Trabajos informatica en Rosas - Page 2Crear alertas

Atradius provides Trade Credit Insurance, Surety, and Collections services worldwide, with a strategic presence in over 50 countries. Our products help protect companies from payment risks associated with selling goods and delivered services. Atradius, a global leader in credit insurance, is part of GCO (Grupo Catalana Occidente), one of Spain’s leading insurers. The Information Technology Services (ITS) division is responsible for providing IT solutions across the Atradius Group. Within ITS, the ITS Finance unit is responsible for maintaining, supporting, and continuously enhancing the Group’s applications across the Finance and Risk domains for operational (Oracle EBS / Financials, Hyperion, Reinsurance, SAP Concur, …) and regulatory (IFRS 17, Solvency II, SAF-T, ….) purposes. The team works closely with Finance, Risk, Infrastructure, Data, and other ITS teams to ensure that systems are reliable, scalable, secure, compliant, and aligned with business needs. We are seeking a Finance Systems Analyst to join the ITS Finance team. The role is aimed at someone who combines strong business analysis capabilities with a solid understanding of finance systems, data, and technical delivery processes. The Finance Systems Analyst acts as a bridge between business stakeholders and technical teams. The person works closely with Finance, Risk, Compliance, and other business areas to understand business needs, analyse existing systems and data, translate requirements into clear functional and technical specifications, and support developers and infrastructure colleagues in delivering effective solutions. The ideal candidate has experience with finance systems, preferably within an insurance or financial services environment. They should be comfortable discussing business processes with non-technical stakeholders, while also being able to investigate system behaviour, analyse data flows, review application logic, and explain requirements clearly to developers, database specialists, integration teams, and infrastructure colleagues. • Analyse business processes and translate them into clear functional requirements, user stories, specifications, and acceptance criteria., • Analyse data to support issue investigation, change analysis, reconciliation, and solution design., • Investigate existing finance systems, data flows, interfaces, and reporting processes to determine the impact of requested changes., • Work with developers to explain business requirements, clarify expected system behaviour, validate technical designs, and follow up on implementation progress., • Collaborate with other ITS teams on environment, performance, connectivity, scheduling, deployment, and operational topics., • Support delivery processes including backlog refinement, test coordination, defect follow-up, and release preparation., • Support testing activities, including test scenario definition, system integration testing, user acceptance testing, and defect analysis., • Help ensure that delivered solutions are robust, maintainable, compliant, and aligned with finance system architecture and operational standards., • Maintain clear documentation of requirements, process flows, data mappings, system behaviour, decisions, and implemented changes., • Act as a trusted point of contact between business stakeholders and technical delivery teams., • Proven experience as a Business Analyst, Systems Analyst, Functional Analyst, or similar role in a finance systems environment., • Experience with Oracle Financials EBS and/or Oracle Fusion is desirable., • Understanding of finance processes such as general ledger, accounts payable, accounts receivable, procurement, expense management, financial reporting, reconciliations, or regulatory reporting., • Experience in the insurance or financial services industry is highly advantageous., • Experience with regulatory or finance reporting topics such as IFRS 17, Solvency II is a plus., • Ability to understand business needs, challenge assumptions, identify gaps, and translate requirements into practical system changes., • Strong ability to document requirements, process flows, data flows, interface specifications, and acceptance criteria., • Strong analytical skills and the ability to investigate system and data issues across multiple applications and platforms., • Good understanding of relational databases, preferably Oracle Database., • Ability to analyse data using SQL or similar query tools., • Experience with ETL, data integration, or reporting platforms is highly desirable., • Knowledge of Informatica and/or Databricks is a plus., • Familiarity with ERP integrations, batch processes, interfaces, file exchanges, APIs, and data reconciliation concepts., • Experience with finance-related applications such as Basware, Cupra, Hyperion Suite, or similar systems is an advantage., • Understanding of software delivery lifecycle practices, including requirements management, testing, release management, and production support., • Familiarity with Azure DevOps, backlog management, user stories, defects, repositories, and CI/CD pipelines is desired., • Ability to communicate effectively with infrastructure, database, integration, and application teams on technical topics such as environments, connectivity, scheduling, access, performance, and deployments., • Fluency in English is a must; proficiency in Spanish is a plus., • Willingness to travel approximately 10%., • a great and challenging place to work - dynamic, transparent and informal, • an environment for our people where they can realise professional growth, • work in a very international working place Attractive terms and conditions: salary in line with market conditions, bonus and pension scheme The success of our organisation stands with the quality of our people and the ideas they have. Insights and innovative solutions for our customers are the result of an interplay of cultures, knowledge and experience. That is why diversity is extremely important to Atradius. To ensure that all colleagues within Atradius can develop their qualities, we promote an inclusive culture in which everyone feels involved and valued. We encourage and welcome everyone to apply to our positions. Cleo GLERUM, Human Resources, is available by e-mail at Cleo.Glerum@atradius.com. Get to know Atradius colleagues in this video: https://www.youtube.com/watch?v=NnsgT04OpTU&t=4s Atradius is a global provider of credit insurance, bond and surety, collections and information services, with a strategic presence in over 50 countries. The products offered by Atradius protect companies around the world against the default risks associated with selling goods and services on credit. Atradius is a member of Grupo Catalana Occidente (GCO.MC), one of the largest insurers in Spain and one of the largest credit insurers in the world. You can find further information on our website: https://group.atradius.com Netherlands, Amsterdam, Spain, Madrid #J-18808-Ljbffr

placeholder for LinkedIn job wrapping Today, markets face a whole new set of pressures – but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change. Employer: DWS Group Title: Data Integration Lead, Vice President Location: Madrid Job Code: placeholder for LinkedIn job wrapping Today, markets face a whole new set of pressures – but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change. Join us at DWS, and you can be part of an industry-leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment. We're looking for creative thinkers and innovators to join us as the world continues to transform. As whole markets change, one thing remains clear; our people always work together to capture the opportunities of tomorrow. As investors on behalf of our clients, it is our role to find investment solutions. Ensuring the best possible foundation for our clients’ financial future. And in return, we’ll give you the support and platform to develop new skills, make an impact and work alongside some of the industry’s greatest thought leaders. This is your chance to achieve your goals and lead an extraordinary career. This is your chance to invest in your future. Read More About DWS And Who We Are Here. DWS Corporate Functions Technology operates across a hybrid landscape of DWS-managed applications, Deutsche Bank-provided technology services, cloud platforms, SaaS solutions and enterprise integration services. This role offers a unique opportunity to help shape and implement the strategic future-state technology landscape for DWS Corporate Functions globally, working across cloud, on-premise, SaaS and enterprise platforms in a regulated asset management environment. The Data Integration Lead will be responsible for defining and delivering the data integration architecture required to support this transformation. The role will provide technical leadership across cloud and hybrid technology ecosystems, ensuring that data can move securely, reliably and efficiently between strategic platforms, enterprise services and business-critical applications. • Define and evolve the enterprise data integration architecture and roadmap for DWS Corporate Functions across cloud-native, hybrid, SaaS and on-premise ecosystems., • Lead architectural decisions for strategic integration scenarios, including GCP-to-GCP, GCP-to-on-premise, application-to-application, batch, real-time, event-driven, API-led and CDC-based data integration., • Establish standards, frameworks, reusable patterns and best practices for data ingestion, transformation, enrichment, distribution and integration across strategic platforms., • Drive modernisation from legacy ETL platforms towards cloud-native integration services, ensuring migration choices are pragmatic, controlled and aligned to DWS architecture, risk and operational resilience expectations., • Provide technical governance and design assurance across major initiatives, challenging solution designs where needed and ensuring alignment with agreed architecture principles and engineering standards., • Lead the design of near real-time and real-time data processing solutions, including streaming pipelines, low-latency feeds and event-driven services where these are the right architectural fit., • Oversee the design of reliable, scalable and observable data feeds for market, reference, position, transaction, investment and operational data., • Provide hands-on technical leadership for strategic initiatives, including design reviews, proof-of-concept work, complex issue resolution and guidance on implementation quality., • Partner with engineering teams, platform owners, architects and business stakeholders to ensure integration solutions are secure, resilient, scalable and operationally supportable., • Mentor engineering teams and promote engineering excellence, including DevOps, CI/CD, automation, observability, documentation and platform modernisation practices., • Own technology risk, controls, architecture review outcomes and operational stability for integration solutions within the role’s scope., • Provide clear updates, recommendations and technical leadership to senior management on integration strategy, delivery progress, risks and key decisions., • 10+ years' experience in data integration, ETL, enterprise data engineering or integration architecture, with evidence of operating at senior technical leadership level., • Strong practical understanding of Google Cloud Platform services relevant to data engineering and integration, including GCS, BigQuery, Pub/Sub, Dataflow, Cloud Composer, Cloud Run, Cloud Functions and Kubernetes., • Hands-on experience with enterprise integration and data movement platforms such as StreamSets, Informatica PowerCenter / IICS, uFlow or comparable workflow orchestration technologies., • Proven experience architecting and delivering streaming data pipelines using technologies such as Kafka, Pub/Sub, Dataflow, Spark Streaming or comparable event streaming platforms., • Strong understanding of event-driven architecture, message-based processing, API-led integration, microservices-based data exchange, and CDC patterns., • Experience designing enterprise integration frameworks, reusable components, data ingestion patterns, transformation services and distribution platforms., • Experience designing high-volume enterprise data feeds and low-latency data processing solutions in complex hybrid-cloud environments., • Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs., • Strong engineering capability in at least one modern programming language, preferably Python, with the ability to review, guide and challenge implementation quality., • Good understanding of data modelling, metadata management, data quality, data lineage and master data management concepts., • Experience with Agile, DevOps, CI/CD, cloud-native design and operational observability practices., • Experience working in regulated financial services, preferably within Banking, Asset Management or Wealth Management., • Understanding of Asset Management business processes and data domains would be advantageous., • Bachelor’s or Master’s degree in Computer Science, Engineering or a related discipline, or equivalent practical experience., • Relevant cloud, data engineering or integration architecture certifications would be advantageous. At DWS we’re serious about diversity, equity and creating an inclusive culture where colleagues can be themselves and it’s important to us that you enjoy coming to work – feeling healthy, happy and rewarded. At DWS, you’ll have access to a range of benefits which you can choose from to create a personalised plan unique to your lifestyle. Whether you’re interested in healthcare, company perks, or are thinking about your retirement plan, there’s something for everyone. DWS’ Hybrid Working model is designed to find the right balance between in-person collaboration and engagement in the office, which is core to our working culture, and working from home. Each business group varies on the split between time spent in the office and at home, but this will be discussed and made clear as part of your application and interview process. We will continue to review and evolve our working environments and methods to ensure that we are working in the best way possible for our people. If you require any adjustments or changes to be made to the interview process for any reason including, or related to a disability or long-term health condition, then please contact your recruiter and let them know what assistance you may need. Examples of adjustments include providing a change to the format of the interview, or providing assistance when at the DWS office. This will not affect your application and your recruitment team will discuss options with you. We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. #J-18808-Ljbffr

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! We are looking for a Solution Architect to lead the technical design of a large-scale GCP data platform for an enterprise telecommunications client. You will define a lakehouse and medallion architecture using BigQuery, Dataflow, and Pub/Sub, working as an independent technical voice alongside senior client architects. The role starts part-time and scales to full-time. • Design and own the target-state lakehouse/medallion architecture for a multi-petabyte GCP data platform (BigQuery, GCS, Dataflow, Pub/Sub) supporting thousands of pipelines and hundreds of thousands of tables., • Translate transformation goals into scalable, secure architecture decisions and delivery roadmaps, working directly with architects and engineering leadership., • Define architecture for ingestion, transformation, curation, dataset registration/cataloging, governance, and analytics-serving layers (BigQuery as serving layer, dbt/Looker for transformation and reporting)., • Advise on migration strategy for legacy ETL pipelines - including undocumented, proprietary legacy tooling - into modern GCP-native or open lakehouse patterns., • Evaluate and help select ingestion/transformation tooling (e.g. Fivetran, dbt, Airflow/Composer, NiFi) as part of ongoing technology proofs of concept., • Define data governance and cataloging strategy aligned with GCP's native catalog capabilities (e.g. Dataplex, BigQuery universal catalog), including metadata, lineage, and access-control design., • Act as senior technical reviewer for the squad's engineers, ensuring architectural consistency, security compliance, and long-term maintainability., • Present and validate architecture decisions to executives, enterprise architecture teams, and security stakeholders., • Operate within a controlled toolchain and security constraints, including approved AI-assisted development environments., • 10+ years of experience in data architecture, solution architecture, or enterprise systems architecture., • Strong, hands-on experience architecting data platforms on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, GCS) at enterprise / multi-petabyte scale., • Proven experience designing lakehouse or medallion architectures (bronze/silver/gold layering or equivalent)., • Experience advising on or leading migration of legacy ETL/data platforms to modern cloud-native architectures., • Strong understanding of data ingestion and transformation tooling such as Fivetran, dbt, Apache Airflow/Composer., • Experience working directly with enterprise clients as a trusted technical advisor, able to challenge and be challenged by client architects rather than simply execute a defined scope., • Comfortable operating inside a large, security-conscious enterprise with a controlled toolchain, including adapting to approved rather than personally preferred AI-assisted development tools., • Excellent communication and presentation skills — able to explain complex architecture to technical, business, and executive audiences., • Willingness to travel occasionally (a few days at a time) to the UK office., • Experience with BigLake / Iceberg-based lakehouse patterns., • Experience with Google Dataplex or BigQuery's universal data catalog., • Familiarity with legacy ETL platforms such as Ab Initio, Informatica, or similar proprietary tools, particularly reverse-engineering pipelines built on them., • Experience with AI-assisted, spec-driven development tools such as Amazon Kiro or comparable environments., • Telecommunications sector experience (not required, but relevant given the scale)., • Experience working within Scrum/SAFe delivery frameworks., • Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps., • Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities., • A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands., • Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Each step helps us understand your skills and overall fit. If it's a match, you'll receive an offer. #J-18808-Ljbffr

DataSpurs S.L. en Madrid busca un Data Engineer para área de Integración de datos, participando en el ciclo completo de ingesta, modelado y orquestación de flujos en entornos Cloud o híbridos. Trabajará junto a un equipo senior, con tecnologías como Informatica Cloud y herramientas de ETL, enfocándose en mejorar procesos y estructuras de datos. Ofrecen flexibilidad de teletrabajo, horario flexible, inglés financiado y beneficios como seguro médico y cheque restaurante. #J-18808-Ljbffr

Accenture, reconocida como Great Place To Work®, una compañía líder mundial en servicios profesionales que ayuda a las principales empresas, administraciones públicas y otras organizaciones del mundo a desarrollar su core digital, optimizar sus operaciones, acelerar el crecimiento de sus ingresos y mejorar los servicios para los ciudadanos, creando valor tangible a velocidad y escala. Buscamos un perfil de SAP Data Migration Consultant con experiencia avanzada en migración de datos en entornos SAP S/4HANA, que quiera participar en programas de transformación digital de gran complejidad. Tendrás un rol clave interactuando con negocio y cliente, liderando procesos de migración en proyectos de implementación y roll out a gran escala. El puesto se desempeña en España en un modelo de trabajo híbrido realizando algunos días desde tu casa y otros en la oficina donde podrás crear interesantes sinergias con el resto de tu equipo. Funciones: Diseño y ejecución de estrategias de migración de datos en proyectos SAP S/4HANA utilizando herramientas como SAP Migration Cockpit, LTMOM o ETL externas. Análisis, limpieza y transformación de datos legacy asegurando su calidad y consistencia antes de la carga en SAP. Definición de reglas de transformación y mapeos funcionales en colaboración con negocio. Ejecución de ciclos de migración (mock loads, validaciones, cutover) y soporte durante el go-live. Liderar el proceso end-to-end de migración de datos en proyectos de implantación y roll out SAP. Actuar como punto de contacto con negocio y cliente para definir requisitos de datos y validar resultados. Coordinar actividades de migración con equipos funcionales, técnicos y de integración. Asegurar la calidad, integridad y trazabilidad de los datos migrados mediante controles y validaciones. Requisitos imprescindibles: Mínimo 5 años de experiencia en proyectos de migración de datos en SAP. Experiencia en al menos 2 proyectos de implantación o roll out en SAP S/4HANA con migración de datos. Mínimo 2 años de experiencia utilizando herramientas de migración como SAP Migration Cockpit, LTMOM o soluciones ETL. Experiencia mínima de 2 años en definición de validaciones de datos, reconciliación y control de calidad. Nivel de inglés mínimo B2 en conversación profesional. Grado universitario en Ingeniería Informática, Telecomunicaciones, ADE o áreas afines. Alternativamente, mínimo 4 años adicionales de experiencia en migración SAP como equivalencia. Requisitos valorables: Experiencia mínima de 1 año en herramientas de integración o ETL avanzadas (SAP Data Services, Informatica, Talend). Experiencia mínima de 1 año en proyectos internacionales o despliegues multi-país. Experiencia mínima de 1 año trabajando con metodologías ágiles (Scrum, SAFe). Experiencia en coordinación de equipos o liderazgo de streams de migración durante al menos 1 año. Certificaciones SAP relacionadas con S/4HANA o Data Migration. Se requiere conocimientos y experiencia en el uso de inteligencia artificial generativa y herramientas de IA aplicadas al puesto de trabajo, en línea con la apuesta de Accenture por un uso responsable y efectivo de la IA. Otros beneficios como: Seguro médico, de Vida y accidentes Servicio médico y programas de bienestar Programa de retribución flexible y compra de acciones Programas de flexibilidad (horaria, de días libres, vacaciones...) Itinerario formativo individualizado Programas de sostenibilidad y Fundación Accenture Red de empleados por la diversidad Oficina Bankinter con condiciones especiales y reparto de beneficios Senior SAP Data Migration Consultant SAP Data Migration Specialist S/4HANA SAP Data Migration Lead Consultant Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com Creemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive. Grow. Thrive. Join a great place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture #J-18808-Ljbffr

