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Descripción del puesto: Actualmente, tenemos un puesto vacante para un/a Data Solutions Architect que quiera unirse a nuestra compañía. Buscamos una persona con sólida trayectoría en ciencia de datos, capaz de liderar equipos o diseñar estrategias analíticas y guiar la implementación de soluciones avanzadas para nuestro Center of Excellence (CoE) AI.DA. Buscamos un perfil con background técnico en Data, capaz de moverse con soltura en entornos cloud y de aportar valor tanto en fases de preventa como en la ejecución de proyectos, con una visión práctica y orientada a negocio. • Liderar use case discovery, scopingy definición de la solución, con capacidad de ajustar el nivel técnico según el interlocutor (de negocio a arquitectura)., • Guiar la evaluación técnicadurante el proceso de venta (hands‑on), actuando como asesor técnicodel equipo comercial y ayudando a tomar decisiones de arquitectura., • Construir relaciones de confianza con cuentas (idealmente enterprise/Tier‑1) y posicionarse como trusted advisoren el “Data & AI landscape”., • Navegar contextos competitivos, responder objeciones y traducir diferenciadores técnicos en valor de negocio., • Ser ‘voz del cliente’ hacia producto/partners cuando haya fricción, gaps o necesidades recurrentes en el campo., • Diseñar arquitecturas de Data Engineering / Data Warehousingy, cuando aplique, AI/ML, sobre Databricks y cloud público., • Integrar Databricks con el ecosistema del cliente (IAM/SSO, herramientas de orquestación, BI, data sources, etc.) y con aplicaciones de terceros cuando sea necesario., • Asegurar gobernanza “enterprise‑grade” con Unity Catalogcomo plano central de gobierno (políticas de acceso, assets de datos/AI, lineage)., • Plantear estrategias híbridas cuando el cliente no puede migrar todo: por ejemplo, federación de consultas para acceder a múltiples fuentes sin migración completa., • Definir el enfoque de CI/CDpara proyectos Databricks (IaC / despliegue por entornos) usando Databricks Asset Bundlescomo enfoque recomendado, y promover prácticas de ingeniería (control de versiones, code review, testing)., • Diseñar observabilidad operacional: uso de system tablescomo base de “historical observability” de la cuenta y actividad de plataforma (finops/secops/devops)., • Aportar criterios de optimización de coste(p. ej., formatos/Delta Lake, elección de compute, patrones de ejecución) para evitar sorpresas de TCO en escalado., • Alinear seguridad y gobierno con el modelo de privilegios/Unity Catalog (incl. requisitos para habilitar system tables, etc.)., • Crear activos reutilizables: reference architectures, how-tos y demo appspara escalar mejores prácticas., • Liderar workshops, sesiones técnicas, whiteboarding y formación a equipos del cliente y a equipos internos., • Mentorización y liderazgo de equipos técnicos (Solution Architects / Data Engineers) y alineación con delivery para “sell what we can deliver”. Esto aparece como expectativa en roles senior del mercado (liderar/mentorar equipos, stakeholder management, best practices de governance/CI/CD/observability)., • Experiencia profesional de 8-10 años en data / analytics / arquitectura (o equivalente)., • Experiencia profesional de 3 años con Databricks en entornos enterprise (no solo PoCs)., • Experiencia demostrable en rol customer-facing(pre-venta/consultoría/arquitectura) y colaboración estrecha con ventas., • Databricks core:Dominio real de arquitectura lakehouse, patrones de ingestion/transformation/serving y experiencia en Unity Catalog para gobierno. Además de capacidad de integrar Databricks con herramientas externas (orquestación, BI, data sources, etc.)., • Cloud :Experiencia diseñando e implementando arquitecturas en AWS/Azure/GCP (al menos una profunda)., • Lenguajes y stack:Coding fluido en Python + SQL (Scala muy valorable) y base sólida en Spark/Big Data., • Industrialización: CI/CD en Databricks con Asset Bundles y prácticas modernas de despliegue y consistencia entre entornos.Observabilidad con system tables(y/o estándares equivalentes) y enfoque de costes/FinOps., • Experiencia presentando, whiteboarding, adaptando discurso a audiencia técnica/no técnica y gestionando ciclos de venta complejos., • Certificaciones cloud (AWS/Azure/GCP) y Databricks., • Experiencia en sectores regulados (banca/seguros) y gobierno/seguridad avanzada., • Experiencia con escenarios híbridos (federación, coexistencia con otros data stores)., • Trabajo en equipo y colaboración multidisciplinaria., • Habilidades de comunicación, favoreciendo dinámicas que permitan el flujo de conocimiento, con interés tanto en aprender como en enseñar., • Buena comunicación y documentación técnica., • Orientación a resultados y proactividad. En GFT consideramos que la diversidad es uno de nuestros pilares fundamentales y promovemos un entorno de trabajo inclusivo basado en la cooperación y el respeto mutuo. Ofrecemos igualdad de oportunidades a todas las personas sin tener en cuenta su raza, origen cultural, sexo, edad, orientación sexual, identidad de género, discapacidad o creencias religiosas. GFT dispone y ha registrado un Plan de Igualdad que recoge las medidas a adoptar con el objetivo de alcanzar en la empresa la igualdad de trato y de oportunidades entre mujeres y hombres y a eliminar, si es que la hay, la discriminación por razón de sexo #J-18808-Ljbffr

Ultra Tendency is a leading data and AI consultancy helping organizations accelerate digital transformation through modern data platforms, advanced analytics, and AI-driven solutions. As a trusted partner to enterprise customers across Europe, we specialize in delivering cloud-native data architectures and scalable solutions that unlock business value. We are expanding our Databricks practice and are looking for an experienced Senior Databricks Consulting Engineer to work closely with our clients and delivery teams across EMEA. The Role As a Senior Databricks Consulting Engineer, you will serve as a trusted technical advisor and strategic partner to enterprise customers. You will guide organizations through their data and AI transformation journeys, helping them design, implement, and optimize modern data platforms built on Databricks. You will combine deep technical expertise with strong stakeholder management skills to ensure customers realize measurable value from their Databricks investments. Working alongside client teams, executives, engineers, and Ultra Tendency consultants, you will lead architecture decisions, promote best practices, and drive successful adoption of the Databricks Lakehouse Platform. This is a highly customer‑facing role requiring both hands‑on technical capability and executive-level communication skills. Key Responsibilities Customer Advisory & Architecture Act as the primary technical advisor for strategic Databricks customers. Design and review scalable data, analytics, and AI architectures leveraging the Databricks Lakehouse Platform. Lead architecture workshops, solution design sessions, and technical roadmap discussions. Translate business requirements into technical solutions and implementation plans. Advise customers on platform modernization, cloud migration, data governance, and AI initiatives. Solution Delivery & Optimization Support the successful implementation and adoption of Databricks solutions. Review data engineering, analytics, machine learning, and Gen AI workloads for scalability, performance, security, and cost optimization. Identify and resolve technical blockers during customer engagements. Drive architectural best practices for data pipelines, Lakehouse design, Unity Catalog, governance, and platform operations. Technical Leadership Serve as a subject‑matter expert on Databricks capabilities and emerging data & AI technologies. Mentor customer teams and Ultra Tendency consultants on architecture patterns and best practices. Deliver executive presentations, technical workshops, and enablement sessions. Contribute to reusable assets, reference architectures, and practice development initiatives. Business Development Support Partner with sales and account teams during strategic customer engagements. Support technical discovery, solution positioning, and proposal development. Provide architecture guidance during pre‑sales and proof‑of‑concept activities. Identify opportunities for platform expansion and increased customer value. Required Qualifications 7+ years of experience in data engineering, cloud architecture, analytics, or related fields. 3+ years working with Databricks in enterprise environments. Strong expertise in modern data platform architecture and cloud‑native solutions. Hands‑on experience designing and implementing Lakehouse architectures. Strong knowledge of:Databricks Data Intelligence Platform Apache Spark Delta Lake Unity Catalog Data Governance & Security Data Warehousing and Lakehouse Design ETL/ELT Architectures Data Modeling Experience with at least one major cloud platform:Microsoft Azure (preferred) AWS Google Cloud Platform Proficiency in:Python SQL Spark Experience engaging with executive stakeholders and technical leadership teams. Excellent communication and presentation skills in English & Spanish. Preferred Qualifications Databricks certifications such as:Databricks Certified Data Engineer Professional Databricks Certified Solutions Architect Databricks Certified Machine Learning Professional Experience with:Generative AI and LLM solutions MLflow MLOps Data Governance frameworks Data Mesh architectures Real‑time and streaming data platforms Experience in consulting or professional services environments. What Success Looks Like Customers successfully adopt and scale Databricks solutions. Complex technical challenges are resolved quickly and effectively. Executive stakeholders view you as a trusted advisor. Best practices are consistently applied across customer environments. Customer satisfaction, platform utilization, and business outcomes improve measurably. Why Join Ultra Tendency? Work with leading enterprise customers across Europe. Be part of a rapidly growing Data & AI consultancy. Access to cutting‑edge technologies in Data Engineering, Analytics, AI, and Gen AI. Opportunity to shape and expand Ultra Tendency's Databricks practice. Continuous learning and certification support. Flexible and remote‑friendly working environment. Competitive compensation package. Collaborative, entrepreneurial, and international culture. Eligibility Applicants must currently reside in Spain and possess the legal right to work in the country. Unfortunately, we are unable to provide relocation assistance or visa sponsorship for this position. #J-18808-Ljbffr

pAxazure está buscando un Arquitecto de datos con alma de pionero para liderar proyectos en Microsoft Fabric. Debes moverte entre Data Pipelines, Dataflows Gen2, notebooks Spark y Delta Lake, manejando conceptos como OneLake y Medallion para soluciones escalables y seguras. /ppSe valorará experiencia en pipelines, seguridad y gobernanza de datos, y la capacidad de trabajar en proyectos nacionales e internacionales. Ofrecemos desarrollo profesional, flexibilidad y un entorno internacional. /p #J-18808-Ljbffr

pulliPatrones de Data Lake / Data Warehouse / Lakehouse / Data Mesh. /li /ulDescripción del puesto:br/pb¿Qué estamos buscando? /b /ph3¿Qué estamos buscando? /h3pActualmente, tenemos un puesto vacante para un/abData Architect /bque quiera unirse a nuestra compañía. Buscamos una persona con sólida trayectoría en ciencia de datos, capaz de liderar equipos o diseñar estrategias analíticas y guiar la implementación de soluciones avanzadas para nuestrob Centro de Excelencia (CoE) AI.DA. /b /ppbTus principales responsabilidades serán: /b /ppAunque dependerán de tus conocimientos y experienciaaportada, en general las principales funciones que llevarías a cabo con nosotrosserían: /pulliResponsable de diseñar, implementar y evolucionar la arquitectura de datos de la organización, asegurando que los sistemas de ingesta, procesamiento, almacenamaiento y consumo de datos sean escalables, seguros y eficientes. /liliDiseñar y mantener la arquitectura de referencias de datos (en entornos batch y streaming). /liliDefinir estrategias de ingesta (CDC, API, streaming), almacenamiento (Data Lake, Data Warehouse, Lakehouse) y orquestación. /liliAsegurar la calidad, integridad y disponibilidad de los datos a lo largo de su ciclo de vida. /liliLiderar la adopción de patrones y frameworks de integración de datos (ETL/ELT, Data Mesh, Event-Driven). /liliColaborar con equipos de ingeniería, analítica y negocio para definir modelos de datos y necesidades de explotación. /liliSupervisar la seguridad, gobernanza y cumplimiento normativo (GDPR, políticas de acceso, catalogación). /liliEvaluar nuevas tecnologías y proponer mejoras de rendimiento, coste o mantenibilidad. /liliLiderazgo técnico y coaching. /li /ulh3Requisitos: /h3ulliExperiencia profesional de más de 7 años en proyectos como Data Architect. /liliDiseño de arquitecturas distribuidas y escalables. /liliProcesamiento batch y streaming. /liliIntegración de datos (CDC, APIs, colas, mensajería, ETL/ELT). /liliPatrones de Data Lake / Data Warehouse / Lakehouse / Data Mesh. /liliPrincipios de seguridad, gobierno y calidad de datos. /liliModelado de datos relacional y dimensional. /liliFamiliaridad con metodologías ágiles (Scrum/Kanban). /liliValorable nivel de inglés alto (B2/C1) para colaborar en proyectos internacionales. /li /ulpbTecnologías principales con las que trabajamos: /b /pulliCloud Platforms: Azure (Data Factory, Synapse, Databricks, Event Hub), AWS (Glue, Redshift, S3, Kinesis), GCP (BigQuery, Dataflow, Pub/Sub). /liliProcesamiento de datos: Spark, Databricks, Flink, Beam, Airflow. /liliBases de datos y almacenamiento: SQL Server, PostgreSQL, Snowflake, Delta Lake, Parquet, BigQuery. /liliIngesta y streaming: Kafka, Debezium, NiFi, AirByte, Event Hub, Pub/Sub. /liliGobernanza y catálogo: Unity Catalog, Collibra, Anjana, OpenMetadata, Purview. /liliContenedores y orquestación: Docker, Kubernetes. /liliLenguajes: Python, Scala, Java, SQL. /li /ulh3Competencias personales: /h3ulliTrabajo en equipo y colaboración multidisciplinaria. /liliHabilidades de comunicación, favoreciendo dinámicas que permitan el flujo de conocimiento, con interés tanto en aprender como en enseñar. /liliBuena comunicación y documentación técnica. /liliOrientación a resultados y proactividad. /li /ulbr/br/pOfrecemos: /ppEn GFT consideramos que la diversidad es uno de nuestros pilares fundamentales y promovemos un entorno de trabajo inclusivo basado en la cooperación y el respeto mutuo. Ofrecemos igualdad de oportunidades a todas las personas sin tener en cuenta su raza, origen cultural, sexo, edad, orientación sexual, identidad de género, discapacidad o creencias religiosas. GFT dispone y ha registrado un Plan de Igualdad que recoge las medidas a adoptar con el objetivo de alcanzar en la empresa la igualdad de trato y de oportunidades entre mujeres y hombres y a eliminar, si es que la hay, la discriminación por razón de sexo /ppb¡Únete a nuestro equipo global! /b /p /p #J-18808-Ljbffr

ph3Senior Quantitative Treasury/ALM Risk Modelling Analytics – Treasury /h3 pEbury is a dynamic fintech company and a leader in forex derivatives for hedging, offering sophisticated solutions to clients worldwide. /p pEbury Madrid Office – Hybrid: 4 days in the office, 1 day working from home per week. /p h3What you’ll do /h3 ul liAssist in the development and implementation of advanced quantitative risk models, including liquidity risk simulations, VaR99 calculations, and portfolio correlation analysis. /li liContribute to the simulation of balance sheet evolution and the development of multi‑entity, multi‑currency hedging strategies. /li liSupport the mapping of interest rate risk through DV01 analysis and the automation of hedging strategies. /li liParticipate in IFRS valuation and delta attribution projects, linking market impacts to revenue drivers. /li liContribute to the refactoring and optimisation of our code using Python and SQL. /li liAssist in the analysis of pricing and revenue optimisation strategies. /li liDocument and present quantitative findings to the team. /li liBrainstorm and contribute ideas to innovate current processes. /li /ul h3What you’ll need /h3 ul li+5 years of experience in quantitative analysis or programming. /li liProficiency in Python (NumPy, Pandas) and SQL. /li liExperience in quantitative finance or data analysis would be a plus. /li liA strong passion for quantitative financial mathematics and quantitative analysis. /li liCreative and innovative thinking, with a desire to challenge existing methodologies. /li liAnalytical and problem‑solving skills. /li liCommunication, documentation and presentation skills with the ability to explain complex concepts clearly and concisely. /li liCuriosity and a drive to learn complex financial concepts. /li liAbility to work effectively in a collaborative team environment. /li liConfident communication in English, both written and spoken. /li liOpen to candidates from diverse academic backgrounds, provided they demonstrate a strong interest and aptitude for quantitative finance and risk modelling. /li /ul h3Why Ebury? /h3 ul libCompetitive Starting Salary /b with an bannual discretionary bonus /b that truly rewards your performance from day one. /li libDedicated Mentorship: /b Learn directly from experienced managers who are invested in your success. /li libCutting‑Edge Technology: /b Leverage state‑of‑the‑art tailor‑made tools and systems that enable you to perform at your best. /li libClear, Accelerated Career Progression: /b Defined pathways to leadership and specialist roles within Ebury. /li libDynamic Supportive Culture: /b Work in a collaborative environment where teamwork and personal growth are prioritised. /li libGenerous Benefits Package: /b Access competitive benefits tailored to your location, which typically include health care and social benefits. /li libCentral Madrid Office: /b A fantastic location with excellent transport links. /li /ul pWe believe in inclusion. We stand against discrimination in all forms and are committed to fostering a modern and successful organisation where everyone can thrive regardless of their background. /p /p #J-18808-Ljbffr

Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-drivenorganizationand our culture of Relentless Performance has enabled over 99% ofMiratech'sengagements to succeed by meeting or exceeding our scope, schedule, and/or budgetobjectivessince ourinceptionin 1989. Usted podría ser el solicitante perfecto para este trabajo. Lea toda la información asociada y asegúrese de presentar su candidatura. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are looking for aMiddle Data Engineer specialized in Azure Databricksto join our data platform team. The candidate will design and develop modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark, and Azure Data Factory, while integrating with existing SQL Server-based data warehouse environments, also evolving our data platform towards scalable, cloud-based data architectures, enabling advanced analytics and business intelligence. Key responsibilities: • Design, develop, and maintain data pipelines using Azure Databricks, • Build and optimize data transformations using PySpark and SQL in Databricks, • Implement and maintain Lakehouse architectures using Delta Lake, • Develop ETL/ELT pipelines orchestrated through Azure Data Factory, • Integrate data from multiple sources into the data platform and analytical layers, • Design and maintain data models and data warehouse structures for analytics, • Ensure data quality, scalability, and performance of large-scale data processing pipelines, • Collaborate with BI teams to support Power BI and reporting platforms, • Support and evolve existing SQL Server data platforms and ETL solutions (SSIS) when required, • Contribute to the design of modern cloud-based data architectures Qualifications • 3+ years of experiencein Data Engineering or Data Warehouse development, • Experience withAzure Databricks, • Experience developingdata pipelines using PySpark and Spark SQL, • Solid understanding of distributed data processing and big data concepts, • Experience working withDelta Lake and Lakehouse architectures, • Strong SQL skills and experience withSQL Serverrelational databases, • Experience handling large datasets and performance optimization Nice to have • Experience with Spark optimization techniques(partitioning, caching, cluster tuning), • Experience with structured streaming in Databricks, • Knowledge of CI/CD pipelines for data platforms (Azure Devops), • Familiarity with Power BI, • Experience in migrating from traditional ETL process to cloud architectures Soft Skills • Strong analytical and problem-solving skills., • Ability to work in collaborative environments and to adapt, • Committed to continuous learning and professional development, with a keen focus on advancing cloud computing expertise, • Team player, • Good communication skills with technical and non-technical roles, • Is proactive rather than reactive, actively identifying improvements and proposing solutions, • Is comfortable working in dynamic environments where priorities and technologies evolve Additional Information We offer: • Culture of Relentless Performance:join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth., • Competitive Pay and Benefits:enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program., • Work From Anywhere Culture:make the most of the flexibility that comes with remote work., • Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities., • Global Impact:collaborate on impactful projects for top global clients and shape the future of industries., • Welcoming Multicultural Environment:be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. xcskxlj, • Social Sustainability Values:join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. *Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. #J-18808-Ljbffr

Overview We are looking for Generative AI Specialists (junior, intermediate, and middle-senior profiles) to join BIP’s xTech Competence Centre, one of the largest Data Science communities in Europe. You will work on advanced AI projects for leading enterprise clients across multiple industries, developing Generative AI solutions for real business use cases. You will be involved in initiatives leveraging pre-trained models (such as LLMs) as well as training and fine-tuning new models, especially in contexts with unstructured data (text, images, video, and audio). In addition, you will actively contribute to the internal AI Community through research, technology scouting, solution design, and business development initiatives. No deje pasar esta oportunidad, inscríbase rápidamente si su experiencia y habilidades coinciden con lo que se indica en la siguiente descripción. Mandatory Requirements • Master’s Degree in Computer Engineering, Mathematical Engineering, Computer Science, Statistics, or related STEM disciplines;, • Strong quantitative mindset and analytical skills;, • Passion and expertise in data exploration, data analysis, and model development;, • Strong knowledge of Statistics, Data Mining, Machine Learning, and Deep Learning;, • Solid programming experience in Python;, • Experience with version control systems (e.g., Git);, • Strong knowledge of relational databases and SQL programming;, • Knowledge of NoSQL databases (e.g., Elasticsearch, MongoDB, Redis);, • Experience with vector databases (e.g., ChromaDB, Qdrant, Pinecone);, • Experience using AI Cloud APIs from at least one major provider (Google Cloud, Microsoft Azure, AWS);, • Experience processing unstructured data;, • Strong knowledge of NLP and Computer Vision techniques (Text Categorization, Entity Extraction, Generation, Object Detection, Segmentation);, • Experience with Neural Networks, CNNs, and Transformers;, • Knowledge of Generative AI techniques and Large Language Models (LLMs);, • Experience in neural network training and fine-tuning techniques (e.g., Super-Convergence, PEFT, LoRA);, • Experience with major deep learning libraries (TensorFlow, PyTorch) and model repositories (Hugging Face);, • Knowledge of prompting techniques (one-shot, few-shot, chain-of-thought);, • Fluent professional proficiency in Spanish and English (mandatory). Nice to Have • Experience with containerization tools (Docker, Kubernetes);, • Experience developing and applying Generative AI models in industrial environments;, • Software development experience and strong knowledge of SDLC;, • Experience with data/model versioning frameworks (MLflow, DVC);, • Experience with generative networks for controlled content production (text, images, video);, • Experience building Search Engines, Entity Extraction systems, or Image Anomaly Detection solutions;, • Knowledge of Explainable AI models (SHAP, LIME, Anchors);, • Experience working in Agile frameworks (Scrum, Kanban);, • Knowledge of Data Engineering concepts (ETL/ELT pipelines, data modeling, distributed processing);, • Experience with big data frameworks such as Apache Spark;, • Hands-on experience with Databricks (workspace management, notebooks, Delta Lake, MLflow integration);, • Experience designing scalable data architectures in cloud environments. Soft Skills • Strong consulting mindset;, • Excellent communication and interpersonal skills;, • Client-oriented and results-driven;, • Teamwork attitude;, • Attention to detail and ability to work under deadlines. Why BIP? Growth & Learning: Access to 300+ courses on emerging technologies and business topics, personalized development programs, and continuous training initiatives to support your professional and personal growth. Flexibility & Work-Life Integration: Hybrid working model with flexibility to balance remote and office work in agreement with your manager and project needs, plus initiatives supporting work-life balance. Health & Benefits: Private health insurance, wellness platforms, meal vouchers, and an attractive benefits package. Family & Parenthood: Support for new parents, including enhanced parental leave benefits and dedicated initiatives during and after parental leave. Inclusion & Values: We promote uniqueness and equal opportunities for everyone. We are committed to creating an ethical, inclusive, and welcoming work environment. Next Steps Once we receive your CV, we will carefully review your profile. If there is a match with this or other open positions within the Group, we will contact you to start our mutual introduction process. The selection process generally includes an HR interview, a technical interview with a Line Manager, and potentially a final interview with a Partner. The number and order of interviews may vary. About Us Founded in 2003, BIP combines the historical excellence of management consulting with innovation and digitalization. Today we are more than 5,000 professionals across 13 countries, delivering over 4,500 projects worldwide. We support our clients in driving large-scale impact through Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IoT, and disruptive technologies across all industries. We believe in excellence as our guiding principle and adopt an ethical and fair approach toward everyone who chooses to work with us, fostering an environment where people grow together through diverse expertise. Bip Iberia, en compromiso y coherencia con la Ley Integral para la Igualdad de Trato y la No discriminación tiene abiertas todas las posiciones de búsqueda de perfiles a todas aquellas personas que estén debidamente cualificadas para cubrir la vacante, independientemente de su edad, discapacidad, género, orientación sexual o política, raza o creencia. BUSINESS INTEGRATION PARTNERS CONSULTING IBERIA, S.L., con NIF B84701903 y contacto tratará los datos recibidos al aplicar su candidatura en la oferta como Responsable del tratamiento, con la finalidad de gestionar el proceso de selección actualmente activo en base a la aplicación de medidas precontractuales del artículo 6.1. b) del GDPR, así como para futuros procesos de selección si su perfil fuera de interés, en base al consentimiento del artículo 6.1 a). BUSINESS INTEGRATION PARTNERS CONSULTING IBERIA, S.L. no comunicará sus datos a terceros salvo obligación legal. xqbhyrx Así mismo, el periodo de conservación de su CV como máximo 1 año, en el que será destruido. Igualmente puede ejercer sus derechos de acceso, rectificación, supresión, oposición, limitación al tratamiento, portabilidad, y a no ser objeto de decisiones individualizadas automatizadas o consultar información adicional sobre el tratamiento en el correo : . #J-18808-Ljbffr

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer‑centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user‑friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. Desplácese hacia abajo para ver todos los requisitos del puesto y las responsabilidades que pueden esperar los candidatos seleccionados. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data & Intelligence Platform can help customers solve their complex data challenges. You’ll work with a collaborative, customer‑focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. The impact you will have: • Form successful relationships with clients throughout Spain, providing technical and business value to Databricks customers in collaboration with Account Executives., • Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform., • Scale best practices in your field and support customers by authoring reference architectures, how‑tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet‑ups., • Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: • Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions., • Develop customer relationships and build internal partnerships with account executives and teams., • Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark., • Proficient with Big Data Analytics technologies, including hands‑on expertise with complex proofs‑of‑concept and public cloud platform(s)., • Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth. Mandatory requirements: • The location for the role should be in the Madrid region (i.e. within a commutable distance for a hybrid schedule)., • Flexibility to travel (up to 30% as required for customer meetings, events and trainings)., • Business proficiency in both Spanish and English required. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. Benefits We strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. xqbhyrx Compliance If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

Empresa confidencial busca un/a Technical Manager con foco en Data Architecture & AI para liderar equipos multidisciplinares y definir arquitecturas de referencia en entornos Databricks. Desplácese hacia abajo para obtener una visión general completa de lo que requerirá este trabajo. ¿Es usted el candidato adecuado para esta oportunidad? Coordinar proyectos estratégicos y colaborar con clientes para impulsar soluciones innovadoras basadas en data lakehouse. xcskxlj El/la candidato/a ideal aporta al menos 7 años en datos y 4 años liderando equipos, domina Databricks, Delta Lake y MLflow, y tiene experiencia en IA Generativa y MLops. #J-18808-Ljbffr

Country: Spain Descubra exactamente qué habilidades, experiencia y cualificaciones necesitará para tener éxito en este puesto antes de enviar su solicitud a continuación. Open 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 MAKE As 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 PySpark 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 Bring Professional 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 PySpark, 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 DevOps 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. xqbhyrx 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

We’re looking for a Database Systems Engineer who thrives at the frontier of distributed databases, storage engines, transactional systems, and analytical query execution. Se pueden requerir diversas habilidades interpersonales y experiencia para el siguiente puesto. Por favor, asegúrese de consultar la descripción a continuación con atención. Database Systems Engineer — Distributed Storage & Transactional Query Engines Role Summary FastS3 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 Doing • Design 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 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, 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 Out • Experience 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. xcskxlj FastS3 is proud to be an inclusive, equal opportunity employer committed to diversity, equity, and accessibility for all. #J-18808-Ljbffr Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

Launchmetrics is seeking a Data Platform Engineer to join the Data Enrichment teams. Siga leyendo para comprender completamente lo que este trabajo requiere en cuanto a habilidades y experiencia. Si su perfil encaja, presente su candidatura. You’ll own the Lakehouse powering Discover, Genie, and Delta Sharing, building batch and near-real-time data pipelines with PySpark and Databricks. You'll design Delta Lake schemas, manage partitioning and clustering, and collaborate with product, QA, and other data engineers to deliver reliable, scalable data solutions. xqbhyrx Fluency in English and a proactive, collaborative mindset are essential in our #J-18808-Ljbffr Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

Experteer Overview Todas las habilidades, cualificaciones y experiencia relevantes que necesitará un candidato seleccionado se enumeran en la siguiente descripción. In this Senior role, you will develop and implement advanced quantitative risk models to support liquidity, market and interest-rate risk management. You’ll work within the Quantitative Treasury/ALM team to shape hedging strategies and balance sheet evolution across multiple entities and currencies. You’ll translate complex analytics into actionable insights for revenue and risk stakeholders, using modern tech to optimize processes. Join a dynamic fintech that blends startup agility with established resources to accelerate global growth. Compensaciones / Beneficios • Develop and implement advanced quantitative risk models (liquidity risk simulations, VaR99, portfolio correlation), • Simulate balance sheet evolution and design multi-entity, multi-currency hedging strategies, • Map interest rate risk via DV01 analysis and automate hedging approaches, • Contribute to IFRS valuation and delta attribution linking market moves to revenue, • Refactor and optimize code in Python and SQL, • Analyze pricing and revenue optimization strategies, • Document and present quantitative findings to the team, • Brainstorm ideas to innovate existing processes Responsabilidades • +5 years in quantitative analysis or programming, • Proficiency in Python (NumPy, Pandas) and SQL, • Experience in quantitative finance or data analysis is a plus, • Strong passion for quantitative financial mathematics, • Analytical and problem-solving skills, • Strong communication, documentation and presentation abilities, • Curiosity xqbhyrx and willingness to learn complex financial concepts, • Ability to collaborate effectively in a team, • Fluent English (written and spoken), • Open to diverse academic backgrounds with interest in quantitative finance and risk modelling Requisitos principales • competitive starting salary with discretionary bonus, • mentorship from experienced managers, • state-of-the-art tools and systems, • clear accelerated career progression, • dynamic and supportive culture, • generous benefits package

