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dsm-firmenich is seeking an Expert Digital & Tech Technical Data Steward to enhance data governance in Barcelona. La experiencia que se espera de los solicitantes, así como las habilidades y cualificaciones adicionales necesarias para este trabajo, se enumeran a continuación. The successful candidate will drive data quality initiatives, implement data management practices, and ensure compliance with regulatory frameworks. With over 5 years of experience in Data Stewardship and hands-on expertise in Informatica IDMC, you'll play a pivotal role in improving data maturity and ensuring trusted data for decision-making. xqbhyrx Join us to impact consumers and drive innovation in a supportive culture. #J-18808-Ljbffr

Experteer Overview ¿Tiene las siguientes habilidades, experiencia e impulso para tener éxito en este puesto? Descúbralo a continuación. In this role you will design enterprise data governance for Skills, Tasks, and Job Architecture to enable trustworthy, AI-ready data. You will own data definitions, quality rules, and the data catalogue, aligning global regions and functions with standardized standards. You’ll drive data quality campaigns, investigate root causes in Workday, and enable the Data Foundation and SkyHive integrations. This is a strategic, enterprise-impact role shaping how data supports a skills-based organization transformation at Sanofi. Compensaciones / Beneficios • Design and own governance frameworks, standards, and data quality rules for Skills, Tasks, and Job Architecture domains, • Document and maintain data definitions and quality rules; ensure complete, accurate data catalogue with ownership, lineage, and sensitivity classifications, • Classify data assets for regulatory compliance and manage cross-domain data sharing agreements, • Design and run data quality check framework and proactive remediation campaigns across the domains, • Enable data for the Data Foundation; oversee SkyHive interface data lineage and cataloging in Informatica CDGC, • Support AI initiatives with proper data classification and standardization; create governance content for organization-wide use, • Analyze Workday rules and configurations to support global standardization; identify local constraints, • Serve as global point of contact for governance and data catalog; drive adoption of global standards across regions, • Collaborate with Digital Team on data configurations to ensure alignment with governance standards, • Provide training and support to Local Data Champions and analysts to enable trusted reporting and analytics Responsabilidades xqbhyrx • Bachelor in Data Science, • 5+ years of experience in data management, HR analytics, or analytical roles, • Strong understanding of Workday architecture, configurations, and data structures, • Knowledge of data governance tools, data lineage, cataloging, and metadata management, • Familiarity with data quality assessment and remediation techniques, • Understanding of GDPR and data privacy regulations, • Excellent analytical and problem-solving skills; strong communication for business stakeholders; project management experience Requisitos principales

About Kuoni Tumlare Si cree que es el candidato ideal para la siguiente oportunidad, envíe su solicitud después de leer la descripción completa. Kuoni 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 Overview The 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 Responsibilities • Design 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. Technical • Strong 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, , PlantUML)., • Advantage: familiarity with BI and analytics tools (Power BI, Tableau, Qlik). General • Strong analytical and systems thinking., • Ability to design scalable and maintainable solutions., • Excellent communication skills with both technical and business stakeholders. xcskxlj, • Experience in leading or coordinating data-related projects is an advantage. What we offer • Global Brand: Opportunity to work in an international environment, • Stability: 100 Years at the top of our field and still pushing into new territory, • Progression: We reward high performers and look to promote key talent internally, • Learning and Development opportunities for growth and Upskilling, • A Supportive Management Culture and autonomous working environment, • Company Wide Bonus Scheme, • Dedicated Employee Engagement Activities, • Flexible & Hybrid Working, • Annual Awards and Recognition for high Performers, • Friendly and Collaborative work environment #J-18808-Ljbffr

Experteer Overview Asegúrese de enviar su solicitud rápidamente para maximizar sus posibilidades de ser considerado para una entrevista. Lea la descripción completa del puesto a continuación. In this role, you design and operate large-scale data pipelines for the SimpliFi Data Pool, a central Azure-hosted data repository that harmonizes accounting data and powers reporting. You will own end-to-end data flows across Raw Data Vault, Business Data Vault, and CORE layers, collaborating with data modellers, architects, and IT leads. You drive data quality, governance, and lineage, enabling reliable insights and compliant reporting. This is a hands-on, architecture-influencing role that helps scale finance data capabilities across the organization. Compensaciones / Beneficios • Define and enforce data engineering standards and architecture decisions, • Design and oversee end-to-end data pipelines: ingestion, transformation, loading across Raw Data Vault, Business Data Vault, UJT, and CORE layers, • Own data quality at the pipeline level: define checks, monitor, resolve data issues, • Mentor and review work of junior/mid engineers to raise code quality, • Collaborate with Data Modellers, MDM/RDM specialists, Data Architects, and IT leads to align technical solutions with business needs, • Ensure pipelines meet data governance requirements (lineage, classification, access controls) and support gate processes, • Act as technical proxy in planning sessions to size effort, flag dependencies, and unblock delivery cycles, • Contribute to architecture documentation and understand data flow patterns across platforms Responsabilidades • Hands-on experience building and operating large-scale batch and streaming pipelines, • Proficiency with Spark, Kafka, Airflow; cloud-native equivalents (ADF, Glue, Dataflow), • Experience with ETL/ELT at enterprise scale and modern lakehouse/warehouse platforms (Databricks, Azure Synapse), • Strong SQL and Python; familiarity with Scala or PySpark for distributed xqbhyrx workloads, • Experience with data quality tools (e.g., Acceldata, Great Expectations, Monte Carlo), • Knowledge of master/reference data flows; SAP MDG or Informatica MDM is a plus, • CI/CD for data pipelines (GitHub Actions, Azure DevOps); IaC (Terraform); containerization (Docker/Kubernetes), • Ability to read/contribute to architecture documents and discuss data governance and metadata (IDMC or Purview) Requisitos principales • hybrid work model, • bonus scheme, • pension, • employee shares program, • lifelong learning opportunities, • flexible working arrangements and healthcare benefits