DataSpurs es Partner Platinum en España y Portugal de Informatica LLC. Con un equipo liderado por personas con una dilatada trayectoria reconocida dentro del sector, como compañía se centra en su único ámbito de actuación en el que es especialista: Data. En DataSpurs defendemosuna alta especialización para la definición, desarrollo e implantación de soluciones en el ámbito de Big Data, Data Governance y Cloud Data Management, especialmente con productos de la Plataforma Informatica. Data Governance Senior Consultant (híbrido) Nuestro modelo de negocio está centrado en la realización de acciones puramente de consultoría estratégica en cliente final; nuestro crecimiento no viene determinado por la asignación de consultores a clientes, sino por la incorporación de personas a un equipo interno que contribuyan a desarrollar conocimiento y soluciones que posteriormente serán implantadas en cliente para dar respuesta a esas acciones de consultoría estratégica. Debido al proceso de desarrollo interno que DataSpurs está atravesando, en la actualidad queremos ampliar el equipo en nuestras oficinas de MADRID con un perfil DATA ENGINEER para el área de Integración de datos. • _FUNCIONES: Integrados en un equipo técnico senior, participarán activamente en el ciclo de vida completo de la puesta en marcha de iniciativas de tratamiento de datos en Cloud o híbridas, incluyendo diseño de soluciones y prototipos, implementación y apoyo a la producción. Además de participar en la toma de requerimientos y colaborar en el análisis funcional y técnico del proyecto, entre otras funciones, intervendrá en: · desarrollo de procesos de ingesta y colaboración en la definición de modelos de datos · intervención directa en la definición de los flujos/workflows de ingesta de información y de su posterior estructuración/almacenamiento · construcción de flujos de datos: diseño y desarrollo de soluciones ETL basadas en Informatica Cloud (diseño de mappings y taskflows, automatización de ejecuciones, scripting) · diseño y ejecución de pruebas en los diferentes entornos de procesos de integración · modernización de soluciones tradicionales de Data Warehousing o Data Lakes a entornos Cloud • _REQUISITOS: · experiencia previa demostrable con soluciones de integración (implementación y desarrollo de ETLs, programación de procesos), idealmente con herramientas como PowerCenter, IDMC, BDM, DEI, DBT, Data Factory, Talend o similares · deseable participación en proyectos con soluciones On-premise y Cloud · conocimientos de SQL y bases de datos relaciones o NoSQL (Oracle, Hive, sybaseIQ) _IMPORTANTE: -CERTIFICACIONES: debido al nivel de partnership que mantenemos y el expertise ofrecido, se mantiene un programa de certificaciones muy activo ayudando al equipo a obtener las certificaciones necesarias • _¿POR QUÉ DATASPURS?: [· proyectos sin intermediarios; contratación absolutamente estable]() · proyectos tecnológicamente punteros y de alta especialización en el área de Data Management · trabajo híbrido (con modalidad teletrabajo) y flexibilidad horaria · programa de inglés individualizado y 100% financiado por la compañía · entorno de trabajo con calidad y calidez, en contenido y forma · retribución flexible (cheques restaurant, seguro médico, cheque guardería) · desarrollo profesional personalizado, considerando los intereses y motivaciones de cada persona · ambiente de trabajo: informal a la vez que altamente profesional y competente DATASPURS está comprometida con la diversidad, la inclusión y la igualdad de trato, promoviendo una política transparente de atracción, selección y contratación que garantice la igualdad de oportunidades a todos los candidat@s, sin hacer ninguna exclusión por motivos de sexo, edad, raza u otra condición no relacionada con el buen desempeño del puesto que se desea cubrir. #J-18808-Ljbffr

En VISEO nos diferenciamos por la participación en proyectos innovadores de soluciones Cloud, usando tecnologías Microsoft con Azure y Data Analytics. Esta es una excelente oportunidad para un Azure Data Engineer con 4 o 5 años de experienciaque quiera dar el salto en su carrera y forma parte de una multinacional presente en los 5 continentes. • Ingesta y orquestación de datos con Azure Data Factory (ADF)., • Procesamiento de datos a gran escala con Databricks (Python, Scala, SQL, Sparks), • Automatización, CI/CD, Y control de versiones con Azure devOps., • Dominio del ecosistema Azure; (Synapse Analytics, Azure Functions, Azure Key Vault), • Conocimientos de Data Lake, Data Warehouse y modelado de datos., • Diseño, desarrollo y optimización de pipelines de datos escalables., • Conocimientos de Data Governance, seguridad y calidad del dato., • Estudios de ingenieria informatica, matematicas o campos relacionados., • Conocimientos del ecosistema Azure a nivel avanzado;Databricks, Azure Data Factory (ADF), devOps, Data Lake, Azure Functions, Key Vault)., • Experiencia en programación Python, C# y SQL., • Conocimiento de herramientas de orquestación de flujos de trabajo., • Nivel de inglés alto hablado y escrito., • Oportunidad de incorporarte en una empresa pionera a nivel tecnológico., • Formación continua técnica y competencial., • Contrato en plantilla con plan de carrera., • Beneficios sociales., • Conciliación familiar y laboral gracias a la flexibilidad y la posibilidad de teletrabajo, beneficios sociales, bonos económicopor certificaciones. VISEO apuesta por la diversidad a todos los niveles. Contamos con oportunidades de carrera para profesionales con discapacidad. Nos gustaría conocerte. Se valorará positivamente estar en posesión de Certificado de Discapacidad del 33% o superior. Tendrás las siguientes responsabilidades en seguridad dentro de la compañía: • Acceso a la información confidencial relativa al cliente del que es responsable., • Solicitud de medidas / usuarios., • Observancia del cumplimiento de las políticas de seguridad y las políticas internas. #J-18808-Ljbffr

DataSpurs es Partner Platinum en España y Portugal de Informatica LLC. Con un equipo liderado por personas con una dilatada trayectoria reconocida dentro del sector, como compañía se centra en su único ámbito de actuación en el que es especialista: Data. En DataSpurs defendemosuna alta especialización para la definición, desarrollo e implantación de soluciones en el ámbito de Big Data, Data Governance y Cloud Data Management, especialmente con productos de la Plataforma Informatica. Nuestro modelo de negocio está centrado en la realización de acciones puramente de consultoría estratégica en cliente final; nuestro crecimiento no viene determinado por la asignación de consultores a clientes, sino por la incorporación de personas a un equipo interno que contribuyan a desarrollar conocimiento y soluciones que posteriormente serán implantadas en cliente para dar respuesta a esas acciones de consultoría estratégica. Debido al proceso de desarrollo interno que DataSpurs está atravesando, en la actualidad queremos ampliar el equipo en nuestras oficinas de MADRID con un perfil DATA ENGINEER para el área de Integración de datos. • _FUNCIONES Integrados en un equipo técnico senior, participarán activamente en el ciclo de vida completo de la puesta en marcha de iniciativas de tratamiento de datos en Cloud o híbridas, incluyendo diseño de soluciones y prototipos, implementación y apoyo a la producción. Además de participar en la toma de requerimientos y colaborar en el análisis funcional y técnico del proyecto, entre otras funciones, intervendrá en: desarrollo de procesos de ingesta y colaboración en la definición de modelos de datos intervención directa en la definición de los flujos/workflows de ingesta de información y de su posterior estructuración/almacenamiento construcción de flujos de datos: diseño y desarrollo de soluciones ETL basadas en Informatica Cloud (diseño de mappings y taskflows, automatización de ejecuciones, scripting) diseño y ejecución de pruebas en los diferentes entornos de procesos de integración modernización de soluciones tradicionales de Data Warehousing o Data Lakes a entornos Cloud • _REQUISITOS experiencia previa demostrable con soluciones de integración (implementación y desarrollo de ETLs, programación de procesos), idealmente con herramientas como PowerCenter, IDMC, BDM, DEI, DBT, Data Factory, Talend o similares deseable participación en proyectos con soluciones On-premise y Cloud conocimientos de SQL y bases de datos relaciones o NoSQL (Oracle, Hive, sybaseIQ) IMPORTANTE: CERTIFICACIONES: debido al nivel de partnership que mantenemos y el expertise ofrecido, se mantiene un programa de certificaciones muy activo ayudando al equipo a obtener las certificaciones necesarias • _¿POR QUÉ DATASPURS?: proyectos sin intermediarios; contratación absolutamente estable proyectos tecnológicamente punteros y de alta especialización en el área de Data Management trabajo híbrido (con modalidad teletrabajo) y flexibilidad horaria programa de inglés individualizado y 100% financiado por la compañía entorno de trabajo con calidad y calidez, en contenido y forma retribución flexible (cheques restaurant, seguro médico, cheque guardería) desarrollo profesional personalizado, considerando los intereses y motivaciones de cada persona ambiente de trabajo: informal a la vez que altamente profesional y competente DATASPURS está comprometida con la diversidad, la inclusión y la igualdad de trato, promoviendo una política transparente de atracción, selección y contratación que garantice la igualdad de oportunidades a todos los candidat@s, sin hacer ninguna exclusión por motivos de sexo, edad, raza u otra condición no relacionada con el buen desempeño del puesto que se desea cubrir #J-18808-Ljbffr

Indra Group, Tech for the future. Impulsamos la transformación digital con impacto, gracias a la tecnología avanzada, el conocimiento sectorial y el talento global. ¡Únete a nuestro equipo de Datos, Inteligencia Artifical y Robots! Ser parte de nuestro equipo de Datos, Inteligencia y Robots es más que un desafío: es una oportunidad única para transformar el poder de los datos en una fuerza que deje una huella significativa en la sociedad. Aprovechamos el potencial de 3.160 millones de usuarios hiperconectados, utilizando herramientas de Big Data para crear un futuro mejor y generar un impacto real. Además, en nuestro equipo tenemos el conocimiento y la experiencia para hacer de la IA una herramienta multiplicadora del razonamiento humano, generando impacto en los negocios, en la ciudadanía y en la preservación de nuestro ecosistema. ¿Qué harás? • Desarrollar y mantener procesos automatizados para una plataforma de Gobierno del Dato., • Implementar y automatizar cargas de información en Informatica IDMC., • Participar en el diseño, desarrollo, despliegue y ejecución de soluciones backend y frontend., • Integrar la plataforma con distintas herramientas del ecosistema de datos., • Colaborar en la evolución y mejora continua de los procesos, métricas, dashboards y automatizaciones del entorno. ¿Qué buscamos en ti? • Experiencia mínima de 5 años como Desarrollador/a Full Stack participando en proyectos de desarrollo e integración de aplicaciones., • Experiencia en proyectos relacionados con la gestión, integración, calidad o gobierno del dato., • Conocimientos sólidos de Python y desarrollo de APIs REST., • Experiencia trabajando en entornos Cloud, preferiblemente AWS., • Experiencia o conocimientos en herramientas de integración y analítica de datos como IDMC, MicroStrategy/Strategy API o similares. Lo que te ofrecemos • Estabilidad y Futuro : Proyectos a largo plazo en una empresa líder en tecnología con más de 50.000 profesionales, con seguridad financiera., • Proyectos Innovadores y de Alto Alcance : Trabajarás con tecnologías de vanguardia, con un impacto tanto a nivel nacional como internacional., • Ambiente Cercano y Transparente : Disfrutarás de una comunicación directa y fluida con responsables y compañeros/as, en un entorno colaborativo y abierto., • Autonomía y Flexibilidad : Tendrás libertad para organizar tu trabajo, con una conciliación real y adaptada a tu ritmo., • Plan de carrera adaptado a ti : Diseñado para impulsar tu crecimiento y desarrollo profesional., • Formación continua : en Open University y Udemy for Business (¡más de 6.000 cursos para especializarte!)., • Descuentos exclusivos para tu bienestar : Disfruta de ventajas en gimnasios, restaurantes, tiendas, ocio y mucho más al ser empleado de Indra., • Retribución competitiva y planes de compensación flexibles a tus necesidades. ¿Cómo es nuestro proceso de selección? • Revisión de tu perfil : Evaluamos tu experiencia y habilidades para determinar si encajas con lo que buscamos., • Primera toma de contacto (5-10 min) : Si recibes una llamada de un número desconocido, ¡es nuestro equipo! Será una conversación rápida para conocerte y resolver cualquier duda., • Entrevista con el equipo de atracción de talento: Queremos que nos conozcas mejor como empresa: valores, flexibilidad, modelo de carrera... para que, tanto tú como nuestro equipo de talento, podamos analizar si hay match., • Entrevista técnica : Te reunirás con el equipo, quienes te explicarán el proyecto y las funciones. También exploraremos tus conocimientos técnicos. Además, te realizaremos breves pruebas de competencias psicológicas e inglés (si es necesario)., • Oferta y bienvenida : Si todo va bien, ¡te incorporas a nuestro equipo y comenzamos esta nueva etapa! Nuestro compromiso es promover ambientes de trabajo en los que se trate con respeto y dignidad a las personas, procurando el desarrollo profesional de la plantilla y garantizando la igualdad de oportunidades en su selección, formación y promoción ofreciendo un entorno de trabajo libre de cualquier discriminación por motivo de género, edad, discapacidad, orientación sexual, identidad o expresión de género, religión, etnia, estado civil o cualquier otra circunstancia personal o social. ¡INDRA es empresa Top Employer 2026! Incorpórate a una empresa certificada como una de las mejores empresas empleadoras de España, gracias a nuestra gestión integral de RRHH y a las condiciones para nuestros profesionales. #J-18808-Ljbffr

Hybrid Role, working Part-time (may be necessary at some point for on-site presence in the customer office in Madrid).Responsibilities:To provide the framework that appropriately replicates the Big Data needs of a company utilizing data.More than 3 years of pre-sales experience in the design of Big Data and Data analytics solutions according to customer requirementsPrevious experience with the preparation of high-quality engaging customer presentations, excellent communication skills, experience in conversations at CxO level, ability to adapt the message to the customer feedback, etc.Experience in preparation answering RFPs: organize the offer solution team, solution definition, effort and cost estimation,Past experience in dealing with partners, tools vendors, etc.Business Domain KnowledgeMore than 5 years of experience in Big Data implementation projectsExperience in Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-SQL databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc.Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.)Previous involvement in working in a Multi-language and multicultural environmentProactive, tech passionate and highly motivatedExperience in Data analysis and visualization solutions: Microstrategy, Qlik, PowerBI, Tableau, Looker,…Background in Data Governance and Data Catalog solutions : Axon, Informatica EDC, Colibra, Purview, etc.To find out more details, please apply below!Madrid, Community of Madrid, SpainSeniority levelMid-Senior levelEmployment typePart-timeJob functionInformation Technology and Supply ChainIndustriesStaffing and Recruiting#J-18808-Ljbffr

Métrica Consulting busca un Data Engineer AWS Glue para un proyecto estratégico en el que integrarás flujos de datos, pipelines y soluciones de almacenamiento en la nube. Se valoran Python, PySpark y SQL básico‑medio; experiencia con AWS Glue y Informatica ETL/BDM es deseable.Modalidad REMOTO, jornada completa y entorno colaborativo Agile. Ofrecen salario negociable acorde a experiencia, formación online, plan de desarrollo profesional y contrato indefinido.#J-18808-Ljbffr

Atradius provides Trade Credit Insurance, Surety, and Collections services worldwide, with a strategic presence in over 50 countries. Our products help protect companies from payment risks associated with selling goods and delivered services. Atradius, a global leader in credit insurance, is part of GCO (Grupo Catalana Occidente), one of Spain’s leading insurers.Unit / TeamThe Information Technology Services (ITS) division is responsible for providing IT solutions across the Atradius Group. Within ITS, the ITS Finance unit is responsible for maintaining, supporting, and continuously enhancing the Group’s applications across the Finance and Risk domains for operational (Oracle EBS / Financials, Hyperion, Reinsurance, SAP Concur, …) and regulatory (IFRS 17, Solvency II, SAF-T, ….) purposes.The team works closely with Finance, Risk, Infrastructure, Data, and other ITS teams to ensure that systems are reliable, scalable, secure, compliant, and aligned with business needs.We are seeking a Finance Systems Analyst to join the ITS Finance team. The role is aimed at someone who combines strong business analysis capabilities with a solid understanding of finance systems, data, and technical delivery processes.The Finance Systems Analyst acts as a bridge between business stakeholders and technical teams. The person works closely with Finance, Risk, Compliance, and other business areas to understand business needs, analyse existing systems and data, translate requirements into clear functional and technical specifications, and support developers and infrastructure colleagues in delivering effective solutions.The ideal candidate has experience with finance systems, preferably within an insurance or financial services environment. They should be comfortable discussing business processes with non-technical stakeholders, while also being able to investigate system behaviour, analyse data flows, review application logic, and explain requirements clearly to developers, database specialists, integration teams, and infrastructure colleagues.Key ResponsibilitiesAnalyse business processes and translate them into clear functional requirements, user stories, specifications, and acceptance criteria.Analyse data to support issue investigation, change analysis, reconciliation, and solution design.Investigate existing finance systems, data flows, interfaces, and reporting processes to determine the impact of requested changes.Work with developers to explain business requirements, clarify expected system behaviour, validate technical designs, and follow up on implementation progress.Collaborate with other ITS teams on environment, performance, connectivity, scheduling, deployment, and operational topics.Support delivery processes including backlog refinement, test coordination, defect follow-up, and release preparation.Support testing activities, including test scenario definition, system integration testing, user acceptance testing, and defect analysis.Help ensure that delivered solutions are robust, maintainable, compliant, and aligned with finance system architecture and operational standards.Maintain clear documentation of requirements, process flows, data mappings, system behaviour, decisions, and implemented changes.Act as a trusted point of contact between business stakeholders and technical delivery teams.Job requirementsBusiness Analysis & Finance Systems Expertise:Proven experience as a Business Analyst, Systems Analyst, Functional Analyst, or similar role in a finance systems environment.Experience with Oracle Financials EBS and/or Oracle Fusion is desirable.Understanding of finance processes such as general ledger, accounts payable, accounts receivable, procurement, expense management, financial reporting, reconciliations, or regulatory reporting.Experience in the insurance or financial services industry is highly advantageous.Experience with regulatory or finance reporting topics such as IFRS 17, Solvency II is a plus.Ability to understand business needs, challenge assumptions, identify gaps, and translate requirements into practical system changes.Strong ability to document requirements, process flows, data flows, interface specifications, and acceptance criteria.Technical Expertise:Strong analytical skills and the ability to investigate system and data issues across multiple applications and platforms.Good understanding of relational databases, preferably Oracle Database.Ability to analyse data using SQL or similar query tools.Experience with ETL, data integration, or reporting platforms is highly desirable.Knowledge of Informatica and/or Databricks is a plus.Familiarity with ERP integrations, batch processes, interfaces, file exchanges, APIs, and data reconciliation concepts.Experience with finance-related applications such as Basware, Cupra, Hyperion Suite, or similar systems is an advantage.Understanding of software delivery lifecycle practices, including requirements management, testing, release management, and production support.Familiarity with Azure DevOps, backlog management, user stories, defects, repositories, and CI/CD pipelines is desired.Ability to communicate effectively with infrastructure, database, integration, and application teams on technical topics such as environments, connectivity, scheduling, access, performance, and deployments.Languages:Fluency in English is a must; proficiency in Spanish is a plus.Travel:Willingness to travel approximately 10%.What we offera great and challenging place to work - dynamic, transparent and informalan environment for our people where they can realise professional growthwork in a very international working placeAttractive terms and conditions: salary in line with market conditions, bonus and pension schemeEqual opportunities for allThe success of our organisation stands with the quality of our people and the ideas they have. Insights and innovative solutions for our customers are the result of an interplay of cultures, knowledge and experience. That is why diversity is extremely important to Atradius. To ensure that all colleagues within Atradius can develop their qualities, we promote an inclusive culture in which everyone feels involved and valued. We encourage and welcome everyone to apply to our positions.Do you have any questions about our offer?Cleo GLERUM, Human Resources, is available by e-mail at cleo.glerum@atradius.com.I am Atradius! - Do you want to know who we are?Get to know Atradius colleagues in this video: https://www.Youtube.Com/watch?v=NnsgT04OpTU&t=4sAtradius is a global provider of credit insurance, bond and surety, collections and information services, with a strategic presence in over 50 countries. The products offered by Atradius protect companies around the world against the default risks associated with selling goods and services on credit. Atradius is a member of Grupo Catalana Occidente (GCO.MC), one of the largest insurers in Spain and one of the largest credit insurers in the world.You can find further information on our website: https://group.Atradius.ComCountry:Netherlands, Amsterdam, Spain, Madrid#J-18808-Ljbffr

