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This job is with Allianz Commercial, an inclusive employer and a member of my Gwork - the largest integral platform for the LGBTQ+ business community. At Allianz Services, we have a strong specialization in core insurance operations, shared services, business analytics, engineering, and management consulting. We are looking for a Data Architect to join Allianz Services Spain, contributing to the Data & AI Service through the definition of architecture standards, reference designs, and data platform blueprints. The role focuses on defining, documenting and governing modern data architectures across platforms, data products, data governance, and AI integration, aligned with Allianz Group standards. Responsibilities Define and maintain architecture standards, blueprints and reference architectures aligned with Group Data strategy. Produce clear and actionable architectural documentation (principles, guardrails, patterns) for engineering and data teams. Translate complex architecture topics into consumable guidance for technical and business stakeholders and design modern data platform architectures (e.G., lakehouse, data mesh, self-service data platforms). Define end-to-end data flows from ingestion to consumption (BI, analytics, AI), contribute to standardization of Azure-based data platforms and cloud-native architectures and define integration patterns for data catalogues, lineage and governance tooling; ensure alignment with data governance frameworks, data quality and compliance requirements. Support definition of monitoring and telemetry patterns for data reliability and compliance and define standards for data products, including data contracts, quality controls and lifecycle management. Support implementation patterns for reusable and interoperable data products to contribute to cross‑entity data sharing models and architectural guardrails. Define architectural patterns for integrating data platforms with AI/ML and Gen AI solutions whilst also making sure data products are AI‑ready (APIs, semantic layers, interfaces). Qualifications University degree in Data Science, Data Engineering, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience) with 5‑8 years of hands‑on experience in data architecture, data engineering or enterprise architecture roles. Strong command of modern data platform architectures (Data Mesh, Data Lakehouse, medallion architecture, event‑driven patterns) and practical experience with cloud‑native data platforms (Databricks and/or Microsoft Fabric strongly preferred). Experience designing and governing data products (data contracts, output ports, semantic versioning, quality gates, lineage), familiarity with enterprise data governance frameworks (DAMA‑DMBOK, TOGAF or equivalent) and their practical application. Understanding of regulatory data requirements relevant to financial services or insurance (DORA, IFRS17, Solvency II awareness welcomed). Experience with data cataloguing and governance tooling (e.G., Informatica IDMC, Unity Catalogue, or comparable platforms) and an understanding of how Data Products connect to AI/ML pipelines, Gen AI applications and agentic systems. Awareness of API and integration standards (REST, Open API, MCP‑Model Context Protocol, event‑streaming such as Kafka/Async API). Strong written communication skills with the ability to produce clear, structured and high‑quality architectural documentation, collaborative working style with ability to operate in a matrixed, multinational organization. We welcome candidates with an interest in machine learning. Benefits We offer a hybrid work model which recognizes the value of striking a balance between in‑person collaboration and remote working. 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 balance between family and career and help our people return from career breaks with experience that nothing else can teach. Allianz Group is one of the most trusted insurance and asset management companies in the world. 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

Job Description & SummaryUna carrera dentro de la práctica de Gobierno del Dato te brindará la oportunidad de ayudar a nuestros clientes a desarrollar un programa de gobierno de datos eficaz que los acerque más a su ambición de convertirse en “data-driven”.A medida que las empresas avanzan en su transformación digital, se generan y comparten más datos entre organizaciones, socios y clientes de manera exponencial. Como equipo de Gobierno del Dato, desempeñamos un papel integral en ayudar a los clientes (de cualquier sector y geografía) a superar los desafíos que les impiden alcanzar esta ambición: p.Ej. silos de información, calidad deficiente de los datos, duplicidades, falta de confianza en los datos y los informes.Actualmente estamos buscando un perfil con experiencia para nuestro departamento de Data Consulting, especificamente con experiencia en Data Strategy & Data Governance. Del candidato esperamos que tenga experiencia y habilidades demostrables en los siguientes campos:- Definir y desplegar una estrategia de datos corporativa.- Definir y/o adaptar frameworks de Gobierno del Dato basados en estándares internacionales (DAMA, DCAM, …).- Dar soporte a Chief Data Officers (CDO) o Head of Data (HoD) en el cumplimiento de su mandato.- Definir roles y responsabilidades relacionados con el dato (data owner, steward, architect, …).- Alinear aspectos de la gestión y del gobierno de los datos con áreas de negocio, IT, seguridad y privacidad corporativas.- Definir e implantar modelos para la gestión de la Calidad del Dato, Metadatos, Seguridad y Privacidad del dato.- Definir e implantar iniciativas de gestión del cambio y de cultura de datos- Definir políticas, procedimientos y estándares de gobierno del dato.- Asesorar y/o operar herramientas de soporte como por ejemplo Collibra, Purview, Informatica (IDQ/EDC/Axon), IBM InfoSphere o Alation.Requisitos- Tienes un background en el ámbito IT (ingeniería informática, ingeniería de telecomunicaciones, ingeniería industrial, matemáticas) o de negocio (ADE).- Tienes entre 2 y 5 años de experiencia en los aspectos detallados anteriormente.- Te comunicas y presentas resultados de manera eficaz en inglés y castellano.- Eres una persona abierta, proactiva y comprometida con la ambición de crecer profesionalmente.- Se valorará tener experiencia gestionando equipos#J-18808-Ljbffr