Join to apply for the IT Business Analyst role at Inetum 3 days ago Be among the first 25 applicants Join to apply for the IT Business Analyst role at Inetum Get AI-powered advice on this job and more exclusive features. Mission Lea el resumen de esta oportunidad para comprender qué habilidades, incluidas las habilidades interpersonales relevantes y el dominio de paquetes de software, se requieren. Estamos buscando un/a Especialista en Soporte de Aplicaciones Empresariales (BASS) para unirse a nuestro equipo. En este puesto, serás responsable de proporcionar soporte técnico de alta calidad a nuestros usuarios, asegurando el correcto funcionamiento de nuestras aplicaciones empresariales y contribuyendo a la mejora continua de nuestros servicios. Funciones Principales • Familiarizarse con las aplicaciones empresariales relevantes para el puesto., • Solucionar problemas relacionados con las aplicaciones., • Configurar y mantener aplicaciones., • Aplicar ITIL u otros marcos de gestión de servicios de TI., • Implementar y adherirse a las mejores prácticas de ciberseguridad., • Comunicarse verbalmente y por escrito de manera efectiva., • Proporcionar servicio al cliente y explicar problemas técnicos a los usuarios., • Capacitar a los usuarios y crear materiales de capacitación., • Documentar y mantener registros precisos., • Trabajar eficazmente en equipo y de forma independiente., • Resolver problemas y solucionar incidencias. Perfil Requisitos Mínimos • Experiencia mínima de 3 años en soporte de aplicaciones empresariales., • Nivel alto de inglés (C1), • Conocimientos básicos de scripting (e.g., Python, PowerShell)., • Conocimientos básicos de análisis de datos y reporting., • Conocimientos básicos de testing y control de calidad (QA)., • Conocimientos básicos de gestión de bases de datos., • Orientación al cliente., • Comprensión de los procesos empresariales., • Gestión del tiempo y priorización., • Adaptabilidad y agilidad de aprendizaje., • Conocimientos de integración de sistemas. Requisitos Deseables • Experiencia de al menos 4 años en soporte de aplicaciones empresariales., • Certificación Scrum Master (PSM I)., • Certificación ITIL. ¿Qué ofrecemos? Programa de formación por parte de la empresa para que puedas seguir desarrollándote y promocionar dentro del plan de carrera que existe para ti. Contrato indefinido y estabilidad. Retribución flexible y más beneficios Flexibilidad horaria. Modalidad de teletrabajo híbrida. Te ofrecemos un entorno dinámico, en el que tu plan de carrera y crecimiento será nuestro objetivo. Buen ambiente de trabajo, abiertos e inclusivos. Formarás parte de un gran equipo de profesionales con inquietud y motivación por la tecnología. Organización Sobre Inetum, Inetum es líder europeo en servicios digitales. El equipo de Inetum, formado por 28.000 consultores y especialistas, se esfuerza cada día por generar un impacto digital en las empresas, las entidades del sector público y la sociedad. Las soluciones de Inetum tienen como objetivo contribuir al desempeño y la innovación de sus clientes, así como al bien común. Presente en 19 países con una densa red de sitios, Inetum se asocia con los principales editores de software para afrontar los desafíos de la transformación digital con proximidad y flexibilidad. Top Employer Europe 2025Seniority level • Seniority levelMid-Senior levelEmployment type, • Employment typeFull-timeJob function, • Job functionInformation Technology, • IndustriesIT Services and IT Consulting Referrals increase your chances of interviewing at Inetum by 2x Get notified about new Information Technology Business Analyst jobs in Barcelona, Catalonia, Spain. Greater Barcelona Metropolitan Area 13 hours ago Business Analyst (Reporting & Analytics)IT Business Analyst (Hybrid working model in Barcelona) Greater Barcelona Metropolitan Area 13 hours ago Business Analyst - ITSM Knowledge Manager (m/f/d)Technical Business Analyst – MDM & Governance (Informatica SME)Business Analyst, Translation Services OperationsSnr Specialist, IT Business Analyst, Technical Design (Regulatory Affairs)PRODUCT OWNERS Y BUSINESS ANALYST. xqbhyrx ONSITE 80%. BARCELONA (ID)Associate Director, Business Analyst, DDIT Dev., Technical Research & Development (TRD)Business Analyst IAM Compliance & Audit Specialist (m/f/d)Assoc. Director, Business Analyst, Technical Research & Development (TRD) We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Experteer Overview ¿Todo listo para enviar su solicitud? Asegúrese de comprender todas las responsabilidades y tareas asociadas a este puesto antes de continuar. As a Data Engineer in the SimpliFi Data Pool program, you will own end-to-end data pipelines across ingestion, transformation, and loading within Azure-based, governance-driven environments. You’ll work with Databricks, Azure Synapse, and IDMC to deliver a harmonized data model and reliable data flows for financial reporting. You will ensure data quality, support governance gate processes, and collaborate with data modellers, MDM/RDM specialists, and IT leads to scale and maintain the platform. This role offers impact through shaping data architecture, improving lineage, and enabling trusted decision-making at scale. Compensaciones / Beneficios • Design and implement end-to-end data pipelines across Raw Data Vault, Business Data Vault, UJT, and CORE layers, • Hands-on development with Databricks, Azure Synapse, and IDMC to build and maintain ingestion, transformation, and loading flows, • Embed data quality checks and resolve issues early to prevent downstream propagation, • Review code from junior and mid-level engineers and share best practices, • Collaborate with Data Modellers, MDM/RDM specialists, and IT leads to translate constraints for planning, • Ensure pipelines comply with data governance requirements, including lineage, classification, and access controls, • Support gate processes (DAB/CCP) with accurate technical evidence and documentation, • Participate in sprint planning and delivery cadence, estimate effort, and manage dependencies Responsabilidades • Extensive experience building and operating large-scale data pipelines (batch and streaming), • Proficiency with Apache Spark, Databricks, and cloud-native equivalents, • Experience with enterprise ETL/ELT patterns and modern lakehouse/warehouse platforms (Databricks, Azure Synapse), • Strong SQL, Python, and PySpark; experience with data quality scripting and monitoring (DQX, Great Expectations), • Knowledge of xqbhyrx data modelling paradigms (Data Vault 2.0, Medallion, Kimball) and metadata capture/data lineage implementations (IDMC, Purview), • Familiarity with SAP MDG or Informatica MDM is a plus; understanding of master/reference data flows, • CI/CD for data pipelines (GitHub Actions); infrastructure-as-code basics (Terraform), • Ability to read architecture documents and engage with architects without hand-holding, • Nice to have: exposure to machine learning concepts Requisitos principales • hybrid work model, • up to 25 days abroad, • bonus scheme, • pension, • employee shares program, • learning and career development programs

Introduction Exclusive Networks is the global cybersecurity go-to-market specialist that provides partners and end-customers with a wide range of services and product portfolios. With offices in over 45 countries and the ability to serve customers in over 170 countries, we combine deep local expertise with the scale and delivery of a single global organization. ¿Es este su próximo empleo? Descúbralo leyendo la descripción completa a continuación y no dude en enviar su candidatura. Our best-in-class vendor portfolio is carefully curated with all leading industry players. Our services range from managed security to specialist technical accreditation and training and capitalize on rapidly evolving technologies and changing business models. For more information visit Exclusive Networks, we are passionate about making a difference. That means delivering the best to our ecosystem, shaping a prosperous and trusted digital world, and helping our people to realize their full potential. Duties and Responsibilities EXN's customer and vendor data is currently fragmented across multiple ERPs (NetSuite, SAP, Jiwa, Sage), inconsistently structured in HubSpot, and not reliably linked across systems. The same partner can appear with different IDs, names, and structures depending on which system you look in - making campaign targeting unreliable, account-level decisions inaccurate, and operational processes manual. The Master Data Analyst is the long-term solution. In the meantime, there is significant work to do: defining what the data should look like, documenting what exists, measuring the gap, and working with IT and the MDM team to prioritise and track resolution. As Master Data Analyst is implemented there is a need to define how master data is structured, how authoritative sources are determined across systems, and how records are matched and merged to form a trusted golden record. The Master Data Analyst sits at the intersection of business and IT. They translate what commercial teams need from the data into quality requirements the technical teams can act on - and translate the technical reality of what the data contains back to the business in terms they can use. As The Master Data Analyst, You Will • Define and document data standards, validation rules, and quality thresholds for the Customer/Partner and Vendor domains, • Design and maintain a data quality scorecard for the Customer/Partner and Vendor domains, covering dimensions such as: completeness, accuracy, consistency, timeliness., • Maintain a structured log of known data quality issues, categorised by domain, system, and business impact, • Support HubSpot data cleanup planning: define what the target state for HubSpot company records should look like; establish quality criteria for the reimport; help sequence the cleanup, • Operate the MDM stewardship workflows for the Customer/Partner and Vendor domains: review match proposals, approve or reject merge recommendations, manage exceptions, • Contribute to the development of EXN's data governance operating model: RACI for data ownership, escalation paths, data steward responsibilities across domains, and the principles governing how master data decisions are madeQualifications and Experience About you The ideal: Master Data Analyst • 5-8 years' experience in master data management, data quality, data governance, • Understanding of master data management concepts, including golden record curation, match and merge and survivorship, • Experience of working with multiple source systems and resolving data errors across them, • Demonstrated ability to define data quality standards and metrics - not just identify problems, but structure and measure them, • Strong analytical skills; be comfortable interrogating data in SQL, Excel, or BI tools to investigate quality issues, • Experience producing data quality reports and domain documentation for non-technical business audiences, • Understanding of CRM or ERP data structures: accounts, contacts, hierarchies, and relationshipsWhy work for us We are people focused and strongly believe that talent empowers us to continue our dynasty of disruption and growth in the future. Our Mission is to drive the transition to a totally trusted digital world for all people and organizations. Visit our website are proud to be an Equal Opportunity Employer. We are committed to the recruitment and hiring of individuals from diverse backgrounds and experiences, as we believe this strengthens our ability to develop superior solutions, make informed decisions, and better serve our valued customers. We do not discriminate against individuals on the basis of race, religion, color, national origin, gender, sexual orientation, disability status, or any similar characteristic. Employment decisions are made solely on the basis of qualifications, merit, and business need. xcskxlj Please click here to review our Diversity and Inclusion Policy for further information. We care about your data: please click here to read our Recruitment Data Protection Policy prior to applying, and therefore sharing your data with us. Xcelerate 2030 Desired Skills And Experience PowerBI Databricks MDM stewardship informatica #J-18808-Ljbffr

