requerimientos funcionales en soluciones BI claras, eficientes y fáciles de consumir.Aplicar principios de visualización de datos, UX/UI y data storytelling en dashboards y reportes.Participar en la definición de KPIs y métricas de negocio, asegurando consistencia y alineación.Optimizar el rendimiento de dashboards, modelos semánticos y consultas SQL / DAX.Definir y mantener estándares de diseño y buenas prácticas de BI.2. Análisis de datosAnalizar datos para identificar tendencias, desviaciones y oportunidades de mejora.Apoyar a los equipos de negocio en la interpretación correcta de los datos.Elaborar documentación funcional de dashboards, KPIs y lógicas de cálculo.Actuar como punto de referencia en el uso correcto de indicadores e informes.3. Gestión del dato (nivel BI)Validar la calidad y consistencia del dato consumido en BI.Gestionar incidencias de datos y coordinar con equipos de IT cuando sea necesario.Asegurar una interpretación común de los KPIs y métricas entre usuarios.Requisitos+3 años de experiencia (perfil mid/senior) en: Business Intelligence, Análisis de datos o Controlling / performance management (1)Experiencia práctica en entornos analíticos orientados a negocio.Dominio de inglés hablado y escrito (interacciones con sede y data community de otras Bus).Conocimientos Técnicos:Se valorará título en Administración de Empresas, Ciencia de Datos, Ingeniería Informática, o Estadística.Experiencia en herramientas deBusiness Intelligence y visualización(Power BI, Tableau, Looker, Qlik u otras) y habilidades analíticas sólidas. (2)Experiencia trabajando conDatabrickscomo plataforma de datos:Uso de notebooks (SQL / Python)Consumo de datos desde Delta LakeComprensión de arquitecturas LakehouseConocimientos sólidos deSQLy modelado de datos (modelo estrella, relaciones, métricas).Experiencia enlenguajes analíticoscomo DAX (o equivalentes según herramienta BI).Conocimientos deUX/UI aplicados a dashboards :Experiencia integrando múltiples fuentes de datos.Interés paraIA y su aplicación al negocioRequisitos deseablesExperiencia enPythonpara análisis de datos o preparación de datasets en Databricks.Conocimientos deData Engineering básico(pipelines, optimización de queries).Experiencia enstorytelling con datosy presentaciones ejecutivas.Conocimientos de herramientas de diseño (Figma, Adobe XD, similares).Experiencia en entornos cloud (Azure, AWS o GCP).Experiencia en metodologías ágiles (Scrum, Kanban).Competencias claveFuerte orientación a negocio y a usuario final.Mentalidad analítica y atención al detalle.Capacidad para explicar datos de forma clara y visual.Buenas habilidades de comunicación.Autonomía, proactividad y pensamiento crítico.Capacidad de trabajo transversal con perfiles técnicos y de negocio.Sensibilidad estética aplicada a la visualización de datos.Habilidades Analíticas y de comunicación:Proactividad e interés para el negocioPensamiento analítico y capacidad para resolver problemas complejos.Buenas habilidades de comunicación y trabajo en equipo.Habilidades de Resolución de Problemas.#J-18808-Ljbffr

Position Summary:At managed.Com, we're a remote-first, global team. We're also AI-first, so finding practical ways to use AI is part of every role here.As the Program Manager, Vendor Operations, you will own the recurring vendor catalog publication cycle and drive automation of how vendor updates are processed and delivered to partners through the platform. This hands‑on role combines data analysis, API integrations, and technical program management to streamline workflows, improve operational efficiency, and ensure accurate, timely delivery of vendor catalog updates.What you’ll do:Own the monthly vendor catalog publication cycle end to end, including delta review, end-of-sale handling, plan continuity and publication to partner platformsValidate catalog and price‑list output, identify incorrect results before publication and coordinate corrective actionPrototype and automate recurring vendor operations with different engineering teams using data, APIs, scripting and practical AI toolingBuild and maintain the vendor obligation calendar for API deprecations, program changes, enforcement deadlines and price‑list republicationsTrack vendor release notes and announcements and translate them into dated commitments, requirements and operational plansLead vendor release and enforcement programs, including work‑back plans, test plans, communication plans and go/no‑go coordinationPartner with Product and Engineering to shape platform requirements from vendor specifications and operational needsMaintain partner‑facing knowledge, release notes, announcements and vendor escalation paths in collaboration with SaaS Delivery and Professional ServicesMake routine publication decisions independently and escalte changes that affect partner‑visible commitments or datesSupport other tasks or projects as assigned to meet team and business needsAbout you:5+ years of experience in program, product or engineering roles within B2B SaaS, cloud or distributionHands‑on experience owning a recurring, deadline‑bound catalog, price‑list or production data pipelineWorking‑level ability to analyze data at scale and compare catalog outputs between cycles to identify meaningful changesPractical scripting capability in Python, SQL or an equivalent language to build initial checks, reports or prototypesAbility to read vendor API documentation and release notes and assess the operational impact of technical changesCloud channel, CSP or distribution literacy, with vendor‑catalog or price‑list experience at a distributor, marketplace or CSP platform considered an assetDaily practical use of AI tools, with experience taking responsibility for the quality of AI‑assisted outputAbility to coordinate work across Engineering, Product, Delivery and partner‑facing teams without direct authorityStrong ownership, attention to detail and judgment when working with partner‑visible data and external deadlinesExperience with Microsoft Partner Center, CSP or NCE, Adobe VIP Marketplace, or comparable platforms is considered an assetSpanish is considered an asset for collaboration with peers based in SpainCommunication skills and fluency in written and spoken English, with other languages considered an assetWhat we offer:Remote‑first work, with team members across many countriesCompetitive pay, benchmarked against the markets we hire inRoom to grow, with real ownership of your work and support for professional developmentFlexibility in how and when you work, within the core hours your team needsAccess to the AI tools you need to do your work, and the room to experiment with themAbout us:Managed.Com is the company behind a family of specialist brands spanning business technology, infrastructure, and channel commerce. These include HostPapa, ColoCrossing, Hostopia, CloudBlue, and LogoMaker. Each brand serves its market through its own products and customer experience. Together, we are bringing those strengths closer to create more connected experiences and help businesses build, operate, and grow in the AI era.Our culture is built on trust, respect, and doing work that matters to our customers. As our brands come together, there's real room to grow into new roles and new areas of the business.Managed.Com is an equal‑opportunity employer. We value the range of backgrounds, perspectives, and experiences across our team, and we hire and promote based on skills and contribution.We're committed to providing accommodations for people with disabilities at every stage of the hiring process. If you need an accommodation, let us know, and we'll work with you to meet your needs.It is anticipated that this position will be performed outside of Ontario.#J-18808-Ljbffr

Описание:We are looking for Data Engineers to join a long-term strategic project in the insurance sector. This is a greenfield project to migrate and build a modern data platform using the Databricks stack. Your mission will be to lead the design and construction of anonymized Data Marts within a state-of-the-art corporate data platform, ensuring the highest standards of quality, security and compliance.Задачи:Design and build robust Data Marts within a Cloud ecosystem.Develop comprehensive technical documentation and data management methodologies.Optimize jobs in Apache Spark and manage workflows in Databricks.Ensure data quality through testing, CI/CD and software engineering best practices.Implement anonymization protocols to ensure regulatory compliance.Требования:At least 4 years of experience in Data Engineering roles.Expert proficiency in Azure (Data Factory, ADLS).Advanced knowledge of Databricks (Delta Lake, Workflows, Spark Optimization).Expert programming skills in Python (PySpark) and strong SQL skills.Proven track record in Lakehouse / Medallion environments.Strong knowledge of CI/CD and version control.Fluent English (C1 level, written and spoken).A proactive mindset and strong technical problem-solving skills.Focus on writing Clean Code and maintainable code.Attention to detail and the ability to work independently.Условия:Location: Barcelona (Hybrid Model).Travel: Not required.Project: Direct impact on the data strategy of a large corporation.Real flexibility – A model adapted to your project and work-life balance.Personalized training plan – We design your development roadmap with you.Triple support – A Coach, a Manager and an HR representative are always by your side.Competitive benefits package – Health insurance (including physiotherapy and psychology) + Meal voucher + Transport.International environment – More than 3,000 colleagues in Europe and Canada.Great Place to Work – A culture based on closeness, transparency and genuine support.Events, after-work gatherings and an active community – Team building, charity initiatives, meetups, internal celebrations… We like to share beyond work!#J-18808-Ljbffr