Job SummaryKeyrus is looking for a DevOps & DataOps Engineer. The ideal candidate demonstrates strong technical expertise in cloud infrastructure, containerization, and Python-based automation, combined with a deep understanding of data platforms and data pipeline reliability.We value professionals who are detail-oriented, autonomous, and impact-driven, with strong communication and problem-solving skills, ensuring that together we continue to transform data-driven possibilities into reality.LocationPortugalNoteAll applications/CV’s must be submitted in English.Key ResponsibilitiesDesign, maintain, and stabilise cloud-based infrastructure supporting data platforms across AWS and Azure, ensuring high availability and reliability of Python-based data pipelinesLead the modernisation of infrastructure, migrating from Docker Compose on virtual machines to Kubernetes-based environments (AKS/EKS) using GitOps and CI/CD best practicesTroubleshoot and resolve issues at the intersection of infrastructure, Python services, APIs, and databases, ensuring end-to-end data pipeline continuityRequirements for the roleProven experience in DevOps, DataOps, or Platform Engineering roles supporting data platforms (e.G., Airflow, Dagster, Informatica, or custom Python ETL frameworks)Strong hands-on experience with Docker, Linux (Debian/Ubuntu), cloud environments (AWS/Azure), and Python scripting/debuggingExperience with Kubernetes is a strong plusSolid understanding of data infrastructure concepts, including SQL databases (PostgreSQL, SQL Server, Snowflake), connectivity, drivers, and performance troubleshootingMust be a Portuguese or European citizen or have a work permit for PortugalWhat we offer at Keyrus PortugalCompetitive salary based on your skills & experience and according to the Data market practiceMeal allowance of €10.20 per dayFlexible benefits optionPrivate Medical Insurance22 days of annual leave (increasing every 3 years up to a maximum of 25 days)Training Program through KLX (Keyrus Learning Experience) PlatformWhy Keyrus?Joining Keyrus means joining a market leader in the Data Intelligence field and an (inter)national player in Management Consultancy and Digital Experience.Keyrus Portugal operates on five guiding pillars that shape our approach to work and collaboration – Diversity; Trust; Flexibility; Ownership & Innovation – we're dedicated to cultivating a team as diverse as the challenges we take on.We embrace and celebrate the rich variety of backgrounds, perspectives, and talents that each individual brings. We firmly believe that diversity fuels innovation, ignites creativity, and propels us towards greatness.Regardless of race, ethnicity, gender, sexual orientation, disability, age, or any other dimension of diversity, everyone is not only welcome but valued here.Join us in shaping a future where everyone can thrive!#J-18808-Ljbffr

We Are Waiting for YouHi there!I am Álvaro, the recruiter for this position. Nice to meet you!First, a little bit about what I like the most about working at Zurich Technology Delivery Center: The environment here is incredibly collaborative and innovative. Our tech‑driven mindset fosters continuous learning and growth, creating an atmosphere where everyone can thrive. Now, I can’t wait to share this exciting journey with you at Zurich!First of all, THANK YOU for considering our company. We understand that finding the right opportunity can be tough, but I’ll try to make it easier.Who Are We?Let me introduce us. You’re reading about Zurich Insurance Group, a global leader in insurance, but this role specifically pertains to our Technology Delivery Center (TDC). Established in Barcelona in 2006, the TDC operates as an integral part of Zurich Insurance Group, providing cutting‑edge technological solutions and support to Zurich's local and global business units.In essence, Zurich TDC is where technology meets the vast reach of a multinational company. We specialize in areas such as software development, data analytics, cybersecurity, and IT infrastructure. Our primary mission is to support Zurich's strategic goals and enhance operational efficiency through innovative technology solutions.If you're considering a role with us, know that you'll be joining a hub of technological excellence dedicated to driving Zurich's success on a global scale.Position OverviewThe Enterprise Data Management (EDM) Specialist is responsible for the operation, optimization, and continuous enhancement of the enterprise Data Governance Platform, with a primary focus on Informatica Cloud Data Governance Catalog (CDGC) and Cloud Data Quality (CDQ).This role ensures that enterprise data is trusted, discoverable, and governed by driving high‑quality metadata management, robust data quality controls, and complete end‑to‑end data lineage. Acting as a key technical authority, the EDM Specialist manages metadata ingestion, API‑driven integrations, platform monitoring, and service account governance, while enabling advanced data observability capabilities.The role adopts an AI first mindset, systematically using Generative AI, AI agents, and automation to reduce manual effort, improve consistency, and accelerate delivery (e.G., AI‑assisted documentation, automated metadata enrichment, intelligent anomaly detection).The role collaborates closely with business units, group functions, platform engineering teams, and vendor support, requiring strong technical expertise combined with the ability to translate governance requirements into scalable, AI‑enabled platform solutions.What Can You Expect?And you might be thinking: This is great, what will my day‑to‑day be like, at TDC? I’m glad you asked.As an Enterprise Data Management Specialist you will have the opportunity to:Configure, automate, and manage data quality rules and monitoring frameworks within CDQ, using AI‑based anomaly detection and monitoringUse AI to ensure accurate capture, validation, and maintenance of end‑to‑end data lineage, supporting impact analysis and regulatory transparencyDefine and implement data observability metrics (e.G., completeness, freshness, accuracy, reliability), including reporting and dashboarding, using AI tools to surface trends and insightsUse AI assistants and AI agents to generate and maintain business glossaries, data asset descriptions, and stewardship documentation, propose and pre‑populate data quality rules and policies based on patterns in existing metadata and data issuesCollaborate with data stewards and business stakeholders to drive adoption of catalog and governance capabilities, including training users on AI‑assisted catalog featuresManage platform access, including user roles, permissions, and service account lifecycle management (creation, credential governance, rotation, and compliance adherence)Design, configure, and optimize metadata ingestion processes using Informatica connectors, APIs, and custom integration patternsExecute and maintain API/MCP‑based read and write operations to enable automated metadata ingestion, enrichment, and governance workflowsMonitor and ensure reliability of scanning processes, ingestion pipelines, API activity, and platform performance. Troubleshoot and resolve issues related to metadata ingestion, API integrations, authentication, and service account accessAct as a subject matter expert and second‑line support, coordinating with platform administrators and Informatica vendor support for complex incidentsUse AI to document standards, processes, and best practices to ensure scalability, consistency, and operational excellenceWhat Makes You a Great Fit?While we’re not seeking perfection or expecting you to save the world, we believe that if you meet some of these requirements, you’ll be a fantastic fit for our team. We are waiting for you!Bachelor’s or master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.Hands‑on expertise with Informatica IDMC, specifically MCC (Metadata Command Center), CDGC (Cloud Data Governance Catalog) and CDQ (Cloud Data Quality).Deep understanding of metadata management and enterprise data cataloging, including metadata models, classifications, and glossaries and integration patterns for ingesting metadata from multiple sources.Data quality rule design and implementation. Data lineage, impact analysis, and governance frameworks.Experience working with enterprise data platforms (e.G., data warehouses, ETL/ELT tools, cloud ecosystems). SQL skills and solid understanding of data structures.Experience with API integration and automation (REST APIs, MCP frameworks).Knowledge of authentication and authorization mechanisms (OAuth, JWT, Service principals).Practical experience with Generative AI, ideally in coding and agentic workflows. Demonstrated ability to use AI tools to:Automate repetitive technical tasks (e.G., script generation, test creation, documentation drafts).Design and execute prompt strategies for LLMs to work safely with metadata and catalog content.Integrate AI‑based components into existing data governance workflows.Technical & AI‑relatedExperience with additional data governance / catalog solutions (e.G., Collibra, Alation).Exposure to AI/ML‑based observability or monitoring tools for data platforms.Experience with scripting or programming languages commonly used for automation (e.G., Python, PowerShell).Familiarity with cloud‑native data services in Azure and/or AWS, including security and compliance controls.Experience designing or operating AI‑assisted self‑service data discovery capabilities for business users.Behavioural and soft skillsProactive, results‑driven attitude with a commitment to continuous improvement.Excellent analytical, troubleshooting, and problem‑solving capabilities.Good communication, stakeholder management, and analytical skills.Fluency in English; additional languages are an advantage.And... What Makes Us Special?As well as a competitive salary and a yearly bonus, we offer:To support your work‑life balance, we have adopted a flexible working model.Option to work abroad up to 25 days yearly.Over 300 euros to set up your home office and additional monthly home office allowance.Wide range of internal and external trainings, including English, German and Spanish classes depending on the needs.Ticket restaurant and Health Insurance with the flexibility to exchange it for other benefits.Life and accident insurance.Collective Life retirement Plan2000 referral bonus if you bring other talented people like you to the company.Special banking and insurance conditions plus Exclusive Employees discountsFunctional diversity benefitsStock options and mortgage benefits.Where Are We Located?Barcelona, Poblenou.#Li-hybridWe Are Waiting for You.Can you see yourself in this role? Don’t wait any longer! Apply by sending your CV in English.If not, no worries! We’ll meet again in the future. Feel free to share my contact details with anyone you think would be a great fit.At Zurich, we are an equal opportunity employer. We attract and retain the best‑qualified individuals available, regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability.You are the heart & soul of Zurich!At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?We highly value the experience and know‑how of our employees and offer a wide range of opportunities across business areas to encourage you to apply for new opportunities within Zurich when you are ready for your next career step.#J-18808-Ljbffr

Full TimeEnterprise Architect DirectorCelonisMadrid, SpainMatch score ---Confidence ---Role snapshotCompensation N/ALocation Madrid, SpainTechnologiesAWSAzureGCPPythonSQLJob DescriptionCelonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model --- which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can understand --- turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet.The RoleTo push further our vision of Enterprise AI, we are looking for a senior leader to grow and lead our team of Enterprise Architects.This high-impact leadership role demands a unique blend of deep technical expertise, people management experience, and executive presence. You will act as an executive sponsor, confidently presenting to customer C-level executives and helping your team translate strategic goals into actionable technical plans.Your primary goal is to lead and empower a team that supports our growing sales organization in achieving revenue goals. You will ensure your team successfully unlocks technical blockers by fostering close partnerships with leadership across Sales, Value Engineering, Product Management, Data Ops, and Information Security teams.Measures of SuccessYour success will be measured by your team's impact, including new customer acquisition rates, retention, up-selling, and your overarching contribution to the overall sales team and business success.The Work You'll DoTeam Leadership: Hire, mentor, and manage a team of Enterprise Architects who define the overall architecture, data, and cloud strategy for our largest client accounts.Executive Engagement: Act as an executive sponsor in pre-Sales and post-Sales phases, presenting strategic visions to C-level executives and engaging with customer Architecture and security teams.Drive Strategic Innovation: Guide your team to design architectures that drive enterprise modernization, leverage capability mapping, and explore innovative solutions using emergent technologies like Agentic AI.Cross-Functional Alignment: Serve as the leadership bridge between our product & engineering teams within Celonis and client teams to ensure the delivery of premier technical services.Ecosystem & Readiness: Oversee the assessment of the IT landscape maturity of our customer installed base and ensure your team effectively coaches Celonis account teams and ecosystem partners on architecture, integration, performance, and scalability.Thought Leadership: Direct the development of re-usable assets for projects, as well as customer-facing position papers and thought leadership presentations on architecture and innovation with Celonis.The Qualifications You NeedExperience: 20 years of relevant experience, including a proven track record of managing Enterprise Architects or technical teams at a top consulting firm or software vendor.Strategic Vision: Proven ability to think strategically, guiding your team to connect technical solutions to business value and customer objectives.Communication: Excellent written and verbal communication skills, with a proven track record of navigating complex negotiations and presenting to C-level executives.Enterprise Architecture Expertise: Demonstrated experience and deep understanding of Capability Mapping, Enterprise Modernization, and Agentic AI.Technical Foundation: Strong background in Data Architecture, system integrations, data operations, automation capabilities, and data-related languages (SQL, Python, etc.). You must be able to comfortably switch from discussing high-level architecture strategy to understanding hands-on demo environments.Ecosystem Knowledge: Strong understanding of cloud-native architectures, SaaS solutions (Salesforce, SAP, Dynamics CRM, ServiceNow), cybersecurity posture fundamentals, API ecosystems, and legacy on-premise enterprise architectures.Education: MSc degree in Computer Science or an equivalent in an Information Technology-related field.Languages: Fluency in English is required; an additional language such as Spanish, French, German, or Italian is a strong advantage.PreferredCelonis Certifications and extensive leadership experience managing projects with OCPM and Case Centric Data Pipelines.Industry standard certifications such as AWS/Azure/GCP, ESB / ETL (Mulesoft, Oracle, SAP, Talend, Informatica), or TOGAF/Zachmann.Experience spanning at least two domains (e.G., Finance, Manufacturing, Supply Chain, HR) and at least two industries (e.G., Consumer Goods, Banking, Pharma, Aerospace).What Celonis Can Offer YouPioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.Unrivaled Family Support: Benefit from our inclusive parental leave policy---24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.Value-Driven Impact: Join a mission-led organization where our core values---Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future---drive every decision.About UsCelonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand --- turning AI's operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.Get familiar with the Celonis Process Intelligence Platform by watching this video.Celonis Inclusion StatementAt Celonis, we believe our people make us who we are and that "The Best Team Wins". We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.Your PrivacyAny information you submit to Celonis as part of your application will be processed in accordance with Celonis' Accessibility and Candidate NoticesBy submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.#J-18808-Ljbffr

About The JobThe SimpliFi Data Pool is a central data repository hosted on Azure, designed to unify OE financial data and enhance cost efficiency. It serves as the primary source of accounting and reporting data, ensuring compliance with mandatory reporting requirements. The Data Pool is a key component of the SimpliFi program, integrated with SAP, providing a harmonized data model with Common Core components, including a globally harmonized Chart of Accounts and standardized accounting and reporting processes.What You DoImplement data pipelines in line with established engineering standards — pipeline design patterns, naming conventions, and modelling approaches (e.G. Data Vault). Apply architecture decisions made at Lead level and translate them into working, maintainable solutions.Build and maintain end-to-end data pipelines across ingestion, transformation, and loading. In SimpliFi terms, this means developing and owning flows across Raw Data Vault, Business Data Vault, UJT, and CORE layers — working hands‑on with tools such as Databricks, Azure Synapse and IDMC.Responsible for data quality within their pipeline scope — implementing checks, identifying issues early, and resolving them before they propagate downstream. Escalate systemic or cross‑domain issues to the Lead.Review code from junior and mid‑level engineers, share best practices and contribute to raising team capability. Act as a day‑to‑day technical reference for less experienced colleagues.Work alongside Data Modellers, MDM/RDM specialists, and IT component leads. Translate technical constraints and findings into clear inputs for planning and design discussions.Ensure pipelines are built in line with data governance requirements — lineage, classification, and access controls. Support gate processes (e.G. DAB/CCP) by providing accurate technical evidence and documentation.Actively participate in sprint planning and delivery cycles — providing effort estimates, flagging technical dependencies, and keeping work moving within their delivery lane.What You BringHands‑on expertise building and operating large‑scale pipelines — batch and streaming. Proficiency in tools like Apache Spark, Databricks and cloud‑native equivalents. Experience with ETL/ELT patterns at enterprise scale.Practical experience with modern lakehouse/warehouse platforms — Databricks, Azure Synapse, or equivalents. Understanding of partitioning, clustering, query optimisation.Deep working knowledge of at least one major cloud Azure — compute, storage, networking, managed services. In enterprise contexts like SimpliFi, Azure is typically dominant (ADLS, ADF, Azure Databricks).Solid grasp of modelling paradigms — Medallion, dimensional (Kimball) and Data Vault 2.0. Ability to review and contribute to models, not just implement them. Know how to implement metadata capture, data lineage (e.G. via IDMC or Purview) and access controls. Experience navigating governance frameworks and gate processes.Strong SQL (complex transformations, performance tuning), Python (pipeline logic, data quality scripts) and familiarity with PySpark for distributed workloads. Experience implementing DQ rules, profiling and monitoring — ideally with tools like DQX, Great Expectations.Understanding of master and reference data flows — how golden records are created, maintained and consumed. Experience with platforms like SAP MDG or Informatica MDM is a strong plus.CI/CD for data pipelines (GitHub Actions), version control discipline and infrastructure‑as‑code basics (Terraform). Able to read and contribute to architecture documents and understand layers, zones and data flow patterns across a platform. Can engage meaningfully with architects without needing hand‑holding.Familiarity with Machine learning is a strong advantage.What We OfferWe offer a hybrid work model recognising the value of striking a balance between in‑person collaboration and remote working, including up to 25 days per year working from abroad.We believe in rewarding performance; 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 is unique.Commitment to Integrity, Fairness & InclusionAllianz Group is one of the most trusted insurance and asset management companies in the world. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations.#J-18808-Ljbffr