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

We are looking for a skilled Salesforce Developer with strong expertise in data migration, integrations and automation to join our growing team. If you have hands-on experience moving large datasets into Salesforce and building reliable integrations, this role is for you. ¿Tiene lo que se necesita para triunfar? La siguiente información debe ser leída atentamente por todos los candidatos. Key Skills: • Salesforce CRM & Data Model, • Data Migration & Import Tools (Bulk API, Data Loader, Workbench), • Integrations (REST/SOAP APIs, ETL tools like MuleSoft/Informatica), • Scripting (Python, Apex, JavaScript, SQL), • Data Quality, Reporting & Automation Requirements: • 3+ xbhjioe years of Salesforce Development experience, • Proven Salesforce migration project experience, • Strong analytical and problem-solving skills, • Salesforce certifications are a plus

ppThis job is with Allianz Commercial, an inclusive employer and a member of myGwork - the largest integral platform for the LGBTQ+ business community. /ppAt Allianz Services, we have a strong specialization in core insurance operations, shared services, business analytics, engineering, and management consulting. We are looking for a Data Architect to join Allianz Services Spain, contributing to the Data AI Service through the definition of architecture standards, reference designs, and data platform blueprints. The role focuses on defining, documenting and governing modern data architectures across platforms, data products, data governance, and AI integration, aligned with Allianz Group standards. /ph3Responsibilities /h3pDefine and maintain architecture standards, blueprints and reference architectures aligned with Group Data strategy. Produce clear and actionable architectural documentation (principles, guardrails, patterns) for engineering and data teams. Translate complex architecture topics into consumable guidance for technical and business stakeholders and design modern data platform architectures (e.g., lakehouse, data mesh, self-service data platforms). Define end-to-end data flows from ingestion to consumption (BI, analytics, AI), contribute to standardization of Azure-based data platforms and cloud-native architectures and define integration patterns for data catalogues, lineage and governance tooling; ensure alignment with data governance frameworks, data quality and compliance requirements. /ppSupport definition of monitoring and telemetry patterns for data reliability and compliance and define standards for data products, including data contracts, quality controls and lifecycle management. Support implementation patterns for reusable and interoperable data products to contribute to cross‑entity data sharing models and architectural guardrails. Define architectural patterns for integrating data platforms with AI/ML and GenAI solutions whilst also making sure data products are AI‑ready (APIs, semantic layers, interfaces). /ph3Qualifications /h3pUniversity degree in Data Science, Data Engineering, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience) with 5‑8 years of hands‑on experience in data architecture, data engineering or enterprise architecture roles. /ppStrong command of modern data platform architectures (Data Mesh, Data Lakehouse, medallion architecture, event‑driven patterns) and practical experience with cloud‑native data platforms (Databricks and/or Microsoft Fabric strongly preferred). Experience designing and governing data products (data contracts, output ports, semantic versioning, quality gates, lineage), familiarity with enterprise data governance frameworks (DAMA‑DMBOK, TOGAF or equivalent) and their practical application. Understanding of regulatory data requirements relevant to financial services or insurance (DORA, IFRS17, SolvencyII awareness welcomed). /ppExperience with data cataloguing and governance tooling (e.g., Informatica IDMC, Unity Catalogue, or comparable platforms) and an understanding of how Data Products connect to AI/ML pipelines, GenAI applications and agentic systems. Awareness of API and integration standards (REST, OpenAPI, MCP‑Model Context Protocol, event‑streaming such as Kafka/AsyncAPI). Strong written communication skills with the ability to produce clear, structured and high‑quality architectural documentation, collaborative working style with ability to operate in a matrixed, multinational organization. We welcome candidates with an interest in machine learning. /ph3Benefits /h3pWe offer a hybrid work model which recognizes the value of striking a balance between in‑person collaboration and remote working. 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. /ppFlexible working, health and wellbeing offers (including healthcare and parental leave benefits) support balance between family and career and help our people return from career breaks with experience that nothing else can teach. /ppAllianz Group is one of the most trusted insurance and asset management companies in the world. 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. /p /p #J-18808-Ljbffr