Position Overview ¿Es este el puesto que está buscando? Si es así, siga leyendo para obtener más detalles y no olvide enviar su solicitud hoy mismo. The Enterprise Data Management (EDM) Specialist is responsible for the operation, optimization, and continuous enhancement of the enterprise Data Governance Platform, focusing on Informatica Cloud Data Governance Catalog (CDGC) and Cloud Data Quality (CDQ). The role ensures trusted, discoverable, and governed data through metadata management, data quality controls, and data lineage. It serves as a technical authority managing metadata ingestion, API integrations, platform monitoring, and service account governance while enabling advanced data observability. Responsibilities • Configure, automate, and manage data quality rules and monitoring frameworks within CDQ, using AI‑based anomaly detection and monitoring., • Use AI to ensure accurate capture, validation, and maintenance of end‑to‑end data lineage, supporting impact analysis and regulatory transparency., • Define and implement data observability metrics, report, and dashboarding, surfacing trends and insights with AI tools., • Generate and maintain business glossaries, data asset descriptions, and stewardship documentation using AI assistants, proposing and pre‑populating data quality rules and policies., • Collaborate with data stewards and stakeholders to drive adoption of catalog and governance capabilities, including training on AI‑assisted catalog features., • Manage platform access, including user roles, permissions, and service account lifecycle management., • Design, configure, and optimize metadata ingestion processes using Informatica connectors, APIs, and custom integration patterns., • Execute and maintain API/MCP‑based read and write operations to enable automated metadata ingestion, enrichment, and governance workflows., • Monitor reliability of scanning processes, ingestion pipelines, API activity, and platform performance; troubleshoot and resolve related issues., • Act as a subject‑matter expert and second‑line support, coordinating with platform administrators and Informatica vendor support for complex incidents., • Document standards, processes, and best practices using AI to ensure scalability, consistency, and operational excellence. Qualifications • Bachelor’s or master’s degree in Computer Science, Information Systems, Data Engineering, or related field., • Hands‑on expertise with Informatica IDMC, specifically MCC, CDGC, and CDQ., • Deep understanding of metadata management and enterprise data cataloging, including metadata models, classifications, and glossaries, and integration patterns for ingesting metadata from multiple sources., • Experience designing and implementing data quality rules, data lineage, impact analysis, and governance frameworks., • Proficient with SQL and data structures; experience with enterprise data platforms, data warehouses, ETL/ELT tools, and cloud ecosystems., • 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, scripting or programming languages for automation., • Demonstrated ability to use AI tools to automate repetitive tasks, design prompt strategies, and integrate AI components into governance workflows. Preferred Skills & Competencies • Experience with additional data governance/catalog solutions such as Collibra or Alation., • Exposure to AI/ML‑based observability or monitoring tools for data platforms., • Experience with scripting or programming languages commonly used for automation (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., • Proactive, results‑driven attitude with commitment to continuous improvement., • Excellent analytical, troubleshooting, and problem‑solving capabilities., • Strong communication, stakeholder management, and analytical skills., • Fluency in English; additional languages are an advantage. Benefits • Competitive salary and yearly bonus., • Flexible working model to support work‑life balance., • Option to work abroad up to 25 days yearly., • Over 300 € for home office setup and additional monthly allowance., • Internal and external training, including language courses., • Ticket restaurant and health insurance with flexibility to exchange for other benefits., • Life and accident insurance, collective life retirement plan, and stock options., • Referral bonus of 2000 € and banking and insurance benefits. Location Barcelona, Poblenou (ES) Equal Opportunity Statement At Zurich, we are an equal opportunity employer. xqbhyrx We attract and retain the best‑qualified individuals regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability. #J-18808-Ljbffr

Experteer Overview As a Data Architect at Allianz Services Spain, you will define and govern modern data architectures aligned with Group standards. You’ll design data platforms (lakehouse, data mesh) and ensure data governance, quality, and AI readiness across end-to-end data flows. You’ll translate complex concepts for technical and business stakeholders and guide cross-functional delivery. This role offers impact on data products, governance, and responsible AI within a large, multinational setting. Compensaciones / Beneficios • Define architecture standards, blueprints and reference architectures aligned with Group Data strategy • Design end-to-end data flows from ingestion to consumption (BI, analytics, AI) and standardize Azure-based data platforms • Contribute to data cataloguing, lineage, governance tooling, and data quality/compliance patterns • Specify monitoring/telemetry patterns for data reliability and compliance • Define patterns for interoperable data products and cross-entity data sharing • Develop AI/ML integration patterns and ensure data products are AI-ready • Provide architectural guidance to engineering teams and stakeholders Responsabilidades • 5-8 years of hands-on data architecture, data engineering, or enterprise architecture experience • Strong knowledge of modern data platform architectures (Data Mesh, Data Lakehouse, medallion architecture) and cloud-native platforms (Databricks and/or Microsoft Fabric) • Experience designing and governing Data Products (contracts, lineage, quality gates) and familiarity with governance frameworks (DAMA-DMBOK, TOGAF) • Understanding of regulatory data requirements relevant to financial services or insurance (DORA, IFRS 17, Solvency II) • Experience with data cataloguing and governance tools (Informatica IDMC, Unity Catalogue) and AI/ML pipelines • Knowledge of API/integration standards (REST, OpenAPI, MCP, Kafka/AsyncAPI) and ability to present architectural concepts • Strong written communication and ability to work in a matrixed, multinational organization • Interest in IT and Generative AI (GenAI) as valuable assets Requisitos principales • hybrid work model • bonus scheme • pension • employee shares program • employee discounts • health and wellbeing benefits

Data Quality and AI Readiness Product Analyst • Location: Barcelona, Spain Are you passionate about data integrity, governance, and enabling the next generation of AI-driven capabilities? Join Sanofi in one of our corporate functions and play a pivotal role in safeguarding the quality, consistency, and reliability of global Human Capital data. As a Data Quality and AI Readiness Product Analyst within Data Governance & Master Data Management, you will sit at the intersection of data governance, Human Capital technology, and process excellence — driving proactive risk management, resolving global data issues, and ensuring our data is ready to power both operational decisions and AI-driven innovation. Asegúrese de que toda la información de su solicitud está actualizada y en orden antes de inscribirse en esta oportunidad. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main Responsibilities • Assess and document the downstream impact of data quality issues across payroll processing, management reporting, third-party integrations, and AI/machine learning model inputs, • Conduct structured root cause analyses to distinguish between isolated data errors and systemic issues requiring process or configuration-level intervention, • Partner closely with the Global Process Owner (GPO) and Workday Technology teams to define and implement structural fixes, whether through process redesign, system configuration changes, or governance policy updates, • Serve as a bridge between data operations and technical teams, translating business data quality requirements into actionable technical specifications, • Prepare, validate, and execute data correction actions and remediation loads in compliance with data governance standards and change management protocols, • Monitor the ongoing adoption of global HR data standards across regions, business units, and functional teams, • Proactively detect and flag the re-introduction of local deviations, non-standard values, or workarounds that undermine global data consistency, • Identify and elevate risks to data consistency, AI readiness, and global reporting accuracy at the earliest possible stage, • Support organizational cloning and data standardization initiatives through fact-based investigation, evidence gathering, and data profiling, • Design, build, and maintain automated data validation routines and anomaly detection scripts to reduce reliance on manual data quality checks, • Produce clear, structured investigation outputs following a consistent framework: Issue → Root Cause → Risk → RecommendationAbout you, • 3–5 years of experience in data quality, data governance, HR data management, or a related analytical role, • Demonstrated experience working with Workday HCM or comparable enterprise HR platforms (Workday certification or formal training highly valued), • Proven track record of conducting data investigations and delivering structured, actionable findings, • Experience working in a global, matrixed organization with cross-functional stakeholders, • Proficiency in data analysis tools such as Excel/Power Query, SQL, or equivalent, • Experience with Workday reporting, calculated fields, and data auditing capabilities, • Familiarity with data remediation processes, including mass data loads and EIB (Enterprise xqbhyrx Interface Builder) or equivalent, • Understanding of HR data domains: employee records, organizational structures, compensation, payroll inputs, and workforce reporting, • Exposure to AI/ML data readiness concepts and understanding of how data quality impacts model performance, • Experience with data quality platforms or monitoring tools (e.g., Informatica, Collibra, Ataccama, or similar), • Experience with scripting or automation (e.g., Python, Power Automate, or equivalent) for data validation purposes, • Knowledge of GDPR, data privacy regulations, and their implications for HR data management, • Strong analytical and problem-solving skills, with the ability to decompose complex data issues and identify root causes with precision, • Strong communication skills, with the ability to translate complex data findings into clear narratives for both technical teams and senior leadership, • Strong interpersonal skills, with the ability to build effective working relationships across HR, Finance, Payroll, and IT, • Degree in Information Systems, Data Management, Human Resources, Business Administration, or a related field #J-18808-Ljbffr

About The Job Asegúrese de leer detenidamente la información sobre esta oportunidad antes de presentar su candidatura. The 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 Do • Implement 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 Bring • Hands‑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 Offer • We 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 & Inclusion Allianz Group is one of the most trusted insurance and asset management companies in the world. xcskxlj 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