Intetics Inc. is a global technology company specializing in custom software development, AI-powered solutions, cloud technologies, and digital transformation. With over 30 years of experience, we help organizations worldwide build scalable, innovative, and data-driven solutions across a wide range of industries. We are looking for talented professionals who are passionate about solving complex technical challenges and building high-quality data platforms.Impact You Will Make in the RoleOwn Databricks production support for the company's data platform, including monitoring, alerting, and incident response across all production data flows.Maintain and report on SLA performance metrics for data pipeline delivery, ensuring visibility into platform health and accountability across internal and external stakeholders.Identify and implement pipeline optimizations that reduce Databricks compute costs, improve throughput, and reduce processing windows while tracking impacts through measurable KPIs.Migrate legacy ETL/ELT pipelines to Databricks, building automation tooling to reduce manual intervention and ensure uninterrupted data delivery during transitions.Support new customer onboarding by provisioning, validating, and hardening tenant data pipelines that deliver reliable, isolated data from day one.Design and build high-performance Databricks pipelines that ingest, transform, and serve ERP and CRM data at scale across both Azure and AWS environments.Own the Delta Lake architecture, including schema design, partitioning strategies, data quality enforcement, and incremental processing patterns.Enforce data security best practices across Databricks environments, including role-based access control, secrets management, and compliance requirements for enterprise business data.Implement data quality monitoring and observability across pipeline health and ML model inputs, ensuring data integrity that directly supports predictive analytics.Apply and enforce multi-tenant data isolation patterns, ensuring reliable and secure data delivery across enterprise customers.Partner with the Enterprise Architecture team to ensure data pipelines integrate seamlessly with the broader AI and analytics ecosystem.Support a globally distributed operation through on-call rotation and after-hours incident response, meeting SLAs across multiple time zones.Maintain technical documentation, runbooks, and architectural decision records, contributing to team knowledge sharing and operational readiness across on-call and incident response scenarios.Apply CI/CD best practices to data pipeline development, including version control, automated testing, and deployment tooling to ensure reliable and repeatable pipeline delivery.Requirements4+ years of data engineering experience.At least 2 years of experience with Databricks or the Apache Spark ecosystem across Azure and/or AWS.Proficiency in PySpark, SQL, and Python with a strong track record of building and operating production-grade pipelines under SLA constraints.Hands‑on experience with Delta Lake, including schema evolution, ACID transactions, optimize/vacuum lifecycle, and both incremental and streaming processing patterns.Hands‑on experience with pipeline performance tuning and compute optimization in production Databricks environments.Solid working knowledge of PostgreSQL, including query optimization, schema design, and use as a source or sink in production data pipelines.Experience supporting and maintaining legacy ETL tooling (SSIS, Informatica, custom Python/SQL pipelines, or similar) in production.Experience supporting large‑scale multi‑tenant architectures with a focus on tenant isolation, per‑tenant performance, and data privacy, including navigating tools and platforms that default to single‑tenant assumptions.Proven ability to work collaboratively across data science, product, and infrastructure teams, owning end‑to‑end delivery in a cross‑functional environment.Strong understanding of data governance, security, and compliance principles, including access control, data privacy, and protection of sensitive enterprise data across multi‑tenant environments.Preferred Qualifications / ExperienceExperience operating Databricks workspaces across both Azure and AWS, including cost governance, cluster management, and cross‑cloud data access.Experience optimizing Databricks workloads in a Serverless environment, including compute cost governance and performance tuning for serverless compute.Experience with Microsoft SQL Server in a data engineering or ETL context.Exposure to ML feature engineering or feature stores (Databricks Feature Store, Feast, or similar) supporting predictive analytics.Experience with customer onboarding automation or Infrastructure as Code (IaC) patterns for provisioning tenant data pipelines at scale.Databricks Certified Data Engineer Associate or Professional certification#J-18808-Ljbffr

Description Do you love building scalable data pipelines and engineering reliable datasets? Are you excited by the opportunity to create foundational data infrastructure that powers decision-making across a complex logistics network? Do you want to work in a fast-paced environment, solving data challenges at the intersection of engineering and business impact?Description Do you love building scalable data pipelines and engineering reliable datasets? Are you excited by the opportunity to create foundational data infrastructure that powers decision-making across a complex logistics network? Do you want to work in a fast-paced environment, solving data challenges at the intersection of engineering and business impact?If this describes you, consider joining us. You will have the opportunity to work alongside the industry's brightest engineers, who innovate every day on behalf of our customers. You will have the opportunity to affect the evolution of Amazon technology, as well as lead mission-critical projects. Your work will contribute to solving some of the most complex technical challenges in the company. In addition to working on impactful projects, you will have the opportunity to engage with Amazonians for both personal and professional development and expand your network. Come chart your own path at Amazon.Key job responsibilitiesDesign, implement, and automate scalable data pipelines for collecting, transforming, and processing data from multiple sources (Redshift, Glue)Design and evolve data models and schemas ensuring accuracy, consistency, and alignment with single source of truth standardsOwn the development and maintenance of curated reference datasets and data assets to drive key business decisionsMonitor and troubleshoot data quality issues and operational incidents in production pipelinesDrive architectural plans and implementation for future data storage and integration solutionsCollaborate with stakeholders across operations, finance, and science to translate business requirements into reliable data solutionsInvestigate and resolve root causes of data defects, ensuring data accuracy and reliability across the platformA day in the lifeOur Data Engineers build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, and data storage principles.Work/Life BalanceOur team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow youestablish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment.Inclusive Team CultureOur team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes, we do get to build really cool data solutions, but we also think a big reason for that is the inclusive and welcoming culture we try to cultivate every day.Mentorship & Career GrowthWe care about your career growth. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.About The TeamMINT (Miles Intelligence and Truth), within Supply Chain Execution Data & Analytics, delivers end-to-end data solutions for EU Transportation. We are the Single Source of Truth (SSOT) team - creating and owning the trusted reference datasets across different EU Transportation areas. We build scalable pipelines and self-service tools that drive data-driven decisions across the organisation.Basic QualificationsExperience in data engineeringExperience with data modeling, warehousing and building ETL pipelinesExperience with one or more query language (e.G., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)Experience with one or more scripting language (e.G., Python, KornShell)Preferred QualificationsExperience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional modelKnowledge of AWS InfrastructureAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.Amazon.Jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.Jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Company- Amazon EU SARL (Spain Branch)#J-18808-Ljbffr

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.WHY JOIN USIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!ABOUT THE ROLEWe are looking for a Solution Architect to lead the technical design of a large-scale GCP data platform for an enterprise telecommunications client. You will define a lakehouse and medallion architecture using BigQuery, Dataflow, and Pub/Sub, working as an independent technical voice alongside senior client architects. The role starts part-time and scales to full-time.WHAT YOU WILL DODesign and own the target-state lakehouse/medallion architecture for a multi-petabyte GCP data platform (BigQuery, GCS, Dataflow, Pub/Sub) supporting thousands of pipelines and hundreds of thousands of tables.Translate transformation goals into scalable, secure architecture decisions and delivery roadmaps, working directly with architects and engineering leadership.Define architecture for ingestion, transformation, curation, dataset registration/cataloging, governance, and analytics-serving layers (BigQuery as serving layer, dbt/Looker for transformation and reporting).Advise on migration strategy for legacy ETL pipelines — including undocumented, proprietary legacy tooling — into modern GCP-native or open lakehouse patterns.Evaluate and help select ingestion/transformation tooling (e.G. Fivetran, dbt, Airflow/Composer, NiFi) as part of ongoing technology proofs of concept.Define data governance and cataloging strategy aligned with GCP's native catalog capabilities (e.G. Dataplex, BigQuery universal catalog), including metadata, lineage, and access-control design.Act as senior technical reviewer for the squad's engineers, ensuring architectural consistency, security compliance, and long-term maintainability.Present and validate architecture decisions to executives, enterprise architecture teams, and security stakeholders.Operate within a controlled toolchain and security constraints, including approved AI-assisted development environments.MUST HAVES10+ years of experience in data architecture, solution architecture, or enterprise systems architecture.Strong, hands-on experience architecting data platforms on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, GCS) at enterprise / multi-petabyte scale.Proven experience designing lakehouse or medallion architectures (bronze/silver/gold layering or equivalent).Experience advising on or leading migration of legacy ETL/data platforms to modern cloud-native architectures.Strong understanding of data ingestion and transformation tooling such as Fivetran, dbt, Apache Airflow/Composer.Experience working directly with enterprise clients as a trusted technical advisor, able to challenge and be challenged by client architects rather than simply execute a defined scope.Comfortable operating inside a large, security-conscious enterprise with a controlled toolchain, including adapting to approved rather than personally preferred AI-assisted development tools.Excellent communication and presentation skills — able to explain complex architecture to technical, business, and executive audiences.Willingness to travel occasionally (a few days at a time) to the UK office.NICE TO HAVESExperience with BigLake / Iceberg-based lakehouse patterns.Experience with Google Dataplex or BigQuery's universal data catalog.Familiarity with legacy ETL platforms such as Ab Initio, Informatica, or similar proprietary tools, particularly reverse-engineering pipelines built on them.Experience with AI-assisted, spec-driven development tools such as Amazon Kiro or comparable environments.Telecommunications sector experience (not required, but relevant given the scale).Experience working within Scrum/SAFe delivery frameworks.PERKS AND BENEFITSProfessional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.Meet Our Recruitment ProcessEach step helps us understand your skills and overall fit.If it’s a match, you’ll receive an offer.#J-18808-Ljbffr

Job Description: Employer: DWS Group Title: Data Integration Lead, Vice President Location: Madrid Job Code: placeholder for LinkedIn job wrappingAbout DWS: Today, markets face a whole new set of pressures - but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change. Join us at DWS, and you can be part of an industry-leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment. We’re looking for creative thinkers and innovators to join us as the world continues to transform. As whole markets change, one thing remains clear; our people always work together to capture the opportunities of tomorrow. As investors on behalf of our clients, it is our role to find investment solutions. Ensuring the best possible foundation for our clients’ financial future. And in return, we’ll give you the support and platform to develop new skills, make an impact and work alongside some of the industry’s greatest thought leaders. This is your chance to achieve your goals and lead an extraordinary career. This is your chance to invest in your future. Read more about DWS and who we are here.Team / division overview DWS Corporate Functions Technology operates across a hybrid landscape of DWS-managed applications, Deutsche Bank-provided technology services, cloud platforms, SaaS solutions and enterprise integration services. This role offers a unique opportunity to help shape and implement the strategic future-state technology landscape for DWS Corporate Functions globally, working across cloud, on-premise, SaaS and enterprise platforms in a regulated asset management environment. The Data Integration Lead will be responsible for defining and delivering the data integration architecture required to support this transformation. The role will provide technical leadership across cloud and hybrid technology ecosystems, ensuring that data can move securely, reliably and efficiently between strategic platforms, enterprise services and business-critical applications.Your responsibilities – As Corporate Functions Data Integration Lead, Vice President, you will:- Define and evolve the enterprise data integration architecture and roadmap for DWS Corporate Functions across cloud-native, hybrid, SaaS and on-premise ecosystems.- Lead architectural decisions for strategic integration scenarios, including GCP-to-GCP, GCP-to-on-premise, application-to-application, batch, real-time, event-driven, API-led and CDC-based data integration.- Establish standards, frameworks, reusable patterns and best practices for data ingestion, transformation, enrichment, distribution and integration across strategic platforms.- Drive modernisation from legacy ETL platforms towards cloud-native integration services, ensuring migration choices are pragmatic, controlled and aligned to DWS architecture, risk and operational resilience expectations.- Provide technical governance and design assurance across major initiatives, challenging solution designs where needed and ensuring alignment with agreed architecture principles and engineering standards.- Lead the design of near real-time and real-time data processing solutions, including streaming pipelines, low-latency feeds and event-driven services where these are the right architectural fit.- Oversee the design of reliable, scalable and observable data feeds for market, reference, position, transaction, investment and operational data.- Provide hands-on technical leadership for strategic initiatives, including design reviews, proof-of-concept work, complex issue resolution and guidance on implementation quality.- Partner with engineering teams, platform owners, architects and business stakeholders to ensure integration solutions are secure, resilient, scalable and operationally supportable.- Mentor engineering teams and promote engineering excellence, including DevOps, CI/CD, automation, observability, documentation and platform modernisation practices.- Own technology risk, controls, architecture review outcomes and operational stability for integration solutions within the role’s scope.- Provide clear updates, recommendations and technical leadership to senior management on integration strategy, delivery progress, risks and key decisions.We are looking for 10+ years' experience in data integration, ETL, enterprise data engineering or integration architecture, with evidence of operating at senior technical leadership level. Strong practical understanding of Google Cloud Platform services relevant to data engineering and integration, including GCS, BigQuery, Pub/Sub, Dataflow, Cloud Composer, Cloud Run, Cloud Functions and Kubernetes. Hands-on experience with enterprise integration and data movement platforms such as StreamSets, Informatica PowerCenter / IICS, uFlow or comparable workflow orchestration technologies. Proven experience architecting and delivering streaming data pipelines using technologies such as Kafka, Pub/Sub, Dataflow, Spark Streaming or comparable event streaming platforms. Strong understanding of event-driven architecture, message-based processing, API-led integration, microservices-based data exchange, and CDC patterns. Experience designing enterprise integration frameworks, reusable components, data ingestion patterns, transformation services and distribution platforms. Experience designing high-volume enterprise data feeds and low-latency data processing solutions in complex hybrid-cloud environments. Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs. Strong engineering capability in at least one modern programming language, preferably Python, with the ability to review, guide and challenge implementation quality. Good understanding of data modelling, metadata management, data quality, data lineage and master data management concepts. Experience with Agile, DevOps, CI/CD, cloud-native design and operational observability practices. Experience working in regulated financial services, preferably within Banking, Asset Management or Wealth Management. Understanding of Asset Management business processes and data domains would be advantageous. Bachelor’s or Master’s degree in Computer Science, Engineering or a related discipline, or equivalent practical experience. Relevant cloud, data engineering or integration architecture certifications would be advantageous.What we’ll offer you: At DWS we’re serious about diversity, equity and creating an inclusive culture where colleagues can be themselves and it’s important to us that you enjoy coming to work - feeling healthy, happy and rewarded. At DWS, you’ll have access to a range of benefits which you can choose from to create a personalised plan unique to your lifestyle. Whether you’re interested in healthcare, company perks, or are thinking about your retirement plan, there’s something for everyone. DWS’ Hybrid Working model is designed to find the right balance between in-person collaboration and engagement in the office, which is core to our working culture, and working from home. Each business group varies on the split between time spent in the office and at home, but this will be discussed and made clear as part of your application and interview process. We will continue to review and evolve our working environments and methods to ensure that we are working in the best way possible for our people. If you require any adjustments or changes to be made to the interview process for any reason including, or related to a disability or long-term health condition, then please contact your recruiter and let them know what assistance you may need. Examples of adjustments include providing a change to the format of the interview, or providing assistance when at the DWS office. This will not affect your application and your recruitment team will discuss options with you. We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots. At DWS, we’re capturing the opportunities of tomorrow. You can be part of a leading, client-committed, global Asset Manager, making an impact on individuals, communities and the world. In an ever-changing landscape, markets face a new set of pressures – but here, we see the opportunity in challenges. Opportunity to invest responsibly; to create change. Whether it’s collaborating to discover innovative solutions or exploring your curiosity to develop new skills – at DWS, we support you to achieve your goals. As the world continues to evolve, we do too. Join us, and you can shape our transformation. You can collaborate with industry thought-leaders, gaining new and diverse perspectives. You can share ideas and be yourself. You can drive innovative and sustainable solutions that influence markets and behaviours for the better. This is your chance to lead an extraordinary career. This is your chance to invest in your future.#J-18808-Ljbffr

¡En Fujitsu buscamos personas con talento!Fujitsu es la compañía líder japonesa en tecnología digital, de la información y comunicaciones, y uno de los cinco principales proveedores de estos servicios en el mundo. Contamos con más de 50 años de experiencia en la entrega de soluciones tecnológicas a clientes de todo el globo y somos más de 140.000 expertos con el propósito de crear un mundo más sostenible a través de la innovación.Somos una somos una compañía que pone en valor laDIVERSIDADy elTALENTOdeTOD@S; una empresa que reconoce los valores profesionales, la capacitación laboral y la pasión, independientemente de las diferentes capacidades de cada uno que, lejos de alejarnos, nos enriquecen.Actualmente, estamos buscando un Consultor Junior GRC (Especializado en ENS).¿Qué buscamos en ti?TITULACIÓN:Ingeniero de telecomunicaciones, informatica, ciberseguridad, gestión de la seguridad, derecho, criminología o similar.EXPERIENCIA:Al menos 2 años de experiencia en el rol de consultor GRC en los ambitos recogidos en requisitos comentados a continuación.REQUISITOS IMPRESCINDIBLES:Conocimientos:Conocimiento y experiencia en las funciones y responsabilidades de Consultor de GRC (Gobierno, Riesgo y Cumplimiento)Conocimiento y experiencia en proyectos de adecuación normativa de seguridad de la información (ENS, NIS2, ISO27001). Se requiere experiencia en, al menos, adecuación ENS (preferente) y al menos 1 de los siguientes ámbitos:- Gestión y gobierno de seguridad de la información. Normativas de seguridad de la información como NIS2 e ISO27001- Protección de Datos- Continuidad de negocio- Protección de infraestructuras críticas, prefentemente entornos de servicios de salud- Formación, comunicación y concienciación en seguridad de la informaciónAltas capacidades de exploración e investigación para el aprendizajeEscucha activaSer consciente de los procesos que llevas a cabo, de la información previa clave sobre la entidad y el sector, así como comprender la repercusión de tu trabajo con nosotros o el cliente.Trabajar eficazmente en equipo para llevar a cabo las tareas que te sean asignadas y entender cómo se enmarca tu función en el equipo de trabajo.Hacer todas las preguntas que necesites para poder acometer tus tareas con la calidad que se necesita.Flexibilidad y predisposición al cambioMáxima involucración en aportar valor a través del aprendizaje y la autonomía en la ejecución de las primeras tareasREQUISITOS VALORABLES:Certificaciones GRCExperiencia / conocimiento de seguridad de la información en entornos de salud.Compañía japonesa con sólida cultura organizacionalDesarrollo en una multinacional líder del sectorSeguro de vida y accidentesAyuda por hijos menores de edad¡Y muchísimos beneficios más!·La consultora independiente Whitelane Research y la consultora de estrategia Quint, en su estudio sobre el outsourcing de servicios IT en España 2022 ha situado a Fujitsu como líder en el nuevo indicador de Ciberseguridad y como líder en el indicador Business Understanding.·Fujitsu ha obtenido la certificación “Great Place to Work”, un distintivo que acredita una cultura de alta confianza, capaz de atraer y fidelizar talento. Es el reconocimiento más prestigioso en el ámbito nacional e internacional que se otorga a las mejores empresas del mundo.·Fujitsu se encuentra en el top 5 de proveedores de Servicios a nivel mundial.·Fujitsu atesora unas 97.000 patentes en todo el mundo.·Fujitsu figura en Dow Jones Sustainability Indexes (World), FTSE4Good Index Series, y en Oekom research.·La revista FORTUNE ha nombrado a Fujitsu como una de las Compañías del mundo más admiradas cuatro veces consecutivas desde 2012.#J-18808-Ljbffr