ph3Introduction /h3pExclusive 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. /ppOur 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 /ppAt 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. /ph3Duties and Responsibilities /h3pEXN'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. /ppThe 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. /ppAs 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. /ppThe 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. /ppbAs The Master Data Analyst, You Will /b /pulliDefine and document data standards, validation rules, and quality thresholds for the Customer/Partner and Vendor domains /liliDesign and maintain a data quality scorecard for the Customer/Partner and Vendor domains, covering dimensions such as: completeness, accuracy, consistency, timeliness. /liliMaintain a structured log of known data quality issues, categorised by domain, system, and business impact /liliSupport 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 /liliOperate the MDM stewardship workflows for the Customer/Partner and Vendor domains: review match proposals, approve or reject merge recommendations, manage exceptions /liliContribute 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 made /li /ulh3Qualifications and Experience /h3pbAbout you /b /ppbThe ideal: Master Data Analyst /b /pulli5-8 years' experience in master data management, data quality, data governance /liliUnderstanding of master data management concepts, including golden record curation, match and merge and survivorship /liliExperience of working with multiple source systems and resolving data errors across them /liliDemonstrated ability to define data quality standards and metrics - not just identify problems, but structure and measure them /liliStrong analytical skills; be comfortable interrogating data in SQL, Excel, or BI tools to investigate quality issues /liliExperience producing data quality reports and domain documentation for non-technical business audiences /liliUnderstanding of CRM or ERP data structures: accounts, contacts, hierarchies, and relationships /li /ulh3Why work for us /h3pWe 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 /ppWe 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. Please click here to review our Diversity and Inclusion Policy for further information. /ppWe care about your data: please click here to read our Recruitment Data Protection Policy prior to applying, and therefore sharing your data with us. /ppXcelerate 2030 /ppbDesired Skills And Experience /b /ppPowerBI Databricks MDM stewardship informatica /p /p #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

ppIQUADRAT INFORMATICA S.L (IQU) is a technology company founded in 1997, with a focus on delivering System-Level evaluation tools for wireless networks. IQU RD 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 RD 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 RD 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 RD 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. /p pIQU´s RD 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 in‑house experimentation platforms contributing to the products portfolio of the RD´s department. The successful applicant should have a PhD degree in Telecommunications, Electronic Engineering or Computer Science. /p h3Responsibilities /h3 ul liCarry 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. /li liBe in contact and work with cutting‑edge technology, validated at our in‑house experimental platforms. /li liWork in challenging 5G/6G and IoT RD projects and represent the company in project meetings and research initiatives. /li liParticipate in the preparation of research funding proposals. /li liParticipate in scientific conferences in the area. /li liRepresent IQU in exhibitions like Mobile World Congress Forum, IoT Solutions World Congress, Smart Cities Expo etc. /li /ul h3Basic Qualifications /h3 ul liOutstanding oral and writing English skills. /li liGood knowledge of current technology trends related to quantum communication, network protocol design and distributed systems, digital twins for quantum networks and QKD protocols. /li liFamiliarity with quantum networking simulators. /li liGood publication record in scientific peer‑reviewed journals. /li /ul h3Preferred Qualifications /h3 ul liExperience in EU‑funded projects (e.g., Horizon Europe, SNS JU, Quantum). /li liFamiliarity with 6G architectures and integration of quantum technologies into future networks. /li liKnowledge of post‑quantum cryptography and hybrid security frameworks. /li liExperience in participating international research funding projects. /li /ul h3Benefits /h3 ul liA full‑time contract, with a probation period of 6 months. Starting date flexible from September‑October 2026. /li liWork in an open‑space office environment in the centre of Barcelona, promoting creativity, innovation, and collaborative research among senior and early‑stage researchers. Option to work from home, but may need to attend the office when needed for meetings or teamwork. /li liRank and salary determined according to qualifications and work experience, varying between 35k and 42k. /li /ul h3How to Apply /h3 ul liFull CV, including a list of publications and name (email address, etc.) of three referees. /li liCover letter stating the motivation and suitability of the candidate. /li liApplication documents must be submitted in PDF format to /li /ul /p #J-18808-Ljbffr