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. Habilidades, experiencia, cualificaciones... Si tiene el perfil adecuado para esta oportunidad, asegúrese de inscribirse hoy mismo. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We’re not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role Veeva Network is a comprehensive Master Data Management (MDM) solution that helps life sciences companies manage critical product and customer data. Veeva OpenData is a customer reference database offering access to more than 16 million healthcare professional and organization profiles. Our solutions enable faster go‑to‑market and more informed customer engagement across the commercial landscape. As our client base continues to expand, we are seeking a highly skilled MDM Technical Architect to lead complex enterprise‑level implementations across Veeva Network and OpenData. You will work closely with commercial life sciences customers to design, implement, and optimize robust MDM architectures. This role requires a blend of strategic thinking, deep technical expertise, and strong communication skills to guide customers through their data transformation journey. What You’ll Do • Design and deliver MDM architectures using Veeva Network, covering data modeling, integration, governance, and data quality, • Own project delivery for enterprise clients, from initial scoping through deployment and post‑go‑live support, • Collaborate with business and technical stakeholders to capture requirements and translate them into scalable solutions, • Create detailed technical documentation, including data models, architecture diagrams, and integration specifications, • Provide technical leadership and mentorship to internal teams and implementation partners, • Support change management activities to drive adoption of MDM best practices, • Build and maintain trusted relationships with customer stakeholders, • Contribute to internal initiatives to continuously improve service quality and delivery frameworks Requirements • 5+ years of experience in MDM, data integration, and data governance within complex enterprise environments, • Strong consulting background with proven ability to architect and implement MDM solutions, • Hands‑on experience with platforms such as Veeva Network, Informatica MDM, Reltio, or similar, • Deep expertise in data modeling, data quality, integration technologies (SOAP/REST), and governance methodologies, • Familiarity with CRM ecosystems and enterprise data domains (e.g., customer, HCP/HCO, product), • Excellent verbal and written communication skills in English, with the ability to engage both technical and business audiences, • Ability to work independently in a fully remote environment across multiple assignments, • Willingness to travel as needed Nice to Have • Experience working in the Pharmaceutical, Biotech, or Consumer Health sectors, • Familiarity with OpenData and integration of third‑party reference data, • Certification from a CRM or MDM software vendor, • Hands‑on experience with data warehousing concepts, SQL, ETL tools, or web services technologies, • Exposure to integration frameworks, user authentication methods, or batch data processes, • Additional European language(s) Perks & Benefits • Annual allocations for charitable contributions, • Fitness reimbursement, • Work anywhere Compensation • Total compensation: 50,000 - 85,000 EUR, • The total compensation range listed here has been provided to comply with local regulations and represents a potential total compensation range for this role. Please note that actual total compensation may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position’s total compensation may be composed of other types of compensation, such as variable bonus and/or stock bonus. Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams. xcskxlj If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at #J-18808-Ljbffr Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

About the Job Si cree que es el candidato ideal para la siguiente oportunidad, envíe su solicitud después de leer la descripción completa. The 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. The ecosystem optimizes finance data management through key components: structured data storage (Staging Area, Raw Data Vault, Business Data Vault), customized feeder system integrations, seamless SAP connectivity via Azure functions, and a PowerBI-enabled reporting layer for in-depth analysis and data lineage transparency. It features Master and Reference Data Management (Informatica IDMC), rigorous data quality checks, and the SimpliFi Studio interface for user-friendly manual uploads and pipeline monitoring, ensuring data accuracy, reliability, and operational efficiency. What You Do • Define and enforce data engineering standards — pipeline design patterns, naming conventions, modelling approaches (e.g. Data Vault). Make architecture decisions and translate business/domain requirements into technical solutions., • Design and oversee end-to-end data pipelines: ingestion, transformation, loading. In SimpliFi terms, this means owning flows across Raw Data Vault, Business Data Vault, UJT, and CORE layers — often spanning tools like Databricks, Azure Synapse, and IDMC., • Accountable for data quality at the pipeline level — defining checks, monitoring and resolving data issues before they propagate downstream., • Guide junior/mid engineers, set the bar for code quality, and conduct reviews. A key multiplier for team capability., • Work closely with Data Modellers, MDM/RDM specialists, Data Architects, and IT component leads. Bridge the gap between technical implementation and business intent., • Ensure pipelines meet data governance requirements (lineage, classification, access controls) and support gate processes where relevant., • Act as a technical proxy in planning sessions, helping size effort, flag dependencies and unblock the team during sprint/delivery cycles. What You Bring • Hands‑on expertise building and operating large‑scale pipelines — batch and streaming. Proficiency in tools like Apache Spark, Kafka, Airflow and cloud‑native equivalents (ADF, Glue, Dataflow). Experience with ETL/ELT patterns at enterprise scale. Practical experience with modern lakehouse/warehouse platforms — Databricks, Azure Synapse, or equivalents. Understands 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 — relational, dimensional (Kimball), and Data Vault 2.0. Ability to review and contribute to models, not just implement them. Strong SQL (complex transformations, performance tuning), Python (pipeline logic, data quality scripts), and familiarity with Scala or PySpark for distributed workloads., • Experience implementing DQ rules, profiling, and monitoring — ideally with tools like Acceldata, Great Expectations, or Monte Carlo., • 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, Azure DevOps), version control discipline, infrastructure‑as‑code basics (Terraform), and containerisation (Docker/Kubernetes awareness)., • Able to read and contribute to architecture documents — understands layers, zones and data flow patterns across a platform. Can engage meaningfully with architects without needing hand‑holding. Know how to implement metadata capture, data lineage (e.g. via IDMC or Purview), and access controls. Experience navigating governance frameworks and gate processes., • Familiarity with Machine learning is a strong advantage. What We Offer • Hybrid work model enabling up to 25 days per year working from abroad., • Compensation and benefits package that includes a company bonus scheme, pension, employee shares program and various discounts (details vary by location)., • Career development and digital learning programs, international career mobility, and an environment fostering innovation, delivery and empowerment., • Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) to support family and career balance and help employees return from career breaks. Equal Opportunity Employer Allianz Group is one of the most trusted insurance and asset management companies in the world. xqbhyrx 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 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

Position Overview The 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). The 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. 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, using Generative AI, AI agents, and automation to reduce manual effort, improve consistency, and accelerate delivery. La información a continuación detalla los requisitos del puesto, la experiencia esperada del candidato y las cualificaciones correspondientes. Responsibilities • Configure, automate, and manage data quality rules and monitoring frameworks within CDQ, using AI-based anomaly detection., • Use AI to ensure accurate capture, validation, and maintenance of end-to-end data lineage, supporting impact analysis and regulatory transparency., • Define and implement data observability metrics (e.g., completeness, freshness, accuracy, reliability) and report through dashboards using AI tools., • Use AI assistants and agents to generate and maintain business glossaries, data asset descriptions, and stewardship documentation, proposing and pre-populating data quality rules and policies., • Collaborate with data stewards and business stakeholders to drive adoption of catalog and governance capabilities, including training users on AI-assisted catalog features., • Manage 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 patterns., • Execute and maintain API/MCP-based read and write operations to enable automated metadata ingestion, enrichment, and governance workflows., • Monitor 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 access., • Act as a subject matter expert and second-line support, coordinating with platform administrators and Informatica vendor support for complex incidents., • Use AI to document standards, processes, and best practices to ensure scalability, consistency, and operational excellence.Qualifications, • 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, CDGC, and CDQ., • Deep understanding of metadata management and enterprise data cataloging, including metadata models, classifications, and glossaries., • Experience designing and implementing data quality rules, data lineage, impact analysis, and governance frameworks., • Experience 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, including coding and agentic workflows, and ability to use AI tools to automate repetitive technical tasks.Preferred Skills & CompetenciesTechnical & AI-related, • Experience 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 skills, • Proactive, 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.Benefits, • Competitive salary and yearly bonus., • Flexible working model to support work‑life balance., • Option to work abroad up to 25 days yearly., • Over 300 euros to set up a home office and additional monthly home‑office allowance., • Wide range of internal and external trainings, including English, German and Spanish classes., • Ticket restaurant and health insurance with flexible exchange options., • Life and accident insurance., • Collective life retirement plan., • Referral bonus of 2000 euros for each successful hire., • Special banking and insurance conditions plus exclusive employee discounts., • Functional diversity benefits., • Stock options and mortgage benefits.Location Barcelona, Poblenou (ES). Equal Opportunity Statement At Zurich, we are an equal opportunity employer. xqbhyrx We attract and retain the best-qualified individuals available, regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability. #J-18808-Ljbffr

About the role ¿Posee las habilidades y la experiencia adecuadas para este puesto? Siga leyendo para descubrirlo y envíe su solicitud. Responsibilities The Senior Manager Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and architectures. The role involves working closely with data Owners, IT, analysts, and business stakeholders to ensure data availability, quality, and accessibility for analytics, reporting, and advanced data use cases. Highly skilled Senior Data Engineer to take on a hybrid role that is both hands‑on technical and consulting oriented. • Design, build, and optimize data pipelines for structured and unstructured data., • Develop and maintain ETL/ELT processes to integrate data from multiple sources (SAP, Salesforce, APIs, flat files, cloud platforms, etc.)., • Ensure data quality, consistency, and governance across the data lifecycle., • Implement and manage data models, warehouses, and lakehouse solutions (e.g., Snowflake, Databricks, Redshift, BigQuery)., • Collaborate with stakeholders to translate business requirements into technical solutions., • Monitor and improve data pipelines for scalability, performance, and cost efficiency., • Ensure compliance with data security, privacy, and governance standards (GDPR, HIPAA, etc.)., • Automate repetitive data engineering tasks and adopt DevOps/DataOps best practices., • Work closely with cloud platforms (AWS, Azure, GCP) and modern data stack tools. Qualifications • Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or related discipline., • Over 6 or more years of hands‑on experience in data engineering, data integration, or related fields., • Proven experience in designing and implementing data pipelines, data models, and data platforms., • Strong exposure to consulting client‑facing roles, working with cross‑functional stakeholders., • Experience with enterprise systems (SAP, Salesforce, ERP, CRM) and complex data migration projects., • Strong proficiency in SQL, Python, and/or Scala/Java for data engineering and automation., • Deep expertise with ETL/ELT tools (Informatica, SAP Data Services, Talend, dbt, Azure Data Factory)., • Strong knowledge of data warehouse and lakehouse architectures (Snowflake, Databricks, BigQuery, Redshift, Synapse)., • Experience with big data frameworks (Apache Spark, Kafka, Hadoop)., • Familiarity with data governance, lineage, and cataloging tools (Collibra, Alation, Purview)., • Knowledge of Master Data Management (MDM/MDG)., • Practical expertise with cloud platforms and their native data services., • Industry experience in regulated sectors (Pharma, Healthcare, Finance, or Manufacturing) is an advantage., • Strong communication and presentation abilities, with the capability to simplify technical solutions for business leaders. Why Join Us? At Fresenius Kabi, you’ll contribute to something meaningful: delivering life‑saving therapies to patients around the world. As part of a global transformation, you will work in a highly visible, impactful role with the opportunity to shape how we manage software development and delivery. You will join a diverse and dynamic team in a collaborative environment where your expertise will help drive innovation, efficiency, and quality across our digital landscape. When your job has both impact and purpose, you know it's Fresenius. As a global healthcare group, we are committed to a special goal: Ever better medicine for ever more people. xqbhyrx Whether directly with patients or as an expert in the background, at Fresenius you can contribute to improving the quality of life of people with diseases. #J-18808-Ljbffr