Location: Madrid, Spain No espere a enviar su solicitud después de leer esta descripción; se espera un gran volumen de candidaturas para esta oportunidad. Enter our world. Transform with us. What will be your challenge? Within our Competence Centre “xTech”, BIP has built one of the largest communities of Data Scientists, Data Engineers and AI specialists in Europe. From our international hubs, including Spain, we coordinate multidisciplinary teams delivering advanced data and AI solutions to leading enterprise clients across industries. As part of the continuous growth of this dynamic team, we are looking for professionals with strong hands‑on experience in Generative AI, data engineering and scalable AI architectures, with Databricks as one of the core technologies of the stack. As an AI Engineer – Generative AI & Databricks at BIP, you will design and implement end‑to‑end AI solutions combining robust data pipelines, scalable lakehouse architectures and state‑of‑the‑art language models. You will work mainly with Python, PySpark, Databricks, Postgres and open‑source LLMs such as Qwen, helping clients transform complex business needs into production‑ready AI systems. You will work in project environments where data may come from structured and unstructured sources, including databases, documents, text, images, video, audio and enterprise applications. Your role will be to process, enrich, model and activate this data through advanced analytics, retrieval‑augmented generation, language model integration and AI‑powered automation. Projects may range from building data pipelines and analytical foundations in Databricks, to implementing RAG architectures, adapting LLMs to specific business contexts, creating AI agents, deploying AI‑enabled applications and integrating AI capabilities into business workflows and enterprise systems. In addition to project delivery, you will actively contribute to our internal AI Community through technology scouting, reusable assets, solution design, best practices, accelerators and business development initiatives. Mandatory Requirements • Master’s Degree in Computer Engineering, Mathematical Engineering, Computer Science, Statistics, Data Science, Artificial Intelligence, Telecommunications Engineering or related STEM disciplines;, • Strong quantitative mindset, analytical skills and problem‑solving capabilities;, • Solid programming experience in Python;, • Strong hands‑on experience with PySpark for distributed data processing;, • Practical experience working with Databricks, including notebooks, jobs, clusters, Delta Lake and data pipeline development;, • Experience designing and implementing ETL/ELT pipelines in lakehouse or cloud data environments;, • Strong knowledge of SQL and relational databases;, • Hands‑on experience with Postgres, including data modeling, query design and integration with analytical or AI workloads;, • Experience processing structured and unstructured data, including text, documents, images or other enterprise data sources;, • Knowledge of Generative AI techniques and Large Language Models;, • Hands‑on experience using open‑source LLMs, preferably Qwen or similar model families;, • Experience building solutions based on Retrieval‑Augmented Generation, embeddings, vector search and semantic search;, • Knowledge of prompt engineering techniques and LLM orchestration patterns;, • Experience integrating AI models into applications, APIs, data workflows or business processes;, • Experience with version control systems such as Git;, • Strong understanding of model evaluation, data quality, monitoring and responsible AI principles;, • Fluent professional proficiency in Spanish and English. Nice to Have • Experience with Qwen or other open‑source LLMs for enterprise AI use cases;, • Experience working with multimodal AI models for document, image, video or audio understanding;, • Experience fine‑tuning or adapting LLMs using techniques such as LoRA, QLoRA, PEFT or instruction tuning;, • Experience with Hugging Face libraries, model repositories and open‑source AI ecosystems;, • Experience with MLflow, particularly within Databricks, for experiment tracking, model registry and deployment lifecycle management;, • Experience with vector databases or vector search technologies such as Databricks Vector Search, pgvector, ChromaDB, Qdrant, Pinecone or Elasticsearch;, • Experience using Postgres extensions for AI or analytics workloads, especially pgvector;, • Experience developing data products, APIs or backend services using frameworks such as FastAPI;, • Experience with cloud platforms such as Azure, AWS or Google Cloud;, • Experience with Azure OpenAI, Azure AI Foundry, AWS Bedrock, Google Vertex AI or similar managed AI services;, • Experience with containerization and deployment tools such as Docker and Kubernetes;, • Experience with orchestration tools such as Airflow, Databricks Workflows, Azure Data Factory or similar;, • Knowledge of software development lifecycle, CI/CD and production‑grade engineering practices;, • Experience working in Agile frameworks such as Scrum or Kanban;, • Experience building AI agents, tool‑using LLM applications or workflow automation solutions;, • Experience with data governance, security, access control and privacy requirements in enterprise environments;, • Experience designing scalable data and AI architectures in cloud environments. Soft Skills • Strong consulting mindset;, • Ability to understand business problems and translate them into data and AI solutions;, • Excellent communication and interpersonal skills;, • Client‑oriented and results‑driven;, • Teamwork attitude and ability to collaborate with multidisciplinary teams;, • Curiosity and willingness to continuously explore new AI technologies;, • Attention to detail and ability to work under deadlines;, • Ability to explain complex technical concepts to both technical and non‑technical stakeholders. Why BIP? • Growth & Learning, • Access to 300+ courses on emerging technologies and business topics, personalized development programs, and continuous training initiatives to support your professional and personal growth., • Flexibility & Work-Life Integration, • Hybrid working model with flexibility to balance remote and office work in agreement with your manager and project needs, plus initiatives supporting work‑life balance., • Health & Benefits, • Private health insurance, wellness platforms, meal vouchers, and an attractive benefits package., • Family & Parenthood, • Support for new parents, including enhanced parental leave benefits and dedicated initiatives during and after parental leave., • Inclusion & Values, • We promote uniqueness and equal opportunities for everyone. We are committed to creating an ethical, inclusive and welcoming work environment. About Us Founded in 2003, BIP combines the historical excellence of management consulting with innovation and digitalization. Today we are more than 5,000 professionals across 13 countries, delivering over 4,500 projects worldwide. We support our clients in driving large‑scale impact through Digital Transformation, Data Science, Artificial Intelligence, Cybersecurity, Industry 4.0, IoT and disruptive technologies across all industries. We believe in excellence as our guiding principle and adopt an ethical and fair approach toward everyone who chooses to work with us, fostering an environment where people grow together through diverse expertise. Bip Iberia, en compromiso y coherencia con la Ley Integral para la Igualdad de Trato y la No discriminación tiene abiertas todas las posiciones de búsqueda de perfiles a todas aquellas personas que estén debidamente cualificadas para cubrir la vacante, independientemente de su edad, discapacidad, género, orientación sexual o política, raza o creencia. BUSINESS INTEGRATION PARTNERS CONSULTING IBERIA, S.L., con NIF B84701903 y contacto tratará los datos recibidos al aplicar su candidatura en la oferta como Responsable del tratamiento, con la finalidad de gestionar el proceso de selección actualmente activo en base a la aplicación de medidas precontractuales del artículo 6.1. b) del GDPR, así como para futuros procesos de selección si su perfil fuera de interés, en base al consentimiento del artículo 6.1 a). BUSINESS INTEGRATION PARTNERS CONSULTING IBERIA, S.L. no comunicará sus datos a terceros salvo obligación legal. xqbhyrx Así mismo, el periodo de conservación de su CV como máximo 1 año, en el que será destruido. Igualmente puede ejercer sus derechos de acceso, rectificación, supresión, oposición, limitación al tratamiento, portabilidad, y a no ser objeto de decisiones individualizadas automatizadas o consultar información adicional sobre el tratamiento en el correo : . #J-18808-Ljbffr

Senior Quantitative Treasury/ALM Risk Modelling & Analytics – TreasuryEbury is a dynamic fintech company and a leader in forex derivatives for hedging, offering sophisticated solutions to clients worldwide.Ebury Madrid Office – Hybrid: 4 days in the office, 1 day working from home per week.What you’ll do- Assist in the development and implementation of advanced quantitative risk models, including liquidity risk simulations, VaR99 calculations, and portfolio correlation analysis.- Contribute to the simulation of balance sheet evolution and the development of multi‑entity, multi‑currency hedging strategies.- Support the mapping of interest rate risk through DV01 analysis and the automation of hedging strategies.- Participate in IFRS valuation and delta attribution projects, linking market impacts to revenue drivers.- Contribute to the refactoring and optimisation of our code using Python and SQL.- Assist in the analysis of pricing and revenue optimisation strategies.- Document and present quantitative findings to the team.- Brainstorm and contribute ideas to innovate current processes.What you’ll need- +5 years of experience in quantitative analysis or programming.- Proficiency in Python (NumPy, Pandas) and SQL.- Experience in quantitative finance or data analysis would be a plus.- A strong passion for quantitative financial mathematics and quantitative analysis.- Creative and innovative thinking, with a desire to challenge existing methodologies.- Analytical and problem‑solving skills.- Communication, documentation and presentation skills with the ability to explain complex concepts clearly and concisely.- Curiosity and a drive to learn complex financial concepts.- Ability to work effectively in a collaborative team environment.- Confident communication in English, both written and spoken.- Open to candidates from diverse academic backgrounds, provided they demonstrate a strong interest and aptitude for quantitative finance and risk modelling.Why Ebury?- Competitive Starting Salary with an annual discretionary bonus that truly rewards your performance from day one.- Dedicated Mentorship: Learn directly from experienced managers who are invested in your success.- Cutting‑Edge Technology: Leverage state‑of‑the‑art tailor‑made tools and systems that enable you to perform at your best.- Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury.- Dynamic & Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritised.- Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits.- Central Madrid Office: A fantastic location with excellent transport links.We believe in inclusion. We stand against discrimination in all forms and are committed to fostering a modern and successful organisation where everyone can thrive regardless of their background.#J-18808-Ljbffr

ppAre you an expert on One Identity in Madrid and seeking a new interesting challenge? /p pIf your answer is yes, it’s your lucky day so keep reading, it can be just what you're looking for! /p p? /p pWe are looking for a dynamic, proactive and talented person to join our team and perform the following task /p ul liShould have integrated atleast any one of the listed target system with Quest one Identity Manager (Active Directory, Microsoft Exchange/Office 365, Relational Databases, WebServices, Mainframes, LDAP, Lotus Notes, SAP/PeopleSoft, IDaaS Applications) for provisioning and synchronization/reconciliation (Full or Delta) /li liSupport custom connector and integration development using UNS tables /li liContribute to WebUI components and customization activities /li liShould have good knowledge (2+ years) of MS SQL database (Tables, Views, Stored procedures. Should be able to compile/ run medium to high complexity SQL querie /li lis.Should have good knowledge of VB.Net (2+ years) /li liQuest Quick Connect.Target system integrations such as Active Direct ory, Microsoft Exchange/Office 36 5, Relational Databa ses, WebServi ces a nd L DAP. /li liAdditional target systems such as Mainframes, Lotus Notes, SAP/PeopleSoft and IDaaS Applications. MS SQL VB. WebUI components and customization. /li /ul pYears' experience: 6-10 Years /p h3MUST HAVE /h3 ul liQuick learner coupled with attitude and passion to learn new development and IAM technologies.Very good analytical and communication skills. /li liGood troubleshooting skills. /li liGood high-level understanding of network components. /li liGood understanding of SDLC models (Waterfall and Agile). /li liGood understanding of Change Management processes. /li liGood understanding of Windows server-level commands. /li /ul pWorkplace: Remote — 40% and rest in -office /p pWork Schedule: Regular working hours 09:00-18:00 /p h3WHAT CAN WE OFFER YOU? /h3 ul liPermanent contract - We offer indefinite contracts from the first day. /li liPay and benefits - Competitive salary and a flexible compensation plan adapted to your needs (Ticket restaurant plan, Childcare Ticket, Transport Ticket and Health Insurance). /li liWork from home - We offer you a financial support every month for your working from home expenses. In addition, in the first month we will give you a bonus to help you to set up your workplace /li liOpportunity knocks - Being a part of a growing company, we want to support your path with a career development plan and annual performance-based compensation reviews. /li liLearn as you grow - Starting with a fantastic onboarding program, TCS has robust learning platforms that will allow you to learn and grow personal as professionally. /li liBring your buddy - If you have referred a friend for an open position under the BYB Scheme and she/he is hired you’ll receive a very attractive cash award. /li liConnect globally - Work with people from all over the world. You can feel the multicultural workforce. /li liBenefit from being a TCSer – By being part of the TCS Spain family you can enjoy benefits, offers and corporate discounts on the best brands. /li liAnd so on - Appreciations, incentives, Team Building activities, diversity and inclusion programs, sustainability activities, corporative events... This has only just begun! /li /ul pTata Consultancy Services (TCS) is an Information Technology (IT) company founded in 1968 as part of the Indian Tata Group and is one of the top 3 technology companies globally /p pWith a presence in 55 countries and more than 600,000 employees, TCS is considered one of the 10 best companies to work for worldwide in 2025 according to the Top Employers Institute /p pTCS Spain started operations in 2001 and currently has a diverse workforce that collaborates with the main Spanish and multinational companies /p pTCS Spain has been certified as a Top Employer 2025 and has also been chosen as one of the 100 Best Companies to Work for in Spain 2025 according to Forbes /p pAmong the portfolio of services, TCS has information technology services, asset-based solutions, global consulting, engineering and industrial services, digital solutions and services, application maintenance and development, quality assurance and testing services, IT infrastructure and BPS /p pResponsible for development, TCS Spain is committed to inclusion, diversity and sustainability, and promotes flexibility policies that support wellbeing and work-life balance /p /p #J-18808-Ljbffr

Experteer Overview In this role you design, build and optimize scalable data solutions that power analytics, ML, reporting, and critical decision-making. You will work with large data environments to create robust pipelines and distributed processing using Spark-based technologies. You’ll operate in cloud environments to process, transform and expose data for Analytics, Data Science, and business teams. This position offers a chance to shape data platforms and contribute to a leading digital banking ecosystem. Compensaciones / Beneficios • Design, develop and optimize large-scale data pipelines using Apache Spark (Scala/Spark). • Build batch and near-real-time data processing for high-volume environments. • Create reliable datasets consumed by analytics, data science, ML, and business teams. • Work with cloud data platforms (ideally AWS) to process, transform and store data. • Implement data quality, validation, monitoring and documentation across pipelines. • Collaborate with Data Engineering, Data Science, ML, Architecture and business teams to deliver practical data solutions. • Contribute to engineering best practices around code quality, testing, CI/CD and automation. Responsabilidades • 5+ years in Data Engineering or similar roles. • Experience building production-grade data pipelines in large-scale environments. • Hands-on Spark experience in real projects, preferably Scala. • Experience with cloud data platforms. • Experience in banking, fintech or regulated environments (preferred). • Fluent Spanish; professional English. • Strong Python or Scala coding skills for data engineering tasks. • Solid SQL knowledge and experience with relational/analytic databases. • Experience designing and optimizing ETL/ELT processes. • Experience with AWS or equivalent cloud ecosystems (S3, Glue, Athena, EMR, Redshift, IAM, Lake Formation). • Experience with Git and collaborative software development practices. • Understanding of data quality, validation, monitoring and performance optimization. • Experience with CI/CD or DevOps tools (Jenkins, Sonar, Nexus, Jira, Splunk). • Scala experience (preferred). • Experience with Apache Flink, Spark Streaming or near-real-time applications (preferred). • Experience with Iceberg, Delta Lake or modern lakehouse formats (preferred). • Experience with Airflow or workflow orchestration tools (preferred). Requisitos principales •

Information and Documentation Management SpecialistApplylocations: Getafe Areatime type: Full timeposted on: Posted Todayjob requisition id: JR10422654 Si le interesa solicitar este empleo, por favor, asegúrese de cumplir los siguientes requisitos que se enumeran a continuación. Job Description: An opportunity for an **Information and Documentation Management Specialist has arisen within Airbus Defence and Space, Getafe (Madrid). **RESPONSIBILITIES Outsourcing * Generate the DDDs and send them to subcontracting to activate the order request process for said WUs. Previously, the IOS will prepare all the necessary information to place orders, negotiate with suppliers, identify and register the WUs. • Take charge of monitoring and recording the entire order placement process between the different organizations until the release of the purchase order. Registering internally properly and in a previously established format, all the identifiers of each of the steps until the release of the purchase order. • Receive the delivery notes and DANs from the subcontractor companies and review their validity with the information provided by the IOS at the beginning of the process and its feedback regarding the achievement of the objectives of said delivery note., • Prepare the information for the approval process to be carried out by the IOS in C&B, • It would have delegated the actions to be carried out in GESUB for the registration and removal of subcontracted personnel and the management of subcontracting services during the year, as well as renewing them at the end of the year., • It will be in charge of the creation and follow-up of the MAXIMO for the assignment of the subcontracted sites. **Laboratory equipment monitoring * Due to the high volume of laboratory equipment within the Domain, rigorous tracking of supplier shipments and receipts across all development iterations is critical to meet our engineering schedule **Other administrative tasks * It will be in charge of approving the requests for access to shared folders • It will be in charge of unsubscribing from shared folders the people who unsubscribe from the domain, • It will be in charge of the follow up activities of the domain budget consumption and delta budget needs., • It will also have delegated the management of the tickets of the infrastructure management tools, such as MyITSM or ARSI (SW tools) of the IT groups. --> ¿sigue siendo aplicable? **SKILLS **Is your profile aligned to the following list of skills? Apply! We are looking forward to know you: • Excellent verbal and written communications skills: negotiation English, Spanish;, • Advance usage of Collaboration Tools, i.e Google Suite and Shared Folder structures, • Logistic and purchase order management in SAP, • Reliability and ability to pay attention to detail **WHICH BENEFITS WILL YOU HAVE AS AIRBUS EMPLOYEE? **At Airbus we are focused on our employees and their welfare. Take a look at some of our social benefits: • Vacation days plus additional days-off along the year., • Attractive salary., • Hybrid model of working when possible., • Collective transport service subject to working calendar/home location., • Benefits such as life insurance, health insurance, employee stock options, retirement plan, or study grants., • On-site facilities (among others): free canteen, kindergarten, medical office., • Possibility to collaborate in different social and corporate social responsibility initiatives., • Excellent upskilling opportunities and great development prospects in a multicultural environment., • Option to access special rates in products & benefits.#MYCYMThis job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. Company: Airbus Defence and Space SAU **Employment Type: **Permanent------- **Experience Level: **Professional **Job Family: **Administration / Documentation By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. xcskxlj Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to #J-18808-Ljbffr