Atradius provides Trade Credit Insurance, Surety, and Collections services worldwide, with a strategic presence in over 50 countries. Our products help protect companies from payment risks associated with selling goods and delivered services. Atradius, a global leader in credit insurance, is part of GCO (Grupo Catalana Occidente), one of Spain’s leading insurers. Unit / Team The Information Technology Services (ITS) division is responsible for providing IT solutions across the Atradius Group. Within ITS, the ITS Finance unit is responsible for maintaining, supporting, and continuously enhancing the Group’s applications across the Finance and Risk domains for operational (Oracle EBS / Financials, Hyperion, Reinsurance, SAP Concur, …) and regulatory (IFRS 17, Solvency II, SAF-T, ….) purposes. The team works closely with Finance, Risk, Infrastructure, Data, and other ITS teams to ensure that systems are reliable, scalable, secure, compliant, and aligned with business needs. We are seeking a Finance Systems Analyst to join the ITS Finance team. The role is aimed at someone who combines strong business analysis capabilities with a solid understanding of finance systems, data, and technical delivery processes. The Finance Systems Analyst acts as a bridge between business stakeholders and technical teams. The person works closely with Finance, Risk, Compliance, and other business areas to understand business needs, analyse existing systems and data, translate requirements into clear functional and technical specifications, and support developers and infrastructure colleagues in delivering effective solutions. The ideal candidate has experience with finance systems, preferably within an insurance or financial services environment. They should be comfortable discussing business processes with non-technical stakeholders, while also being able to investigate system behaviour, analyse data flows, review application logic, and explain requirements clearly to developers, database specialists, integration teams, and infrastructure colleagues. Key Responsibilities Analyse business processes and translate them into clear functional requirements, user stories, specifications, and acceptance criteria. Analyse data to support issue investigation, change analysis, reconciliation, and solution design. Investigate existing finance systems, data flows, interfaces, and reporting processes to determine the impact of requested changes. Work with developers to explain business requirements, clarify expected system behaviour, validate technical designs, and follow up on implementation progress. Collaborate with other ITS teams on environment, performance, connectivity, scheduling, deployment, and operational topics. Support delivery processes including backlog refinement, test coordination, defect follow-up, and release preparation. Support testing activities, including test scenario definition, system integration testing, user acceptance testing, and defect analysis. Help ensure that delivered solutions are robust, maintainable, compliant, and aligned with finance system architecture and operational standards. Maintain clear documentation of requirements, process flows, data mappings, system behaviour, decisions, and implemented changes. Act as a trusted point of contact between business stakeholders and technical delivery teams. Job requirements Business Analysis & Finance Systems Expertise: Proven experience as a Business Analyst, Systems Analyst, Functional Analyst, or similar role in a finance systems environment. Experience with Oracle Financials EBS and/or Oracle Fusion is desirable. Understanding of finance processes such as general ledger, accounts payable, accounts receivable, procurement, expense management, financial reporting, reconciliations, or regulatory reporting. Experience in the insurance or financial services industry is highly advantageous. Experience with regulatory or finance reporting topics such as IFRS 17, Solvency II is a plus. Ability to understand business needs, challenge assumptions, identify gaps, and translate requirements into practical system changes. Strong ability to document requirements, process flows, data flows, interface specifications, and acceptance criteria. Technical Expertise: Strong analytical skills and the ability to investigate system and data issues across multiple applications and platforms. Good understanding of relational databases, preferably Oracle Database. Ability to analyse data using SQL or similar query tools. Experience with ETL, data integration, or reporting platforms is highly desirable. Knowledge of Informatica and/or Databricks is a plus. Familiarity with ERP integrations, batch processes, interfaces, file exchanges, APIs, and data reconciliation concepts. Experience with finance-related applications such as Basware, Cupra, Hyperion Suite, or similar systems is an advantage. Understanding of software delivery lifecycle practices, including requirements management, testing, release management, and production support. Familiarity with Azure Dev Ops, backlog management, user stories, defects, repositories, and CI/CD pipelines is desired. Ability to communicate effectively with infrastructure, database, integration, and application teams on technical topics such as environments, connectivity, scheduling, access, performance, and deployments. Languages: Fluency in English is a must; proficiency in Spanish is a plus. Travel: Willingness to travel approximately 10%. What we offer a great and challenging place to work - dynamic, transparent and informal an environment for our people where they can realise professional growth work in a very international working place Attractive terms and conditions: salary in line with market conditions, bonus and pension scheme Equal opportunities for all The success of our organisation stands with the quality of our people and the ideas they have. Insights and innovative solutions for our customers are the result of an interplay of cultures, knowledge and experience. That is why diversity is extremely important to Atradius. To ensure that all colleagues within Atradius can develop their qualities, we promote an inclusive culture in which everyone feels involved and valued. We encourage and welcome everyone to apply to our positions. Do you have any questions about our offer? Cleo GLERUM, Human Resources, is available by e-mail at Cleo. Glerum@. I am Atradius! - Do you want to know who we are? Get to know Atradius colleagues in this video: T04 Op TU&t=4s Atradius is a global provider of credit insurance, bond and surety, collections and information services, with a strategic presence in over 50 countries. The products offered by Atradius protect companies around the world against the default risks associated with selling goods and services on credit. Atradius is a member of Grupo Catalana Occidente (GCO. MC), one of the largest insurers in Spain and one of the largest credit insurers in the world. You can find further information on our website: Country: Netherlands, Amsterdam, Spain, Madrid #J-18808-Ljbffr

EnAIT Tech Ventureestamos construyendoHABITTOS, una plataforma que combina hábitos, inteligencia artificial y datos reales del CRM para crearel primer OS de Growth y RevOps basado en disciplina.Un sistema que captura insights de clientes, sintetiza información crítica, puntúa actividad comercial

En SDG Group llevamos más de 30 años convirtiendo datos en impacto real. Somos una consultora global 100% especializada en Data, Analytics e Inteligencia Artificial, referente del sector según Gartner, Penteo y Everest Group.Somos especialistas, y eso nos da una profundidad técnica y un conocimiento de negocio que marcan la diferencia en la transformación data-driven de nuestros clientes: más de 1.000 proyectos desarrollados anualmente, equipos altamente especializados y soluciones que llegan a producción.Todo ello sustentado en nuestro Triple Expertise: visión de negocio, conocimiento tecnológico profundo y alianzas tecnológicas (Microsoft, Databricks, Snowflake, AWS, GCP, entre otras). Una combinación que nos ha llevado a trabajar con clientes del IBEX-35 y Fortune 500, contando con presencia global y más de 2.000 personas en todo el mundo.Si quieres crecer en el mundo del dato, este es el lugar.¿Cuál será tu misión?Realizar proyectos de ciertos ámbitos habituales en Data & IA Governance: modelos de gobierno, procesos y políticas, linaje, metadatos, privacidad, workflows, calidad del dato, glosario, ciclos de vida del dato, etc.Aplicar tus conocimientos en consulta y creación de estructuras en bases de datos, transformación de datos y SQL y/o scripting, así como demostrar capacidad para entender los impactos en los activos físicos, lógicos y de procesos.Conceptualizar soluciones con un pensamiento out of the box y mantener una mentalidad problem-solving.Comunicar de forma eficaz para reportar avances y/o bloqueos, divulgar los beneficios de gobierno e interactuar con negocio y equipos de gobierno.Practicar la escucha activa con el cliente, comunicar con claridad, desgranar procesos complejos y traducir aspectos técnicos a un lenguaje no técnico.Demostrar familiaridad con herramientas de gestión de cambios y documentación técnica y funcional (JIRA, Confluence, etc.).¿Qué te hará triunfar en esta posición?Experiencia de 2 a 4 años en el campo de la consultoría como gestor de proyectos, aportando experiencia en el área de Data & Analitycs.Formación en Ingeniería, Administración y Dirección de Empresas, Economía, gestión de proyectos etc.Trabajamos en entornos ágiles, por lo que valoramos que cuentes con Certificación Scrum máster y/o SAFe.Si tienes conocimiento enherramientas de gobierno del dato como Collibra o Informática así como en el framework de DAMA para ayudar a nuestros clientes a lograr inteligencia de datos y desbloquear el valor de los mismos sería genial.Habilidades analíticas y mentalidad problem-solving por qué tendrás que enfrentarte a entornos cambiantes.Buenas habilidades de comunicación y de gestión para ofrecerle la mejor experiencia a nuestros clientes.Poder tener una conversación fluida en inglés ya que hablarás con compañeros de otros países.Valorable: Haber trabajado o conocer herramientas de Gobierno del Dato (Collibra, Informatica, IBM Watson Governance, AnjanaData, Truedat, OpenMetadata, DataHub…).Valorable: Contar con certificaciones en frameworks de gobierno y herramientas (DAMA, CertGed, etc.).Aquí no somos una empresa más... ¡somos un equipo que va a por todas!La tecnología y los datos son nuestra esencia: No solo trabajamos con lo último del mercado, sino que te formaremos para que domines las herramientas más innovadoras en proyectos punteros y de nueva construcción con alto impacto. Además, contamos con un área de innovación donde exploramos nuevas alianzas y centros de I+D.Crecimiento y plan de carrera: Contarás con revisiones salariales semestrales o anuales, según la categoría profesional, y un desarrollo basado en meritocracia, con posibilidad de evolucionar hacia un camino más técnico o hacia posiciones de liderazgo y management.Aprendizaje y trabajo en equipo: Formarás parte de equipos con amplia experiencia tanto técnica como de negocio, en un entorno colaborativo donde podrás apoyarte en otros profesionales, aprender de referentes y desarrollarte constantemente.Diversidad con propósito: La adhesión a la Carta de la Diversidad en España refleja el compromiso con los principios europeos de igualdad, diversidad e inclusión en el entorno laboral. Diferentes perspectivas, mejores soluciones.Posición estable y con proyección: tendrás la oportunidad de construir tu carrera a largo plazo, en proyectos de Data & Analytics que generan impacto de verdad.Flexibilidad: Modelo de trabajo híbrido adaptado a las necesidades del equipo, con posibilidad de modalidad 100% remoto según la ubicación.Jornada intensiva los viernes y durante julio y agosto.Salario acorde a tu formación y experiencia.Apoyo económico para el teletrabajo.Formación continua: certificaciones oficiales, conferencias, workshops y cursos.Retribución flexible: ticket restaurante, ticket guardería, ayuda al transporte y seguro médico privado con Mapfre, extensible a tu familia.Sigue descubriendo quiénes somos:En nuestra web corporativaNuestras publicaciones y contenido en MediumEn nuestras redes sociales: Instagram, LinkedIn y YouTube#J-18808-Ljbffr

Buscamos un/a Program/Project Management Lead especializado/a en Knowledge Graphs, ontologías y semántica, para liderar proyectos de transformación de datos en entornos enterprise y contribuir al desarrollo de la capability de Graph & Semantics.La persona seleccionada tendrá un papel estratégico, combinando liderazgo técnico, gestión de proyectos, relación con cliente y desarrollo de equipo, trabajando en iniciativas relacionadas con Knowledge Graphs, integración semántica, MDM, Data Governance y soluciones Graph-RAG / GenAI.Principales responsabilidades:- Liderar el diseño, implementación y entrega de soluciones basadas en Knowledge Graphs, ontologías y tecnologías semánticas.- Dirigir proyectos enterprise de datos y analítica en diferentes sectores.- Definir y supervisar modelos de datos, arquitecturas semánticas e integraciones con plataformas de MDM, Data Catalog y Data Governance.- Gestionar la gobernanza y evolución de ontologías.- Liderar equipos multidisciplinares de Architects y Engineers especializados en grafos y semántica.- Participar en workshops con clientes y colaborar directamente con CDOs, arquitectos enterprise y equipos de datos.- Colaborar en propuestas comerciales, definición de soluciones y actividades de preventa.- Impulsar la creación y crecimiento de la capability de Graph & Semantics.- Participar en iniciativas relacionadas con GenAI/LLM y Graph-RAG, utilizando Knowledge Graphs como contexto estructurado.Requisitos:- 8–12 años de experiencia en Data & Analytics.- Al menos 3–4 años liderando iniciativas de Knowledge Graphs y/u ontologías.- Experiencia en proyectos enterprise de Knowledge Graph y ontologías.- Dominio de OWL, RDF, RDFS, SPARQL, SHACL y JSON-LD.- Experiencia con bases de datos de grafos como Neo4j, Amazon Neptune, Azure Cosmos DB, Stardog o GraphDB.- Conocimiento de Cypher y/o Gremlin.- Experiencia con Data Governance, MDM y Data Catalog.- Experiencia en entornos de consultoría o sistemas de integración, incluyendo gestión de cliente, workshops y propuestas.- Experiencia liderando equipos.- Inglés fluido obligatorio. Español muy valorable.Valorable:- Experiencia con ontologías de dominio como FIBO, CIM, SNOMED/HL7 o GS1.- Conocimiento de GenAI/LLM y Graph-RAG.- Experiencia con Data Mesh y governance federado.- Conocimiento de Collibra, Informatica IDMC, Apache Atlas o Alation.- Experiencia con AWS/Azure y servicios como S3, Glue, Athena, ADLS, ADF o Synapse.- Conocimiento de Amazon Bedrock o Azure OpenAI.- Participación en proyectos o comunidades open-source relacionadas con grafos y ontologías.Condiciones:- Jornada completa: 40 h/semana.- Modalidad: remoto/híbrido, con presencia puntual en cliente según proyecto.- Viajes puntuales.- Sin guardias previstas.- Tarifa máxima orientativa: 80Ks- Proyecto de larga duración y con alto componente estratégico.#J-18808-Ljbffr

Job DescriptionAccenture, reconocida como Great Place To Work®, una compañía líder mundial en servicios profesionales que ayuda a las principales empresas, administraciones públicas y otras organizaciones del mundo a desarrollar su core digital, optimizar sus operaciones, acelerar el crecimiento de sus ingresos y mejorar los servicios para los ciudadanos, creando valor tangible a velocidad y escala. Buscamos un perfil de SAP Data Migration Consultant con experiencia avanzada en migración de datos en entornos SAP S/4HANA, que quiera participar en programas de transformación digital de gran complejidad. Tendrás un rol clave interactuando con negocio y cliente, liderando procesos de migración en proyectos de implementación y roll out a gran escala. El puesto se desempeña en España en un modelo de trabajo híbrido realizando algunos días desde tu casa y otros en la oficina donde podrás crear interesantes sinergias con el resto de tu equipo.Job QualificationsFunciones: Diseño y ejecución de estrategias de migración de datos en proyectos SAP S/4HANA utilizando herramientas como SAP Migration Cockpit, LTMOM o ETL externas. Análisis, limpieza y transformación de datos legacy asegurando su calidad y consistencia antes de la carga en SAP. Definición de reglas de transformación y mapeos funcionales en colaboración con negocio. Ejecución de ciclos de migración (mock loads, validaciones, cutover) y soporte durante el go-live.ResponsabilidadesLiderar el proceso end-to-end de migración de datos en proyectos de implantación y roll out SAP. Actuar como punto de contacto con negocio y cliente para definir requisitos de datos y validar resultados. Coordinar actividades de migración con equipos funcionales, técnicos y de integración. Asegurar la calidad, integridad y trazabilidad de los datos migrados mediante controles y validaciones.CualificacionesRequisitos imprescindibles: Mínimo 5 años de experiencia en proyectos de migración de datos en SAP. Experiencia en al menos 2 proyectos de implantación o roll out en SAP S/4HANA con migración de datos. Mínimo 2 años de experiencia utilizando herramientas de migración como SAP Migration Cockpit, LTMOM o soluciones ETL. Experiencia mínima de 2 años en definición de validaciones de datos, reconciliación y control de calidad. Nivel de inglés mínimo B2 en conversación profesional. Grado universitario en Ingeniería Informática, Telecomunicaciones, ADE o áreas afines. Alternativamente, mínimo 4 años adicionales de experiencia en migración SAP como equivalencia. Requisitos valorables: Experiencia mínima de 1 año en herramientas de integración o ETL avanzadas (SAP Data Services, Informatica, Talend). Experiencia mínima de 1 año en proyectos internacionales o despliegues multi-país. Experiencia mínima de 1 año trabajando con metodologías ágiles (Scrum, SAFe). Experiencia en coordinación de equipos o liderazgo de streams de migración durante al menos 1 año. Certificaciones SAP relacionadas con S/4HANA o Data Migration. Se requiere conocimientos y experiencia en el uso de inteligencia artificial generativa y herramientas de IA aplicadas al puesto de trabajo, en línea con la apuesta de Accenture por un uso responsable y efectivo de la IA.BenefitsOtros beneficios como: Seguro médico, de Vida y accidentes Servicio médico y programas de bienestar Programa de retribución flexible y compra de acciones Programas de flexibilidad (horaria, de días libres, vacaciones...) Itinerario formativo individualizado Programas de sostenibilidad y Fundación Accenture Red de empleados por la diversidadOther benefitsOficina Bankinter con condiciones especiales y reparto de beneficiosTítulos sugeridosSenior SAP Data Migration Consultant SAP Data Migration Specialist S/4HANA SAP Data Migration Lead ConsultantAbout AccentureAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.Accenture.ComDeclaración de igualdad de oportunidades en el empleoCreemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.Bring your incredible skills and join our global team of innovatorsWe come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive.Explore your next step at Accenture Belong.Grow. Thrive. Join a great place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture#J-18808-Ljbffr

¡Apiux está buscando un/a CONSULTOR JAVA MICROSERVICIOS para MADRID!!! Somos una empresa tecnológica especializada en apoyar a organizaciones de todas las industrias en su proceso de Transformación Digital. Estamos presentes en Chile, Perú, Colombia, EE. UU, España y seguimos en constante expansión. Cliente: Líder en el Sector Experiencia: 5 años Contrato : Indefinido Modalidad: Presencial Madrid Conocimiento Clave: JAVA MICROSERVICIOS Horario: Oficina Incorporación: Inmediata Salario: 35.000 – 39.000 Requisitos Obligatorios: Experiencia superior a 5 años en desarrollo Java. Java 21. Maven. Spring Boot. Experiencia con microservicios. Conocimientos de SOAP (no necesariamente profundos). Resiliencia y tolerancia a fallos. Pruebas de integración, rendimiento y calidad de software. Virtualización mediante contenedores Docker. Monitorización y métricas. Control de versiones con Git. Integración continua con Jenkins. Metodologías ágiles de desarrollo. Spring Security. Conocimientos de JWT. Tener Finalizada la Ingenieria Informatica o equivalente Beneficios: Contrato indefinido Rango salarial competitivo en función a la experiencia 23 días de vacaciones Apiux Days: 4 días al año de vacaciones por permanencia en la empresa a partir del primer año y además, un sistema de puntos que puedes canjear por días libres. Apiux Academy: Formación, entrenamientos técnicos e interacción con la comunidad tech para desarrollar tu talento al máximo. Día de tu cumpleaños libre. Bonos por nacimiento, matrimonio y referidos. Descuentos en Open English Descuentos en la plataforma Coder House Proyectos de larga duración y en algunos casos internacionales. Y-Share: ¡Sé dueño de una parte de la compañía uniéndose a nuestro programa! Apiux Tecnología es una empresa que acelera y permite el crecimiento con tecnología, innovación y desarrollo del talento. Con ello, apoyamos a las organizaciones en su proceso de transformación digital, modernización e implementaciones ¡Aplica ahora y prepárate para liderar el cambio!