Experteer Overview In this role you will safeguard global HR data quality to enable reliable decision-making and AI readiness. You will bridge data governance, HR tech, and process excellence to address data issues and drive scalable fixes. You’ll collaborate with global teams to implement governance policies, ensure standardization, and support both operational reporting and AI-driven initiatives. This is a hands-on, impact-driven position in a hybrid Barcelona hub with a clear focus on data integrity and scalable governance. Compensaciones / Beneficios • Assess downstream impact of data quality issues on payroll, reporting, integrations, and AI model inputs • Conduct root cause analyses to separate isolated errors from systemic issues • Collaborate with Global Process Owner and Workday teams to implement fixes via process changes, configuration, or governance updates • Translate business data quality needs into actionable technical specs for teams • Prepare and execute data correction actions compliant with governance standards • Monitor global HR data standards adoption across regions • Detect and flag local deviations that threaten global data consistency • Escalate risks to data consistency, AI readiness, and reporting accuracy • Support data standardization through investigation, evidence gathering, and profiling • Design and maintain automated data validation and anomaly detection routines • Produce structured investigation outputs (Issue, Root Cause, Risk, Recommendation) Responsabilidades • 3–5 years in data quality, governance, HR data management, or related analytics • Experience with Workday HCM or similar enterprise HR platforms • Proven data investigations experience with actionable findings • Experience in global, matrixed organizations with cross-functional stakeholders • Proficiency in Excel/Power Query, SQL, or equivalent • Experience with Workday reporting, calculated fields, and data auditing • Familiarity with data remediation, including mass data loads and EIB or equivalent • Understanding of HR data domains (employee records, org structures, compensation, payroll, reporting) • Exposure to AI/ML data readiness concepts and data quality impact on models • Experience with data quality platforms or monitoring tools (e.g., Informatica, Collibra, Ataccama) • Scripting/automation for data validation (e.g., Python, Power Automate) • Knowledge of GDPR and data privacy implications in HR data management • Strong analytical, problem-solving, and communication skills • Interpersonal skills for cross-functional collaboration across HR, Finance, Payroll, IT Requisitos principales • salary range: 36,000–54,000 • hybrid work setup (Barcelona hub) • employee benefit programs • opportunities for growth • diversity and inclusion actions

Overview Are you ready to drive PepsiCo’s digital evolution and accelerate transformation across our global operations? With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo’s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise. The Data Science Pillar in DA&AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&AIProducts. And will support “pre-engagement” activities as requested and validated by the prioritization framework of DA&AI. The Data Governance & Stewardship Senior Manager role is responsible for working with PepsiCo sectors and functions to define Enterprise Data Governance policies, rules, and standards to reduce risks related to collecting, storing, and using data. The role also requires understanding and experience with data governance implementation using any of the market leading tools such as Informatica, Collibra, Alation etc. This role requires deep knowledge of governance policies, master data requirements, business understanding of data and usage in various programs throughout PepsiCo. The Governance Senior manager will be deployed to work with various programs and sectors within PepsiCo to ensure data related requirements are in adherence to the global data governance framework. This role will support various business sector as they continue to roll out the Data Governance platform (Data Quality, Data Catalog, Metadata management, Reference data) and map their current data to established global standards. The Data Governance Senior Manager will work closely with Data Domain Stewards and sector specific governance teams (as applicable) to ensure standards are being upheld and should new data requirements be needed, that the domain stewards are engaged as needed. Responsibilities Your day to day with us: • Create governance policies, procedures and rules to reduce PepsiCo’s data related risks as it relates to collecting, storing, and using internal & external data, • Research and navigate important legal and policy compliance issues with stakeholders, providing technical, project management support and policy advice to senior management levels for strategic projects and policies., • Ensure standards are applied by all the stakeholders. Prevent or resolve data definition conflicts by facilitating discussions across appropriate business units., • Identify risks and controls related to enterprise data security changes, • Work with Data Ecosystem team to create policies and standards for external data storage and usage and ensure adherence, • Provide recommendations and supporting documentation for new or proposed data standards, business rules and policy (in conjunction with the Governance Council as appropriate)., • Source Data Governance functional requirements from Local and Global programs being implemented in a specific sector and relay them to the global data governance team for implementation planning., • Coordinate across the organization (with fellow Enterprise Data Stewards and the DG leaders; strategic initiatives, Digital Use Cases and the federated data network) in order to maintain consistency of PepsiCo's critical enterprise, digital, operational and analytical data., • Accountable for ensuring that data-centric activities are aligned with the DG program and leverage applicable data standards, governance processes, and overall best practices.Qualifications What will you need to succeed? • 8+ years of experience working in Data Governance or Data Security and Compliance within a global organization (CPG or Financial institution), • 8+ years of experience working with data, data maintenance, associated elements/processes, involved systems and interdependent data, • Strong data management background with understanding of data collection, storage, usage, how to create policies and use technology to automate compliance risks., • Understanding of legal risk and remediation efforts in data compliance, • Functional experience with data governance implementation using Informatica, Collibra, Erwin, IBM IGC or similar leading metadata management and data quality management tools is required., • Ability to partner with the legal, business and technical subject matter experts to ensure standardization of operational information and execution of enterprise-wide data governance policies and procedures are defined and implemented, • Strong knowledge and understanding regulations for acquiring, storing, and using data, • Ability to understand and measure legal ramifications of data compliance gaps, • Strong Communication Skills/Able to Persuade/Influence Others at all Organization Levels and the ability foster lasting partnerships, • Ability to translate business requirements into critical data dependencies and requirements Ability to think beyond their current state (processes, roles and tools) and work towards an unconstrained, optimized designWhat makes us different?, • Hybrid work model: combination of remote and collaborative office experience to enable innovation, • Entrepreneurial environment in leading international company, • Professional growth possibilities & learning opportunities, • Variety of benefits to support your physical, emotional and financial wellbeing, • Volunteering opportunities to help external communitiesAbout PepsiCo We believe that culture should be at the cornerstone of everything we do at PepsiCo. We are agile, innovative and not afraid of failure. We want our team to come to work every day excited to explore new ways to bring enjoyment, refreshment and fun to the world. Las cualificaciones, habilidades y toda la experiencia relevante necesaria para este puesto se pueden encontrar en la descripción completa a continuación. PepsiCo Positive (pep+) is the future of our organization – a strategic end-to-end transformation, with sustainability at the center of how we will create growth and value by operating within planetary boundaries and inspiring positive change for the planet and people. So, if you’re ready to be a part of a playground for those who think big, we’d love to chat. xcskxlj *We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability. #LI-Hybrid #Locations: Barcelona, Spain; Vitoria-Gasteiz, Spain #J-18808-Ljbffr