Experteer Overview 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 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

Job Description & Summary Sea uno de los primeros solicitantes, lea la descripción completa del puesto a continuación y luego envíe su candidatura para que sea considerada. Una carrera dentro de la práctica de Gobierno del Dato te brindará la oportunidad de ayudar a nuestros clientes a desarrollar un programa de gobierno de datos eficaz que los acerque más a su ambición de convertirse en “data-driven”. A medida que las empresas avanzan en su transformación digital, se generan y comparten más datos entre organizaciones, socios y clientes de manera exponencial. Como equipo de Gobierno del Dato, desempeñamos un papel integral en ayudar a los clientes (de cualquier sector y geografía) a superar los desafíos que les impiden alcanzar esta ambición: p.ej. silos de información, calidad deficiente de los datos, duplicidades, falta de confianza en los datos y los informes. Actualmente estamos buscando un perfil con experiencia para nuestro departamento de Data Consulting, específicamente con experiencia en Data Strategy & Data Governance. Del candidato esperamos que tenga experiencia y habilidades demostrables en los siguientes campos: • Definir y desplegar una estrategia de datos corporativa., • Definir y/o adaptar frameworks de Gobierno del Dato basados en estándares internacionales (DAMA, DCAM, …)., • Dar soporte a Chief Data Officers (CDO) o Head of Data (HoD) en el cumplimiento de su mandato., • Definir roles y responsabilidades relacionados con el dato (data owner, steward, architect, …)., • Alinear aspectos de la gestión y del gobierno de los datos con áreas de negocio, IT, seguridad y privacidad corporativas., • Definir e implantar modelos para la gestión de la Calidad del Dato, Metadatos, Seguridad y Privacidad del dato., • Definir e implantar iniciativas de gestión del cambio y de cultura de datos., • Definir políticas, procedimientos y estándares de gobierno del dato., • Asesorar y/o operar herramientas de soporte como por ejemplo Collibra, Purview, Informatica (IDQ/EDC/Axon), IBM InfoSphere o Alation. Requisitos • Tienes un background en el ámbito IT (ingeniería informática, ingeniería de telecomunicaciones, ingeniería industrial, matemáticas) o de negocio (ADE)., • Tienes entre 2 y 5 años de experiencia en los aspectos detallados anteriormente., • Te comunicas y presentas resultados de manera eficaz en inglés y castellano., • Eres una persona abierta, proactiva y comprometida con la ambición de crecer profesionalmente. xcskxlj, • Se valorará tener experiencia gestionando equipos. #J-18808-Ljbffr

pulli Formación universitaria y bexperiencia de entre 3 y 6 años /b trabajando en consultoría tecnológica en proyectos de gobierno del dato y muy valorable experiencia en sector público. /li li bGobierno del Dato /b: sólida experiencia en definición e implementación de políticas, estándares y procesos de gestión de datos. /li li bHerramientas de catalogación /b: dominio de plataformas como Collibra, Alation o Informatica para la gestión de metadatos. /li li bModelado y linaje de datos /b: capacidad para diseñar modelos de datos y trazar su flujo a través de sistemas. /li li bConocimiento del marco DAMA-DMBOK /b: experiencia aplicando las mejores prácticas del Data Management Body of Knowledge (DAMA-DMBOK) en iniciativas de gobierno del dato, incluyendo calidad, metadatos, linaje y arquitectura de datos. Valorable certificación. /li li⚙ Buena binterlocución con áreas técnicas /b de cliente. /li li /ul /li /p