Are you ready to shape the future of a world-class data platform in a global insurance environment? Chubb European Group is looking for a Senior Data Engineering Lead to drive the design, build, and evolution of our data platform across Azure, Databricks, and Snowflake . This is a hands-on leadership role with real architectural influence. You’ll set the technical direction for complex, data-heavy solutions, lead engineering squads through the full delivery lifecycle, and help define the frameworks, patterns, and integrations that power data across the business. We’re looking for an experienced engineer who wants more than delivery — someone who wants to own the “how” of a modern data platform, write code where it matters, raise the bar on engineering quality, and mentor others while turning strategy into production-ready solutions. The role reports to the EMEA Data Engineering and Architecture Lead and works closely with engineering squads, solution architects, product owners, and business stakeholders across the region. • Lead the design, build, and optimisation of scalable, high-performance data pipelines and applications on Databricks, Snowflake, and Azure, • Stay hands-on with critical code paths, solving complex technical challenges and setting the standard for quality, testing, and operational excellence, • Define and promote engineering standards across squads, including coding practices, CI/CD, testing, observability, and performance, • Guide delivery from discovery to go-live across multiple initiatives, ensuring speed without compromising quality, security, or maintainability, • Mentor engineers, review designs and pull requests, and help grow the data engineering capability, • Champion Agile ways of working to improve team effectiveness and delivery flow, • Make pragmatic architecture decisions across cloud-native solutions, microservices, and event-driven patterns, • Design and build core data assets on Databricks, including medallion-style data lakes, PySpark pipelines, streaming solutions, and downstream data products, • Partner with architects and stakeholders to ensure solutions align with business goals, compliance requirements, and target architecture Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). • Strong hands-on experience building and operating production data platforms on Databricks and Snowflake, • Deep knowledge of Spark, SQL, Python , and cloud data engineering on Azure, • Proven experience leading engineering squads and owning technical direction, trade-offs, and outcomes, • Strong background in data warehouse design, distributed systems, performance tuning, cost optimisation, and resilience, • Experience with Databricks on Azure , PySpark , Delta Lake , Structured Streaming , Delta Live Tables , and Event Hubs/Kafka, • Confidence working across the full SDLC, with strong CI/CD, automated testing, and observability practices, • Ability to influence senior stakeholders and translate business needs into clear technical solutions, • Experience in insurance or financial services is a plus, • 32days of vacation a year, • 2 days working from home option + additional flexible days, • Working from home allowance, • Entry time flexibility, • Private medical insurance, • Life and accident insurance, • Pension plan, • Stock purchase plan, • Employee assistance program, • Comprehensive Learning & Development offer Integrity. Client Focus. Respect. Excellence. Teamwork Our core values dictate how we live and work. We’re an ethical and honest company that’s wholly committed to its clients. A business that’s engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that’s collaborative and supportive. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. It is our policy to provide equal employment opportunity in all of our employment practices without regard to race, color, religion, sex, national origin, ancestry, marital status, age, individuals with disabilities, sexual orientation or gender identity or expression or any other legally protected category. Applicants for positions with Chubb Spain must be legally authorized to work in Spain. • Job Identification 29515, • Job Schedule Full time, • Regular or Temporary Regular, • Job Category Platform Architecture, • Business Unit Spain, • Legal Employer Chubb European Group SE Spanish Branch #J-18808-Ljbffr

Join a project shaping the future of sustainable energy through cutting‑edge data engineering and scientific innovation. We are looking for a Data Engineer to help build scalable cloud-native data platforms for a deep‑tech Customer working on one of the most ambitious fusion energy initiatives in the world.You will work with modern distributed data technologies, including Databricks, Apache Spark, AWS, and Azure, while solving complex engineering challenges in a research‑intensive environment.We at Sigma Software value engineering excellence, long‑term partnerships, and continuous learning. This is an opportunity to contribute to breakthrough scientific initiatives while working with modern technologies and highly skilled global teams.PROJECTThe project focuses on building and evolving a modern cloud‑based data platform supporting scientific research, analytics, and operational workflows in the fusion energy domain. The team develops scalable distributed data processing solutions while ensuring high standards of data quality, lineage, governance, reproducibility, and operational reliability.You will work closely with scientists and engineers to support experimentation, analytics, and machine learning workflows in a highly innovative R&D environment.Job DescriptioDesign, develop, and maintain scalable and reliable data platforms and pipelines for analytics and operational use caseBuild distributed data processing workflows using Apache Spark, pySpark, and DatabricDevelop and evolve cloud-native data solutions leveraging Azure and AWS servicesModel and optimize data structures for analytics, reporting, and downstream consumptionIntegrate data from multiple heterogeneous sources while ensuring data quality, consistency, and traceabilityImplement data quality controls, schema validation, lineage tracking, and monitoring processesOptimize performance, scalability, reliability, and cost‑efficiency of data pipelines and infrastructureCollaborate closely with scientists, analysts, and engineering teams to translate business and research requirements into technical solutionsContribute to CI/CD processes, infrastructure automation, and engineering best practicesResearch and introduce new technologies and approaches within the data engineering ecosystemecosystemQual3+ years of commercial experience in Data Engineering2+ years of hands‑on production experience with DatabricksStrong expertise with Delta Lake, including medallion architecture and table optimizationAdvanced proficiency in Python, pySpark, and SQLDeep practical knowledge of Databricks components including Unity Catalog, Lakeflow Jobs / Workflows, and job optimizationHands‑on experience with AWS services including S3, IAM, KMS, and at least one of AWS Batch, ECR, EventBridge, Lambda, or API GatewayExperience designing event‑driven and asynchronous data pipelinesStrong knowledge of Infrastructure as Code and CI/CD practicesPractical experience with Terraform and Databricks Asset BundlesExperience working with Git workflows, pull request reviews, and automated testingUnderstanding of secure authentication approaches such as OIDC and service principalsPractical experience with MLflow, experiment tracking, model registry, and reproducibility practicesStrong understanding of data quality, lineage, schema contracts, and provenance conceptsExperience with data quality frameworks such as Great Expectations, Soda, pyDeequ, or Databricks DQXExperience monitoring and optimizing data platform reliability and cloud costsUpper-Intermediate or higher English levelWILL BE A PLUS:Experience packaging workloads using Docker and running batch workloads in AWSFamiliarity with ECR and containerized data processing solutionsExperience with experiment optimization libraries such as scikit‑optimize, BoTorch, Ax, or scipyUnderstanding of ML feature engineering and leakage prevention techniquesExperience working in regulated or high‑security environmentsKnowledge of data governance, compliance, and data residency requirementsExperience disabling or restricting AI‑assisted tooling/ features in secure environments#J-18808-Ljbffr

AgileEngine is hiring a Data Engineer to design, build, and scale ETL/ELT pipelines using Databricks and PySpark. You will productionize agentic workflows and integrate with GCP, BigQuery, and Delta Lake in a data-driven environment.The role requires 5+ years in Databricks/PySpark, advanced SQL, and strong data engineering fundamentals. English level is upper-intermediate; remote-friendly with a hybrid setup in Madrid offices.#J-18808-Ljbffr