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. 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 responsibilities - Design, 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 standards - Own the development and maintenance of curated reference datasets and data assets to drive key business decisions - Monitor and troubleshoot data quality issues and operational incidents in production pipelines - Drive architectural plans and implementation for future data storage and integration solutions - Collaborate with stakeholders across operations, finance, and science to translate business requirements into reliable data solutions - Investigate and resolve root causes of data defects, ensuring data accuracy and reliability across the platform A day in the life Our 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 Balance Our 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 you establish 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 Culture Our 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 Growth We 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 team MINT (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 QUALIFICATIONS: - Experience in data engineering - Experience with data modeling, warehousing and building ETL pipelines - Experience 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 QUALIFICATIONS: - Experience 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 model - Knowledge of AWS Infrastructure Amazon 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 () 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Experteer Overview In this EDM Specialist role, you will operate and enhance Zurich TDC’s data governance platform, with a focus on Informatica CDGC and CDQ. You’ll drive metadata management, data quality controls, and end-to-end data lineage, while enabling AI-enabled observability and automation. You’ll collaborate with cross-functional teams to scale governance solutions and leverage AI to accelerate delivery. The position offers a chance to shape enterprise data trust at a global insurer. Compensaciones / Beneficios • Configure and automate data quality rules and monitoring in CDQ using AI-based anomaly detection • Ensure accurate data lineage via AI-assisted capture, validation, and maintenance for impact analysis and regulatory transparency • Define observability metrics (completeness, freshness, accuracy, reliability) and create AI-powered dashboards • Use AI assistants to generate glossaries, asset descriptions, and stewardship docs; pre-populate data quality policies from metadata patterns • Collaborate with data stewards and stakeholders to drive adoption of catalog and governance features; train users on AI-assisted catalog tools • Manage platform access: roles, permissions, and service account lifecycle management • Design, configure, and optimize metadata ingestion via Informatica connectors and APIs • Execute API/MCP-based read/write operations for automated ingestion and governance workflows • Monitor ingestion pipelines, API activity, and platform performance; troubleshoot metadata ingestion and authentication issues • Act as SME and second-line support; coordinate with platform admins and Informatica vendor • Document standards and best practices with AI to ensure scalability and operational excellence Responsabilidades • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field • Hands-on expertise with Informatica IDMC (MCC, CDGC, CDQ) • Strong knowledge of metadata management, data catalogs, and ingestion patterns • Experience with data quality design, data lineage, and governance frameworks • Experience with enterprise data platforms and SQL; knowledge of ETL/ELT and cloud ecosystems • API integration experience (REST, MCP) and automation • Understanding of authentication/authorization (OAuth, JWT, service principals) • Practical experience with Generative AI for automation and workflows • Familiarity with AI-assisted data discovery and governance concepts Requisitos principales • flexible working model • home office allowance and abroad work option • training opportunities (languages) • health insurance and life/retirement plans • referral bonus • exclusive employee discounts

Zurich Insurance Group’s Technology Delivery Center in Barcelona seeks an Enterprise Data Management Specialist to operate and enhance the data governance platform, focusing on Informatica Cloud CDGC and CDQ. Los candidatos deben tomarse el tiempo de leer atentamente todos los elementos de este anuncio de empleo. Por favor, envíen su solicitud sin demora. You’ll enable trusted, discoverable data with AI-assisted metadata enrichment, data observability, and end-to-end lineage. You’ll collaborate with data stewards, business units, xqbhyrx and vendor support to implement scalable, AI-enabled catalog solutions and governance processes in a hybrid #J-18808-Ljbffr

We Are Waiting for You ¿Es usted el solicitante adecuado para esta oportunidad? Descúbralo leyendo el resumen del puesto a continuación. Hi 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 Overview The 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 monitoring, • Use AI to ensure accurate capture, validation, and maintenance of end‑to‑end data lineage, supporting impact analysis and regulatory transparency, • Define and implement data observability metrics (e.g., completeness, freshness, accuracy, reliability), including reporting and dashboarding, using AI tools to surface trends and insights, • Use 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 issues, • Collaborate with data stewards and business stakeholders to drive adoption of catalog and governance capabilities, including training users on AI‑assisted catalog features, • Manage 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 patterns, • Execute and maintain API/MCP‑based read and write operations to enable automated metadata ingestion, enrichment, and governance workflows, • Monitor 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 access, • Act as a subject matter expert and second‑line support, coordinating with platform administrators and Informatica vendor support for complex incidents, • Use AI to document standards, processes, and best practices to ensure scalability, consistency, and operational excellence What 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‑related • Experience 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 skills • Proactive, 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 Plan, • 2000 referral bonus if you bring other talented people like you to the company., • Special banking and insurance conditions plus Exclusive Employees discounts, • Functional diversity benefits, • Stock options and mortgage benefits. Where Are We Located? Barcelona, Poblenou. #Li-hybrid We 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? xqbhyrx 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

Zurich Insurance is seeking an Enterprise Data Management (EDM) Specialist in Barcelona, responsible for enhancement of data governance platforms, focusing on Informatica tools and AI-driven data quality.

Referència: 21-0355-AE Població: Barcelona Funcions: Soy un Ingeniero Técnico Industrial que se dedica de manera autónoma a la realización de proyectos de licencias de actividades, proyectos de gestión energética, certificados energéticos, proyectos eléctricos, obra menor, diseño de interiores. Preciso incorporar un/a INGENIERO/A de manera autónoma con: - Nivel medio/alto informatica - Persona proactiva, con altas dotes comunicativas con capacidad de trabajo en equipo y orientación al cliente y a la venta - Capacidad para trabajar por objetivos - Conocimientos altos de ingenería. - Conocimiento altos de construcción, CTE. - Conocimiento normativas locales. - Alto conocimeinto en diseño, tratamiento de planos 2D y 3D. Contr

IQUADRAT INFORMATICA S.L (IQU) is a technology company founded in 1997, with a focus on delivering system‑level evaluation tools for wireless networks. IQU’s R&D provides global solutions and services in the use of Internet and telecommunications to companies and institutions in the commercial, marketing, management and business communication areas. IQU’s R&D mission is to deliver a new generation of tools for system‑level evaluation of wireless integrated communication systems toward society’s digital transformation. ¿Tiene las cualificaciones y habilidades adecuadas para este trabajo? Descúbralo a continuación y pulse en "solicitar" para ser considerado. IQU’s R&D offers extensive know‑how in network/RAN virtualization, programmable networks, network slicing, cell‑free concepts, artificial intelligence, and the rapidly growing IoT paradigm with many vertical use cases. The organization is active in EU‑funded research projects related to 5G, 6G, Smart Grid, and IoT in collaboration with major European vendors and operators. Job Summary We are looking for researchers in the framework of the ongoing Horizon Europe and SNS‑JU projects. The role focuses on the analytical evaluation of proposed solutions and the development of proof‑of‑concepts on in‑house experimentation platforms, contributing to the product portfolio of the R&D department. A candidate must hold a PhD in Telecommunications, Electronic Engineering, or Computer Science. Responsibilities • Carry out research activities related to quantum key distribution (QKD) systems and their integration into secure network infrastructures, including the development of quantum networking architectures that combine quantum communication with classical networks., • Design AI‑driven orchestration mechanisms for quantum networks and contribute to the design of the quantum internet protocol stack., • Work closely with cutting‑edge technology validated on in‑house experimental platforms., • Engage in challenging 5G/6G and IoT R&D projects and represent the company at project meetings and research initiatives., • Participate in the preparation of research funding proposals., • Attend scientific conferences and represent IQU at exhibitions such as Mobile World Congress Forum, IoT Solutions World Congress, and Smart Cities Expo. Requirements Basic Qualifications: • Outstanding oral and written English skills., • Good knowledge of current technology trends related to quantum communication, network protocol design, distributed systems, digital twins for quantum networks, and QKD protocols., • Familiarity with quantum networking simulators., • Good publication record in scientific peer‑reviewed journals. Preferred Qualifications: • Experience in EU‑funded projects (e.g., Horizon Europe, SNS JU, Quantum)., • Familiarity with 6G architectures and the integration of quantum technologies into future networks., • Knowledge of post‑quantum cryptography and hybrid security frameworks., • Experience in participating in international research funding projects. Benefits • Full‑time contract with a probation period of 6 months; starting date flexible from September to October 2026., • Office located in the center of Barcelona with an open‑space environment that promotes creativity, innovation, and collaborative research; option to work from home with occasional onsite meetings., • Competitive salary ranging from €35,000 to €42,000, determined by qualifications and experience. Application Process • Submit a full CV, a list of publications, and the names (email addresses) of three referees., • Provide a cover letter stating motivation and suitability. xqbhyrx Send all application documents in PDF format to . #J-18808-Ljbffr