ppBe among the first 25 applicants /p pGet AI-powered advice on this job and more exclusive features. /p pWe are looking for a seasoned bSenior Data Platform Engineer /b to join EPAM, a company at the forefront of shaping digital solutions for Fortune 1000 businesses. /p pAs a critical part of our team, the ideal candidate will bring deep expertise in Databricks and experience across multi-cloud environments. This role will focus on building, optimizing, and maintaining innovative, high-performance data platforms that enable powerful data insights and drive meaningful business transformations. /p h3Responsibilities /h3 ul liArchitect and deploy robust data platforms using Databricks, focusing on optimal performance and security /li liCreate solutions that are cloud-agnostic across AWS, Azure, and GCP to ensure system flexibility and resilience /li liDesign and implement comprehensive data pipelines involving data lakes, warehouses, and streaming technologies /li liUtilize Databricks SQL, Delta Lake, MLflow, and Spark for data interaction and performance enhancements /li liCollaborate with various teams to implement and maintain workflows based on Databricks best practices /li liDevelop CI/CD pipelines tailored for data platform deployment and testing /li liSet up and manage frameworks for monitoring, logging, and alerting to ensure infrastructure health /li liOptimize compute and storage resources to balance cost-efficiency and performance /li liTroubleshoot Databricks and Spark performance issues /li liMentor team members on effective cluster management and resource allocation in Databricks environments /li liMaintain compliance and security standards throughout platform operations /li liDrive adoption of advanced Databricks capabilities like Photon and Graviton instances /li liRegularly refine architectures to align with evolving business and technology requirements /li /ul h3Requirements /h3 ul liExtensive experience in Databricks, Apache Spark, and distributed data processing systems /li liStrong programming skills in Python, Scala, SQL /li liProficiency in data engineering services on AWS (S3, IAM, Lambda), Azure, GCP /li liExpertise in data architecture and ETL workflows, focusing on data lakes and lakehouses /li liHands‑on experience with Terraform, CloudFormation, and CI/CD tools /li liFamiliarity with monitoring and observability frameworks in large‑scale data environments /li liStrong analytical and problem‑solving capabilities /li liExcellent communication and collaboration skills /li liAbility to self‑manage in a dynamic work environment /li /ul h3Nice to have /h3 ul liCertifications in Databricks, AWS, Azure, GCP /li liKnowledge of Kubernetes and containerized deployments for data pipelines /li liExperience with real‑time data streaming frameworks and governance tools /li /ul h3We offer /h3 ul liPrivate health insurance /li liEPAM Employees Stock Purchase Plan /li li100% paid sick leave /li liReferral Program /li liProfessional certification /li liLanguage courses /li /ul pEPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously. /p ul libWhy Join EPAM /b /li libWORK AND LIFE BALANCE. /b Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays. /li libCONTINUOUS LEARNING CULTURE. /b Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses. /li libCLEAR AND DIFFERENT CAREER PATHS. /b Grow in engineering or managerial direction to become a People Manager, in‑depth technical specialist, Solution Architect, or Project/Delivery Manager. /li libSTRONG PROFESSIONAL COMMUNITY. /b Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends. /li /ul h3Seniority level /h3 pMid‑Senior level /p h3Employment type /h3 pFull‑time /p h3Job function /h3 pBusiness Development, Information Technology, and Engineering /p pSoftware Development and IT Services and IT Consulting /p h3Referrals increase your chances of interviewing at EPAM Systems by 2x /h3 pMadrid, Community of Madrid, Spain /p h3Software Engineer (Python) - AI Platform /h3 pWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. /p /p #J-18808-Ljbffr

About Launchmetrics Es esencial asegurarse de que cumple con los requisitos como solicitante para este puesto; por favor, lea atentamente la información a continuación. Launchmetrics is the leading Brand Performance Cloud used by Fashion, Lifestyle and Beauty (FLB) executives to make smarter decisions around their branding efforts. With over a decade of industry expertise, we have helped more than 1,200 customers create inspiring, impactful and measurable experiences. Founded in NYC and headquartered in Paris, we have employees in ten markets worldwide and offer support in five languages. The Team & the Pods organization We are a team of passionate engineers distributed across the world, building state‑of‑the‑art modern applications and scaling them on the cloud. We innovate to solve customers’ problems, focusing on high‑performance implementations without neglecting the user experience. We recently moved our Product and Tech teams to a pod model, where a pod is a small group (1–4 people) that owns a single mission end‑to‑end: from scoping and building through cleaning, enablement and watching adoption. The role The Data Platform and Data Enrichment teams are in charge of making our unified database accessible, usable, enrichable and reliable for all our teams internally. The team owns the Lakehouse that powers Launchmetrics’ data products—a Databricks‑based platform built on Delta Lake, S3, and following a Bronze/Silver/Gold medallion architecture. This layer stores, enriches, and serves the media intelligence data behind Discover, Genie and Delta Sharing. You’ll work on a batch‑first system that simulates real‑time behavior using Change Data Feed, S3 event triggers, serverless compute and liquid clustering. What you’ll do • Design and build data pipelines (batch and near‑real‑time) using PySpark and Databricks across the Bronze/Silver/Gold medallion layers, • Architect efficient Delta Lake table schemas—partitioning/liquid clustering strategy, schema evolution handling, and enrichment workflows, • Work closely with product, QA and other data engineers to translate enrichment and search requirements into reliable pipelines, • Own code quality: structured PySpark jobs, unit tests (pytest) and adherence to team conventions, • Continuously improve pipeline reliability and cost efficiency (OPTIMIZE scheduling, retry/backoff logic, concurrency handling), • Participate in cross‑pod initiatives across the data platform Technical stack • Languages: Python, PySpark, Typescript, • Data Platform: Databricks, Delta Lake, Delta Sharing, • Storage: AWS S3, MySQL, • Cloud: AWS (S3, Kinesis, Lambda, SQS, ECS, Step Functions), • Tools: Jira, Databricks Asset Bundles, Serverless, Claude Code, • Versioning: Git, GitHub, • CI/CD: GitHub Actions, • Testing: pytest, Jest What we’re looking for • Engineer Degree or Master’s Degree in Computer Science, • 3+ years of relevant work experience in full‑stack development in a SaaS environment, • Strong Python and PySpark experience; comfortable with distributed data processing at scale, • Experience with a Lakehouse architecture (Databricks, Delta Lake or comparable), • Familiarity with medallion architecture patterns or similar layered data design, • Ability to reason about schema evolution, partitioning/clustering strategy and pipeline reliability (retries, idempotency), • Strong problem‑solving skills and ability to traverse and understand procedural or object‑oriented code, • Bright, energetic, highly motivated self‑starter with experience in a fast‑paced, results‑oriented organization, • Adaptable, able to estimate workload, break down tasks and suggest improvements, • Fluent in English (spoken, read, write) Why you’ll love it here We’re a company that puts people first, with a relaxed but genuinely dynamic atmosphere and a team of motivated, curious people who enjoy their work. Autonomy is real here: pods make local decisions and own their outcomes, so you’ll see your fingerprints on the product quickly. You’ll receive a learning and development allowance, a benefits package tailored to your location, flexible working arrangements, support to set up your home office, and the room to grow along whichever path fits you. We are remote‑friendly, with hubs across our twelve markets. Our commitment Launchmetrics is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce. xcskxlj If there is anything extra we can do to help you feel at ease during your interview process, please let the PeopleOps team member you’ll be meeting with know. #J-18808-Ljbffr

Company Introduction At Lognext we have been accompanying companies and teams for more than 18 years to identify and implement the technology necessary to advance, making their challenges and objectives our own and getting closer to their reality. Therefore, being a NEXTER means that your career and talent become meaningful to you and those around you, allowing you to build what matters most to you and reach your next level. Descubra si esta oportunidad es adecuada para usted leyendo toda la información que sigue a continuación. Job Overview We are looking for a Data & AI Technical Architect to join our team for a multinational leader in the banking sector. Responsibilities • Contribute to the development of technological solutions around Data and AI., • Participate in and lead workshops with different Data and AI teams., • Monitor technology trends, solutions and best practices., • Organize Dojos according to study topics., • Write technical reference documents and deliverables in English., • Participate in the publication of deliverables and the management of associated tools., • Contribute to measuring the adoption of technical architecture reference practices across entities., • Collect feedback and support the continuous improvement of deliverables and operating methods., • Contribute to the analysis of architecture files and provide input on technical architecture topics., • Work in synergy with other entities, contributing to the Data and AI vision.Qualifications, • Play a key role in strategic AI transformation initiatives at group level., • Experience in data architecture and AI-related technical solutions., • Cloud principles applied to data domains: Iceberg, Delta Lake, Metadata Catalog, Computing Framework, Ingestion Framework, Data Federation or Data Marketplace., • Knowledge of MLOps principles., • Experience working in transversal and collaborative architecture initiatives., • Mature, independent and well‑organized profile., • Excellent communication skills, both written and spoken, including presentations., • Ability to work in multicultural environments as part of a global team., • Strong analytical and synthesis skills, with rigor and precision., • Ability to influence, negotiate, organize and adapt., • Customer‑oriented mindset., • Experience with SAS Software or Teradata.Job Conditions & Benefits, • Professional Development: Access to an annual budget dedicated to advancing your skills through professional certifications., • Career growth opportunities within strategic Data & AI transformation projects.Equal Opportunity Statement In Lognext we are committed to equality between women and men. We also believe that multiculturalism is a source of values, experiences and knowledge that add value to our projects, which is why we believe in diversity and we are committed to it. We work every day to create environments where people are treated with respect and dignity no matter where they come from. xcskxlj We do not discriminate based on race, religion or beliefs, ethnicity, disability, age, nationality, marital status, sexual orientation, or gender. #J-18808-Ljbffr

pp¿Quieres formar parte de una empresa líder en Customer Science y Marketing Automation? En bCognodata /b, ayudamos a a mejorar su posición competitiva mediante la gestión avanzada de la información. ¡Únete a nuestro equipo! /p h3Responsabilidades principales /h3 ul liDiseño de arquitectura Databricks Lakehouse. /li liIngesta de fuentes: CDC, procesamiento por lotes (batch), archivos, API, bases de datos, polling y streaming. /li liDiseño de capas de activación y serving. /li liOptimización de rendimiento y costes. /li liGobierno y calidad del dato. /li liCoordinación con equipos de CRM y marketing. /li /ul h3Habilidades Clave /h3 ul liPensamiento analítico y estratégico /li liComunicación efectiva y storytelling con datos /liliProactividad y orientación a resultados /li liCapacidad de adaptación a entornos ágiles /li /ul h3¿Qué te ofrecemos? /h3 ul liProyectos innovadores en sectores como banca, retail, seguros /li liCarrera profesional y formación continua. /li liBuen ambiente laboral. /li liRetribución flexible. /li liTeletrabajo híbrido (base en Madrid, mínimo 2 días en oficina) /li liHorario flexible. /li liTodos los viernes, julio y agosto: jornada intensiva. /li liAcceso a plataformas de formación. /li /ul p¡Inscríbete y forma parte de una empresa que apuesta por la innovación, el talento y el crecimiento profesional! /p h3Requisitos Mínimos /h3 ul liExperiencia de al menos 5 años en Data Engineering. /li liExperiencia sólida en Databricks. /li liExperiencia sólida Spark / PySpark. /li liExperiencia sólida Azure Data Lake / Delta Lake. /li liExperiencia con patrones de ingesta de fuentes: CDC, procesamiento por lotes (batch), archivos, API, bases de datos, polling y streaming. /li liSQL avanzado. /li liArquitecturas event-driven. /li liInglés alto. /li /ul /p #J-18808-Ljbffr

HOMERIA Pozuelo de Alarcón, Community of Madrid, Spain Si los siguientes requisitos del puesto y la experiencia coinciden con sus habilidades, por favor, asegúrese de enviar su solicitud sin demora. Si quieres contribuir a que el fuego de las cocinas Burger King y Popeyes no cese, ¡ahora es tu oportunidad! Actualmente buscamos un/a ingeniero/a perfil híbrido - Data & ML Platform Engineer – Azure. La persona será el nexo entre datos, modelos y producción para asegurar pipelines de datos, CI/CD, observabilidad, costes y despliegues sobre Azure. Requisitos técnicos • Cloud & Orquestación: Azure Data Factory (ADF) avanzado (triggers, parametrización, linked services), Azure Functions (Python/Typescript) y AKS (Kubernetes) para serving., • Procesamiento: Databricks (Spark SQL + PySpark), Delta Lake, optimización de jobs (autotermination, cluster policies)., • MLOps: Azure ML (Model Registry, endpoints, pipelines de entrenamiento/inferencia), tracking de experimentos y versionado de datasets., • CI/CD & DevOps: Azure DevOps Repos + Pipelines (multi-stage, approvals)., • IaC: Terraform para infra reproducible., • Observabilidad & Calidad: logging distribuido (App Insights/Log Analytics), monitoring de drift, alertas de fallos e integración de tests (unitarios/contract/e2e) en pipeline (Postman)., • Seguridad & Cost control: RBAC/Key Vault, secretos, políticas de costes y etiquetado., • Lenguajes: Python sólido (packaging, poetry/pip, testing con pytest), bash; nociones de Docker., • Experiencia: 3-5 años totales en data/ML engineering (mín. 3 con Azure), experiencia real llevando modelo., • Experiencia con Snowflake. Condiciones de trabajo • Formaras parte del equipo IT de Homeria dando soporte director a RBE (Burger King, Popeyes y Tim Hortons)., • Modelo de trabajo híbrido, 2 días en oficina del cliente (Pozuelo de Alarcón)., • Trabajamos a jornada completa de lunes a viernes con flexibilidad horaria., • Salario competitivo. ¿Eres la persona que buscamos? xcskxlj ¡Te estamos esperando! #J-18808-Ljbffr

Atolls is the world’s largest community-driven shopping platform, active in 20+ markets. Si los siguientes requisitos del puesto y la experiencia coinciden con sus habilidades, por favor, asegúrese de enviar su solicitud sin demora. We help millions make smarter spending decisions across discovery, evaluation, and (re-)purchase by connecting people with the right brands and retailers. Our 1,000+ team across 10 countries builds products used every day at global scale, where you’ll have real ownership and see your impact. Want to shape the destinations people rely on to shop with confidence? Keep reading. About This Role: We are looking for a Data Engineer to join our Data Products team. At Atolls, your role will be instrumental in helping us shape the future of internal data products, creating exceptional user experiences and empowering consumers to make informed and confident shopping decisions. As a key part of our team, you’ll be directly involved in building and enhancing the digital destinations our users rely on throughout their shopping journeys. Your contributions will help shape how millions of consumers interact with our platforms, guiding them to make smart, fair, and rewarding choices. Our Benefits: • A culture that values personal and professional development, with internal mobility opportunities., • A supportive and open-minded team that embraces diverse perspectives and innovative ideas., • 32 days of paid vacation plus your birthday off, giving you the time you need to recharge., • A flexible hybrid working scheme to balance work and life., • Access to a learning budget and internal training to help you grow in your role., • Mental health coaching to support your well-being., • Regular global and local get-togethers to celebrate successes and build connections., • The possibility of taking a sabbatical after three years with the company., • A cloud-based company setup, providing flexibility and collaboration opportunities no matter where you are. These are global benefits that apply to all employees, with additional local perks based on your location. Responsibilities: In this role, you will: • Design, Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability using Python, Spark, and Clickhouse., • Develop and operate workflow orchestration with Apache Airflow to schedule, monitor, and manage data pipelines and transformations., • Manage, model and document critical data systems for analytics using SQL and dbt to support business intelligence and reporting workloads., • Implement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform components., • Containerize and deploy services using Docker and Kubernetes (and related tooling such as Helm)., • Collaborate with analysts, application teams and other stakeholders to turn requirements into technical designs and delivered solutions. Your Profile: We’re looking for someone with data engineering experience, who is dedicated to creating exceptional user experiences and driving innovation. Must have: • 4+ years building and running production data pipelines., • Python - strong, idiomatic, tested. You write pipelines that other people can read and easily debug., • SQL - advanced. Window functions, CTEs, query plans, and the instinct to know why a query got slow., • Data modeling & warehousing - dimensional modeling, incremental vs. full-refresh strategies, slowly changing dimensions, and the trade-offs between them., • dbt - building, testing, and documenting models in a real project., • Apache Airflow - authoring DAGs, plus the operational side: backfills, retries, SLAs, and debugging a failed run., • AWS - hands-on experience with S3 and the surrounding data services (Athena, Kinesis, EKS, Lambda)., • Docker & Kubernetes - you can containerize a job and understand what happens when a pod won’t schedule., • Git and CI/CD - branching, code review, and pipelines that gate merges. Nice to have: • Knowledge of ClickHouse or another columnar OLAP engine (BigQuery, Redshift) table engines, partitioning, and MergeTree tuning are a big plus., • Good experience with streaming data ingestion technologies such as Kafka, Kinesis, or similar., • Familiarity with infrastructure as code (IaC) - Terraform, Helm, Ansible., • Experience with data lake architectures - Parquet, Iceberg, or Delta Lake, and an understanding of layered lake design (bronze → silver → gold)., • Experience with BI tooling - Apache Superset, Looker, Tableau, or equivalent., • Strong experience integrating third‑party APIs - handling inconsistent schemas, rate limits, and unpredictable failure modes at scale., • Working knowledge of Apache Spark - PySpark or Scala. Soft skills: • Attention to detail - You care about correctness and you build the checks that prove it. In data engineering, a silently wrong number is worse than a loud failure., • Ownership - you run what you build, and you improve it when needed., • Clear communication - you can effectively explain in a pipeline to an analyst and a trade‑off to a stakeholder., • Pragmatism - you can tell the difference between the right long‑term design and the short‑term solution, and you know when each one applies., • Collaboration - you work well with data engineers, analysts, and other product and backend teams. Language requirements: • English - fluent, written and spoken. At Atolls, we want to ensure that all employees can thrive in an inclusive environment. Our employment opportunities are open to every gender, race, religion, age, sexual orientation, ability, place of origin, or socioeconomic status. xqbhyrx We remain committed to a culture of diversity, equity and belonging, where all employees are welcomed, respected, connected, and engaged. #J-18808-Ljbffr