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

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. xcskxlj 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

ppAgileEngine 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. /ph3WHY JOIN US /h3pIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! /ph3ABOUT THE ROLE /h3pAs a Data Steward, you will play a key role in ensuring high-quality, reliable product data that directly impacts sales performance across the EMEA market. This role sits at the intersection of business and technology, shaping how product information flows through PIM systems and reaches external channels. You’ll have real influence on data standards, processes, and visibility, while collaborating with diverse stakeholders in a structured yet supportive environment. It’s an opportunity to grow your expertise in data stewardship, product information management, and cross-functional collaboration within a global setup. /ph3WHAT YOU WILL DO /h3ulliValidate that mandatory product data provided by business teams is accurate and complete. /liliUpload product data into the PIM system and resolve data gaps, including coordinating with multiple stakeholders to complete missing information. /liliSyndicate product data into channel-specific templates and resolve any related issues. /liliSupport business teams when they encounter issues using product data for the channel. /liliClarify and communicate data issues and requirements to stakeholders to ensure data quality and accuracy. /liliCreate, track, and report on the status of product data requests. /liliReconfigure and maintain syndication templates in inRiver. /li /ulh3MUST HAVES /h3ulliMinimum of b3 years of experience in data management /b, with solid knowledge of core principles and concepts. /liliGood understanding of the bdata lifecycle /b. /liliAbility to use multiple tools to create and maintain bdata stewardship processes /b, inputs, and outputs. /liliHands-on experience with bInriver /b is required; alternatively, experience with bSalsify, Informatica, or Akeneo /b (in complex implementations) will be considered. /liliExperience working with bretailers and marketplaces /b, including bPIM syndication setup and management /b. /liliAbility to work efficiently under tight and ongoing deadlines. /liliStrong bcommunication skills /b, with the ability to interact with both business and technical stakeholders. /lilibFluent written and spoken English /b. /li /ulh3PERKS AND BENEFITS /h3ullibProfessional growth: /b Mentorship, TechTalks, and personalized growth roadmaps. /lilibCompetitive compensation: /b USD-based pay with education, fitness, and team activity budgets. /lilibExciting projects: /b Modern solutions with Fortune 500 and top product companies. /lilibFlextime: /b Flexible schedule with remote and office options. /li /ul /p #J-18808-Ljbffr