IQUADRAT INFORMATICA S.L (IQU) is a technology company founded in 1997, with a focus on delivering System-Level evaluation tools for wireless networks. IQU R&D has been providing global solutions and services in the use of Internet and Telecommunications to companies and institutions that use information and communication technologies in commercial, marketing, management and business communication areas. IQU’s R&D has a focused business plan specifically intended on delivering a “new generation of tools for system level evaluation of wireless integrated communication systems towards the society digital transformation”. The R&D has extensive know-how in new concepts such as network/RAN virtualization, programmable networks, network slicing, cell-free, Artificial Intelligence and is also active in the fast-growing IoT paradigm with a plethora of vertical use cases. IQU´s R&D offers well established experimentation tools in 5G/6G and IoT. IQU is active in many EU funded research projects related to 5G, 6G, Smart Grid and IoT in collaboration with big European vendors and operators. Desplácese hacia abajo para encontrar los detalles completos de la oferta de trabajo, incluyendo la experiencia requerida y las funciones y tareas asociadas. IQU´s R&D department is looking for several Researchers in the framework of the ongoing Horizon Europe and SNS-JU projects. The work focuses on the analytical evaluation of the proposed solutions as well as proof of concepts in inhouse experimentation platforms contributing to the products portfolio of the R&D´s department. The successful applicant should have a PhD degree in Telecommunications, Electronic Engineering or Computer Science. Tasks • Carry out research activities related to quantum key distribution (QKD) systems and their integration into secure network infrastructures, develop quantum networking architectures integrating quantum communication with classical networks, AI-driven orchestration mechanisms for quantum networks, contribute to quantum internet protocol stack design, • Be in contact and work with cutting-edge technology, validated at our in-house experimental platforms., • Work in challenging 5G/6G and IoT R&D projects and represent the company in project meetings and research initiatives., • Participate in the preparation of research funding proposals, • Participate in scientific conference in the area, • Represent IQU in exhibitions like Mobile World Congress Forum, IoT Solutions World Congress, Smart Cities Expo etc. Requirements Basic Qualifications: • Outstanding oral and writing English skills, • Good knowledge of current technology trends related to quantum communication, network protocol design and distributed systems, digital twins for quantum networks and QKD protocols, • Familiarity with quantum networking simulators, • Good publication record in scientific peer-reviewed journals Preferred Qualifications: • Experience in EU-funded projects(e.g., Horizon Europe, SNS JU, Quantum)., • Familiarity with 6G architecturesand integration of quantum technologies into future networks., • Knowledge of post-quantum cryptographyand hybrid security frameworks., • Experience in participating international research funding projects Benefits A full-time contract, with a probation period of 6 months is offered. The starting date is flexible from September-October 2026. You will work in an open space office environment in the centre of Barcelona, which promotes creativity, innovation, and collaborative research among senior and early-stage researchers. xqbhyrx You can also choose to work from home, but you may need to attend the office whenever is needed for meetings or for teamwork. The rank and salary will be determined according to qualifications and work experience and will be varying between 35 and 42k. #J-18808-Ljbffr

Seleccionamos para uno de nuestros principales clientes, lider internacional con en soluciones tecnológicas del ambito de la defensa. La siguiente información ofrece un resumen de las habilidades, cualidades y cualificaciones necesarias para este puesto. Dentro de la estrategia de crecimiento del equipo nos gustaria reforzar nuestro squad con un/a Arquitecto de Datos en proyectos de Ciberseguridad. Para hacer match deberás ser Arquitecto/a Front experto orientado a Arquitectura de Presentacion e Interfaces Seguras para liderar la definicion y evolucion de aplicaciones frontend escalables, modulares y robustas en proyectos criticos y entornos regulados. Entre tus retos estarán: • Diseño y evolución de arquitecturas frontend escalables, seguras y mantenibles., • Definición de interfaces, sistemas de diseño y componentes reutilizables (Atomic Design)., • Conocimientos en SASS, BEM, responsive design, accesibilidad y optimización de rendimiento., • Integración con APIs y backend, gestión de estado, seguridad y control de errores., • Liderazgo técnico, revisión arquitectónica y mentoring de equipos frontend., • Valorable experiencia en TypeScript, Docker y tecnologías de mapas (Google Maps, Leaflet, OpenLayers). Imprescindible formación en Informatica, Telecomunicaciones o similar, ingles alto hablado y escrito capacidad analitica, liderazgo técnico, orientación a producto y comunicación clara con perfiles tecnicos, funcionales y de negocio • Estabilidad y crecimiento profesional., • Proyectos innovadores de alto impacto., • Flexibilidad y buen ambiente de trabajo. xqbhyrx, • Formación continua y plan de carrera., • Salario competitivo y beneficios corporativos #J-18808-Ljbffr

Una consultora de gestión de datos en Barcelona busca un Senior Data Analyst con experiencia en consultoría tecnológica y gobierno del dato. No deje pasar esta oportunidad, inscríbase rápidamente si su experiencia y habilidades coinciden con lo que se indica en la siguiente descripción. Se valorará tener conocimientos en herramientas como Collibra, Alation o Informatica, y habilidad para coordinar equipos. xcskxlj El paquete retributivo incluye salario fijo más variable y beneficios como 27 días de vacaciones y jornada intensiva durante los viernes. #J-18808-Ljbffr

ROLE DESCRIPTION Solicitar este puesto es sencillo. Desplácese hacia abajo y haga clic en "Solicitar" para ser considerado para esta posición. The Senior Business Intelligence (BI) Developer is responsible for designing, developing, and implementing advanced BI solutions. This role requires strong skills in building semantic models, collaborating with business stakeholders to gather and translate business requirements into technical specifications, and working with IT teams to understand and optimize data flows. The Senior BI Developer plays a critical role in transforming raw data into actionable insights, ensuring that business decisions are data-driven and supported by robust analytics. RESPONSIBILITIES • Design, build, and maintain robust semantic models that simplify complex data structures, enabling end-users to perform efficient analysis., • Ensure that semantic models align with business requirements and data governance best practices., • Optimize data models for performance and scalability, ensuring data accuracy and consistency across different BI tools. Collaboration with Business Stakeholders • Work closely with business units (e.g., sales, marketing, pricing) to gather and analyse reporting and analytics needs., • Translate business requirements into clear, detailed technical specifications for BI solutions., • Develop interactive dashboards, reports, and visualizations based on business specifications, enabling data-driven decision-making., • Provide guidance and training to business users on how to effectively use BI tools and solutions. BI Solution Design and Development • Lead the end-to-end development of BI solutions, from initial concept to final delivery., • Create and maintain custom reports, dashboards, and scorecards that provide actionable insights and help achieve key performance indicators (KPIs)., • Ensure that BI solutions are aligned with business objectives and user requirements, while adhering to technical standards and best practices., • Perform regular reviews and optimizations of existing BI solutions to enhance performance and user experience. Data Governance and Quality • Implement and enforce data governance best practices to ensure data integrity, security, and compliance., • Perform data validation and cleansing as necessary to maintain high-quality and trustworthy data., • Monitor and troubleshoot data quality issues, working with IT and business teams to resolve any discrepancies. PROFILE • Education: Degree in Computer Science, Information Technology, Business Analytics, or a related field., • Experience: 5+ years of experience in Business Intelligence development, with a focus on building semantic models and data analytics., • Technical Skills:, • Strong proficiency in BI tools such as Power BI, Tableau, or QlikView., • Expert‑level knowledge in designing and building OLAP and semantic models (e.g., in Power BI or SSAS)., • Proficient in SQL, DAX, Python, or Spark for querying and modelling data., • Experience with ELT tools and data integration (e.g., Fabric, Informatica)., • Familiarity with cloud‑based data platforms (e.g., Azure, AWS, or Google Cloud) and data warehousing solutions., • Business Skills:, • Strong communication skills to bridge the gap between technical teams and business stakeholders., • Proven experience in translating business requirements into actionable technical solutions., • Ability to manage multiple projects, prioritise tasks, and meet deadlines in a fast‑paced environment., • Familiarity with Agile methodologies and project management tools., • Analytical Thinking: Ability to break down complex business problems and analyse data to identify trends and actionable insights., • Collaboration: Strong interpersonal skills to work with cross‑functional teams and stakeholders at all levels of the organisation., • Attention to Detail: Precision in developing accurate data models, dashboards, and reports., • Leadership: Capable of mentoring and guiding junior team members, while driving innovation in BI practices. WHAT WE OFFER • Competitive remuneration package: fixed part + bonus paid twice a year in March and September. The bonus is calculated according to the company's performance., • Stable employment conditions: permanent contract., • Ticket Restaurants (2420 € net by year)., • Life insurance paid for by the company., • Possibility to apply at any time for private medical insurance with Adeslas., • Modern office in an attractive location in Barcelona (Sants)., • Friendly and international working environment with collaborative spirit. We have employees with more than 33 different nationalities in our Barcelona office!, • Access to an online platform reserved for our employees where you can benefit from discounts on more than 50 brands including fashion, technology, travel, culture, etc., • Remote work policy: the company provides 250 € per year gross to manage internet and other expenses., • Teleworking model: hybrid model with a lot of flexibility., • Flexible benefits in transport, education, kindergarten. OUR VALUES Hexagon is proud to be an Equal Employment Opportunity employer. We consider all qualified applicants for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by law. At Hexagon, we believe that diversity of thought, background, and experience makes us stronger. Our people’s passion, creativity, and dedication drive our success, and we strive to be the place where talented individuals want to grow and do their best work. At Hexagon Geosystems, our energy and engagement are reflected in our commitment to innovation, integrity, and excellence. xcskxlj Here, you will find opportunities to develop professionally, take on new challenges, and be part of a collaborative culture that values both independent thinking and teamwork. #J-18808-Ljbffr

IQUADRAT INFORMATICA SL, a Barcelona-based technology company, is seeking several Researchers to join their R&D department.