ppEbury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. /p pIf you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future. /p h3Senior Quantitative Treasury/ALM Risk Modelling Analytics /h3 pTreasury /p pEbury Madrid Office - Hybrid: 4 days in the office, 1 day working from home per week /p pEbury is a dynamic fintech company at the forefront of financial innovation. As a leader in forex derivatives for hedging, we provide sophisticated solutions to our clients, ensuring financial stability and driving industry standards. With a global presence, we offer a unique blend of start-up agility and established company resources. Our Quantitative Treasury/ALM team is a hub of innovation, where we don't just follow industry norms; we redefine them. /p h3What you’ll do /h3 ul liAssist in the development and implementation of advanced quantitative risk models, including liquidity risk simulations, VaR99 calculations, and portfolio correlation analysis. /li liContribute to the simulation of balance sheet evolution and the development of multi-entity, multi-currency hedging strategies. /li liSupport the mapping of interest rate risk through DV01 analysis and the automation of hedging strategies. /li liParticipate in IFRS valuation and delta attribution projects, linking market impacts to revenue drivers. /li liContribute to the refactoring and optimization of our code using Python and SQL. /li liAssist in the analysis of pricing and revenue optimization strategies. /li liDocument and present quantitative findings to the team. /li liBrainstorm and contribute ideas to innovate current processes. /li /ul h3What you’ll need /h3 ul li+5 years of experience in quantitative analysis or programming. /li liProficiency in Python (NumPy, Pandas) and SQL. /li liExperience in quantitative finance or data analysis would be a plus. /li liA strong passion for quantitative financial mathematics and quantitative analysis. /li liCreative and innovative thinking, with a desire to challenge existing methodologies. /li liAnalytical and problem-solving skills. /li liCommunication, documentation and presentation skills with the ability to explain complex concepts clearly and concisely. /li liCuriosity and a drive to learn complex financial concepts. /liliAbility to work effectively in a collaborative team environment. /li liConfident communication in English, both written and spoken. /li liOpen to candidates from diverse academic backgrounds, provided they demonstrate a strong interest and aptitude for quantitative finance and risk modeling. /li /ul h3Why Ebury? /h3 ul libCompetitive Starting Salary /b with an bannual discretionary bonus /b that truly rewards your performance from day one. /li libDedicated Mentorship: /b Learn directly from experienced managers who are invested in your success. /li libCutting-Edge Technology: /b Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best. /li libClear, Accelerated Career Progression: /b Defined pathways to leadership and specialist roles within Ebury. /li libDynamic Supportive Culture: /b Work in a collaborative environment where teamwork and personal growth are prioritized. /li libGenerous Benefits Package: /b Access competitive benefits tailored to your location, which typically include health care and social benefits. /li libCentral Madrid Office: /b A fantastic location with excellent transport links. /li /ul /p #J-18808-Ljbffr

ppLocation: Madrid, Spain /p pEnter our world. Transform with us. /p h3What will be your challenge? /h3 pWithin our Competence Centre “xTech”, BIP has built one of the largest communities of Data Scientists, Data Engineers and AI specialists in Europe. From our international hubs, including Spain, we coordinate multidisciplinary teams delivering advanced data and AI solutions to leading enterprise clients across industries. /p pAs an AI Engineer – Generative AI Databricks at BIP, you will design and implement end-to-end AI solutions combining robust data pipelines, scalable lakehouse architectures and state‑of‑the‑art language models. You will work mainly with Python, PySpark, Databricks, Postgres and open‑source LLMs such as Qwen, helping clients transform complex business needs into production‑ready AI systems. /p pYou will work in project environments where data may come from structured and unstructured sources, including databases, documents, text, images, video, audio and enterprise applications. Your role will be to process, enrich, model and activate this data through advanced analytics, retrieval‑augmented generation, language model integration and AI‑powered automation. /p pProjects may range from building data pipelines and analytical foundations in Databricks, to implementing RAG architectures, adapting LLMs to specific business contexts, creating AI agents, deploying AI‑enabled applications and integrating AI capabilities into business workflows and enterprise systems. /p pIn addition to project delivery, you will actively contribute to our internal AI Community through technology scouting, reusable assets, solution design, best practices, accelerators and business development initiatives. /p h3Mandatory Requirements /h3 ul liMaster’s Degree in Computer Engineering, Mathematical Engineering, Computer Science, Statistics, Data Science, Artificial Intelligence, Telecommunications Engineering or related STEM disciplines; /li liStrong quantitative mindset, analytical skills and problem‑solving capabilities; /li liSolid programming experience in Python; /li liStrong hands‑on experience with PySpark for distributed data processing; /li liPractical experience working with Databricks, including notebooks, jobs, clusters, Delta Lake and data pipeline development; /li liExperience designing and implementing ETL/ELT pipelines in lakehouse or cloud data environments; /li liStrong knowledge of SQL and relational databases; /li liHands‑on experience with Postgres, including data modeling, query design and integration with analytical or AI workloads; /li liExperience processing structured and unstructured data, including text, documents, images or other enterprise data sources; /li liKnowledge of Generative AI techniques and Large Language Models; /li liHands‑on experience using open‑source LLMs, preferably Qwen or similar model families; /li liExperience building solutions based on Retrieval‑Augmented Generation, embeddings, vector search and semantic search; /li liKnowledge of prompt engineering techniques and LLM orchestration patterns; /li liExperience integrating AI models into applications, APIs, data workflows or business processes; /li liExperience with version control systems such as Git; /li liStrong understanding of model evaluation, data quality, monitoring and responsible AI principles; /li liFluent professional proficiency in Spanish and English. /li /ul h3Nice to Have /h3 ul liExperience with Qwen or other open‑source LLMs for enterprise AI use cases; /li liExperience working with multimodal AI models for document, image, video or audio understanding; /li liExperience fine‑tuning or adapting LLMs using techniques such as LoRA, QLoRA, PEFT or instruction tuning; /li liExperience with Hugging Face libraries, model repositories and open‑source AI ecosystems; /li liExperience with MLflow, particularly within Databricks, for experiment tracking, model registry and deployment lifecycle management; /li liExperience with vector databases or vector search technologies such as Databricks Vector Search, pgvector, ChromaDB, Qdrant, Pinecone or Elasticsearch; /li liExperience using Postgres extensions for AI or analytics workloads, especially pgvector; /li liExperience developing data products, APIs or backend services using frameworks such as FastAPI; /li liExperience with cloud platforms such as Azure, AWS or Google Cloud; /li liExperience with Azure OpenAI, Azure AI Foundry, AWS Bedrock, Google Vertex AI or similar managed AI services; /li liExperience with containerization and deployment tools such as Docker and Kubernetes; /li liExperience with orchestration tools such as Airflow, Databricks Workflows, Azure Data Factory or similar; /li liKnowledge of software development lifecycle, CI/CD and production‑grade engineering practices; /li liExperience working in Agile frameworks such as Scrum or Kanban; /li liExperience building AI agents, tool‑using LLM applications or workflow automation solutions; /li liExperience with data governance, security, access control and privacy requirements in enterprise environments; /li liExperience designing scalable data and AI architectures in cloud environments. /li /ul h3Soft Skills /h3 ul liStrong consulting mindset; /li liAbility to understand business problems and translate them into data and AI solutions; /li liExcellent communication and interpersonal skills; /li liClient‑oriented and results‑driven; /li liTeamwork attitude and ability to collaborate with multidisciplinary teams; /li liCuriosity and willingness to continuously explore new AI technologies; /li liAttention to detail and ability to work under deadlines; /li liAbility to explain complex technical concepts to both technical and non‑technical stakeholders. /li /ul h3Why BIP? /h3 ul liGrowth Learning ul liAccess to 300+ courses on emerging technologies and business topics, personalized development programs, and continuous training initiatives to support your professional and personal growth. /li /ul /li liFlexibility Work‑Life Integration ul liHybrid working model with flexibility to balance remote and office work in agreement with your manager and project needs, plus initiatives supporting work‑life balance. /li /ul /li liHealth Benefits ul liPrivate health insurance, wellness platforms, meal vouchers, and an attractive benefits package. /li /ul /li liFamily Parenthood ul liSupport for new parents, including enhanced parental leave benefits and dedicated initiatives during and after parental leave. /li /ul /li liInclusion Values ul liWe promote uniqueness and equal opportunities for everyone. We are committed to creating an ethical, inclusive and welcoming work environment. /li /ul /li /ul pBip Iberia, en compromiso y coherencia con la Ley Integral para la Igualdad de Trato y la No discriminación tiene abiertas todas las posiciones de búsqueda de perfiles a todas aquellas personas que estén debidamente cualificadas para cubrir la vacante, independientemente de su edad, discapacidad, género, orientación sexual o política, raza o creencia. /p pBUSINESS INTEGRATION PARTNERS CONSULTING IBERIA, S.L., con NIF B y contacto tratará los datos recibidos al aplicar su candidatura en la oferta como Responsable del tratamiento, con la finalidad de gestionar el proceso de selección actualmente activo en base a la aplicación de medidas precontractuales del artículo 6.1. b) del GDPR, así como para futuros procesos de selección si su perfil fuera de interés, en base al consentimiento del artículo 6.1 a). /p pBUSINESS INTEGRATION PARTNERS CONSULTING IBERIA, S.L. no comunicará sus datos a terceros salvo obligación legal. Así mismo, el periodo de conservación de su CV como máximo 1 año, en el que será destruido. /p pIgualmente puede ejercer sus derechos de acceso, rectificación, supresión, oposición, limitación al tratamiento, portabilidad, y a no ser objeto de decisiones individualizadas automatizadas o consultar información adicional sobre el tratamiento en el correo : /p /p #J-18808-Ljbffr

Who We Are Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura. Axpo is Switzerland’s largest producer of renewable energy and an innovation leader in international energy trading. To support our digital and data-driven ambitions, we are investing in robust, secure, and scalable infrastructure. You will be part of a platform team working hand-in-hand with the Chief Data & Analytics Office (CDAO) and business data teams to ensure that our data platform operates reliably, securely, and in full alignment with enterprise-wide governance policies and business needs. About the Role As a Databricks Platform Engineer within the Infrastructure Business Area, you will focus on the secure, scalable, and reliable operation of Axpo’s Databricks platform in the Azure cloud. You’ll take a lead role in automating infrastructure, integrating platform capabilities into broader enterprise services, and ensuring robust networking, storage, and governance alignment. You’ll collaborate with platform, security, and data teams to provide a high-performing and compliant analytics environment. Your Responsibilities • Administer and operate Databricks workspaces, jobs, clusters, and Unity Catalog across multiple environments, • Automate infrastructure provisioning and platform operations using Terraform, CI/CD pipelines, and Databricks APIs, • Ensure robust network integration, including secure VNet peering, firewall rules, and private endpoint configurations to protect sensitive data flows, • Support integration of Azure Blob Storage, ensuring efficient, secure data access for both ingestion and analytics use cases, • Contribute to the configuration and troubleshooting of external database connections (e.g., via JDBC) and other downstream system integrations, • Ensure proper access control and identity management using SCIM, AAD, and role-based permissions across workspaces and Unity Catalog, • Support platform observability by implementing and managing telemetry pipelines (Datadog, Grafana, Dragster), • Collaborate with security teams to ensure compliance with policies and frameworks (e.g., data encryption, audit logging, GDPR), • Develop foundational knowledge of API Gateway capabilities and support interfacing Databricks workloads with internal or external services, • Contribute to platform documentation, reusable modules, and support runbooks, • Act as a technical reference for platform-related challenges and incidents What You Bring • A university degree in Computer Science, IT, or a related technical field, • Proven experience operating Databricks in enterprise or cloud-native environments, • Solid hands-on expertise in Azure networking, including VNet integration, firewall configuration, and network security controls, • Familiarity with integrating Databricks with Azure Blob Storage, external databases, and enterprise APIs, • Working knowledge of Azure API Management or similar gateways, and how APIs can be exposed or consumed securely by Databricks, • Proficiency in Terraform, Azure DevOps, and scripting languages like Python or Shell, • Good understanding of authentication, authorization, and identity federation within cloud platforms, • Awareness of cost monitoring and performance tuning within Databricks and Azure services, • Strong communication skills and a collaborative mindset, • Fluent in English Technologies You’ll Work With • Cloud & Infra: Microsoft Azure, Azure VNet, Private Endpoints, Blob Storage, API Management, • Platform: Databricks, Delta Lake, Unity Catalog, Spark, • IaC & Automation: Terraform, Azure DevOps, Bitbucket/GitHub, CI/CD, • Scripting & Integration: Python, REST APIs, JDBC, SCIM, • Observability: Datadog, Grafana, Dragster, • Other: Docker, Linux, Azure Active Directory Nice to Have • Experience with multi-workspace governance and account-level Databricks configurations, • Familiarity with containerized workloads (e.g., AKS, Docker), • Exposure to regulated environments (e.g., energy, finance), • Knowledge of orchestration tools such as Airflow or Dagster Benefits: At our company, we strive to create a culture of continuous learning, personal growth, and international community involvement. We're passionate about providing our employees with the tools and resources they need to succeed, and we're confident that you'll love being part of our team! • Working Hours We offer flexible working hours to accommodate your work schedule. 60% on remote and 40% at our offices in Madrid, Torre Europa. • Meal allowances You can enjoy delicious meals on us, no matter if you are working remotely or on-site. *Option to use it for public transportation or childcare instead. • Internet Compensation We cover the cost of your home internet connection, as we understand how essential connectivity is in the modern workplace. • Microsoft ESI Certifications Access to the ESI (Enterprise Skills Initiative) program certifica-tion, provides hands-on training for learning and enhancing tech- nical skills and knowledge of Microsoft and Azure technologies. • Training courses Our company is committed to helping our employees grow and develop their skills, which is why we offer a variety of industry- specific training courses and a learning channel. xcskxlj • Gym Coverage Stay active and healthy with our 90% coverage benefit, which provides access to the nearby gym: Forus Selection to keep you energized throughout the day • Hea lth Insurance We take the health and well-being of our employees seriously, which is why we offer a comprehensive health insurance plan and the option to extend it to your spouse and children. #J-18808-Ljbffr