Our talented Data Engineering team is made up of globally recognized experts - and there’s room for more analytical and ambitious data professionals. If you’re passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let’s talk. Take your skills to a new level and launch a career where you can truly do what matters. Come join us:As a member of the Data Engineering team, you’ll have access to the research, knowledge, and tools to create leading-edge solutions across Avanade’s Business Intelligence practice. The role of Data Engineer is perfect for ambitious technologists passionate about working with the latest Microsoft cloud technology and Microsoft experts. Our clients look to us for innovation, which means you’ll have early access to the newest Microsoft technologies so you can master them and stay ahead of the curve. Together we do what matters.Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines and ETL/ELT processes.Build modern data solutions using Databricks and cloud technologies.Develop and optimize data transformations using Python, PySpark and SQL.Work with Delta Lake and lakehouse architectures to process large volumes of structured and unstructured data.Implement data ingestion, transformation, integration, and quality processes.Collaborate with Data Architects, Data Scientists, BI specialists, and business stakeholders.Apply best practices around data quality, performance, governance, security, and maintainability.Participate in international projects, communicating with clients and colleagues in English.Equal Employment Opportunity StatementAll employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.Avanade is committed to providing veteran employment opportunities to our service men and women.Please read Avanade's Hiring and Privacy Statement for more information on how we process your data during the Recruiting and Hiring process.#J-18808-Ljbffr

Multiverse ComputingMultiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world.With 180+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence.Our flagship products, CompactifAI and Singularity, address critical needs across various industries:CompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems—such as language models—to make them significantly more efficient and portable.Singularity is a quantum- and quantum-inspired optimization platform used by blue-chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware.You’ll be working alongside world-leading experts to develop solutions that tackle real-world challenges. We’re looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity.We’re committed to building a truly inclusive culture—come and join us.ResponsibilitiesOwn the end-to-end design and delivery of data platform architectures — lakehouse, data catalog, and governance — from initial scoping through production releaseDesign, implement, and operate large-scale ETL/ELT pipelines and workflow orchestration to ensure data is clean, accurate, versioned, and accessibleDefine data modeling, partitioning, schema evolution, and versioning conventions so datasets remain queryable, interoperable, and reproducible at scaleEstablish and maintain authoritative data catalogs, including schemas, metadata, lineage, sensitivity labels, and access policiesValidate released datasets against their sources for completeness, correctness, schema consistency, and query performance, defining objective acceptance criteriaWork closely with Machine Learning and AI Engineers to make data products directly consumable by analytics, APIs, and AI/agent workflowsCollaborate with clients and cross-functional teams to scope requirements, lead technical sessions, and document architectures for knowledge transfer and internal ownershipMentor and support other data engineers, reviewing designs and code and raising the team's engineering standardsStay up to date with emerging trends in data engineering — open table formats, data catalogs, orchestration — and drive their adoption where they add valueRequired qualifications:Bachelors or master's degree in computer science, software engineering, or a related field5+ years of professional experience in data engineering, including ownership of production data platforms or pipelinesExpert programming skills in Python and strong command of SQLExpertise in data modeling, ETL development, and database management, with both SQL and NoSQL databasesHands-on experience with lakehouse architectures and columnar / open table formats (e.G., Parquet, Apache Iceberg, Delta Lake)Experience with distributed data processing frameworks such as Spark, and with workflow orchestrators such as Airflow or Argo WorkflowsStrong experience with cloud data platforms (Azure, AWS, or GCP), including object storage, containers, and KubernetesSolid grounding in data governance: catalogs, metadata, lineage, access control, and dataset versioningComfortable with Git-based workflows, CI/CD, and infrastructure-as-code working modelsExcellent problem-solving, communication, and collaboration skills; able to lead technical discussions with clients and stakeholders in EnglishNice to have:Experience with scientific or geospatial data formats and tooling (e.G., Zarr, NetCDF, GRIB2, xarray, H3 spatial indexing)Experience preparing and serving data for LLM, RAG, or agent-based applicationsPrevious experience in consulting or client-facing delivery teamsPerks & BenefitsIndefinite contract.Equal pay guaranteed.Variable performance bonus.Signing bonus.We offer work visa sponsorship (If applicable).Relocation package (if applicable).Private health insurance.Flexible remuneration: hospitality and public transportation.Eligibility for educational budget according to internal policy.Hybrid opportunity.Flexible working hours.Language classes and discounted lunch optionsWorking in a high paced environment, working on cutting edge technologies.Career plan. Opportunity to learn and teach.Progressive Company. Happy people cultureAs an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.#J-18808-Ljbffr

Avanade Inc. is seeking a Data Engineer in Madrid to design and build scalable data pipelines using Databricks and cloud technologies. You will transform data with Python, PySpark, and SQL, while working with Delta Lake and lakehouse architectures to handle large volumes of diverse data.Join a global team, collaborate with architects, scientists, and BI experts, and contribute to data quality, governance, and security in international projects. Fluent English preferred.#J-18808-Ljbffr

Buscamos incorporar un/aArquitecto/a Técnico Azure Databrickscon experiencia en ingeniería del dato y diseño de soluciones Lakehouse en entornos productivos.REQUISITOS IMPRESCINDIBLES:Titulación universitaria o formación equivalente en Ingeniería Informática,Telecomunicaciones, Matemáticas, Estadística o similar.+3 años en proyectos de ingeniería del dato y +2 años trabajando con Databricks en producción.Certificación Databricks Certified Data Engineer Professional (imprescindible).Apache Spark y PySpark.Databricks Data Intelligence Platform, Delta Lake, Delta Tables y Databricks SQL.Delta Live Tables / Lakeflow Declarative Pipelines.Databricks Asset Bundles.Optimización: particionamiento, Z-Ordering, Liquid Clustering, caching y file compaction.AWS y Databricks on AWS.Azure: ADLS, Data Factory, Microsoft Fabric, Key Vault y Azure DevOps.FUNCIONES:Diseñar y mantener pipelines batch y streaming sobre Databricks.Desarrollar procesos de ingesta y transformación con Spark, PySpark y SQL.Diseñar y evolucionar arquitecturas Lakehouse / Delta Lake.Construir modelos bajo arquitectura Medallion (Bronze, Silver y Gold).Desarrollar y optimizar notebooks, jobs y workflows.Aplicar técnicas de optimización sobre tablas Delta y cargas distribuidas.Definir estándares de desarrollo, versionado, despliegue y documentación.Colaborar con equipos de datos, gobierno y negocio.VALORABLE:Migración de ETL tradicionales a Databricks.Kafka u otras plataformas de streaming.dbt, Airflow u otras herramientas de orquestación.Terraform para aprovisionamiento de Databricks.CONDICIONES:100% teletrabajoProyecto estable y de larga duración.#J-18808-Ljbffr