Grado Ingenieria Informatica o Ciberseguridad, FP superior de especialidades técnicas (ASIR, Telecomunicaciones, Especialización en Ciberseguridad, etc. LogiRAIL, filial del Grupo Renfe, ha puesto ya en marcha 7 Centros de Competencias Digitales (CCD) para la gestión de los servicios tecnológico

We're looking for a Lead Test Data Specialist to join our team in Madrid, Spain in a hybrid working mode. In this role, you will define test data strategies, design and provision datasets across multiple environments and ensure integrity, compliance and readiness for quality testing activities. You will collaborate with teams across test management, automation and delivery to support efficient software lifecycle processes in a highly regulated environment.This position provides the opportunity to lead test data operations involving complex financial scenarios, CI/CD integrations and masking automation, ensuring scalable and high-quality testing capabilities.ResponsibilitiesDesign, extract, transform and provision test datasets for various environments (UAT, TST50, TST60)Guarantee referential integrity of test data across interconnected systemsDevelop reusable, synthetic and masked datasets that mirror real-world business scenariosCoordinate with test data management teams and environment owners for refresh and population activitiesAutomate test data provisioning using SQL, Python, Shell and CI/CD tools (Jenkins, Docker, Git)Maintain a centralized inventory of test datasets with associated metadataAct as a point of contact for product owners and testing teams regarding test data needsEnsure compliance with security and regulatory requirements in handling test dataRequirementsBachelor’s or Master’s degree in Computer Science, Information Systems, Mathematics, Finance or related field3+ years of experience in Test Data Management within financial services or regulated domainsStrong proficiency in SQL and hands‑on experience with Oracle, MS SQL Server or PostgreSQL databasesFamiliarity with data masking tools (e.G., Delphix, Informatica) and test data virtualization techniquesSolid understanding of software development lifecycle (SDLC) and Agile methodologies (Scrum, Kanban)Knowledge of key test phases such as SIT, UAT and regression testingAnalytical mindset with strong attention to detail and a focus on data qualityProficiency in English (B2 or higher) with strong communication skillsNice to haveExperience supporting data compliance in banking or legal‑regulated environmentsKnowledge of continuous testing enablement through data automation frameworksFamiliarity with open‑source masking or synthetic data generation toolsExposure to CI/CD-driven test operations in large‑scale enterprise programsWe offerPrivate health insuranceEPAM Employees Stock Purchase Plan100% paid sick leaveReferral ProgramProfessional certificationLanguage coursesEPAM 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.Why Join EPAMWORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.#J-18808-Ljbffr

Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experiencedSenior Data Engineer to join our dynamic team on a full-time basis.About the ProjectWe are redefining CRM for the age of AI.We’re delivering on the original promise of CRM - turning fragmented customer and revenue signals into clear, prioritized action. Instead of more dashboards or surface-level insights, we help teams focus on what matters most and know exactly what to do next.More than two decades after our founding, we’re entering a new chapter with clarity and momentum - building intelligent, intuitive solutions that work within the flow of how teams actually sell and serve. We’re focused on solving complex, real-world challenges where relationships, context, and precision make all the difference.Our global team is united by a shared commitment to impact, ownership, and continuous growth. We create an environment where thoughtful ideas move quickly, where people are trusted to lead, and where flexibility supports how great work gets done.If you’re excited to help shape what’s next in AI-driven CRM - and build technology that drives real outcomes - we’d love to meet you.Where You Fit InThe predictive data platform powers revenue intelligence for mid-market enterprises by fusing ERP and CRM data into actionable insights.As a Senior Data Engineer, you will own the Databricks pipelines that make this possible, driving production reliability, cost efficiency, and platform growth through customer onboarding and legacy modernization.You will work closely with ML engineers, product teams, and the Enterprise Architecture team to ensure the data backbone behind the predictive platform is always fast, clean, and ready to deliver at a global scale.Impact You Will Make in the RoleOwn Databricks production support for the predictive data platform, including monitoring, alerting, and incident response across all production data flows.Maintain and report on SLA performance metrics for data pipeline delivery, ensuring visibility into platform health and accountability across internal and external stakeholders.Identify and implement pipeline optimizations that reduce Databricks compute costs, improve throughput, and reduce processing windows while tracking impacts through measurable KPIs.Migrate legacy ETL/ELT pipelines to Databricks, building automation tooling to reduce manual intervention and ensure uninterrupted data delivery during transitions.Support new customers onboarding by provisioning, validating, and hardening tenant data pipelines that deliver reliable, isolated data from day one.Design and build high-performance Databricks pipelines that ingest, transform, and serve ERP and CRM data at scale across both Azure and AWS environments.Own the Delta Lake architecture including schema design, partitioning strategies, data quality enforcement, and incremental processing patterns.Enforce data security best practices across Databricks environments, including role-based access control, secrets management, and compliance requirements for enterprise CRM and ERP data.Implement data quality monitoring and observability across pipeline health and ML model inputs, ensuring data integrity that directly supports model prediction accuracy.Apply and enforce multi-tenant data isolation patterns ensuring reliable, secure data delivery across enterprise customers.Partner with the Enterprise Architecture team to ensure data pipelines integrate seamlessly with the broader product ecosystem.Support a globally distributed operation through on-call rotation and after-hours incident response, meeting SLAs across multiple time zones.Maintain technical documentation, runbooks, and architectural decision records, contributing to team knowledge sharing and operational readiness across on-call and incident response scenarios.Apply CI/CD best practices to data pipeline development, including version control, automated testing, and deployment tooling to ensure reliable and repeatable pipeline delivery.4+ years of data engineering experience.At least 2 years on Databricks or the Apache Spark ecosystem across Azure and/or AWS.Proficiency in PySpark, SQL, and Python with a strong track record building and operating production-grade pipelines under SLA constraints.Hands-on experience with Delta Lake including schema evolution, ACID transactions, optimize/vacuum lifecycle, and both incremental and streaming processing patterns.Hands-on experience with pipeline performance tuning and compute optimization in production Databricks environments.Solid working knowledge of PostgreSQL including query optimization, schema design, and use as a source or sink in production data pipelines.Experience supporting and maintaining legacy ETL tooling (SSIS, Informatica, custom Python/SQL pipelines, or similar) in production.Experience supporting large-scale multi-tenant architectures with a focus on tenant isolation, per-tenant performance, and data privacy, including navigating tools and platforms that default to single-tenant assumptions.Proven ability to work collaboratively across Data Science, Product, and Infrastructure teams, owning end-to-end delivery in a cross-functional environment.Strong understanding of data governance, security, and compliance principles, including access control, data privacy, and protection of sensitive enterprise data across multi-tenant environments.Preferred Qualifications / ExperienceExperience operating Databricks workspaces across both Azure and AWS, including cost governance, cluster management, and cross-cloud data access.Experience optimizing Databricks workloads in a Serverless environment, including compute cost governance and performance tuning for serverless compute.Experience with Microsoft SQL Server in a data engineering or ETL context.Exposure to ML feature engineering or feature stores (Databricks Feature Store, Feast, or similar) supporting predictive analytics.Experience with customer onboarding automation or IaC patterns for provisioning tenant data pipelines at scale.Databricks Certified Data Engineer Associate or Professional certification.#J-18808-Ljbffr

Would you like to join an international team working to improve the future of healthcare? Do you want to enhance the lives of millions of people? Grifols is a global healthcare company that since 1909 has been working to improve the health and well-being of people around the world. We are leaders in plasma-derived medicines and transfusion medicine and develop, produce and market innovative medicines, solutions and services in more than 110 countries and regions.We believe that diversity adds value to our business, our teams, and our culture. We are committed to equal employment opportunities, fostering an inclusive environment where diversity makes us outstanding.What Your Responsibilities Will BeMaster Data Management & Golden RecordsHelp define, implement and evolve Master Data Management capabilities across key enterprise domains such as customer, supplier, product, material, donor, employee or location data.Support the definition of golden record rules, matching, merging, survivorship, hierarchy management and data synchronization patterns across systems.Collaborate with Data Engineering and application teams to integrate master data with ERP, CRM, analytics platforms, data lakes, data warehouses and downstream reporting solutions.Contribute to the design and operation of MDM workflows for data creation, change, approval, exception handling, de-duplication and lifecycle management.Data Governance, Quality & ComplianceSupport the implementation of data governance policies, standards, ownership, stewardship responsibilities, decision rights and escalation mechanisms. Make data standards available for Advance Analytics consumption: data AI readiness.Define and monitor data quality rules, KPIs, thresholds and remediation processes to improve accuracy, completeness, consistency, timeliness and trust.Work with business data owners and stewards to identify root causes of data issues and drive sustainable corrective actions at the source.Ensure data initiatives consider security, privacy, auditability, regulatory expectations and compliance requirements in a highly regulated environment.Experience building and maintaining data catalogs for lake house environments, ensuring that high-value analytical variables and datasets are documented, contextualized and reusable for Advanced Analytics, AI use cases and MDM initiativesExperience defining business ontologies, semantic models and controlled vocabularies to improve data consistency, interoperability, discoverability and AI-readiness across enterprise data domains.Knowledge of AI governance concepts, data governance for AI, responsible AI principles, privacy-by-design, data risk assessment and emerging regulatory expectations such as the EU AI Act.Enterprise Data Transformation & Operating ModelSupport the execution of the company data transformation roadmap, helping move the organization toward governed, trusted and reusable enterprise data capabilities.Translate strategic data objectives into actionable initiatives, deliverables, milestones and adoption plans across IT and business domains.Contribute to the definition and implementation of a hybrid / federated data operating model, balancing central standards with business domain execution.Drive coordination across Data Office, IT teams, Business stakeholders, external partners and data owners to ensure consistent execution and accountability.Metadata, Catalog, Lineage & DocumentationPromote the adoption of business glossaries, data dictionaries, metadata standards and cataloging practices to improve discoverability and common understanding of data.Support the documentation of critical data flows, lineage, transformations, ownership, usage, controls and dependencies across source systems and analytical platforms.Help establish reusable templates, standards and ways of working for documenting data architecture, MDM domains, data products, data marketplace publishing practices and governance processes.Who You AreTo perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, education, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions).Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering or a related field.Minimum of 5 years of experience in data management, master data management, data governance, data quality, data architecture or enterprise data transformation initiatives.Experience with MDM concepts and platforms such as Reltio, SAP MDG, Informatica MDM, Semarchy, Profisee or similar solutions, data lakes and data catalog tools.Knowledge of data governance frameworks, data ownership, stewardship, data quality management, metadata management, cataloging and lineage. Experience with Microsoft Purview.Understanding of data integration patterns, APIs, ETL/ELT, data pipelines, ERP integration and analytical data platforms.Advanced English language skills, both spoken and written.Strong ownership mindset, accountability and ability to drive topics from ambiguity to execution.Excellent stakeholder management and communication skills, with the ability to influence without direct authority across business and IT teams. Collaboration.Ability to facilitate workshops, align different perspectives and convert complex data topics into clear decisions and practical actions.Comfortable operating in a matrixed, global organization and coordinating with teams across functions, geographies and time zones.Pragmatic, structured and delivery-oriented, with the ability to balance governance discipline with business agility.Continuous improvement mindset and willingness to build internal capability through knowledge transfer, documentation and enablement.What We OfferIt is a brilliant opportunity for you, Grifols is fully aware that its employees are one of its major assets. We are committed to maintaining an atmosphere that encourages all our employees to develop their professional careers in an excellent working environment.We believe in diverse talent and want to remove any barriers that may hinder your participation. If you require any adjustments in our selection process, please do not hesitate to inform us when applying. We are here to help.Flexibility for U ProgramHybrid Model.Benefits PackageContract of Employment: Permanent position.Location: Parets del Vallès.Www.Grifols.ComLocation: SPAIN : España : Parets del Valles:[[cust_building]]Learn more about Grifols#J-18808-Ljbffr

We're looking for a Lead Test Data Specialist to join our team in Madrid, Spain in a hybrid working mode. In this role, you will define test data strategies, design and provision datasets across multiple environments and ensure integrity, compliance and readiness for quality testing activities. You will collaborate with teams across test management, automation and delivery to support efficient software lifecycle processes in a highly regulated environment.This position provides the opportunity to lead test data operations involving complex financial scenarios, CI/CD integrations and masking automation, ensuring scalable and high-quality testing capabilities.Responsibilities- Design, extract, transform and provision test datasets for various environments (UAT, TST50, TST60)- Guarantee referential integrity of test data across interconnected systems- Develop reusable, synthetic and masked datasets that mirror real-world business scenarios- Coordinate with test data management teams and environment owners for refresh and population activities- Automate test data provisioning using SQL, Python, Shell and CI/CD tools (Jenkins, Docker, Git)- Maintain a centralized inventory of test datasets with associated metadata- Act as a point of contact for product owners and testing teams regarding test data needs- Ensure compliance with security and regulatory requirements in handling test dataRequirements- Bachelor’s or Master’s degree in Computer Science, Information Systems, Mathematics, Finance or related field- 3+ years of experience in Test Data Management within financial services or regulated domains- Strong proficiency in SQL and hands‑on experience with Oracle, MS SQL Server or PostgreSQL databases- Familiarity with data masking tools (e.G., Delphix, Informatica) and test data virtualization techniques- Solid understanding of software development lifecycle (SDLC) and Agile methodologies (Scrum, Kanban)- Knowledge of key test phases such as SIT, UAT and regression testing- Analytical mindset with strong attention to detail and a focus on data quality- Proficiency in English (B2 or higher) with strong communication skillsNice to have- Experience supporting data compliance in banking or legal‑regulated environments- Knowledge of continuous testing enablement through data automation frameworks- Familiarity with open‑source masking or synthetic data generation tools- Exposure to CI/CD-driven test operations in large‑scale enterprise programsWe offer- Private health insurance- EPAM Employees Stock Purchase Plan- 100% paid sick leave- Referral Program- Professional certification- Language coursesEPAM 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.- Why Join EPAM- WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.- CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.- CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.- STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.#J-18808-Ljbffr

We believe that diversity adds value to our business, our teams, and our culture. We are committed to equal employment opportunities, fostering an inclusive environment where diversity makes us outstanding.What Your Responsibilities Will BeMaster Data Management & Golden RecordsHelp define, implement and evolve Master Data Management capabilities across key enterprise domains such as customer, supplier, product, material, donor, employee or location data.Support the definition of golden record rules, matching, merging, survivorship, hierarchy management and data synchronization patterns across systems.Collaborate with Data Engineering and application teams to integrate master data with ERP, CRM, analytics platforms, data lakes, data warehouses and downstream reporting solutions.Contribute to the design and operation of MDM workflows for data creation, change, approval, exception handling, de-duplication and lifecycle management.Data Governance, Quality & ComplianceSupport the implementation of data governance policies, standards, ownership, stewardship responsibilities, decision rights and escalation mechanisms. Make data standards available for Advance Analytics consumption: data AI readiness.Define and monitor data quality rules, KPIs, thresholds and remediation processes to improve accuracy, completeness, consistency, timeliness and trust.Work with business data owners and stewards to identify root causes of data issues and drive sustainable corrective actions at the source.Ensure data initiatives consider security, privacy, auditability, regulatory expectations and compliance requirements in a highly regulated environment.Experience building and maintaining data catalogs for lake house environments, ensuring that high-value analytical variables and datasets are documented, contextualized and reusable for Advanced Analytics, AI use cases and MDM initiativesExperience defining business ontologies, semantic models and controlled vocabularies to improve data consistency, interoperability, discoverability and AI-readiness across enterprise data domains.Knowledge of AI governance concepts, data governance for AI, responsible AI principles, privacy-by-design, data risk assessment and emerging regulatory expectations such as the EU AI Act.Enterprise Data Transformation & Operating ModelSupport the execution of the company data transformation roadmap, helping move the organization toward governed, trusted and reusable enterprise data capabilities.Translate strategic data objectives into actionable initiatives, deliverables, milestones and adoption plans across IT and business domains.Contribute to the definition and implementation of a hybrid / federated data operating model, balancing central standards with business domain execution.Drive coordination across Data Office, IT teams, Business stakeholders, external partners and data owners to ensure consistent execution and accountability.Metadata, Catalog, Lineage & DocumentationPromote the adoption of business glossaries, data dictionaries, metadata standards and cataloging practices to improve discoverability and common understanding of data.Support the documentation of critical data flows, lineage, transformations, ownership, usage, controls and dependencies across source systems and analytical platforms.Help establish reusable templates, standards and ways of working for documenting data architecture, MDM domains, data products, data marketplace publishing practices and governance processes.Who You AreTo perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, education, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions).Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering or a related field.Minimum of 5 years of experience in data management, master data management, data governance, data quality, data architecture or enterprise data transformation initiatives.Experience with MDM concepts and platforms such as Reltio, SAP MDG, Informatica MDM, Semarchy, Profisee or similar solutions, data lakes and data catalog tools.Knowledge of data governance frameworks, data ownership, stewardship, data quality management, metadata management, cataloging and lineage. Experience with Microsoft Purview.Understanding of data integration patterns, APIs, ETL/ELT, data pipelines, ERP integration and analytical data platforms.Advanced English language skills, both spoken and written.Strong ownership mindset, accountability and ability to drive topics from ambiguity to execution.Excellent stakeholder management and communication skills, with the ability to influence without direct authority across business and IT teams. Collaboration.Ability to facilitate workshops, align different perspectives and convert complex data topics into clear decisions and practical actions.Comfortable operating in a matrixed, global organization and coordinating with teams across functions, geographies and time zones.Pragmatic, structured and delivery-oriented, with the ability to balance governance discipline with business agility.Continuous improvement mindset and willingness to build internal capability through knowledge transfer, documentation and enablement.What We OfferIt is a brilliant opportunity for you, Grifols is fully aware that its employees are one of its major assets. We are committed to maintaining an atmosphere that encourages all our employees to develop their professional careers in an excellent working environment.Information about Grifols is available at www.Grifols.Com.We believe in diverse talent and want to remove any barriers that may hinder your participation. If you require any adjustments in our selection process, please do not hesitate to inform us when applying. We are here to help.Grifols is an equal opportunity employer.Flexibility for U Program: Hybrid Model.Benefits PackageContract of Employment:Permanent position.Location: Parets del Vallès.Www.Grifols.ComLocation: SPAIN : España : Parets del Valles:[[cust_building]]Learn more about Grifols#J-18808-Ljbffr