Overview GFT es una compañía pionera en transformación digital. Diseñamos soluciones de negocio centradas en la inteligencia artificial (AI-Centric), modernizamos infraestructuras de TI y desarrollamos sistemas core de nueva generación para líderes del sector bancario, asegurador e industrial. En estrecha colaboración con nuestros clientes, desafiamos los límites para ayudarles a alcanzar todo su potencial. ¿Qué estamos buscando? Actualmente, tenemos un puesto vacante para un/a Data Architect que quiera unirse a nuestra compañía. Buscamos una persona con sólida trayectoria en ciencia de datos, capaz de liderar equipos o diseñar estrategias analíticas y guiar la implementación de soluciones avanzadas para nuestro Center of Excellence (Co E) AI. DA. Responsabilidades Tus principales responsabilidades serán: Responsable de diseñar, implementar y evolucionar la arquitectura de datos de la organización, asegurando que los sistemas de ingesta, procesamiento, almacenamiento y consumo de datos sean escalables, seguros y eficientes. Diseñar y mantener la arquitectura de referencias de datos (en entornos batch y streaming). Definir estrategias de ingesta (CDC, API, streaming), almacenamiento (Data Lake, Data Warehouse, Lakehouse) y orquestación. Asegurar la calidad, integridad y disponibilidad de los datos a lo largo de su ciclo de vida. Liderar la adopción de patrones y frameworks de integración de datos (ETL/ELT, Data Mesh, Event-Driven). Colaborar con equipos de ingeniería, analítica y negocio para definir modelos de datos y necesidades de explotación. Supervisar la seguridad, gobernanza y cumplimiento normativo (GDPR, políticas de acceso, catalogación). Evaluar nuevas tecnologías y proponer mejoras de rendimiento, coste o mantenibilidad. Liderazgo técnico y coaching. Requisitos Experiencia profesional de más de 7 años en proyectos como Data Architect. Diseño de arquitecturas distribuidas y escalables. Procesamiento batch y streaming. Integración de datos (CDC, APIs, colas, mensajería, ETL/ELT). Patrones de Data Lake / Data Warehouse / Lakehouse / Data Mesh. Principios de seguridad, gobierno y calidad de datos. Modelado de datos relacional y dimensional. Familiaridad con metodologías ágiles (Scrum/Kanban). Valorable nivel de inglés alto (B2/C1) para colaborar en proyectos internacionales. Tecnologías principales Cloud Platforms: Azure (Data Factory, Synapse, Databricks, Event Hub), AWS (Glue, Redshift, S3, Kinesis), GCP (Big Query, Dataflow, Pub/Sub). Procesamiento de datos: Spark, Databricks, Flink, Beam, Airflow. Bases de datos y almacenamiento: SQL Server, Postgre SQL, Snowflake, Delta Lake, Parquet, Big Query. Ingesta y streaming: Kafka, Debezium, Ni Fi, Air Byte, Event Hub, Pub/Sub. Gobernanza y catálogo: Unity Catalog, Collibra, Open Metadata, Purview. Contenedores y orquestación: Docker, Kubernetes. Lenguajes: Python, Scala, Java, SQL. Competencias personales Trabajo en equipo y colaboración multidisciplinaria. Habilidades de comunicación, favoreciendo dinámicas que permitan el flujo de conocimiento, con interés tanto en aprender como en enseñar. Buena comunicación y documentación técnica. Orientación a resultados y proactividad. En GFT consideramos que la diversidad es uno de nuestros pilares fundamentales y promovemos un entorno de trabajo inclusivo basado en la cooperación y el respeto mutuo. Ofrecemos igualdad de oportunidades a todas las personas sin tener en cuenta su raza, origen cultural, sexo, edad, orientación sexual, identidad de género, discapacidad o creencias religiosas. GFT dispone y ha registrado un Plan de Igualdad que recoge las medidas a adoptar con el objetivo de alcanzar en la empresa la igualdad de trato y de oportunidades entre mujeres y hombres y a eliminar, si es que la hay, la discriminación por razón de sexo ¡Únete a nuestro equipo global! #J-18808-Ljbffr

En Elis, grupo internacional líder en servicios de alquiler y mantenimiento de artículos textiles, higiene y bienestar para profesionales, confiamos en las personas que forman parte de nuestro equipo. Apostamos por su desarrollo, su autonomía y su crecimiento dentro de una empresa con más de 75 años de experiencia y un firme compromiso con la economía circular y la sostenibilidad. La siguiente información ofrece un resumen de las habilidades, cualidades y cualificaciones necesarias para este puesto. Tu misión Buscamos un/a Técnico/a de Relaciones Laborales para nuestra planta industrial. Tu objetivo será garantizar una gestión laboral eficaz, cercana y conforme a la normativa vigente, asegurando la correcta aplicación de la legislación laboral, convenios colectivos y políticas internas de la compañía. Responsabilidades principales • Gestión integral de relaciones laborales en la planta: contratación, seguimiento de incidencias laborales, finalización de contratos y gestión de documentación laboral., • Elaboración y control de nóminas, altas, bajas y variaciones en la Seguridad Social., • Coordinación y uso de plataformas como Contrat@, Delta@ y Sistema RED., • Aplicación y actualización de convenios colectivos, asegurando el cumplimiento de las normativas laborales y de PRL., • Asesoramiento laboral a responsables y empleados sobre derechos, deberes y procedimientos internos., • Colaboración en la resolución de conflictos laborales, mediaciones y comunicación con representantes de los trabajadores., • Soporte en auditorías laborales, inspecciones y reportes internos., • Participación en proyectos de formación y desarrollo del centro, • Formación universitaria en Relaciones Laborales, Derecho Laboral o Recursos Humanos., • Experiencia de al menos 4-5 años en un puesto similar dentro de entornos industriales o de servicios., • Conocimientos sólidos de legislación laboral, convenios colectivos, Seguridad Social y nóminas., • Dominio de herramientas de gestión laboral (A3, SAP, Meta4 u otras similares)., • Persona proactiva, resolutiva y con gran orientación al trabajo en equipo., • Periodo de formación inicial para conocer el negocio, los procesos y los valores de Elis., • Salario competitivo + variable por objetivos., • Beneficios sociales y plan de bienestar para empleados., • Oportunidades reales de desarrollo profesional dentro de un grupo internacional sólido y en crecimiento. Porque en Elis creemos en las personas. Apostamos por profesionales comprometidos, con pasión por las relaciones laborales y la gestión de personas. Si disfrutas garantizando el cumplimiento normativo y fomentando un entorno laboral justo y saludable, esta oportunidad es para ti. xqbhyrx Únete a ELIS MANOMATIC, S.A.U. y crece con nosotros. ELIS MANOMATIC, S.A.U. no discriminará directa o indirectamente a los candidatos y candidatas en los procesos de selección, por razones de sexo, estado civil, edad, origen racial o étnico, condición social, religión o convicciones, ideas políticas, orientación sexual, afiliación o no a un sindicato, así como por razón de lengua #J-18808-Ljbffr

¿Quieres formar parte de una empresa líder en Customer Science y Marketing Automation? En Cognodata, ayudamos a a mejorar su posición competitiva mediante la gestión avanzada de la información. ¡Únete a nuestro equipo! Descubra más sobre las tareas diarias, las responsabilidades generales y la experiencia requerida para esta oportunidad desplazándose hacia abajo ahora. Actualmente buscamos consultores/as con experiencia en Databricks para incorporarse a un equipo especializado en proyectos de transformación del dato en el área bancaria. Responsabilidades • Diseñar, desarrollar y optimizar pipelines de datos utilizando Databricks., • Participar en la construcción y evolución de plataformas Data Lakehouse., • Desarrollar procesos ETL/ELT para la integración, transformación y explotación de datos., • Colaborar con equipos de negocio para identificar necesidades y convertirlas en soluciones analíticas basadas en datos., • Elaborar modelos de datos y preparar información para cuadros de mando, reporting y casos de uso avanzados., • Garantizar la calidad, trazabilidad y gobierno del dato durante todo el ciclo de vida., • Participar en iniciativas de modernización de arquitecturas de datos en entornos Cloud., • Colaborar en la mejora continua de procesos, rendimiento y buenas prácticas dentro del ecosistema Databricks. Habilidades Clave • Pensamiento analítico y estratégico, • Comunicación efectiva y storytelling con datos, • Proactividad y orientación a resultados, • Capacidad de adaptación a entornos ágiles ¿Qué te ofrecemos? Proyectos innovadores en sectores como banca, retail, seguros... • Carrera profesional y formación continua., • Buen ambiente laboral., • Retribución flexible., • Teletrabajo híbrido (base en Madrid, mínimo 2 días/semana en oficina), • Horario flexible., • Todos los viernes, julio y agosto: jornada intensiva., • Acceso a plataformas de formación. Requisitos Mínimos • Experiencia trabajando con Databricks., • Conocimientos de Python, SQL y Apache Spark., • Experiencia en plataformas Cloud (Azure)., • Capacidad para trabajar en equipos multidisciplinares y en contacto con cliente., • Valorable experiencia en proyectos del sector bancario., • Inglés alto. Se Valorará Especialmente • Certificación oficial Databricks (Associate, Professional o equivalente)., • Experiencia con Delta Lake, Unity Catalog, Data Factory, Airflow o herramientas similares de orquestación., • Conocimientos en metodologías ágiles y buenas prácticas de ingeniería del dato. xcskxlj ¡Inscríbete y forma parte de una empresa que apuesta por la innovación, el talento y el crecimiento profesional! #J-18808-Ljbffr

Se busca Arquitecto de Datos para liderar proyectos en Microsoft Fabric, trabajando con Data Pipelines, Spark, Delta Lake, One Lake y Medallion. Se valora experiencia en seguridad y gobernanza. Ofrece desarrollo y flexibilidad.

pEmpresa confidencial busca un/a Technical Manager con foco en Data Architecture AI para liderar equipos multidisciplinares y definir arquitecturas de referencia en entornos Databricks. Coordinar proyectos estratégicos y colaborar con clientes para impulsar soluciones innovadoras basadas en data lakehouse. /ppEl/la candidato/a ideal aporta al menos 7 años en datos y 4 años liderando equipos, domina Databricks, Delta Lake y MLflow, y tiene experiencia en IA Generativa y MLops. /p #J-18808-Ljbffr

Getnet is the leading fintech provider of payment solutions in Latin America and Iberia . We offer robust, omnichannel solutions that cater to the unique needs of our customers, integrating seamlessly with existing ecosystems while delivering powerful proprietary capabilities. Es posible que un gran número de candidatos se presenten a este puesto, así que asegúrese de enviar su CV y su solicitud lo antes posible. Our comprehensive suite of services includes payment gateway, in-store and e-commerce acquiring, processing, fraud prevention, financial services and value-added solutions tailored to industries such as retail, food & beverage, health & beauty, hospitality and travel. In 2025, Getnet processed over €238 billion across 10.5 billion transactions, serving 1.2 million clients. The company ranks as the largest acquirer in Latin America by number of transactions, and among the top 10 globally . Getnet operates across Brazil (as an e-commerce leader), Mexico, Chile, Argentina, Uruguay, Colombia, Spain, and Portugal. Getnet is built to serve merchants, ISVs, PayFacs, orchestrators, platforms and the next generation of commerce enablers, connecting technologies and markets through a unified, omnichannel payment experience that boosts performance and drives growth. WHY JOIN OUR TEAM If you want to shape the future of financial solutions, this is the place! At Getnet, your work connects to something bigger, creating a real impact across global teams and markets for our clients and communities. Our people are our greatest strength. We combine growth opportunities, strong team connections, and a culture that supports your well-being and sense of belonging, so you can develop, contribute, and feel valued. With flexibility and autonomy built into how we work, you’ll have the space to focus, collaborate, and perform at your best. Here, your impact matters, your growth is supported, and your experience is designed to help you thrive. WHAT YOU’LL DO As a Senior Machine Learning Engineer , these will be some of the key activities in your day-to-day role: Design, train and deploy scalable machine learning models using Getnet data to solve high-impact payment and business challenges across geographies. Build and maintain end-to-end machine learning pipelines, from exploration and feature engineering through scoring, deployment and monitoring. Lead the technical design and delivery of proofs of concept and new AI/ML initiatives within Getnet Payments' AI Lab. Drive decisions on model architecture, experimentation and deployment, balancing performance, scalability, explainability and maintainability. Partner with business, product and cross-functional teams to turn prioritized opportunities into production-ready data solutions. Strengthen engineering quality through clean code, automated testing, documentation, version control, CI/CD and reusable standards. Monitor production models for drift, data quality, performance and reliability, using alerts and dashboards to guide action. Mentor junior colleagues and communicate complex findings clearly to non-technical stakeholders across markets. WHAT WE’RE LOOKING FOR We are in search of a Senior Machine Learning Engineer to join our AI Lab in Boadilla del Monte, with the following qualifications and background: Professional Experience 5+ years of professional experience in Machine Learning Engineering, Data Science or Applied Research roles. (Required) Proven experience building, deploying and operating end-to-end machine learning solutions on tabular data at scale in production cloud environments. (Required) Experience leading technical decisions, proofs of concept or AI/ML initiatives and supporting junior team members. (Required) Experience working in agile, cross-functional teams across multiple markets or geographies. (Required) Experience in fintech, payments, banking or e-commerce. (Preferred) Education Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Physics, Engineering or a related quantitative field. (Required) PhD in a related quantitative field. (Preferred) Languages English, professional proficiency. (Required) Hard Skills Required Python and core data and machine learning libraries, including pandas, NumPy, scikit-learn, XGBoost or LightGBM, SciPy and statsmodels. (Required) Applied statistics, probability and linear algebra, with experience in classification, regression, uplift and anomaly detection at scale, feature engineering, temporal validation, explainability (XAI) and mathematical optimization. (Required) Observational causal inference, uplift modeling, A/B testing and experimental design, including familiarity with EconML, causalml and DoWhy. (Required) Azure Databricks, including Workflows, Delta Lake, Unity Catalog and Databricks Connect; Azure OpenAI Service, AKS and Key Vault; PySpark, Spark SQL and MLflow for tracking, registry, serving and versioning. (Required) Time-series and model-monitoring techniques, including change point detection, clustering, seasonality and trend analysis, drift detection, data quality alerts and performance dashboards. (Required) Transformer and LLM concepts, prompt engineering and the integration and operationalization of LLM-based solutions through Azure OpenAI or similar services. (Required) Git, CI/CD for machine learning, pytest, schema validation and clean, testable, well-documented Python code. (Required) Preferred LLM-based AI agents using LangChain, LangGraph, OpenAI Agents SDK, CrewAI or Agno, with knowledge of MCP, LangFuse, MLflow Tracing, multi-agent orchestration, RAG, tool use and domain-specific AI models. (Preferred) AWS services, including SageMaker, S3, Bedrock, EKS, Lambda, Step Functions and Glue, and experience working across Azure and AWS. (Preferred) Soft Skills Required Technical leadership, sound decision-making, ownership and accountability. (Required) Analytical thinking and structured problem-solving. (Required) Clear communication with technical and non-technical stakeholders. (Required) Cross-functional collaboration across markets and geographies. (Required) Ability to mentor junior colleagues and foster continuous improvement. (Required) Preferred Learning agility and curiosity about emerging AI technologies. (Preferred) Getnet is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation. We are committed to providing an inclusive and accessible application process for all candidates. OUR OFFER AND BENEFITS By joining our team, you will enjoy multiple benefits, such as: We care for your well-being, so you will have health insurance, life insurance, dental insurance , annual health care, and access to Wellhub. We promote flexibility with a hybrid and collaborative model; the selected candidate must be ready to work 60% on-site. We aim to boost your growth with access to self-development programs. We aim to make your workdays more accessible, so you will have transportation allowance and meal voucher/food voucher. xcskxlj Getnet is part of Santander Group, one of the world’s leading financial groups, with a presence in more than 22 countries. #J-18808-Ljbffr

pAltia, con sede en Madrid, busca un Data Engineer Azure / Databricks para unirse a un equipo consolidado. Se requieren al menos 5 años de experiencia en data engineering y 3 años con Databricks, con desarrollo de procesos ETL/ELT eficientes y escalables. /ppEs imprescindible dominio de Python, PySpark y SQL, experiencia con Unity Catalog y Delta Lake, y certificación Databricks. Se valora Azure Data Factory para orquestación y experiencia con fuentes de datos mixtas. /p #J-18808-Ljbffr

Experteer Overview Lea el resumen de esta oportunidad para comprender qué habilidades, incluidas las habilidades interpersonales relevantes y el dominio de paquetes de software, se requieren. As a Software Development Engineer, you will shape Discover, the brand-monitoring and analytics module of Launchmetrics. You’ll own end-to-end features within a pod-driven team, leveraging AI-enabled insights to boost customer value. You’ll collaborate across product, design and QA to deliver reliable, scalable solutions while improving code health and architecture. This role offers the chance to influence the tech and product strategy at scale in a fast-paced environment. Compensaciones / Beneficios • Contribute to new features from architecture to market, using modern tech, • Maintain and improve existing features through defect fixes and refactors, • Serve as frontend expert with React and Redux guidance, • Architect efficient database schemas and enhance data models, • Collaborate with product management, designers and QA to translate requirements into features, • Advocate for code quality with well-structured code and unit tests, • Drive AI-led improvements across tooling, docs, and processes, • Refactor and optimize for performance and reduced complexity Responsabilidades • Master in Computer Science, with at least 2 years of full-stack SaaS experience, • 2+ years of JavaScript/TypeScript experience, • Interest in AI-assisted development workflows (e.g., Claude, GitHub Copilot), • Strong React expertise, • Experience building a RESTful or GraphQL xqbhyrx API, • Experience with modern data platforms (Databricks, Spark, Delta Lake) or similar (e.g., ElasticSearch), • Knowledge of data modeling, performance tuning, and lifecycle management in large-scale distributed systems, • Self-starter in a fast-paced environment; good problem solving and adaptability, • English fluency Requisitos principales • remote work, • fully remote options, • international team, • opportunity to influence product/tech strategy