ОписаниеWe are looking to add a Data Engineer to NTT DATA's Digital Supply Chain & Innovation (DSI), with an interest in developing advanced data, Generative AI and agentic system solutions applied to Supply Chain and Manufacturing. The role will join multidisciplinary teams designing, building and evolving AI solutions for enterprise and industrial environments, working at the intersection of Data Engineering, Cloud, AI Engineering and IT/OT architecture. We are not looking only for someone focused on building data pipelines, but an engineer able to understand how data must be captured, contextualized, governed and served to become the foundation for copilots, AI agents, decision systems and intelligent solutions deployed across real business processes.ЗадачиBuild and maintain data ingestion, transformation and processing pipelines, both batch and near-real-time or event-driven. Integrate information from multiple enterprise and industrial systems: ERP, MES, WMS, TMS, APS, databases, APIs, Io T, OT platforms and document sources. Build data layers that allow LLMs and AI agents to access corporate information in a controlled way, including Retrieval-Augmented Generation (RAG), hybrid search and structured retrieval patterns. Design data integration mechanisms for agentic architectures through APIs, events, tools, services and integration protocols such as MCP, where applicable. Participate in the design and implementation of Data Products and Data Contracts, establishing schemas, quality, ownership, SLAs, versioning and observability mechanisms. Implement pipelines for structured, semi-structured and unstructured data, including chunking, embeddings, indexing and metadata enrichment strategies. Design and operate solutions on Lakehouse and Cloud Data Platform architectures, applying scalability, resilience, security and efficiency principles. Integrate cloud solutions with industrial environments and IT/OT architectures, including APIs, events, Io T and patterns based on Unified Namespace (UNS). Collaborate with architecture, AI Engineering and Data Science professionals, and business specialists, to turn Supply Chain and Manufacturing needs into technically viable solutions. Participate in building reusable accelerators, connectors, components and patterns that can be used across different clients, plants and use cases. Define and implement Data Quality, observability and monitoring mechanisms to identify problems with data completeness, consistency, freshness or availability. Apply CI/CD, Infrastructure as Code, testing and automation practices to the lifecycle of data platforms and products. Participate in Po Cs and technology experimentation, evaluating new technologies and determining their viability, performance and scalability before industrialization. Contribute to the evolution of DSI reference architectures for Gen AI, Agentic AI, Supply Chain and Manufacturing solutions.ТребованияAbility to design solutions, not only implement closed specifications. Good knowledge of SQL and relational and analytical data modeling. Experience programming mainly in Python and developing data processing components. Experience building ETL/ELT processes and integration pipelines. Knowledge of modern data architectures: Data Lake, Lakehouse, Data Warehouse and medallion architectures. Experience with distributed processing technologies such as Spark. Knowledge of data storage formats and technologies such as Parquet and Delta Lake. Experience working with relational databases and ability to understand different persistence patterns. Knowledge of REST APIs, system integration and service-oriented architectures. Familiarity with cloud technologies and with the security, identity, networking and deployment principles required to operate an enterprise data platform. Ability to design solutions with performance, scalability, resilience, maintainability and cost in mind. Good development practices: Git, testing, CI/CD, documentation and code review. Ability to work jointly with architects, Data Scientists, AI Engineers and functional specialists. Technological curiosity and ability to learn emerging technologies quickly. Interest in understanding the business process behind the data and not limiting oneself exclusively to its technological dimension. We especially value profiles able to move naturally between software, data and architecture, avoiding an excessively narrow view of Data Engineering.УсловияPermanent contract from day one. Compensation in line with your experience and knowledge. Personalized career plan and category and salary reviews. Flexible benefits, to allocate part of your salary to social benefits (restaurant voucher, transport voucher, childcare), resulting in tax savings, plus a flexible allowance in addition to your salary for remote work and meals. Medical insurance + life and accident insurance. Hybrid work model and full-time schedule (Monday to Thursday from 8:30 a.M. to 6 p.M. and Friday from 8 a.M. to 3 p.M.). 23 vacation days + 2 personal leave days + 2 company holidays: December 24 and 31. Free access to courses at our corporate university (languages, technical training and competency skills). A diverse, creative, collaborative and multinational work environment.#J-18808-Ljbffr

Emerson Electric Co in Spain seeks a Control Systems Project Pursuit professional to lead the pursuit of strategic DCS and automation projects across key process industries. You will identify opportunities, influence specifications, engage with EPCs, end users, and consultants, and develop winning pursuit strategies using Delta V technologies.You will collaborate with sales, engineering, operations, and business development teams to address operational, reliability, cybersecurity, and digital#J-18808-Ljbffr

We are seeking a talented and motivated Databricks Engineer to join our Analytics Technology team. In this role, you will design, develop, and optimize scalable data solutions that power business intelligence, advanced analytics, reporting, and AI-driven initiatives across the organization.You will work closely with data engineers, analysts, architects, software developers, and business stakeholders to deliver reliable, high-quality data products that enable data-driven decision making. The ideal candidate combines strong expertise in the Databricks Lakehouse Platform, modern cloud-based data architectures, and data engineering best practices. Experience with .NET/C# development is highly desirable and will support seamless integration between enterprise applications and modern data platforms.This is an excellent opportunity for a data professional who enjoys solving complex business challenges, building scalable solutions, and contributing to the evolution of a modern analytics ecosystem.Key Responsibilities:Design, develop, and maintain scalable and efficient data pipelines using Databricks and cloud-native technologies.Build and optimize ETL/ELT processes for structured, semi-structured, and unstructured datasets.Develop robust data models, data quality frameworks, and monitoring solutions to ensure platform reliability.Support advanced analytics, machine learning, AI initiatives, and enterprise reporting through high-quality data products.Collaborate with business stakeholders and technical teams to translate requirements into scalable technical solutions.Troubleshoot data platform issues, identify performance bottlenecks, and implement effective resolutions.Contribute to CI/CD processes, automation initiatives, and infrastructure-as-code practices.Ensure adherence to data governance, security, compliance, and operational best practices.Participate in architectural discussions and drive continuous improvement across the data platform.Required Qualifications:Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline, or equivalent practical experience.Hands-on experience with Databricks and modern data engineering methodologies.Strong experience developing data pipelines using Python, Spark, and PySpark.Experience working with cloud platforms, preferably Microsoft Azure.Strong SQL skills and understanding of data warehousing concepts.Experience with source control and collaboration tools such as Git.Knowledge of data modeling, performance optimization, and data quality management.Strong analytical, troubleshooting, and problem-solving skills.Excellent communication skills and the ability to work effectively within global teams.Ability to work independently with minimal supervision and translate business requirements into technical solutions.Preferred Qualifications:Experience with Azure Databricks and the Microsoft data ecosystem.Knowledge of Delta Lake, Unity Catalog, and Lakehouse architecture principles.Experience with orchestration tools such as Azure Data Factory, Apache Airflow, or similar platforms.Understanding of DevOps practices, CI/CD pipelines, and automation frameworks.Experience developing APIs or backend services using .NET/C#.Familiarity with Power BI or similar business intelligence tools.Experience supporting AI, machine learning, or advanced analytics workloads.Knowledge of containerization technologies such as Docker and Kubernetes.Technical EnvironmentData & AnalyticsDatabricksAzure DatabricksPySparkSpark SQLDelta LakeUnity CatalogSQLPythonCloud & Data IntegrationMicrosoft AzureAzure Data FactoryAzure StorageDevelopment & DevOpsGitAzure DevOpsCI/CD.NETC#REST APIsModern Platform TechnologiesDockerKubernetesPower BIWhat Success Looks Like:Delivering scalable, reliable, and high-performing data solutions that drive business insights.Improving data pipeline performance, quality, and operational efficiency.Promoting engineering best practices, automation, and governance standards.Building strong partnerships with analytics, engineering, and business teams.Contributing to the organization's long-term modern data and analytics strategy.Why Join Us?You will have the opportunity to work with modern cloud technologies, large-scale datasets, and cutting-edge analytics solutions in a collaborative and innovative environment. Your contributions will directly support data-driven decision making and help shape the future of our enterprise data platform.#J-18808-Ljbffr

Livensa is one of Europe's leading student and flex living operators, with around 12,000 beds across Spain and Portugal and plans to grow into Italy, Germany, France and Austria. Part of the Nido Living group, owned by CPP Investments. After two portfolios merged and moved onto one new platform, we are building a single source of truth for occupancy, revenue and the resident journey, and the foundation for pricing and AI.The roleYou will be the first data engineer on the team, reporting to the Head of Data & AI. You will build and run our lakehouse on Databricks: ingest data from our operational systems, model it into metrics the business trusts, and put it into production with proper pipelines and monitoring.What you will doBuild ingestion pipelines from our core systems: Mews (PMS and billing), HubSpot (CRM), Dynamics 365, web and app analytics, and legacy sources being retired.Work on the platform's integrations with Mews and our other operational systems (webhooks, sync and billing services, Service Bus and Event Hubs), together with the product team.Model data in Databricks (Unity Catalog, Delta Lake, medallion architecture) with PySpark and SQL.Deliver the data behind company KPIs (occupancy, revenue, rebooking, conversion) and serve it to Power BI and other systems.Own CI/CD for the data platform in Azure DevOps (Databricks Asset Bundles, Terraform), with tests, data quality checks and monitoring.Act as the senior engineer on deployments and cloud operations for the whole platform, backing up and coaching the Full Stack engineer.Contribute to analytical and ML work as it starts: demand forecasting, pricing and occupancy mix, language models.What you bring5+ years as a data engineer, with production pipelines you've owned end to end.Strong Python, PySpark and SQL.Hands-on Databricks (or Spark on another lakehouse) and Azure data services.CI/CD and infrastructure as code (Azure DevOps or GitHub Actions; Terraform or Bicep), for data workloads and ideally for application deployments.Data modelling for analytics (dimensional or similar) and data quality practices.Integration with REST APIs and event streams (webhooks, Event Hubs, Service Bus or Kafka).Professional Spanish & English; you can agree a metric definition with finance and commercial teams.Nice to haveData science or ML experience: forecasting, pricing or revenue management, MLflow.Power BI and semantic models; C# / .NET (our integration services are built in it).Build the data platform of a growing European operator, almost from scratch.Direct impact on pricing, occupancy and NOI decisions.Modern Azure + Databricks stack, managed services, and room to automate.#J-18808-Ljbffr