Описание: EPAM provides enterprise software products, open source solutions, and accelerators through its SolutionsHub and related technology brands.Задачи- Design, extract, transform, and provision test datasets for UAT, TST50, and TST60 environments- Guarantee referential integrity of test data across interconnected systems- Develop reusable, synthetic, and masked datasets that mirror real-world business scenarios- Coordinate with test data management teams and environment owners on refresh and population activities- Automate test data provisioning using SQL, Python, Shell, Jenkins, Docker, and Git- Maintain a centralized inventory of test datasets with associated metadata- Act as a point of contact for product owners and testing teams regarding test data needs- Ensure compliance with security and regulatory requirements when handling test dataТребования- Bachelor’s or Master’s degree in Computer Science, Information Systems, Mathematics, Finance, or a related field- 3+ Years of experience in Test Data Management within financial services or regulated domains- Strong proficiency in SQL and hands‑on experience with Oracle, MS SQL Server, or PostgreSQL databases- Familiarity with data masking tools such as Delphix and Informatica and test data virtualization techniques- Solid understanding of software development lifecycle (SDLC) and Agile methodologies, including Scrum and Kanban- Knowledge of SIT, UAT, and regression testing phases- Analytical mindset with strong attention to detail and focus on data quality- English B2 or higher with strong communication skills- Nice to have: experience supporting data compliance in banking or legal-regulated environments, knowledge of continuous testing enablement through data automation frameworks, familiarity with open-source masking or synthetic data generation tools, exposure to CI/CD-driven test operations in large-scale enterprise programs.УсловияHybrid working mode in Madrid, Spain.#J-18808-Ljbffr

TÉCNICO/A DE ANÁLISIS DE DATOS - IAApplylocations:Spain, Madridposted on:Posted 3 Days Agojob requisition id:R-23380¿Te apasiona el mundo del dato y su capacidad para transformar un negocio global? ¿Te gustaría formar parte de una compañía energética líder y trabajar con equipos internacionales en iniciativas de analítica avanzada, IA y gobierno del dato?En Iberdrola, buscamos incorporar un/a Técnico de Datos para reforzar nuestro equipo de Financiación y Tesorería en la ejecución, desarrollo y gobierno de iniciativas de datos en un entorno multidisciplinar e innovador.TU MISIÓN SERÁ Desarrollar y mantener iniciativas de análisis de datos, asegurando la generación de información estratégica para la Dirección. Impulsarás el valor del dato como activo, participando en proyectos globales, asegurando su calidad, integridad y trazabilidad, y habilitando nuevos KPIs, modelos y cuadros de mando que permitan mejorar la eficiencia y la toma de decisiones.* Contribuirás en los Proyectos del Dato, colaborando con diversos equipos corporativos en varios países.FUNCIONES Y RESPONSABILIDADES Liderar casos de datos desde el inicio hasta su implantación: análisis, diseño funcional, modelado, desarrollo, validación y puesta en producción. Comprender en detalle los procesos de negocio y traducirlos en estructuras, reglas y modelos de datos robustos. Construcción de modelos de datos (relacional, semántico o analítico) para reporting, automatización o Inteligencia Artificial. Elaboración de cuadros de mando en Power BI Desarrollo DAX avanzado Desarrollo en SQL avanzado (queries, transformaciones, optimización, tuning, calidad). Desarrollo en Python para procesos automáticos, validación de calidad, transformaciones o analítica. Conocimientos de Azure y sus herramientas para analítica de datosAnálisis y presentación de resultados a Dirección mediante storytelling basado en datos. Coordinación con equipos de sistemas, data platform, equipos locales y globales. Colaboración en la extensión y crecimiento del Data Lake corporativo. Mantenimiento del catálogo de datos, linaje y glosarios de negocio. Soporte funcional en herramientas de gobierno del dato (como Informatica). Participación activa en comités, revisiones y auditorías de datos. Asegurar la integridad, consistencia y cumplimiento de los estándares del Grupo.REQUISITOS Titulación en ingeniería del dato, informática, matemáticas o similares. Inglés C1 – imprescindible para trabajar con equipos globales.* Mínimo 2 años de experiencia en roles relacionados con análisis y modelado de datos, BI / reporting / KPIs, proyectos de Inteligencia Artificial y gobierno del dato o calidad del dato (deseable) en entornos corporativos.HABILIDADES Capacidad de trabajo en equipo en entornos globales y multidisciplinares. Atención al detalle y enfoque riguroso al dato. Comunicación clara, tanto escrita como verbal, capaz de traducir conceptos técnicos en lenguaje de negocio. Alta capacidad analítica y pensamiento crítico. Orientación a resultados y capacidad para gestionar prioridades. Visión global, flexibilidad y autonomía.* Competencias técnicas: SQL, Power BI, Azure, Synapse Analytics, Python, modelado de datos avanzado, experiencia en Data Lakes, y soluciones cloud (Azure, AWS, o Snowflake)Lo que ofrecemos· Formar parte de una compañía global, diversa e innovadora.· Participar en proyectos estratégicos con impacto directo en las cuentas del Grupo.· Entorno colaborativo con equipos multidisciplinares en diferentes geografías.· Planes de desarrollo profesional y formación continua.· Localización: Madrid o Bilbao.Nuestro proceso de selección*En Iberdrola la diversidad, equidad e inclusión son puntos esenciales en nuestro día a día. Nos enorgullecemos de ser una compañía donde hay igualdad de oportunidades y donde todas las personas son bienvenidas, valoradas y respetadas independientemente de sexo, discapacidad, raza, religión, orientación sexual, edad, estado civil, nacionalidad o identidad de género.*Fecha de finalización de la publicación:#J-18808-Ljbffr

Thomas Morgan International seeks a Data / Data Management Consultant to work in Spain or remotely, delivering data governance, architecture, and strategy across multiple cities (Sant Cugat, Madrid, Valencia, Alicante, Zaragoza, Lleida) with option for remote work.The role requires fluency in English and experience with major data management tools (Informatica, Erwin, Denodo, Dremio, Pentaho, PowerDesigner).#J-18808-Ljbffr

Select how often (in days) to receive an alert:Integration EngineerDate: Sep 2, 2026Location: Sant Just Desvern, B, ES, 08960City : Sant Just Desvern State : Barcelona (ES-B) Country : Spain (ES) Requisition Number : 46823Bunge has an exciting opportunity available for an Integration Engineer. In this role, you will be part of a global team working on challenging, meaningful projects impacting core business activities. Since 1818, Bunge has been connecting farmers to consumers to deliver essential food, feed, and fuel to the world. Looking to the future, our ambition is to continuously reinvent ourselves, leveraging data to be at the forefront of analytics, technology, and talent to accomplish our purpose in a better, faster, and simpler way. Bunge is committed to operating and thriving in the digital world – creating world-class agile teams where teammates are empowered and encouraged to collaborate and test and learn to succeed.At Bunge, people don’t just come here to work, they come here to grow – solving challenges that directly impact the world with a diverse team of thinkers and doers. Bunge offers a strong compensation and benefits package, generous paid time off program, flexible work arrangements, and opportunity to progress. Our hybrid work environment provides a balance of in-office and remote work.Most importantly, in all we do we live our values:Act as One Team by fostering inclusion, collaboration, and respectDrive for Excellence by being agile, innovative, and efficientDo What's Right by acting safely, ethically, and sustainablyOverview:The Integration Engineer will demonstrate a high level of professionalism, prioritizing platform stability, scalability, security, and operational excellence for our integration environment. As a key member of the Business Technology, Integration Platforms team, the Integration Platform Engineer is responsible for designing, developing, supporting, and optimizing enterprise integrations while contributing to the reliability, scalability, security, and performance of our integration platforms.The role combines platform engineering, integration development, and operational support responsibilities across Bunge's integration landscape. Responsibilities include developing and maintaining integrations, managing platform services and infrastructure, implementing automation and CI/CD capabilities, and supporting the ongoing operation and enhancement of existing integrations. Experience with enterprise integration platforms such as MuleSoft Anypoint Platform, SAP BTP Integration Suite, or similar technologies is highly desirable. This role also provides crucial support for integration platforms and services, which may include on-call or guard duty responsibilities.Essential Functions:Design, develop, enhance, and maintain enterprise integrations, APIs, and integration services supporting key business processes.Build and maintain infrastructure and supporting services for Mulesoft Anypoint Platform and SAP BTP Integration Suite.Develop and implement CI/CD pipelines for automated deployment, testing, monitoring, and management of integrations.Ensure platform stability, performance, security, and compliance.Support production integrations through monitoring, incident resolution, troubleshooting, root cause analysis, and continuous improvement activitiesDefine and implement best practices and guidelines for integration development.Collaborate with business and technical teams to gather requirements, design solutions, and deliver integration initiatives.Provide technical support and guidance to Integration Engineers.Drive platform infrastructure automation and optimization.Manage platform resources and services.Monitor platform health and performance.Evaluate new tools and technologies to enhance the integration platform.Collaborate with other engineers, architects, and stakeholders to ensure alignment and successful project delivery.Knowledge and Technical Competencies:Bachelor's degree in Computer Science, Software Engineering, or a related field.3-5+ years of experience in integration engineering, software engineering, platform engineering, middleware technologies, or a related role.Experience with MuleSoft Anypoint Platform and/or SAP BTP Integration Suite is highly desirableStrong understanding of enterprise integration patterns, APIs, messaging concepts, and integration best practicesExperience with CI/CD pipelines and related tools (e.G., Jenkins, Git, Azure DevOps).Experience with cloud platforms such as GCP, AWS, or Azure.Solid understanding of platform and application security best.Experience with troubleshooting, monitoring, performance tuning, and operational support of enterprise applications and integrations. Experience with one or more enterprise integration technologies, such as MuleSoft, SAP Integration Suite, Boomi, Azure Integration Services, Informatica, or similar platforms.Beneficial skills include API management, event-driven architecture, data modeling, database technologies, and relevant integration platform certifications.At Bunge (NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world. As a premier agribusiness solutions provider, our team of ~34,000 dedicated employees partner with farmers across the globe to move agricultural commodities from where they’re grown to where they’re needed—in faster, smarter, and more efficient ways. We are a world leader in grain origination, storage, distribution, oilseed processing and refining, offering a broad portfolio of plant-based oils, fats, and proteins. We work alongside our customers at both ends of the value chain to deliver quality products and develop tailored, innovative solutions that address evolving consumer needs. With 200+ years of experience and presence in over 50 countries, we are committed to strengthening global food security, advancing sustainability, and helping communities prosper where we operate. Bunge has its registered office in Geneva, Switzerland and its corporate headquarters in St. Louis, Missouri. Learn more at Bunge.Com.Every day our people exemplify these values, which represent Bunge at its core:We Are One Team – Collaborative, Respectful, InclusiveWe Lead The Way – Agile, Empowered, InnovativeWe Do What’s Right – Safety, Sustainability, With IntegrityIf this sounds like you, join us! We value and invest in people who believe in our purpose and are excited to live it every day – people who are #ProudtoBeBunge#J-18808-Ljbffr

We're looking for a Lead Test Data Specialist to join our team in Madrid, Spain in a hybrid working mode. In this role, you will define test data strategies, design and provision datasets across multiple environments and ensure integrity, compliance and readiness for quality testing activities. You will collaborate with teams across test management, automation and delivery to support efficient software lifecycle processes in a highly regulated environment.This position provides the opportunity to lead test data operations involving complex financial scenarios, CI/CD integrations and masking automation, ensuring scalable and high-quality testing capabilities.ResponsibilitiesDesign, extract, transform and provision test datasets for various environments (UAT, TST50, TST60)Guarantee referential integrity of test data across interconnected systemsDevelop reusable, synthetic and masked datasets that mirror real-world business scenariosCoordinate with test data management teams and environment owners for refresh and population activitiesAutomate test data provisioning using SQL, Python, Shell and CI/CD tools (Jenkins, Docker, Git)Maintain a centralized inventory of test datasets with associated metadataAct as a point of contact for product owners and testing teams regarding test data needsEnsure compliance with security and regulatory requirements in handling test dataRequirementsBachelor’s or Master’s degree in Computer Science, Information Systems, Mathematics, Finance or related field3+ years of experience in Test Data Management within financial services or regulated domainsStrong proficiency in SQL and hands-on experience with Oracle, MS SQL Server or PostgreSQL databasesFamiliarity with data masking tools (e.G., Delphix, Informatica) and test data virtualization techniquesSolid understanding of software development lifecycle (SDLC) and Agile methodologies (Scrum, Kanban)Knowledge of key test phases such as SIT, UAT and regression testingAnalytical mindset with strong attention to detail and a focus on data qualityProficiency in English (B2 or higher) with strong communication skillsNice to haveExperience supporting data compliance in banking or legal-regulated environmentsKnowledge of continuous testing enablement through data automation frameworksFamiliarity with open-source masking or synthetic data generation toolsExposure to CI/CD-driven test operations in large-scale enterprise programsWe offerPrivate health insuranceEPAM Employees Stock Purchase Plan100% paid sick leaveReferral ProgramProfessional certificationLanguage coursesEPAM 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.Why Join EPAMWORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.#J-18808-Ljbffr

Hexagon’s Geosystems Business Area provides digital solutions that capture, measure and visualise the physical world, enabling data-driven transformation.The Customer Data Steward supports Hexagon I&G's Customer Master Data (CCMD) programme by owning data quality & key business processes for a defined customer data domain. The candidate should have experience working within a global organisation serving multiple interconnected businesses across sales, marketing, finance, IT, and digitalisation.As a key member of our team, you will be the first point of escalation for customer data quality issues, working closely with the Customer Master Data Manager to trace issues back to source systems and processes. The successful candidate will help maintain data standards, support deduplication and matching rules, and report on data quality trends to drive continuous improvement across the business.Customer Data Steward (f/m/d)Barcelona100%This appeals to youData Quality Ownership: Own data quality for a defined customer data domain, ensuring accuracy, completeness, and consistency of customer records.Domain Ownership &Roadmap: Take end-to-end ownership of the customer data domain, defining and managing a long-term roadmap for data quality and process change, and prioritising initiatives in line with wider CCMD programme goals.Escalation Management: Act as the first point of escalation for data quality issues and exceptions, coordinating resolution with business and IT stakeholders.Root Cause Analysis: Work with the Customer Master Data Manager to trace data quality issues back to their source, identifying and addressing underlying process and system gaps.Data Standards & Documentation: Maintain and contribute to data standards, business glossaries, and data dictionaries, including naming conventions, mandatory fields, and classification schemes.Deduplication & Matching: Support the definition and refinement of deduplication and matching rules to improve golden record creation.Reporting: Report on data quality metrics and trends, using dashboards and exception reports to highlight areas for improvement.Stakeholder Collaboration: Work across sales, marketing, finance, IT, and digitalisation to resolve data conflicts and champion changes to processes and systems.Change Management: Support the rollout of new data standards and processes to business users, translating technical issues into business language to aid adoption.This is youPrior experience in a data steward, data quality analyst, or MDM analyst role.Strong data governance mindset; understands data as a business asset and applies stewardship principles consistently across systems.Excellent attention to detail, able to spot inconsistencies, duplicates, and quality issues others miss.Understanding of master data management (MDM) concepts, including golden record creation, mastering rules, and matching/deduplication logic.Experience with MDM or CRM platforms (e.G. Salesforce, SAP, Profisee, Boomi, Informatica).Experience with data quality tooling – profiling, validation, and monitoring via dashboards and exception reports.SQL or query-based data investigation skills.Understanding of data models, including customer hierarchies, account types, industry classifications, and contact relationships.Familiarity with data privacy/compliance requirements (GDPR or equivalent) as they apply to customer data.Experience defining or applying customer data standards and working within or supporting a customer master data programme.Track record of working with both business and IT stakeholders to resolve data ownership and quality issues.Strong communication skills; able to translate technical issues to business language to support divisional and region adoption.Fluent in English is a must.About usHexagon is a leading provider of digital reality solutions and employs more than 24,000 people in 50 countries. You will be part of a strong, experienced, inspiring and motivated team of experts working together to shape the future of Hexagon. You can utilise and develop your skills in our highly innovative and diverse environment. Flexible working models allow you to ideally combine your professional and private interests.ContactIf you have any questions, please do not hesitate to contact Dominik Kung, Talent Acquisition Partner.#J-18808-Ljbffr