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

¿Tiene su CV preparado? Si es así y confía en que este es el puesto ideal para usted, asegúrese de enviar su solicitud lo antes posible. Scientific Knowledge Engineer, Ontology & Data Modeling This role is responsible for maximizing the value of our data assets over a lifetime to bring purpose to data by acting as translators of highly technical information from domain experts into an appropriate data model – complete with significant ontology and vocabulary – that can be utilized to effectively structure and index the data. Specifically, the engineer works with Product managers and R&D subject matter expertise to define the language (data models, ontology, standards, etc.) of science into data products by acting as the voice of the "Knowledge base" and the interoperability/value of the asset. Key Responsibilities • Definition of schemas/ontology and data models of scientific information required for the creation of value‑adding data products. This includes accountability for the quality control and mapping specifications to be industrialized by data engineering and maintained in platform‑provisioned tooling., • Accountable for the quality control (through validation and verification) of mapping specifications to be industrialized by data engineering and maintained in platform‑provisioned tooling – e.g., models, schemas, controlled vocab., • Working with Product managers/engineers confidently converting business needs into defined deliverable business requirements to enable the integration of large‑scale biology data to predict, model, and stabilize therapeutically relevant protein complex and antigen conformations for drug and vaccine discovery., • Collaborate with external groups to align data standards with industry/academic ontologies ensuring that data standards are defined with usage/analytics in mind., • Provide bespoke subject‑matter expertise for R&D data to translate deep science into data for actionable insights., • Contribute to and maintain documentation of data standards, ontology decisions, and mapping rationale to support organizational knowledge transfer and auditability. Basic Qualifications • Masters degree in Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science (with a life science application focus)., • 6+ years of relevant work experience., • Specific experience contributing to Knowledge Graph development efforts, including entity modeling, relationship design, and schema governance., • Hands‑on experience with open‑source ontology tools and languages: Protégé, SPARQL, OWL, SKOS, SHACL, RML, RDF/Turtle., • Working knowledge of major life sciences ontologies: Gene Ontology (GO), OBO Foundry ontologies (CL, UBERON, HPO, MONDO, CHEBI, EFO, CLO), MeSH, SNOMED CT, UMLS., • Familiarity with linked data principles and semantic web technologies., • Experience with industry‑standard tools for building data serialization protocols (e.g., JSON Schema, LinkML)., • Proficiency in at least one programming language – preferably Python – for scripting vocabulary mappings, building data models, automating QC, and prototyping pipelines. Preferred Qualifications • Experience with data governance and data quality tooling (e.g., Ataccama, Informatica, Talend, OpenRefine, Great Expectations, dbt)., • Experience with at least one programming language – e.g., Python – for scripting vocabulary mappings, building data models, etc., • Experience supporting LLM integration or AI‑readiness workflows – including metadata enrichment, entity linking, embedding pipelines, or retrieval‑augmented generation (RAG) architectures., • Understanding of vector databases and their role in semantic search and knowledge retrieval (e.g., Weaviate, Chroma)., • Familiarity with cloud data platforms and infrastructure relevant to large‑scale biological data (e.g., AWS, GCP, Azure)., • Familiarity with graph database technologies (e.g., Neo4j, Amazon Neptune, Stardog, GraphDB, TigerGraph). xcskxlj Equality, Diversity, and Inclusion We welcome all individuals and evaluate solely on the quality of their work and teamwork. #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 such as application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Los candidatos deben tomarse el tiempo de leer atentamente todos los elementos de este anuncio de empleo. Por favor, envíen su solicitud sin demora. 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 life cycle;, • 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., • Flextime: Flexible schedule with remote and office options. xcskxlj Meet Our Recruitment Process • Application, • Coding Challenge, • Video Interview, • Technical Interview or Interview with the Hiring Manager(s) Each step helps us understand your skills and overall fit. If it’s a match, you’ll receive an offer. #J-18808-Ljbffr

ppThis job is with Allianz Commercial, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. /ph3About the Job /h3pThe 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 harmonised data model with Common Core components, including a globally harmonised Chart of Accounts and standardised accounting and reporting processes. /ppThe ecosystem is designed to streamline finance data management and reporting through key components: organised data storage (Staging Area, Raw Data Vault, Business Data Vault), tailored feeder system integrations, SAP connectivity via Azure functions, and a PowerBI‑enabled consumption layer for detailed analysis and data‑lineage transparency. /ppIt incorporates robust Master and Reference Data Management (Informatica IDMC), rigorous data‑quality checks, and the SimpliFi Studio interface for manual uploads and pipeline monitoring, ensuring seamless operations, high data integrity, and informed decision‑making. /ph3What you do /h3ulliImplement 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. /liliBuild 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. /liliResponsible 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. /liliReview 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. /liliWork alongside Data Modellers, MDM/RDM specialists, and IT component leads. Translate technical constraints and findings into clear inputs for planning and design discussions. /liliEnsure 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. /liliActively participate in sprint planning and delivery cycles – providing effort estimates, flagging technical dependencies, and keeping work moving within their delivery lane. /li /ulh3What you bring /h3ulliHands‑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. /liliPractical experience with modern lakehouse/warehouse platforms – Databricks, Azure Synapse, or equivalents. Understanding of partitioning, clustering, query optimisation. /liliDeep 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). /liliSolid 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. /liliStrong 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. /liliUnderstanding 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. /liliCI/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. /liliFamiliarity with Machine learning is a strong advantage. /li /ulh3What we offer /h3ulliWe offer a hybrid work model which recognises the value of striking a balance between in‑person collaboration and remote working, including up to 25 days per year working from abroad. /liliWe believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares programme and multiple employee discounts (details vary by location). /liliFrom career development and digital learning programmes to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered. /liliFlexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach. /li /ulh3About Allianz Technology /h3pWith its headquarters in Munich, Germany, Allianz Technology is Allianz's integral IT service provider and delivers IT solutions that drive the group's digitalisation. It operates in over 20 countries with more than 11,000 employees. /ph3Commitment to Integrity, Fairness and Inclusion /h3pAllianz Group is one of the most trusted insurance and asset‑management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. /ppAllianz believes in a strong inclusive culture that encourages people to speak their minds, get involved and question the status quo. We are proud to be an equal‑opportunity employer and 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. /p /p #J-18808-Ljbffr