We are EDP, a global energy company present in around 29 markets with a particular emphasis on renewable energies. With more than 45 years of experience, we have been consolidating a relevant presence on the world energy scene based on the commitment to be all-green by 2030, leading the energy transition. With more than 13,000 employees around the world, we are committed to using our energy and heart to drive a better tomorrow.The mission of Operational Data Office and Reporting area is to ensure the EDPR Corporate Operational Reporting and KPI generation and the management of the Operational Data and Reporting solutions to grant the standardization, governance, quality and optimization of the data and reporting processes to add value to the business.Operational Data Office main accountabilities:Management of the Interstellar Datahub Solution, ensuring the internalization of the functional maintenance and evolution activities of EDPR’s operational data solutions.Ensure the design, development, engineering, evolution and technical ownership of the Operational Interstellar datahub and cloud-based operational data platform.Coordination with Operational Reporting Solution, ensuring the alignment with the data model and available information in Interstellar Datahub Solution.Grant an efficient interface and interaction with the rest of Dispatch Center areas, as well as with other EDPR areas and stakeholders which are relevant for the Operational Data Office and Reporting area activities and responsibilities.This role provides the leadership required for the development, engineering, and evolution of EDPR's Operational Data Platform, combining expertise in Data Engineering, cloud technologies, data architecture, automation, and software development to support critical business capabilities.Main responsibilities:Own the end-to-end management, governance, and continuous evolution of the Operational Interstellar Datahub, ensuring its availability, reliability, scalability, and alignment with business objectives.Design, implement, maintain, and optimize data models, tables, views, and data structures within the Databricks environment to support operational and analytical use cases.Develop, maintain, and enhance ETL/ELT pipelines and data integration processes for incorporating new operational systems, business assets, and external data sources.Develop and maintain technical mechanisms supporting data quality monitoring and validation.Develop, maintain, and optimize code, scripts, stored procedures, notebooks, and automated routines supporting data processing, reporting, and operational workflows.Design and implement reusable data services, business logic, and automated processes that enable efficient generation of reports, operational views, KPIs, and business insights.Create, maintain, and continuously improve dashboards, reports, and visualization solutions to support internal operations, customer reporting, and management decision-making.Collaborate closely with business stakeholders to understand operational requirements, identify opportunities for automation, and translate business needs into scalable and sustainable data solutions.Work alongside technical teams to ensure seamless integration between operational systems, cloud platforms, and Interstellar DataHub architecture.Monitor platform performance and proactively identify opportunities to optimize data models, queries, pipelines, workflows, and system resources.Manage the lifecycle of data assets, ensuring version control, traceability, consistency, security, and compliance with internal data governance standards.Define and maintain technical documentation, data dictionaries, architecture diagrams, operational procedures, and development standards to ensure maintainability and knowledge sharing.Support incident analysis, troubleshooting, root cause investigation, and implementation of corrective and preventive actions related to data processes and platform operations.Evaluate and implement new technologies, methodologies, and best practices to continuously improve the Operational Interstellar DataHub architecture, capabilities, and efficiency.Drive automation initiatives that reduce manual effort, improve operational efficiency, and increase the reliability of recurring business processes.Act as the primary technical owner of the Operational Interstellar DataHub, ensuring its long-term sustainability, continuous enhancement, and alignment with evolving business and operational requirements.Platform Engineering & ArchitectureDefine and maintain the technical roadmap of the Operational Interstellar DataHub.Design scalable cloud-native architectures.Maintain CI/CD processes and deployment pipelines.Ensure platform performance, resiliency and security.Optimize cloud infrastructure utilization and operating costs.Define development standards and coding guidelines.Evaluate emerging technologies applicable to the platform.Ensure interoperability with enterprise systems and APIs.Systems and Stakeholders KnowledgeDevelop and maintain a comprehensive understanding of the renewable energy operational landscape, market solutions, and emerging technologies relevant to operational data management and reporting.Continuously evaluate industry trends, commercial platforms, and innovative technologies that could enhance the capabilities, efficiency, and scalability of the Interstellar DataHub Solution.Engage with internal and external stakeholders, technology providers, and subject matter experts to assess new functionalities, architectures, and best practices that support the evolution of the Interstellar DataHub.Analyze business opportunities and propose enhancements that improve operational monitoring, reporting capabilities, data accessibility, and overall business value.Act as a technical reference for data management and reporting solutions, ensuring alignment between business needs, technological capabilities, and corporate data strategy.Identify and coordinate the definition of new operational business needs.Cross-functional CollaborationEstablish strong collaboration with Operational and Tenchical departments, DGU, and other business departments to ensure the Operational Interstellar DataHub effectively supports operational processes and strategic objectives.Gather, analyze, prioritize, and translate business requirements into scalable data solutions, ensuring continuous alignment between operational needs and platform capabilities.Design and develop technical solutions supporting the definition, planning, and implementation of new operational data requirements, reports, dashboards, KPIs, and analytical functionalities.Promote the adoption of standardized data models, reporting practices, and governance principles across business units.Facilitate communication between technical and business stakeholders, ensuring clear understanding of priorities, requirements, risks, and delivery expectations.Operational Reporting Organizational MilestonesSupport the continuous adoption and effective utilization of the Interstellar DataHub Solution across the organization by providing technical guidance, user support, and knowledge sharing.Develop and maintain training materials, technical documentation, user guides, and best practice recommendations for end users and key stakeholders.Participate in communication, training, and change management initiatives related to new functionalities, reporting capabilities, and platform improvements.Contribute to cross-functional projects and organizational initiatives where operational data, reporting, and analytics play a strategic role.Foster a culture of continuous improvement by identifying opportunities to simplify processes, automate repetitive activities, and improve user experience.EDPR Institutional RepresentationContribute to the promotion and visibility of the Interstellar DataHub Solution as a strategic operational data platform within EDPR.Support the preparation of presentations, demonstrations, and technical materials showcasing the platform's capabilities, achievements, and business value.Collaborate in interactions with external stakeholders, including technology partners, investors, regulatory authorities, industry associations, and technical working groups, when required.Represent the Operational Interstellar DataHub initiatives in internal and external forums, promoting best practices in operational reporting, data management, and digital transformation.Contribute to positioning EDPR as a reference in the use of operational data, analytics, and digital solutions within the renewable energy sector.Employment type:Full-TimeWork site:Hybrid ModelCity:Porto (Portugal) or Madrid (Spain)What are we looking for:Graduation in Computer Science, Data Engineering, Information Systems or a related field, or another that fits the desired profile.Ability to read, write and speak English, and Portuguese or SpanishExperience working with Databricks in data engineering, analytics, or business intelligence environments with proficiency in SQL for data extraction, transformation, optimization and analysis and programming experience in Python and/or advanced SQL development. Understanding of data warehousing concepts and cloud-based data architectures.Mandatory experience in Databricks, Python, SQL, data pipelines, automation scripts, notebooks, and data transformation processes and cloud-native data engineering.Familiarity with Delta Lake and Spark technologies.Proficiency in distributed data processing architectures.Knowledge of metadata management, and master data management principles.Experience designing, developing, and maintaining ETL/ELT workflows, data integration processes, and orchestration frameworks.Strong understanding of relational and dimensional data modelling, data warehousing concepts, and data lifecycle management.Experience implementing data quality controls, validation frameworks, monitoring mechanisms, and data governance best practices.Experience working with source code repositories, version control systems (e.G., Git), collaborative development practices, and CI/CD methodologies is considered an advantage.Experience working directly with clients and translating business requirements into analytical solutions.Strong knowledge in reporting tools, namely PowerBI or other related data analysis and visualization tools.Proficiency in MS Office tools (Word, advanced Excel, Project, PowerPoint).Strong analytical and problem-solving skills.Solid communication skills; capability to establishtechnical discussions in different cultural environments.Strong organizational skills with the ability to manage multiple priorities, coordinate concurrent initiatives, and meet deadlines in dynamic environments.High degree of ownership, accountability, and commitment to delivering reliable, high-quality data products and services.Excellent communication and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.Capability to gather, challenge, and formalize business requirements, ensuring alignment between operational needs and technical implementation.Strong capacity to embrace new challenges.Ability to work with transversal teams in OT/IT projects.Excellent communication and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.Adaptability, learning agility, and willingness to embrace new technologies, methodologies, and business challenges.Good experience in support and maintenance; sense of commitment.More than academic knowledge and technical skills, we are looking for ambitious people who are enthusiastic about the future and who bring human skills aligned with our purpose.Equal opportunities for allOur vision is that each person combines their unique characteristics and experiences to fulfill our mission of creating new energy for the planet. We are an inclusive employer, ensuring all candidates are treated fairly throughout the recruitment process. We welcome and value all people, and we are committed to fostering a sense of belonging for each person who is part of the EDP group.As a top employer we:Empower our employees through a positive and innovative work environment that promotes collaboration and agile decision-making; Respect and value each person, providing a flexible, healthy, and inclusive workplace with a range of attractive benefits; Provide a meaningful work experience and prepare our people for future challenges through different opportunities for development and internal mobility; Our efforts have resulted in several distinctions over time, highlighting the EDP group's strong positioning and its dedication and commitment to attracting and retaining the best talent:Top employer certification by Top Employers InstitutePart of the Bloomberg Gender-Equality IndexTop 100 Workplaces by Houston ChronicleDiscover our tips to enhance your performance during the recruitment process and apply untilNovember 7, 2026if you think you are the right fit for this opportunity.#J-18808-Ljbffr