ResponsibilitiesStrategy & Definition: You will lead the definition and implementation of governance frameworks, policies, and procedures in close collaboration with our clients.Data Culture: Act as an evangelist for data quality, providing training and ensuring that governance is embedded into the project's DNA.Control & Visibility: Implement control dashboards to monitor the health and compliance of data governance.Stakeholder Leadership: Translate complex business needs into technical requirements, coordinating teams to ensure excellent delivery.RequirementsExperience: +7 years of solid experience in strategic Data Governance roles.Frameworks: Mastery of frameworks such as DAMA and experience defining taxonomies, roles, policies, and operating models.Tech Stack: Hands-on experience with leading tools (Truedat, Collibra, Anjana, Informatica, or Purview).Soft Skills: Strong analytical skills, C-Level communication abilities, and comfort working in dynamic, agile environments.Languages: Fluency in Spanish and English (for national and international projects).Bonus PointsKnowledge of SQL and data modeling.Experience in Master Data Management (MDM) and data integration.BenefitsStability: Permanent contract with a competitive market salary (based on skills and technical expertise, ensuring internal equity and performance-based growth).Work-Life Balance: Flexible remote work! You’ll also have access to our headquarters in Madrid and our hubs in Alicante, Barcelona, Bilbao, and Malaga.Flexibility: Flexible start/end times and intensive working hours on Fridays and during the summer months (July and August).Time Off: 23 days of vacation per year.Social Benefits: Restaurant card and comprehensive Health & Dental insurance.Flexible Remuneration: Options for Transport and Childcare plans.Growth: Gamified continuous learning via our Rewards Plan, featuring over 1,000 courses and official certifications.Mentorship: Access to our Career Coach program to guide your professional development with an objective continuous evaluation system. You own your growth!Birthday Treat: A €50 Pass Gift Card on your birthday month.Our Commitment to DiversityWe believe diversity enriches us. We are committed to inclusion and equal opportunities through our Equality Plan and Code of Ethics. We guarantee non-discrimination based on race, color, nationality, age, gender, sexual orientation, religion, or any other personal or social condition.#J-18808-Ljbffr

Métrica Consulting busca un Data Engineer AWS Glue para un proyecto estratégico en el que integrarás flujos de datos, pipelines y soluciones de almacenamiento en la nube. Se valoran Python, PySpark y SQL básico‑medio; experiencia con AWS Glue y Informatica ETL/BDM es deseable. Modalidad REMOTO, jornada completa y entorno colaborativo Agile. Ofrecen salario negociable acorde a experiencia, formación online, plan de desarrollo profesional y contrato indefinido. #J-18808-Ljbffr

T-Systems somos un equipo de más de 28.000 personas empleadas en todo el mundo, convirtiéndonos en uno de los principales proveedores mundiales de soluciones integradas de extremo a extremo. Desarrollamos soluciones de cloud híbrida, inteligencia artificial e impulsamos la transformación digital de las empresas, la industria, el sector público y en definitiva, de toda la sociedad.Descripción del empleoBuscamosun/a experto/a en modelado de datos y Snowflakeque se una a nuestro equipo de Data. La persona que se incorpore ha de tener capacidad analítica, habilidades comunicativas y orientación a resultados.Tendremos en consideración candidaturas de toda España.¿Cuáles serán tus tareas?Diseñar y mantener la arquitectura de datos basada en Snowflake, asegurando la eficiencia, disponibilidad y escalabilidad de las soluciones.Definir modelos de datos lógicos y físicos optimizados para analítica y rendimiento.Implementar y mantener pipelines ETL/ELT utilizando herramientas como dbt, Airflow o Snowpipe.Garantizar la gobernanza, seguridad y calidad del dato en todo el ciclo de vida.Participar en la definición de estándares de modelado, naming y versionado dentro del ecosistema Snowflake.Colaborar con los equipos de ingeniería y analítica para facilitar la explotación y visualización de los datos.Elaborar documentación técnica y buenas prácticas de diseño.Requisitos¿Qué buscamos?Al menos 6 años de experiencia en ingeniería o arquitectura de datos con Snowflake.Amplia experiencia en modelado de datos (estrella, Data Vault…)Conocimientos sólidos en SQL, Python y herramientas de orquestación de pipelines.Experiencia en optimización de rendimiento, gestión de costes y configuración de entornos Snowflake (warehouses, roles, políticas…)Conocimiento de arquitecturas ELT/ETL y herramientas de integración de datos (Databricks, DBT, Informatica…)Familiaridad con prácticas DevOps/DataOps y despliegue automatizado en cloud.Aunque no es imprescindible para optar al puesto, valoramos positivamente estar certificado/a enSnowflake SnowPro CoreSnowPro Advanced: ArchitectInformación adicional¿Qué ofrecemos?Ambiente de trabajo internacional, positivo, dinámico y motivador.Modelo de trabajo híbrido con predominancia del teletrabajo.Horario flexible y jornada intensiva durante el verano.Formación continua.Plan de compensación flexible.Seguro de vida y accidentes.Más de 25 días laborables de vacaciones al año.¡Y muchas más ventajas de formar parte de T-Systems!Si estás buscando un nuevo desafío, no dudes en enviarnos tu CV. ¡Únete a nuestro equipo!T-Systems Iberia solo procesará los CV de las candidaturas que cumplan los requisitos especificados para cada oferta.#J-18808-Ljbffr

ALTEN busca un profesional con experiencia en gestión de proyectos y/o servicios TIC en entidades financieras para unirse al equipo. Se valorará dominio de gestión de riesgos, análisis de requisitos y ejecución bajo metodologías ágiles.Perfil con 8 años en funciones similares y experiencia con Java/.NET, Oracle y herramientas de integración como Informatica Cloud IICS, así como con pruebas funcionales como Selenium/SOAPUI.#J-18808-Ljbffr

EnLogicalis Spainestamos buscando un perfil deData Scientist / IA Engineerpara integrarse en nuestra BU deData & Analytics, donde trabajamos conclientes nacionales e internacionales, llevando a cabo importantes proyectos que abarcan todo el ciclo de vida del dato:ingeniería, análisis y gobierno de datos, inteligencia artificial y analítica avanzada, integración, migración y arquitecturacon tecnologías comoAzure, AWS, GCP, Snowflake, IBM, Informatica, entre otras.REQUISITOS TÉCNICOS+3 años de experiencia comoData Scientist / IA Engineercon experiencia en:Python(NumPy, Pandas, Scikit-Learn, PyTorch, TensorFlow).MLOps / AIOps, CI/CD para modelos.Desarrollar y optimizar modelos deMachine Learning ,Deep LearningyLLMs .Diseño e implementación de flujos y pipelines relacionados conRAGs ,agentesyMLOps/AIOps .Implementar soluciones deIA generativabasadas en Copilot Studio, OpenAI y Azure OpenAI.Desarrollar y mantener soluciones basadas enPythonorientadas a automatización, inteligencia operacional y sistemas basados en agentes.Implementar buenas prácticas deCI/CDpara despliegue y automatización de modelos o servicios.Implementar y desplegar modelos en entornos Cloud (preferiblementeAzure / AWS ).Incorporación inmediataa compañía líder del sector IT con un alto grado de expertise en el área de Data & Analytics dónde nos encontramos en pleno proceso de expansión.Estabilidad laborala través de contrato indefinido con amplias oportunidades dedesarrollo profesional y crecimiento en la compañía .Modalidad de trabajo 100% remoto .Paquete retributivo muy competitivoacorde a la valía del candidato.Posibilidad de acogerse aplanes de retribución flexible(tarjeta restaurante, tarjeta transporte y tarjeta guardería).Seguro médicoyWellhub .Planes de formaciónadaptados a cada perfil (acceso ilimitado aUdemy ,certificaciones oficiales, formación de idiomas ...).Portal de descuentos especialespara empleados.Excelente ambiente de trabajoy entorno muy colaborativo.#J-18808-Ljbffr

About Kuoni TumlareKuoni Tumlare is a Destination Management Company, part of JTB Group that delivers travel solutions and experiences that create value for our Partners and Society. We are a fun group, valuing our employees’ contributions and opinions, and striving to develop talent internally. The travel industry is dynamic, exciting, and adaptable with many interesting opportunities to explore.Role OverviewThe Data Architect is responsible for design, development, and maintenance of the organization’s data architecture. This role ensures that data is high-quality, consistent, secure, well-structured, and effectively utilized across systems and processes. The Data Architect collaborates closely with software developers, business analysts, data analysts, and database administrators to design data models, integrations, and data flows. This role will be critical part of our project team and working on a global, enterprise-level, high-budget project delivered over the next 2 years.Key ResponsibilitiesDesign and maintain the enterprise data architecture, including data models, standards, and principles.Define and manage logical and physical data models in line with business and technical requirements.Design data flows, integration layers, and interfaces between systems (ETL/ELT processes, APIs, message queues).Contribute to the design and maintenance of data warehouses, data lakes, and analytical platforms.Implement data governance principles – management of data domains, metadata, data quality, and reference data.Collaborate with security and compliance teams to ensure data protection and GDPR compliance.Support the development of data strategy and data culture across the organization.Document data structures, standards, and methodologies.Provide expert guidance to projects in the area of data layer design.TechnicalStrong knowledge of data modeling (conceptual, logical, physical; 3NF, star schema, snowflake).Expertise with relational databases (MS SQL, Oracle, PostgreSQL, etc.) and modern data platforms (Azure, AWS, GCP).Experience with ETL/ELT tools (e.G., SSIS, Talend, Informatica, dbt, Synapse, Data Factory).Familiarity with data governance, master data management (MDM), and metadata management.Understanding of integration architectures (REST, SOAP, messaging, event streaming – e.G., Kafka).Advantage: experience with data modeling tools (Erwin, PowerDesigner, ArchiMate, Enterprise Architect, dbdiagram.Io, PlantUML).Advantage: familiarity with BI and analytics tools (Power BI, Tableau, Qlik).GeneralStrong analytical and systems thinking.Ability to design scalable and maintainable solutions.Excellent communication skills with both technical and business stakeholders.Experience in leading or coordinating data-related projects is an advantage.What we offerGlobal Brand: Opportunity to work in an international environmentStability: 100 Years at the top of our field and still pushing into new territoryProgression: We reward high performers and look to promote key talent internallyLearning and Development opportunities for growth and UpskillingA Supportive Management Culture and autonomous working environmentCompany Wide Bonus SchemeDedicated Employee Engagement ActivitiesFlexible & Hybrid WorkingAnnual Awards and Recognition for high PerformersFriendly and Collaborative work environment#J-18808-Ljbffr

As a Data Integration & Data Warehousing Engineer, you will design and run scalable data pipelines and enterprise data warehouses in a cloud-enabled environment to fuel analytics and decision-making. You’ll collaborate with global teams to ensure data quality, governance, and performance across the organization. The role supports Schneider Digital’s mission to drive digital transformation, enabling sustainable outcomes through data. You will work with AWS, Informatica, and modern data tooling to deliver reliable datasets and scalable solutions.Flexible schedule and hybrid workvacation and personal time policies (Holy Pack, floating holidays)global family leave policylife insurance and flexible remuneration planStock ownership programDesign, develop, and maintain scalable data pipelines using Python, AWS Glue, and Informatica PowerCenterCreate robust ETL/ELT workflows to ingest data from databases, APIs, files, and SaaS systemsBuild reusable ingestion frameworks for on-prem to cloud data migrationsDevelop and maintain dimensional models and optimize data structures for analyticsDevelop and manage AWS Glue jobs with PySpark/Python; orchestrate workflows across AWS (Redshift, Lambda)Monitor ETL pipelines, troubleshoot data issues, and implement logging and alertingPerform data profiling, reverse engineering, and ad-hoc analysis; deliver clean, reliabledatasetsSupport downstream systems with optimized data delivery and performanceBachelor’s or Master’s degree in Engineering, Computer Science, or related fieldTypically 5 years of experience in data engineering, ETL, or data warehousingStrong hands-on experience in Python / PySparkProficiency in SQL and data modeling for analyticsExperience building and maintaining data pipelines (ETL/ELT)Experience with AWS services (AWS Glue, AWS Lambda, S3)Version control using GITStrong analytical and problem-solving abilitiesAttention to data quality and accuracyStrong collaboration across cross-functional teamsPythonPySparkSQLSenior, Data Engineer - barcelona - barcelona, catalunya, es#J-18808-Ljbffr

About The JobThe Data Governance Operations Lead is responsible for ensuring the effective execution, coordination and continuous improvement of Allianz Technology's Data Governance operating model.Operating across a global and highly regulated environment, this role serves as the operational backbone of the Data Governance function, ensuring that governance commitments, regulatory requirements, audit actions, remediation plans and branch onboarding activities are executed consistently, transparently and on time.The role works closely with Data Domain Owners, Branch stakeholders, Risk Management, Compliance, Audit and Technology teams to drive accountability, governance adoption and delivery excellence across the organization. By establishing a scalable governance operating model, this role sits at the core of how Data Governance operates and scales across Allianz Technology, directly shaping the function's ability to deliver, build trust with stakeholders, and evolve into a genuine business enabler.What You DoLead the operational execution of the Allianz Technology Data Governance framework across all domains.Coordinate and drive governance, data quality and regulatory compliance activities, ensuring consistent execution across the organization.Lead and coordinate the Data Governance operations team on a day-to-day basis, managing priorities, dependencies and deliverables across workstreams, while working closely with the Data Governance Strategy Lead to ensure alignment on strategic initiatives involving the same team members.Monitor governance commitments, risks, audit actions and remediation plans, ensuring timely escalation and closure of delivery blockers.Establish governance and data quality reporting, KPIs and continuous improvement initiatives to increase transparency, efficiency and scalability of the operating model.What You Bring8+ years of experience in Data Governance, Compliance, Risk Management, Internal Controls, Program Management or related disciplines.Strong understanding of Data Governance and Data Quality operating models, including Data Ownership, Metadata Management, Governance Controls and data accountability frameworks.Experience leading and developing distributed teams, setting priorities and providing day-to-day direction.Proven experience coordinating complex cross-functional initiatives in regulated and international environments.Strong stakeholder management, communication and delivery management skills, with the ability to drive accountability across distributed teams.Strong analytical and problem-solving capabilities, including experience with reporting, KPIs and operational performance management.Experience with data governance and workflow tooling (e.G. Informatica IDMC, Databricks Unity Catalog, Power BI, JIRA/Confluence) and process automation initiatives is considered an advantage.Basic knowledge of AI technologies, principles and their practical use.What We OfferWe 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 Allianz TechnologyWith its headquarters in Munich, Germany, Allianz Technology is Allianz's global IT service provider and delivers IT solutions that drive the group's digitalization. With more than 11,000 employees in over 20 countries around the world, Allianz Technology is tasked to run, optimize, transform and innovate the infrastructure, applications and services together with Allianz companies to co-create the best customer experience.We service the entire spectrum of digitalization - from one of the industry's largest IT infrastructure projects that spans data centres, networks and security, to application platforms ranging from workplace services to digital interaction.In short: We deliver comprehensive end-to-end IT solutions for Allianz in the digital age. We are the backbone of Allianz.Find us at: www.Linkedin.Com/company/allianz-technology.Commitment to Integrity, Fairness & InclusionAllianz 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. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.We at Allianz believe in a strong inclusive culture that encourages people to speak their minds, get involved and question the status quo. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation or any other characteristics protected under applicable local laws and regulations.To Recruitment AgenciesAllianz Technology has an in-house recruitment team that sources great candidates directly. Therefore, Allianz Technology does not accept unsolicited resumes from agencies or search firm recruiters.When we do work with recruitment agencies, that engagement is formalized by a contract. Fees will only be paid when there is a contract in place. Without a contract in place, we will not accept invoices on unsolicited resumes, even if the candidate was ultimately employed by Allianz.104436 | Operations | Professional | Non-Executive | Allianz Technology | Full-Time | Permanent#J-18808-Ljbffr

Buscamos un/a Program/Project Management Lead especializado/a en Knowledge Graphs, ontologías y semántica, para liderar proyectos de transformación de datos en entornos enterprise y contribuir al desarrollo de la capability de Graph & Semantics. La persona seleccionada tendrá un papel estratégico, combinando liderazgo técnico, gestión de proyectos, relación con cliente y desarrollo de equipo, trabajando en iniciativas relacionadas con Knowledge Graphs, integración semántica, MDM, Data Governance y soluciones Graph-RAG / Gen AI. Principales responsabilidades: Liderar el diseño, implementación y entrega de soluciones basadas en Knowledge Graphs, ontologías y tecnologías semánticas. Dirigir proyectos enterprise de datos y analítica en diferentes sectores. Definir y supervisar modelos de datos, arquitecturas semánticas e integraciones con plataformas de MDM, Data Catalog y Data Governance. Gestionar la gobernanza y evolución de ontologías. Liderar equipos multidisciplinares de Architects y Engineers especializados en grafos y semántica. Participar en workshops con clientes y colaborar directamente con CDOs, arquitectos enterprise y equipos de datos. Colaborar en propuestas comerciales, definición de soluciones y actividades de preventa. Impulsar la creación y crecimiento de la capability de Graph & Semantics. Participar en iniciativas relacionadas con Gen AI/LLM y Graph-RAG, utilizando Knowledge Graphs como contexto estructurado. Requisitos: 8–12 años de experiencia en Data & Analytics. Al menos 3–4 años liderando iniciativas de Knowledge Graphs y/u ontologías. Experiencia en proyectos enterprise de Knowledge Graph y ontologías. Dominio de OWL, RDF, RDFS, SPARQL, SHACL y JSON-LD. Experiencia con bases de datos de grafos como Neo4j, Amazon Neptune, Azure Cosmos DB, Stardog o Graph DB. Conocimiento de Cypher y/o Gremlin. Experiencia con Data Governance, MDM y Data Catalog. Experiencia en entornos de consultoría o sistemas de integración, incluyendo gestión de cliente, workshops y propuestas. Experiencia liderando equipos. Inglés fluido obligatorio. Español muy valorable. Valorable: Experiencia con ontologías de dominio como FIBO, CIM, SNOMED/HL7 o GS1. Conocimiento de Gen AI/LLM y Graph-RAG. Experiencia con Data Mesh y governance federado. Conocimiento de Collibra, Informatica IDMC, Apache Atlas o Alation. Experiencia con AWS/Azure y servicios como S3, Glue, Athena, ADLS, ADF o Synapse. Conocimiento de Amazon Bedrock o Azure Open AI. Participación en proyectos o comunidades open-source relacionadas con grafos y ontologías. Condiciones: Jornada completa: 40 h/semana. Modalidad: remoto/híbrido, con presencia puntual en cliente según proyecto. Viajes puntuales. Sin guardias previstas. Tarifa máxima orientativa: 80 Ks Proyecto de larga duración y con alto componente estratégico. #J-18808-Ljbffr