Experteer Overview In this Senior role, you will develop and implement advanced quantitative risk models to support liquidity, market and interest-rate risk management. You’ll work within the Quantitative Treasury/ALM team to shape hedging strategies and balance sheet evolution across multiple entities and currencies. You’ll translate complex analytics into actionable insights for revenue and risk stakeholders, using modern tech to optimize processes. Join a dynamic fintech that blends startup agility with established resources to accelerate global growth. Compensaciones / Beneficios • Develop and implement advanced quantitative risk models (liquidity risk simulations, VaR99, portfolio correlation) • Simulate balance sheet evolution and design multi-entity, multi-currency hedging strategies • Map interest rate risk via DV01 analysis and automate hedging approaches • Contribute to IFRS valuation and delta attribution linking market moves to revenue • Refactor and optimize code in Python and SQL • Analyze pricing and revenue optimization strategies • Document and present quantitative findings to the team • Brainstorm ideas to innovate existing processes Responsabilidades • +5 years in quantitative analysis or programming • Proficiency in Python (NumPy, Pandas) and SQL • Experience in quantitative finance or data analysis is a plus • Strong passion for quantitative financial mathematics • Analytical and problem-solving skills • Strong communication, documentation and presentation abilities • Curiosity and willingness to learn complex financial concepts • Ability to collaborate effectively in a team • Fluent English (written and spoken) • Open to diverse academic backgrounds with interest in quantitative finance and risk modelling Requisitos principales • competitive starting salary with discretionary bonus • mentorship from experienced managers • state-of-the-art tools and systems • clear accelerated career progression • dynamic and supportive culture • generous benefits package

About ClickHouse Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura. Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! Note:. We are hiring for this role remotely in any country ClickHouse has a hiring presence. About the Team The ClickPipes - Database Integrations team builds the platform that enables real-time data replication from databases into ClickHouse at petabyte scale. As a member of this team, you will be solving complex database-related challenges and distributed systems problems, such as understanding database internals to optimize snapshotting strategy, handling schema evolution during live replication, managing data type compatibility across systems, maintaining low end-to-end latency under unpredictable loads, and leveraging durable execution frameworks to ensure data consistency over unreliable networks. We work in the open — our database integrations are built on PeerDB, an open-source CDC platform we actively maintain and contribute to. See some of our recent work: • ClickPipes for Postgres now supports failover replication slots, • MongoDB CDC to ClickHouse with Native JSON Support, • Under the Hood: Building MySQL Change Data Capture in ClickPipes What You’ll Do: • Build data-intensive systems, • Design and develop high-throughput integrations with databases (Postgres, MySQL, MongoDB), data lakes (Iceberg, Delta Lake), and data warehouses (BigQuery, Snowflake)., • Handle edge cases in real-world production scenarios: unconventional database setups, internals of data types, database upgrades/failovers, large transactions, etc., • Design integration solutions to enable users to fully harness ClickHouse's performance and throughput. Own end-to-end reliability • Debug complex issues in production leveraging runtime diagnostics (e.g. pprof, parca) and observability tools (e.g. metrics, logging, tracing)., • Build and improve infrastructure and tools to increase system reliability, reduce incident response time, and simplify/automate operations., • Write clear documentation, both publicly and internally., • Participate in on-call rotation. Drive product innovation • Work directly with customers to understand integration requirements and discover gaps in existing product., • Collaborate cross-functionally with internal teams to ensure operational efficiency., • Lead technical discussions and influence product roadmaps. About You: • 5+ years of industry experience building data-intensive software solutions., • Proficient in Go, or experienced in systems programming with willingness to ramp up quickly in Go., • Cloud-native experience deploying and operating services on at least one major cloud platform (AWS/GCP/Azure)., • Practical experience with Kubernetes., • Strong problem solver and solid production debugging skills., • Clear communication in writing (design docs, code review) and verbally (technical discussions, customer calls, incident response). Bonus Points • Experience with database replication technologies (CDC, logical replication)., • Experience with durable execution frameworks (Temporal)., • Experience with data formats and protocols (Avro, Parquet, Protobuf)., • Experience with modern data processing frameworks (e.g. Kafka, Spark, Flink)., • Experience with maintaining/contributing to open-source software. Why Join Us • Work on challenging problems at the intersection of database technologies, distributed systems, and cloud-native architecture., • Work on a team that builds software in the open (PeerDB), and that cares about the craft of engineering, documentations, and continuous learning., • Be part of a high-visibility team that delivers meaningful impact to customers in a dynamic, hyper-growth environment. #LI-remote Compensation For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed. These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments. An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization. If you have any questions or comments about compensation as a candidate, please get in touch with us at Perks • Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries., • Healthcare - Employer contributions towards your healthcare., • Equity in the company - Every new team member who joins our company receives stock options., • Time off - Flexible time off in the US, generous entitlement in other countries., • A $500 Home office setup if you’re a remote employee., • Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. Culture - We All Shape It As part of a rapidly scaling start up, you will be instrumental in shaping our culture. xqbhyrx Equal Opportunity & Privacy ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ: FEQ427R342 Puede obtener más detalles sobre la naturaleza de esta vacante y lo que se espera de los solicitantes leyendo la información a continuación. Solutions Architect (Portuguese Speaking) Madrid Spain At the company, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data & Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: • Form successful relationships with clients throughout Portugal, providing technical and business value to the company customers in collaboration with Account Executives., • Operate as an expert in big data analytics to excite customers about the company. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the the company Data Intelligence Platform., • Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the the company community in the region by leading workshops, seminars, and meet-ups., • Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: • Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions., • Develop customer relationships and build internal partnerships with account executives and teams., • Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark., • Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s)., • Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth. Mandatory requirements: • Location: Based in the Madrid region (within a commutable distance for a hybrid schedule)., • Travel: Flexibility to travel (up to 50%, primarily for customer meetings in Portugal, events, and trainings)., • Languages: Native proficiency in Portuguese and Spanish, along with business fluency in English. About the company the company is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the the company Data Intelligence Platform to unify and democratize data, analytics and AI. the company is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow the company on Twitter, LinkedIn and Facebook. Benefits At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. xcskxlj Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

Experteer Overview In this role you will design end-to-end AI solutions for large enterprise clients, built on robust data pipelines and lakehouse architectures. You will work with cross-functional teams across Spain in the xTech Competence Centre, delivering production-ready AI systems and advancing RAG, embeddings and LLM integrations. You will contribute to internal AI activities, sharing accelerators and best practices. This is a hands-on, impact-driven position at the intersection of data engineering and cutting-edge AI. Compensaciones / Beneficios • Design and implement end-to-end AI solutions including data pipelines and lakehouse architectures • Build and deploy production-grade AI systems using LLMs and retrieval-augmented generation • Develop and optimize ETL/ELT pipelines and data workflows in Databricks and cloud environments • Integrate AI models into applications, APIs and business processes • Collaborate with cross-functional teams and contribute to internal AI community and accelerators • Model, evaluate and monitor AI systems, ensuring data quality and responsible AI principles Responsabilidades • Master's degree in a STEM field • Strong quantitative and analytical skills • Proficient in Python • Hands-on PySpark experience • Solid Databricks experience (notebooks, jobs, clusters, Delta Lake) • ETL/ELT design in lakehouse or cloud environments • Strong SQL and Postgres knowledge; data modeling and integration with AI workloads • Experience with structured and unstructured data; text, documents, images, etc. • Knowledge of Generative AI techniques and LLMs; open-source LLMs (preferably Qwen) • Experience with Retrieval-Augmented Generation, embeddings and vector search • Prompt engineering and LLM orchestration • API/data workflow integration; Git • Model evaluation, data quality, monitoring and responsible AI • Fluent in Spanish and English Requisitos principales • Growth u0026 Learning • Hybrid working model • Private health insurance • Parental leave benefits • Inclusive and ethical workplace • Wellness and meal vouchers

ppAt Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer‑centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. /ppAt Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer‑centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. /ppYou will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. /ppYou’ll work with a collaborative, customer‑focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. /ppJoin us in our quest to change how people work with data and make a better world! /ph3The Impact You Will Have /h3ulliForm successful relationships with clients throughout Spain, providing technical and business value to Databricks customers in collaboration with Account Executives. /liliOperate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. /liliScale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet‑ups. /liliGrow your knowledge and expertise to the level of a technical and/or industry specialist. /li /ulh3What We Look For /h3ulliEngage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions. /liliDevelop customer relationships and build internal partnerships with account executives and teams. /liliPrior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. /liliProficient with Big Data Analytics technologies, including hands‑on expertise with complex proofs‑of‑concept and public cloud platform(s). /liliExperienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth. /li /ulh3Mandatory Requirements /h3ulliThe location for the role should be in the Madrid region (i.e. within a commutable distance for a hybrid schedule). /liliFlexibility to travel (up to 30% as required for customer meetings, events and trainings). /liliBusiness proficiency in both Spanish and English required. /li /ulh3About Databricks /h3pDatabricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. /ph3Benefits /h3pAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. /ph3Our Commitment to Diversity and Inclusion /h3pAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. /ph3Compliance /h3pIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. /p /p #J-18808-Ljbffr

Cloud Engineer, Data Platforms Inscríbase ahora, lea los detalles del trabajo desplazándose hacia abajo. Verifique que posee las habilidades necesarias antes de enviar una solicitud. Location: Madrid, Spain | London, UK Employment Type: Full Time (Hybrid role) Key Responsibilities • Databricks platform engineering (Azure): Build, configure, and operate Databricks workspaces, clusters, policies, and supporting Azure services., • Production readiness: Enable a clear path to production environments, including operational processes, runbooks, incident response practices, and release readiness., • Pipeline reliability: Support and harden ETL/ELT pipelines (e.g., Delta Lake patterns), job orchestration, and workload performance tuning., • Automation & CI/CD: Implement infrastructure‑as‑code and CI/CD practices for Databricks and related Azure resources (e.g., Terraform, Bicep, Azure DevOps, GitHub)., • Security & access: Implement least‑privilege access, secrets management, identity integration, auditability, and compliance‑aligned controls in partnership with Security/ Governance., • Observability & operations: Improve logging, monitoring, and cost controls; diagnose and resolve platform/network issues affecting delivery., • Embedded delivery support: Participate in Madrid‑based team stand‑ups and planning; manage an agreed backlog of tasks that unblock AI for ALL and analytics delivery. Essential Requirements • Azure & Databricks expertise: Strong hands‑on experience operating Azure Databricks in enterprise settings; able to troubleshoot workspace, networking, and performance issues., • Engineering discipline: Comfortable with automation, CI/CD, IaC, and operational best practices., • Data platform fundamentals: Working knowledge of Spark, Delta Lake, Python and SQL; ability to partner effectively with data engineers, AI engineers and data scientists., • Operational mindset: Bias to reliability and delivery; able to triage issues quickly and communicate clearly across distributed teams., • Stakeholder collaboration: Works effectively across time zones and teams; able to translate requirements into actionable platform work., • 5+ years experience in cloud/platform engineering (preferably Azure)., • 2+ years hands‑on experience with Databricks (Azure Databricks strongly preferred)., • Candidates who do not meet the required years of experience may still be considered if they possess the following certifications:, • AZ‑900 (Azure Fundamentals), • AZ‑305 (Designing Azure Infra Solutions), • AZ‑104, AZ‑400 (DevOps Focused) and/or AI‑102 (AI) will be advantageous, • Experience with networking/security patterns in Azure (VNETs, private endpoints, Key Vault, managed identities, etc.)., • Experience with IaC (Terraform, ARM/Bicep) and CI/CD for platform and data workloads. Desired Skills • Familiarity with AWS/GCP concepts, • Experience with Unity Catalog, • Experience supporting data governance patterns and lineage/metadata tooling, • Familiarity with GenAI workload considerations. Additional Information AVEVA requires all successful applicants to undergo and pass a comprehensive background check before employment. Background checks will be conducted in accordance with local laws and may include, subject to those laws, proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, and credit checks. Equal Opportunity Employer AVEVA is an Equal Opportunity Employer. We are committed to providing an inclusive culture and a workplace environment where all employees are treated with dignity and respect. xqbhyrx Diversity and the expertise that people from different backgrounds bring to our business are valued. #J-18808-Ljbffr

Solutions Architect (Portuguese Speaking) Madrid Spain Madrid REQ: FEQ427 R342 Solutions Architect (Portuguese Speaking) Madrid Spain At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer‑centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user‑friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data & Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer‑focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: Form successful relationships with clients throughout Portugal, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. Scale best practices in your field and support customers by authoring reference architectures, how‑tos, and demo applications, and help build the Databricks community in the region by leading workshops, seminars, and meet‑ups. Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions. Develop customer relationships and build internal partnerships with account executives and teams. Prior experience with coding in a core programming language (i.E., Python, Java, Scala) and willingness to learn a base level of Spark. Proficient with Big Data Analytics technologies, including hands‑on expertise with complex proofs‑of‑concept and public cloud platform(s). Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth. Mandatory requirements: Location: Based in the Madrid region (within a commutable distance for a hybrid schedule). Travel: Flexibility to travel (up to 50%, primarily for customer meetings in Portugal, events, and trainings). Languages: Native proficiency in Portuguese along with business fluency in English. Fluency in Spanish is a plus. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, Linked In and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. Compliance If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U. S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

Ultra Tendency is a leading data and AI consultancy helping organizations accelerate digital transformation through modern data platforms, advanced analytics, and AI-driven solutions. As a trusted partner to enterprise customers across Europe, we specialize in delivering cloud-native data architectures and scalable solutions that unlock business value. Envíe su solicitud a continuación después de leer todos los detalles y la información de apoyo sobre esta oportunidad de trabajo. We are expanding our Databricks practice and are looking for an experienced Senior Databricks Consulting Engineer to work closely with our clients and delivery teams across EMEA. The Role As a Senior Databricks Consulting Engineer, you will serve as a trusted technical advisor and strategic partner to enterprise customers. You will guide organizations through their data and AI transformation journeys, helping them design, implement, and optimize modern data platforms built on Databricks. You will combine deep technical expertise with strong stakeholder management skills to ensure customers realize measurable value from their Databricks investments. Working alongside client teams, executives, engineers, and Ultra Tendency consultants, you will lead architecture decisions, promote best practices, and drive successful adoption of the Databricks Lakehouse Platform. This is a highly customer‑facing role requiring both hands‑on technical capability and executive-level communication skills. Key Responsibilities Customer Advisory & Architecture • Act as the primary technical advisor for strategic Databricks customers., • Design and review scalable data, analytics, and AI architectures leveraging the Databricks Lakehouse Platform., • Lead architecture workshops, solution design sessions, and technical roadmap discussions., • Translate business requirements into technical solutions and implementation plans., • Advise customers on platform modernization, cloud migration, data governance, and AI initiatives. Solution Delivery & Optimization • Support the successful implementation and adoption of Databricks solutions., • Review data engineering, analytics, machine learning, and GenAI workloads for scalability, performance, security, and cost optimization., • Identify and resolve technical blockers during customer engagements., • Drive architectural best practices for data pipelines, Lakehouse design, Unity Catalog, governance, and platform operations. Technical Leadership • Serve as a subject‑matter expert on Databricks capabilities and emerging data & AI technologies., • Mentor customer teams and Ultra Tendency consultants on architecture patterns and best practices., • Deliver executive presentations, technical workshops, and enablement sessions., • Contribute to reusable assets, reference architectures, and practice development initiatives. Business Development Support • Partner with sales and account teams during strategic customer engagements., • Support technical discovery, solution positioning, and proposal development., • Provide architecture guidance during pre‑sales and proof‑of‑concept activities., • Identify opportunities for platform expansion and increased customer value. Required Qualifications • 7+ years of experience in data engineering, cloud architecture, analytics, or related fields., • 3+ years working with Databricks in enterprise environments., • Strong expertise in modern data platform architecture and cloud‑native solutions., • Hands‑on experience designing and implementing Lakehouse architectures., • Strong knowledge of:, • Databricks Data Intelligence Platform, • Apache Spark, • Delta Lake, • Unity Catalog, • Data Governance & Security, • Data Warehousing and Lakehouse Design, • ETL/ELT Architectures, • Data Modeling, • Experience with at least one major cloud platform:, • Microsoft Azure (preferred), • AWS, • Google Cloud Platform, • Proficiency in:, • Python, • SQL, • Spark, • Experience engaging with executive stakeholders and technical leadership teams., • Excellent communication and presentation skills in English & Spanish. Preferred Qualifications • Databricks certifications such as:, • Databricks Certified Data Engineer Professional, • Databricks Certified Solutions Architect, • Databricks Certified Machine Learning Professional, • Experience with:, • Generative AI and LLM solutions, • MLflow, • MLOps, • Data Governance frameworks, • Data Mesh architectures, • Real‑time and streaming data platforms, • Experience in consulting or professional services environments. What Success Looks Like • Customers successfully adopt and scale Databricks solutions., • Complex technical challenges are resolved quickly and effectively., • Executive stakeholders view you as a trusted advisor., • Best practices are consistently applied across customer environments., • Customer satisfaction, platform utilization, and business outcomes improve measurably. Why Join Ultra Tendency? • Work with leading enterprise customers across Europe., • Be part of a rapidly growing Data & AI consultancy., • Access to cutting‑edge technologies in Data Engineering, Analytics, AI, and GenAI., • Opportunity to shape and expand Ultra Tendency's Databricks practice., • Continuous learning and certification support., • Flexible and remote‑friendly working environment., • Competitive compensation package., • Collaborative, entrepreneurial, and international culture. Eligibility Applicants must currently reside in Spain and possess the legal right to work in the country. xcskxlj Unfortunately, we are unable to provide relocation assistance or visa sponsorship for this position. #J-18808-Ljbffr