Senior Data Engineer - ODS Country: SpainOpen Digital Services is the software development company of Santander Group powering the next generation of banks by creating innovative banking products and implementing them in collaboration with Santander Group Affiliates. Santander Group is one of the world's largest financial institutions and the Eurozone's leader, we're committed to being the best Digital Bank with Branches in the industry. Our mission at ODS is to design and support an advanced digital and omnichannel platform, ensuring the best customer experience using cutting-edge technology. Openbank, our flagship partner, is where we develop our most advanced concepts first. Be part of our Best-in-Class team and help us create unique value for our customers!THE DIFFERENCE YOU MAKEAs a Senior Data Engineer within the Data Management department, you will design, build and optimize scalable data solutions that support analytics, machine learning, reporting and business-critical decision-making. You will work with large and complex data environments, developing robust data pipelines and distributed processing solutions using Spark-based technologies. This role is ideal for someone with strong data engineering fundamentals, hands-on experience with Spark, and the ability to build reliable production data solutions in cloud environments.Designing, developing and optimizing large-scale data pipelines using Apache Spark and Scala.Building and maintaining batch and near-real-time data processing solutions for high-volume data environments.Creating reliable, reusable and well-structured datasets consumed by Analytics, Data Science, Machine Learning and business teams.Working with cloud data platforms (AWS), to process, transform, store and expose data efficiently.Implementing data quality, validation, monitoring and documentation practices across data pipelines.Collaborating with Data Engineering, Data Science, Machine Learning, Architecture and business teams to understand requirements and deliver practical data solutions.Contributing to engineering best practices around code quality, testing, version control, CI/CD and automation.WHAT YOU’LL BRINGProfessional Experience5+ years of experience in Data Engineering, Big Data Engineering, or similar technical roles.Required Experience building production-grade data pipelines in large-scale or complex data environments.Required 5+ years of hands-on experience working with Spark in real projects with Scala.Required Experience working with cloud data platforms.Required Experience in banking, fintech or regulated environments.Preferred LanguageFluent Spanish.Preferred Professional English.Required Hard SkillsStrong experience with Spark-based distributed processing.Required Strong Scala coding skills for data engineering use cases.Required Solid SQL knowledge and experience working with relational and analytical databases.Required Experience designing and optimizing ETL/ELT processes.Required Experience with AWS or similar cloud ecosystems; ideally S3, Glue, Athena, EMR, Redshift, IAM or Lake Formation.Required Experience with Git and collaborative software development practices.Required Understanding of data quality, validation, monitoring and performance optimization.Required Experience with CI/CD or DevOps tools such as Jenkins, Sonar, Nexus, Jira, Splunk or similar.Preferred Hard SkillsPreferred Experience with Apache Flink, Spark Streaming or near-real-time applications.Preferred Experience with Apache Iceberg, Delta Lake or modern lakehouse formats.Preferred Experience with Airflow or workflow orchestration tools.Preferred Soft SkillsStrong problem-solving skills and ability to work autonomously.Required Ownership mindset and focus on building reliable, maintainable solutions.Required Ability to communicate clearly with technical and non-technical stakeholders.Required Collaborative approach and ability to work across Data Engineering, Data Science, ML and business teams.Required Curiosity and willingness to learn new tools, frameworks and cloud services.Open Digital Services is an equal opportunity employer. All applicants will be considered as equal without paying attention to gender identity, sexual orientation, ethnicity, religion, age, political orientation, union membership nor disability status. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build.The personal data you provide as well as any data generated during the selection process are confidential and will be processed by Open Digital Services, S.L. with registered office at Plaza de Santa Bárbara 2, 28004 (Madrid), Madrid, Spain for the sole purpose of managing your participation in the selection processes and, where appropriate, to formalise your recruitment.For further information about your rights and data protection, please read the Open Digital Services Privacy Policy applicable to this type of data processing hereThe Santander Way Santander is evolving from a global, high-impact brand into a technology-driven organization, and our people are at the heart of this journey. Together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. Our mission is to contribute to help more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management. Ready to make it happen? It starts with you. It starts here.#J-18808-Ljbffr

Zurich Insurance Group is seeking a Databricks Platform Engineer for our Technology Delivery Center. The role focuses on owning and evolving a scalable analytics platform powering the Global Finance Data Hub, with responsibilities spanning data ingestion, Delta Lake, and governance. You will collaborate with data engineering, architecture, and product teams to implement CI/CD, Ia C, and security controls in a regulated financial services environment. #J-18808-Ljbffr