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. Aumente sus posibilidades de conseguir una entrevista leyendo la siguiente descripción general de este puesto antes de presentar su candidatura. WHY JOIN US If 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 ROLE As a Data Steward, you’ll own how product information moves from business teams to market—validating, enriching, and syndicating data through inRiver across every channel it touches. It’s a cross‑functional role with real breadth: resolving data gaps at the source, maintaining syndication templates, and keeping product data accurate and channel‑ready. WHAT YOU WILL DO • Validate product data across core systems to ensure completeness and accuracy., • Upload product data into PIM systems and resolve data gaps with stakeholders., • Support business teams with product data issues across channels., • Communicate data requirements to stakeholders to ensure data quality aligned with product launch timelines., • Create, track, and report on product data and launch status., • Maintain and reconfigure syndication templates in inRiver. MUST HAVES • 3+ years of experience in data management., • Understanding of data lifecycle., • Experience using multiple tools for data management and stewardship., • Experience with inRiver or PIM tools (Salsify, Informatica, Akeneo)., • Experience with PIM syndication for retailers or marketplaces., • Proficiency in Excel., • Ability to work under tight deadlines. PERKS AND BENEFITS • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps., • Competitive compensation: USD‑based pay with education, fitness, and team activity budgets., • Exciting projects: Modern solutions with Fortune 500 and top product companies. xqbhyrx, • Flextime: Flexible schedule with remote and office options. #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. ¿Es este su próximo empleo? Descúbralo leyendo la descripción completa a continuación y no dude en enviar su candidatura. WHY JOIN US If 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 ROLE As a Data Steward, you’ll own how product information moves from business teams to market — validating, enriching, and syndicating data through inRiver across every channel it touches. It’s a cross-functional role with real breadth: resolving data gaps at the source, maintaining syndication templates, and keeping product data accurate and channel‑ready. For someone who takes pride in data quality and wants visibility across the full product data lifecycle, this is for you. WHAT YOU WILL DO • Validate product data across core systems to ensure completeness and accuracy., • Upload product data into PIM systems and resolve data gaps with stakeholders., • Support business teams with product data issues across channels., • Communicate data requirements to stakeholders to ensure data quality aligned with product launch timelines., • Create, track, and report on product data and launch status., • Maintain and reconfigure syndication templates in inRiver. MUST HAVES • 3+ years of experience in data management., • Understanding of data lifecycle., • Experience using multiple tools for data management and stewardship., • Experience with inRiver or PIM tools (Salsify, Informatica, Akeneo)., • Experience with PIM syndication for retailers or marketplaces., • Proficiency in Excel., • Ability to work under tight deadlines., • Strong communication skills., • Fluent English level. PERKS AND BENEFITS • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps., • Competitive compensation: USD-based pay with education, fitness, and team activity budgets., • Exciting projects: Modern solutions with Fortune 500 and top product companies. xqbhyrx, • Flextime: Flexible schedule with remote and office options. #J-18808-Ljbffr

Data Classification, Standards and Definitions Partner — Job Architecture & Skills - Location: Barcelona, Spain About the job The Skills, Tasks, and Job Architecture Data Classification Partner is a newly created, strategically critical individual contributor role and has been established in direct response to one of Sanofi's most urgent and high-priority strategic imperatives: the integration of skills and tasks data into the Data Foundation within the upcoming year in support of Sanofi's skills-based organisation transformation. This role is the designer of enterprise data governance frameworks, standards, and data quality rules for the Skills, Tasks, and Job Architecture domains and owns the governance infrastructure that makes the data trustworthy and AI-ready. Key Responsibilities Data Governance Framework Design & Ownership - Design the enterprise data governance frameworks, standards, and data quality rules for the Skills, Tasks, and Job Architecture domains ensuring it serves business outcomes - Translate governance decisions and policy updates into usable, consistent, and actionable data assets across the Skills, Tasks, and Job Architecture domains - Document and maintain approved data definitions and data quality rules for Skills, Tasks, and Job Architecture data - Ensure the data catalogue is complete, accurate, and continuously up to date —including definitions, ownership, lineage, sensitivity classification, and data quality rules - Classify data assets including sensitivity classification, ensuring full compliance with governance and regulatory requirements - Manage data sharing agreements for all cross-domain data exchanges involving Skills, Tasks, and Job Architecture data - Ensure Job Architecture data consistency and alignment across global regions and functions Data Quality Campaign Design & Governance - Design and run the data quality check framework across source systems and the Data Foundation — defining rules, ownership, review cycles, and escalation paths - Derive and drive proactive data quality campaigns across Skills, Tasks, and Job Architecture data domains — identifying patterns of poor data quality, designing targeted remediation campaigns, and coordinating with team members to execute them at scale - Investigate root causes of systemic data issues across Workday — diagnosing structural problems and translating findings into corrective governance actions and campaign-based remediation efforts - Monitor data quality trends over time, using insights to continuously improve data quality rules, checks, and governance standards Data Foundation Enablement & Technical Governance - Enable Skills, Tasks, and Job Architecture data for the Data Foundation, serving as the key SME to the Data Foundation team within the assigned scope - Ensure data consistency, lineage and traceability from source systems through to the Data Foundation - Own the SkyHive interface on the technical lineage and data catalog side: maintain data lineage documentation for the Workday-to-SkyHive data feed, ensure SkyHive data assets are cataloged in Informatica CDGC, and govern the technical data sharing agreement for the SkyHive integration - Support AI and analytics initiatives through proper data classification and standardization - Ensure data governance frameworks are in place to support current and future AI usage of Skills, Tasks, and Job Architecture data - Build knowledge content on data governance and classification for AI initiatives and employees across the organization Workday Configuration Analysis & Root Cause Analysis - Analyse local Workday rules, validations, and configurations that impact global standardisation efforts for Skills, Tasks, and Job Architecture data - Identify where local configurations block the cloning or deployment of global standard configurations - Separate genuine legal and compliance constraints from legacy or preference-based local rules to enable informed global standardization decisions Domain Expertise & Stakeholder Engagement - Serve as the key global point of contact for data governance, data classification, and data catalog matters across Skills, Tasks, and Job Architecture data - Partner to drive adoption of global data standards across all regions and functions - Train and support Local Data Champions across regions and business units - Support Data & Insights Team and analysts on relevant data matters to enable trusted reporting and analytics - Collaborate with the Digital Team on data configuration matters, providing expertise on data-related aspects and ensuring alignment between system configurations and data governance standards About you Required Qualifications - Bachelor's degree in Data Science, Information Technology, HR Analytics, Business Analytics, or a related field - Strong understanding of Workday architecture, configurations, and data structures - 5+ years of experience in data management, HR analytics, or analytical roles - Knowledge of data governance tools and methodologies, data lineage, data cataloging, and metadata management practices - Familiarity with data quality assessment and remediation techniques - Understanding of regulatory compliance requirements (GDPR, data privacy, etc.) - Excellent analytical and problem-solving skills with attention to detail - Strong communication skills with ability to translate technical concepts for business stakeholders - Project management capabilities with experience leading cross-functional initiatives Preferred Qualifications - Workday certification in HCM, Financial Management, or related modules - Experience with data governance frameworks (DAMA-DMBOK, DCAM, etc.) - Knowledge of AI/ML data requirements and data preparation processes - Experience in pharmaceutical, healthcare, or highly regulated industries - Change management skills and ability to influence without direct authority - Global mindset with understanding of regional compliance and business requirements - Experience with the SkyHive skills intelligence platform - Experience working with Data Foundation / Snowflake environments - Experience with the Cornerstone learning and talent management platform - Strong hands-on experience with Skills, Jobs, Tasks, and Job Architecture data domains - Strong experience with Job Architecture data structures, taxonomies, and governance #LI-Hybrid #BarcelonaHub #SanofiHubs

Compensaciones / Beneficios • Diseñar, desarrollar y mantener procesos ETL utilizando Informatica DEI o IDQ • Colaborar con equipos técnicos y de negocio para entender requerimientos de datos y entregar soluciones de calidad • Realizar análisis avanzados de datos para soportar decisiones es

TRC es una empresa de integración de tecnología con 35 años de experiencia en el sector y sedes en todo el territorio nacional.Actualmente estamos inmersos en un proceso de expansión, crecimiento y profesionalización de cara a afrontar los nuevos retos y objetivos resultado de un crecimiento co

L (IQU) is a technology company founded in 1997, with a focus on delivering System-Level evaluation tools for wireless networks.IQU R&D has been providing global solutions and services in the use of Internet and Telecommunications to companies and institutions that use information and communication

EMPRESA: IQUADRAT INFORMATIC SL- DEPARTAMENTO I+D.Por favor, verifique que tiene el nivel de experiencia y las cualificaciones adecuadas leyendo la descripción completa de esta oportunidad a continuación.UBICACIÓN: BARCELONA CENTRO (GRAN DE GRACIA).HORARIO: LUNES A VIERNES DE 9-17:30H.Descripció

We are looking for an ADMINISTRATIVE TECHNICIAN to support the MANAGEMENT OF THE R&D DEPARTMENT.At IQUADRAT, you will join a young and dynamic team, collaborating closely with technical staff.Tasks Under the supervision of the EUROPEAN PROJECTS MANAGER, your main responsibilities will be: ● Open

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