pp(CSQ327R106) /p /brpAs a DSA Manager, your role is to build and lead a team of Delivery Solution Architects (DSAs). You work in close collaboration with the Sales, Pre-Sales, FDE and Partners teams in the Southern Europe, Israel, Middle‑East and Africa (SEMEA, France excluded) region to shape the post‑sales delivery strategy for our major customers and will report to the SEMEA SSA DSA leader. /p /brpDSAs are collaborating with sales and field engineering teams to drive our customers’ adoption and growth. They are guiding complex customers to maximize platform value and ROI. This hybrid role combines commercial skills to foster customer relationships and drive growth, with technical expertise across all Databricks products. They are engaged at all organizational levels to drive the adoption. /p /brh3Your role will have 3 main pillars: /h3 /brul /brlibPeople /b: Hire, coach and support a diverse team able to ensure our customers’ success in their roadmap delivery /li /brlibBusiness /b: You will contribute to the growth of the region and to the investment/co‑investment positioning of your team with our customers /li /brlibLeadership /b: You will be the technical sponsor and thought leader for a number of selected customers. /li /br /ul /brpYou and your team will contribute to the creation of assets to build the Delivery Solution Architect practice to and improve effectiveness and consistency in working with customers. /p /brh3The impact you will have: /h3 /brul /brliManage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals (usage growth, career growth and hiring) /li /brliLead by example using our AI tooling to deliver C‑level thought leadership discussions with our customers /li /brliAssign accounts and distribute work across individuals for optimal customer coverage and team balance /li /brliInspire the team to be customer‑obsessed by understanding customer goals, their use cases, and Databricks technology /li /brliPartner with Sales, pre Sales and FDE teams to accelerate growth of customers /li /brliWork with teams to reduce customer risk and help your team with escalations. /li /brliLead team activities to monitor customer progress and forecast growth /li /brliProvide input to grow and improve internal processes and customer success service offerings /li /brliPromote cross‑functional programs, plans, documentation /li /br /ul /brh3What we look for: /h3 /brul /brli10+ years of experience in a customer‑facing role /li /brliExperience leading a team of pre or post‑sale consultants/solution architects, technical account managers or customer success engineers. /li /brliExperience in Cloud, Data, AI domains /li /brliExperience in putting workloads or data products into production and running them, e.g. in a delivery architect, project manager, DevOps, or service/product owner role. /li /brliConversant with business issues our customers face today and likely big data use cases in different industries /li /brliFluent in Italian and English. Additional language skills in the region will be advantageous. /li /brliBased in Milan, Paris or Madrid, in commutable distance to the office location in all 3 countries. /li /br /ul /brh3Pay Range Transparency /h3 /brpDatabricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits which can be accessed here. /p /brpItaly Pay Range €134.400 — €184.800 EUR /p /brh3About Databricks /h3 /brpDatabricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. /p /brh3Benefits /h3 /brpAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. /p /brh3Our Commitment to Diversity and Inclusion /h3 /brpAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. /p /brh3Compliance /h3 /brpIf access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. /p /p #J-18808-Ljbffr

ALTIA busca un Data Engineer Azure / Databricks para unirse a nuestro equipo de Data Analytics. En este puesto trabajarás en un proyecto estable a gran escala, desarrollando productos de datos dentro de la plataforma corporativa global y asegurando ETL/ELT eficientes.Se valora experiencia con Unity Catalog, Delta Lake y Databricks Certification, así como dominio de Python, PySpark y Azure Data Factory. Ofrecemos modelo híbrido o remoto, contrato indefinido y plan de formación continua.#J-18808-Ljbffr

ppLooking for a place to learn, grow, and evolve with the best in the field? If you want to be part of a mission-driven company, this is the place for you! /p pWe are growing our bPeople team /b and looking for someone to manage the bend-to-end payroll process in Spain. /b /p pWe'll get to the point; we'll tell you what's not on the web. If you want to know more about us go to GMV website. /p h3WHAT CHALLENGE WILL YOU BE TAKING ON? /h3 pIn our team you will be responsible for bmanaging the entire payroll process /b, ensuring compliance with all btax and legal regulations /b. Your responsibilities will include, among others, onboarding and offboarding new employees, payroll calculation and preparation, management of withholdings and wage garnishments, and responding to employee queries related to their payroll. /p pYour main responsibilities will be: /p ul liManagement of the full payroll process /li liEmployment law advisory related to payroll, withholdings, leave, etc. /li liProcessing Social Security transactions through the RED System: registrations, deregistrations, etc. /li liDrafting and management of employment contracts, management of sick leave (IT), contract changes, etc. /li liInterpretation of collective bargaining agreements and advising employees, including resolution of queries /li liManagement of employee benefits through payroll /li /ul h3WHAT DO WE NEED IN OUR TEAM? /h3 pWe are looking for a Payroll Specialist with a master’s degree in Labour Relations or similar, and experience in multinational companies with a high volume of employees. The main requirements are: /p ul liMore than 3 years of experience in payroll management in multinational companies or companies with a large workforce /li liKnowledge of the General Social Security Regime and Special Regimes /li liAdvanced Excel skills /li liProven experience with payroll management software and systems such as A3, Social Security systems, RED System, SILTRA, Contrat@, DELTA, tax settlements, personal income tax (IRPF), etc. /li liA high level of English (B2 or higher) will be highly valued /li /ul h3WHAT DO WE OFFER? /h3 ul liHybrid working model and 8 weeks per year of teleworking outside your usual geographical area. /li liFlexible start and finish times, and intensive working hours Fridays and in summer. /li liPersonalized career plan development, training and language learning support. /li liNational and international mobility. If you come from another country, we can offer you a relocation package. /li liCompetitive compensation with ongoing reviews, flexible compensation and discount on brands. /li liWellbeing program: Health, dental and accident insurance; free fruit and coffee, physical, mental and financial health training, and much more! /li liIn our recruitment processes you will always have telephone and personal contact, face-to-face or online, with our talent acquisition team. In addition, bank transfers and bank cards will never be requested. If you are contacted through any other process, please write to our team at /li liWe promote equal opportunities in recruitment, and we are committed to inclusion and diversity. /li /ul h3WHAT ARE YOU WAITING FOR? JOIN US /h3 pIf you have any questions please do not hesitate to contact bPablo Durán Álvarez /b, in charge of this vacancy. /p /p #J-18808-Ljbffr

ppAre you an expert in the world of data engineering with strong knowledge of Databricks, Snowflake, and dbt, and do you have a passion for sharing your expertise with other professionals? /p pDo you have the ambition to lead complex data engineering projects, support the growth of junior talent, and contribute to business development through pre-sales activities? /p pThen you are the person we are looking for! /p h3What will you do? /h3 pAs a Senior Data Engineer Training Lead, you will have a hybrid and strategic role within Nimbus Intelligence, with responsibilities ranging from technical consulting to training and commercial support. Specifically, you will be responsible for: /p h3Pre-Sales and Consulting /h3 ul liSupporting the commercial team in the pre-sales phase by analyzing client needs and proposing innovative technical solutions based on modern data platforms (Databricks, Snowflake) and scalable architectures. /li liParticipating in meetings with prospects and clients as a senior technical consultant, demonstrating the value proposition of our solutions. /li liContributing to the definition of technical proposals, architectures, and project estimates. /li /ul h3Delivery and Mentorship /h3 ul liActing as a senior consultant on the most complex data engineering projects, ensuring technical quality and excellence in implementation. /li liServing as a reference point and mentor for junior data engineers, guiding them in solving technical challenges and developing their skills. /li liConducting code reviews, defining best practices, and ensuring the adoption of high-quality standards. /li liSupporting the international team across different locations, sharing expertise and best practices. /li /ul h3Training and Academy /h3 ul liDesigning and updating the training program for Nimbus Academy for data engineers, with a focus on Databricks, Snowflake, dbt, and complementary technologies. /li liTeaching and training trainee groups in Italy, Spain, and other countries within the Nimbus group. /li liOrganizing knowledge-sharing sessions to keep the team up-to-date on the latest technological developments. /li liContributing to the growth of Nimbus Intelligence's brand awareness through events, webinars, and technical content. /li /ul h3Recruitment and Talent Development /h3 ul liParticipating in the recruitment process for new data engineers, creating technical assessments, and conducting interviews. /li liContributing to the definition of professional growth paths for the team. /li /ul h3What do we expect from you? /h3 h3Technical Skills /h3 ul liProven experience and strong knowledge in the field of data engineering. /li liExcellent knowledge of Databricks (lakehouse architecture, Delta Lake, Spark, Unity Catalog, Databricks SQL). /li liExcellent knowledge of Snowflake (data modeling, optimization, performance tuning, Snowpipe, Stream Tasks). /li liStrong experience with dbt (data modeling, testing, documentation, orchestration). /li liProven expertise in Python and SQL. /li liExperience in implementing modern data platforms and architectures (medallion architecture, data mesh, data vault, etc.). /li liKnowledge of ETL/ELT tools (Matillion, Alteryx, or similar) and cloud platforms (Azure, AWS, GCP). /li liFamiliarity with DataOps practices, CI/CD for data pipelines, and code versioning (Git). /li liExperience with data quality, data observability, and governance. /li /ul h3Professional Experience /h3 ul liAt least 5 years of experience in data engineering roles. /li liProven experience in consulting environments, with the ability to understand client needs and translate them into technical solutions. /li liExperience in designing and optimizing data warehouses, data lakes, and complex pipelines on Databricks and/or Snowflake. /li liA track record of success in training and transferring technical knowledge. /li /ul h3Soft Skills /h3 ul liExcellent communication and presentation skills, with clients and stakeholders at different levels. /li liMentoring attitude and passion for the growth of junior colleagues. /li liEntrepreneurial mindset, proactivity, and results-oriented. /li liAbility to work independently and manage multiple priorities. /li liEnthusiasm and the ability to inspire others. /li /ul h3Language Requirements /h3 ul liNative Italian or Spanish. /li liKnowledge of the other language (Italian or Spanish) is a plus. /li liExcellent knowledge of English (required). /li /ul h3What do we offer? /h3 pAt Nimbus Intelligence, you will find a dynamic and innovative environment where you will have the opportunity to grow professionally and contribute to the success of our team and clients. /p pIn addition, we offer: /p ul liCompetitive salary based on experience. /li liDedicated budget for Learning Development. /li liOpportunities to attend international conferences and industry events. /li liAn international work environment, with the possibility to travel to our offices in the Netherlands, Italy, and Spain. /li liHybrid work model with flexibility. /li liA young, ambitious, and collaborative team. /li liThe opportunity to make a difference in a fast-growing company. /li /ul h3Do you recognize yourself in this profile? /h3 pApply now and become part of Nimbus Intelligence! /p pOur organization operates with a commitment to gender equality and inclusivity, promoting diversity. /p /p #J-18808-Ljbffr

103751 | Data & AI | Professional | Non-Executive | Allianz Services | Full-Time | Permanent130 years of trust, time to shape what's next. Allianz Group is one of the world's leading insurers and asset managers - built on over a century of stability, expertise, and financial strength. Allianz Services is where that legacy meets the future. 8,200 people. Eight countries. Three continents. We deliver specialized services to clients within Allianz Group, powered by AI, advanced analytics, and a mindset that refuses to stand still. From core insurance operations to engineering and consulting services, we reimagine how insurance works. What truly sets us apart are our people and the trusted partnerships we build, anchored in our values of expertise, integrity, and empowerment. We don't support the business. We shape it.Role OverviewWe are looking for a Data Architect (m/f/d) to join Allianz Services Spain, contributing to the Data & AI Service through the definition of architecture standards, reference designs, and data platform blueprints. The role focuses on defining, documenting and governing modern data architectures across platforms, data products, data governance, and AI integration, aligned with Allianz Group standards.What You Do- Define and maintain architecture standards, blueprints and reference architectures aligned with Group Data strategy. Produce clear and actionable architectural documentation (principles, guardrails, patterns) for engineering and data teams.- Translate complex architecture topics into consumable guidance for technical and business stakeholders and design modern data platform architectures (e.G., lakehouse, data mesh, self-service data platforms).- Define end-to-end data flows from ingestion to consumption (BI, analytics, AI), contribute to standardization of Azure-based data platforms and cloud-native architectures and define integration patterns for data catalogues, lineage and governance tooling; Ensure alignment with data governance frameworks, data quality and compliance requirements.- Support definition of monitoring and telemetry patterns for data reliability and compliance and define standards for data products, including data contracts, quality controls, and lifecycle management.- Support implementation patterns for reusable and interoperable data products to contribute to cross-entity data sharing models and architectural guardrails.- Define architectural patterns for integrating data platforms with AI/ML and GenAI solutions whilst also making sure data products are AI-ready (APIs, semantic layers, interfaces); Contribute to responsible AI and governance-aligned architecture principles.- Provide architectural guidance to engineering teams and stakeholders within Allianz Services delivery model.What You Bring- University degree in Data Science, Data Engineering, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience) with 5--8 years of hands-on experience in data architecture, data engineering, or enterprise architecture roles.- Strong command of modern data platform architectures (Data Mesh, Data Lakehouse, medallion architecture, event-driven patterns) and practical experience with cloud-native data platforms (Databricks and/or Microsoft Fabric strongly preferred).- Experience designing and governing Data Products (data contracts, output ports, semantic versioning, quality gates, lineage), familiarity with enterprise data governance frameworks (DAMA-DMBOK, TOGAF or equivalent) and their practical application.- Understanding of regulatory data requirements relevant to financial services or insurance (DORA, IFRS 17, Solvency II awareness welcomed). Working knowledge of Open Table Formats (Delta Lake, Apache Iceberg) and their role in enterprise storage standards.- Experience with data cataloguing and governance tooling (e.G., Informatica IDMC, Unity Catalogue, or comparable platforms) and an understanding of how Data Products connect to AI/ML pipelines, GenAI applications, and agentic systems.- Awareness of API and integration standards (REST, OpenAPI, MCP-- Model Context Protocol, event-streaming such as Kafka/AsyncAPI); Comfortable presenting architectural concepts and facilitating discussions with architects, engineers, and stakeholders within a structured delivery model.- Strong written communication skills with ability to produce clear, structured, and high-quality architectural documentation, collaborative working style with ability to operate in a matrixed, multinational organization.- We highly welcome candidates with a genuine interest and affinity for Information Technology (IT) and Generative Artificial Intelligence (GenAI), as these attributes are considered valuable assets to our team.What We Offer- We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad.- We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).- From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.- Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach.About AllianzAllianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer.We are united by a shared commitment: to put our customers first and at the center of everything we do. Their needs inspire our thinking and guide our actions.Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future -- for our customers and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of ethnicity or cultural Internal background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.Join us. Let's care for tomorrow.#J-18808-Ljbffr