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours. You provide software and application knowledge to support implementation of the given solutions. How you will contribute You will ensure that delivered services are optimized to meet business demands and the service operations strategy, plan, measure, report and communicate service improvement initiatives, and serve as a consultant on issues and resolutions. You will also recommend actions that can be taken to optimize investments and benefits and to mitigate risks. This role will require you to identify suppliers, evaluate them, on-board new vendors, establish and run vendor governance; collaborate with management and follow-up on requisitions, purchase orders, invoices, and payments; work with project resources to provide design collateral and to configure software components so they are aligned with security policy and governance; and ensure adherence todevelopment and configuration standards and processes. What you will bring A desire to drive your future and accelerate your career. You will bring experience and knowledge in: Working collaboratively with multiple vendors Leading complex projects - project management Stakeholder management and influencing skills Managing infrastructure services delivery, support and excellence Working in global IT function with regional or global responsibilities in an environment like Mondelēz International Working with IT outsourcing providers using frameworks such as the IT Infrastructure Library Working with internal and external teams and leading when necessary More about this role Mondelez Digital Services (MDS) is looking for Full Stack AI Engineers to join a growing engineering team building a new AI-powered insights platform. You will be part of a multi-disciplinary squad designing and delivering the intelligent systems that turn raw market data into decision-ready recommendations for stakeholders across global, regional, and local teams. The team needs engineers across several disciplines — full stack development, AI/ML engineering, and data engineering — and each successful candidate will specialise in one or more of these areas while contributing to the platform end-to-end. Key Responsibilities Design, build, and maintain data pipelines that ingest, transform, and serve market and business data using Python, Databricks (Delta Lake, Spark), and AWS services. Develop and deploy AI/ML models and LLM-based workflows, including retrieval-augmented generation (RAG), prompt engineering, and agent orchestration using frameworks such as Lang Chain or Lang Graph. Build and ship full stack applications (APIs, backend services, and front-end interfaces) that surface AI-generated insights to business users — using Python, React/Next.Js, and cloud-native services. Implement monitoring, logging, and alerting for pipelines, models, and applications to ensure reliability, performance, and cost-efficiency in production. Collaborate with Product, Data Science, and Business stakeholders to translate requirements into technical designs, user stories, and working software. Contribute to platform architecture decisions, including infrastructure-as-code (Terraform), containerisation (Docker), and CI/CD practices. Write clean, tested, well-documented code and participate in code reviews, sprint ceremonies, and knowledge-sharing across the team. We Are Looking For Candidates With Strong proficiency in Python and experience building production-grade applications or pipelines. Experience with one (or more) of the following disciplines: full stack development, AI/ML engineering, or data engineering — with a willingness to broaden across the other s. Hands‑on experience with cloud platforms, particularly AWS, and familiarity with Databricks (Spark, Delta Lake, Unity Catalog). Exposure to LLMs and generative AI — model integration, prompt engineering, RAG pipelines, or agent‑based architectures. Familiarity with modern web frameworks (e.G. React, Next.Js) and API design (REST, Graph QL). Understanding of data modelling, ETL/ELT processes, and working with structured and unstructured data at scale. Solid fundamentals in software engineering : version control (Git), testing, CI/CD, containerisation (Docker), and infrastructure-as-code (Terraform). Good communication skills, able to work in a cross‑functional team and explain technical trade‑offs to non‑technical stakeholders. Intellectual curiosity and a bias for learning, staying current with the fast‑moving AI/ML landscape. Nice to Have Experience with agent orchestration frameworks (e.G. Lang Chain, Lang Graph, Auto Gen, Crew AI). Familiarity with the Databricks ecosystem (MLflow, Feature Store, Genie). Exposure to NLP or multimodal AI. Experience with monitoring/observability tools (e.G. Prometheus, Grafana, Cloud Watch). Knowledge of security best practices in cloud and AI infrastructure. Prior experience in a CPG/FMCG environment or working with syndicated market data (Nielsen, Circana/IRI, Kantar). Supporto alla Relocation disponibile? Nessun supporto disponibile per la relocation Riepilogo business unit Alla Mondelēz International, la nostra missione è fornire ai consumatori lo snack giusto, al momento giusto, preparato nel modo giusto. Ciò significa offrire una vasta gamma di snack deliziosi e di alta qualità che nutrono i momenti della vita, realizzati con ingredienti e confezioni sostenibili per i quali i consumatori possono sentirsi bene. Disponiamo di un’ampia gamma di forti marchi internazionali e locali, tra cui molti nomi rinomati come i biscotti Oreo, bel Vita e LU; il cioccolato Cadbury Dairy Milk, Milka e Toblerone; le caramelle Sour PatchKids e la gomma da masticare Trident. Siamo orgogliosi di mantenere la prima posizione a livello globale nel business dei biscotti, cioccolato e caramelle e la seconda posizione per le gomme da masticare. I nostri 80.000 produttori e fornai si trovano in oltre 80 paesi e vendiamo i nostri prodotti in oltre 150 paesi in tutto il mondo. Le nostre persone sono stimolate a crescere e sono fondamentali per vivere il nostro scopo e i nostri valori. Siamo una comunità diversificata che può far accadere le cose e farle accadere velocemente. Mondelēz International è un datore di lavoro che offre pari opportunità e tutti i candidati qualificati verranno presi in considerazione ai fini dell’impiego a prescindere da razza, colore della pelle, religione, sesso, orientamento o preferenza sessuale, identità di genere, origine nazionale, stato di disabilità, stato di veterano protetto oppure qualsiasi altra caratteristica protetta dalla legge. Tipo di lavoro Contratto a tempo indeterminato Software & Applications Technology & Digital #J-18808-Ljbffr

Intellias is looking for aLead Healthcare Data Engineerto join a large-scale digital healthcare initiative focused on building a FHIR-based health data platform and transforming fragmented healthcare data into clean, standardized, and trustworthy information.The role requires bothdeep hands-on engineering expertise and broad technical influence— establishing reusable frameworks and standards, mentoring experienced engineers, and raising the engineering bar across the team.Project Overview:We're helping a US digital-health platform get its patients' medical data in order: lab results, diagnoses, medications, visits and more. The data comes from many different clinics and labs, each with its own format, so right now it's pretty messy. Our job is to clean up and standardize that data close to the source, bring scattered logic into one place, and see the real data quality every day instead of guessing. Data engineers will work mostly in Databricks/Spark, building pipelines, reference data and quality checks together with the dev team and clinical experts.Requirements:8+ years of professional experiencein data engineering, healthcare data platforms, HealthTech, or healthcare interoperability.ProvenLead-level technical ownershipof complex production systems, including the ability to set technical direction and solve problems spanning multiple components and engineering teams.Strong hands-on expertise inPythonand production-grade data engineering.Deep experience withApache Spark/PySpark at scale, including partitioning, performance optimization, memory tuning, and distributed processing.Experience with modern lakehouse technologies such asDatabricks and Delta Lake, or comparable platforms.Strong experience designing and operating large-scaleETL/ELT pipelines, including CDC, incremental/delta processing, idempotency, schema evolution, and batch/streaming workloads.Proven experience diagnosing and eliminating complexperformance and scalability bottlenecksin distributed data-processing systems.Deep hands-on experience withFHIR R4, including resources, profiles, Bundles, validation, and large-scale healthcare data transformation.Strong knowledge ofUS Core, USCDI, HL7 v2.X, and C-CDA-to-FHIR transformation patterns.Strong understanding of healthcare terminology standards includingSNOMED CT, LOINC, and RxNorm .Experience working with clinical, claims, coverage, eligibility, or comparable healthcare data models.Strong experience withdata quality, deduplication, record/patient linking, terminology normalization, and validation .Strong SQL skills and understanding of data modeling, schema evolution, data quality, and production data architecture.Experience withGit, CI/CD, automated testing, observability, and production operations .Strong understanding of healthcare security, privacy, and regulatory requirements, includingHIPAAand PHI-safe engineering practices.Proven ability to establishreusable engineering frameworks, architectural patterns, standards, and data-quality practicesadopted by other engineers.Demonstrated technical leadership through architecture/design reviews, mentoring, pairing, and cross-team engineering influence.Practical experience usingAI coding agents such as Claude Code or comparable agentic engineering toolsas an integral part of the development lifecycle.Strong engineering judgment around when to useAI/LLM-based approaches versus deterministic rule-based solutions, particularly where correctness, cost, performance, or PHI safety are critical.Professional English sufficient for direct collaboration with U.S.-based technical and business stakeholders.Nice to HaveDeep experience withlarge-scale FHIR data modeling and healthcare interoperability platforms .Experience withMaster Patient Index (MPI), patient matching, identity resolution, or large-scale record linkage.Experience with payer data exchange, includingCARIN Blue Button, Da Vinci implementation guides, or similar standards.Experience working with pharmacy, laboratory, or other specialized healthcare datasets.Knowledge ofICD-10, CPT, CVX, and additional clinical terminology/code systems.Experience with21st Century Cures Act, ONC certification, CMS Interoperability Rule, or related U.S. healthcare regulatory frameworks.Experience building LLM/agent-based capabilities forclinical data extraction, normalization, terminology mapping, or healthcare data quality .Experience designing reusable AI skills or agentic workflows adopted across engineering teams.Contributions to open-source healthcare, FHIR/HL7 communities, or relevant industry working groups.Responsibilities:Set thetechnical direction for healthcare data engineeringacross ingestion, transformation, validation, normalization, and delivery.Own the end-to-end architecture oflarge-scale distributed data pipelinestransforming heterogeneous source data into clean, standards-conformant FHIR.Design and evolve scalable solutions usingPython, Spark/PySpark, Databricks/Delta Lake, and modern data-processing technologies.Diagnose and eliminate complex performance and scalability bottlenecks across distributed data workloads.Establish standards and reusable frameworks fordata quality, deduplication, patient/record linking, terminology normalization, and reliable idempotent processing .Define architectural patterns for FHIR transformation, validation, schema evolution, and production delivery.Build and evolve automated testing and validation capabilities fordata quality and FHIR conformance .Establish engineering patterns and reusable tooling that allow the broader team to deliver new healthcare data capabilities faster and more consistently.ChampionPHI-safe engineering practicesand ensure healthcare data solutions meet applicable security, privacy, and compliance requirements.MakeAI-native engineering a practical part of the team's development model, using coding agents and reusable AI capabilities to automate repetitive work and accelerate complex engineering tasks.Establish engineering guardrails for AI-assisted development, ensuring AI-generated solutions remain correct, tested, secure, observable, and PHI-safe.Determine where deterministic processing provides better reliability than AI/LLM-based approaches and establish appropriate architectural patterns for both.Mentor Senior and Middle engineers through design reviews, pairing, technical guidance, and knowledge sharing.Drive complex, ambiguous engineering problems from initial investigation through architecture, implementation, and production operation.Collaborate with engineering, product, security, data, and healthcare-domain stakeholders to translate complex interoperability requirements into scalable technical solutions.Represent strong healthcare data engineering practices in relevant architecture, standards, and technical discussions.Why this position:This role offers the opportunity to set thetechnical direction for healthcare data engineering on a big platform operating at scale .As a Lead-level Individual Contributor, your impact extends well beyond individual pipelines or services. You will own some of the platform's hardest engineering problems, establish reusable frameworks and standards, and influence how an entire engineering team builds, validates, and operates healthcare data solutions.The technical scope combineslarge-scale distributed data engineering, FHIR/HL7 interoperability, healthcare terminology, data quality, cloud data platforms, and AI-native engineering .AI is a core part of the engineering model rather than an experimental add-on. You will help determine how coding agents and reusable AI capabilities can increase engineering leverage while maintaining the rigor required for production healthcare systems and PHI-sensitive data.This is ahands-on Staff IC position : you will set direction and mentor engineers, but your technical authority comes from remaining deeply involved in architecture, implementation, performance optimization, and production problem solving.#J-18808-Ljbffr

Why Join d Local?d Local is the financial infrastructure powering global commerce in the world's fastest-growing markets. The biggest companies in the world trust us to unlock growth in 60+ countries across emerging markets—moving money where others see complexity. We don't just process payments; we are architects of payment ecosystems and partners in our customers' expansion. You'll work alongside 1,300+ teammates from 40+ nationalities and tackle global challenges from day one.Why Join d Local?d Local is the financial infrastructure powering global commerce in the world's fastest-growing markets. The biggest companies in the world trust us to unlock growth in 60+ countries across emerging markets—moving money where others see complexity. We don't just process payments; we are architects of payment ecosystems and partners in our customers' expansion. You'll work alongside 1,300+ teammates from 40+ nationalities and tackle global challenges from day one.What’s the opportunity?We are looking for a Data Architect to provide the technical direction for d Local’s data and analytics architecture. This role will shape a scalable, governed, and highly consumable data ecosystem across Data & AI and engineering—connecting domain-owned data products, real-time platforms, analytical workloads, machine-learning use cases, and business-facing data consumption.You will act as a senior technical reference for architecture decisions, translating business and product needs into pragmatic designs that balance scalability, reliability, latency, security, interoperability, developer experience, and total cost of ownership.What will I be doing? Define and evolve enterprise data architectures, evaluate trade-offs, and recommend fit-for-purpose technology patterns across batch, streaming, lakehouse, warehouse, and operational use cases.Review and advise other architects on the data aspects of their RFCs, helping ensure consistency with enterprise data principles, governance standards, and architectural direction.Lead the adoption of data–mesh principles, including domain-oriented ownership, data as a product, federated computational governance, self–serve platform capabilities, discoverability, quality, and measurable data–product SLAs.Establish reference architectures and engineering standards for data products, pipelines, ingestion, storage, processing, orchestration, observability, lineage, security, and access management.Provide oversight on operational SLAs, including latency, cost, quality, freshness, reliability, and production performance.Design and govern streaming architectures using technologies such as Kafka, Kinesis, Flink, Spark Structured Streaming, and Databricks, supporting use cases from scheduled batch through sub‑second real‑time processing.Define reliable event‑processing patterns, including schema and data contracts, schema registries, event‑time processing, late‑event handling, idempotency, deduplication, replay and reprocessing, dead‑letter flows, and freshness SLAs.Shape semantic layers and enterprise ontologies that create consistent business meaning across domains, including canonical entities, metrics, dimensions, relationships, business definitions, metadata, lineage, and versioning.Establish patterns that allow semantic models to serve analytics, operational applications, machine learning, and AI use cases without creating duplicated or contradictory definitions.Guide the evolution of cloud data platforms and lakehouse capabilities, including Databricks, Unity Catalog, Delta/Iceberg tables, object storage, data warehouses, and BI consumption layers across AWS and GCP environments.Provide architectural direction for MLOps and feature‑platform capabilities, including batch and online features, model‑serving integrations, low‑latency data paths, model/data lineage, monitoring, and governance.Lead or contribute to architecture RFCs, technical decisions, design reviews, migration plans, and implementation roadmaps; make complex trade‑offsclear to both technical and non‑technical stakeholders.Partner with domain teams to clarify ownership, data‑product responsibilities, operational handover, quality accountability, access approval, and cross‑domain consumption models.Define practical controls for data quality, observability, privacy, security, resilience, cost management, and production readiness.Take ownership of critical architectural issues, facilitate resolution across teams, and ensure decisions are followed through to implementation and operation.Act as a trusted advisor and technical mentor to data engineers, platform teams, data scientists, MLOps engineers, BI teams, and engineering leaders.Communicate a cohesive architectural vision while remaining pragmatic, adaptable, and close enough to implementation to validate that designs work in production. What skills do I need? 8-10+ years of experience designing and operating scalable data architectures, preferably in complex enterprise or high‑growth environments.Strong experience designing and implementing data‑mesh architectures and operating models, including domain ownership, data products, federated governance, self‑serve platforms, contracts, quality, and discoverability.Deep experience with streaming and event‑driven architectures, including Kafka or Kinesis and one or more processing engines such as Flink or Spark Structured Streaming.Demonstrated ability to design for real‑time and near‑real‑time workloads, including latency measurement, event‑time semantics, late data, state, deduplication, idempotency, replay, and failure recovery.Strong knowledge of semantic layers, business ontologies, canonical data models, knowledge graphs or metadata models, metric definitions, and semantic governance.Expertise in data modeling, data lake and lakehouse patterns, warehouse design, data pipelines, data products, metadata, lineage, and data management technologies.Experience with cloud data platforms and services, particularly AWS and/or GCP; experience with Databricks, Unity Catalog, Delta Lake, Iceberg, or comparable technologies is valuable.Proficiency with relevant data and platform technologies such as Spark, Airflow, dbt, Kafka, Python, SQL, CI/CD, infrastructure‑as‑code, and observability tooling.Experience architecting or supporting MLOps, feature stores, online/offline data serving, or other low‑latency machine‑learning data systems.Ability to establish practical frameworks for data access, stewardship, governance, privacy, security, quality, and operational accountability.Strong understanding of reliability, scalability, performance, resilience, cost, and vendor lock‑in trade‑offs.Excellent stakeholder‑management, communication, facilitation, and influencing skills, including the ability to balance delivery expectations and technical excellence.Comfortable managing risk, ambiguity, and conflict; able to make decisions and explain the reasoning behind them.Self‑sufficient and proactive, with the judgment to know when to seek input and when to move forward. What do we offer? Flexibility in how you work: We focus on impact and productivity over fixed hours. This means our teams have flexible schedules and, depending on your role and location, you will combine self‑managed focus time with moments of in‑person connection in our collaboration hubsFintech industry: work in a dynamic and ever‑evolving environment, with plenty to build and boost your creativityReferral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewardedWork From Anywhere: Team members can work while traveling for up to 3 months every year What happens after you apply?Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process! Also, you can check out our webpage, Linkedin and Youtube for more about d Local!We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.#J-18808-Ljbffr