EMPRESA: IQUADRAT INFORMATIC SL- DEPARTAMENTO I+DUBICACIÓN: BARCELONA CENTRO (GRAN DE GRACIA)CONTRATO INDEFINIDOHORARIO: LUNES A VIERNES DE 9-17:30HTareasDescripción completa del empleoBuscamos un/a TÉCNICA ADMINISTRATIVA para dar apoyo a la GESTIÓN DEL DEPARTAMENTO I+D.En IQUADRAT, te incorpora

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.

ph3Position Overview /h3pThe Enterprise Data Management (EDM) Specialist manages the operation, optimization, and continuous enhancement of Zurich TDC’s enterprise data governance platform, focusing on Informatica Cloud Data Governance Catalog (CDGC) and Cloud Data Quality (CDQ). The role ensures trusted, discoverable data through high‑quality metadata management, data quality controls, and end‑to‑end data lineage, and serves as a technical authority for metadata ingestion, API integrations, platform monitoring, and service account governance. /ph3Responsibilities /h3ulliConfigure, automate, and manage data quality rules and monitoring frameworks within CDQ, using AI‑based anomaly detection and monitoring. /liliUse AI to ensure accurate capture, validation, and maintenance of end‑to‑end data lineage, supporting impact analysis and regulatory transparency. /liliDefine and implement data observability metrics such as completeness, freshness, accuracy, and reliability, including reporting and dashboarding powered by AI tools. /liliGenerate and maintain business glossaries, data asset descriptions, and stewardship documentation with AI assistants and agents, proposing and pre‑populating data quality rules and policies based on metadata patterns. /liliCollaborate with data stewards and business stakeholders to drive adoption of catalog and governance capabilities, including training users on AI‑assisted catalog features. /liliManage platform access: user roles, permissions, and service account lifecycle management (creation, credential governance, rotation, compliance). /liliDesign, configure, and optimize metadata ingestion processes using Informatica connectors, APIs, and custom integration patterns. /liliExecute and maintain API/MCP‑based read and write operations to enable automated metadata ingestion, enrichment, and governance workflows. /liliMonitor 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. /liliAct as a subject‑matter expert and second‑line support, coordinating with platform administrators and Informatica vendor support for complex incidents. /liliDocument standards, processes, and best practices using AI to ensure scalability, consistency, and operational excellence. /li /ulh3Qualifications /h3ulliBachelor’s or master’s degree in Computer Science, Information Systems, Data Engineering, or a related field. /liliHands‑on experience with Informatica IDMC, specifically MCC, CDGC, and CDQ. /liliDeep understanding of metadata management and enterprise data cataloging, including metadata models, classifications, and glossaries, and integration patterns for ingesting metadata from multiple sources. /liliExperience designing and implementing data quality rules, data lineage, impact analysis, and governance frameworks. /liliBackground working with enterprise data platforms (data warehouses, ETL/ELT tools, cloud ecosystems); SQL skills and solid understanding of data structures. /liliExperience with API integration and automation (REST APIs, MCP frameworks). /liliKnowledge of authentication and authorization mechanisms (OAuth, JWT, Service principals). /liliPractical experience with Generative AI, ideally in coding and agentic workflows, including automating repetitive technical tasks, designing prompt strategies for LLMs, and integrating AI‑based components into existing data governance workflows. /li /ulh3Preferred Skills Competencies /h3ulliExperience with additional data governance/catalog solutions such as Collibra or Alation. /liliExposure to AI/ML‑based observability or monitoring tools for data platforms. /liliExperience with scripting or programming languages used for automation (Python, PowerShell). /liliFamiliarity with cloud‑native data services in Azure and/or AWS, including security and compliance controls. /liliExperience designing or operating AI‑assisted self‑service data discovery capabilities for business users. /li /ulh3Behavioural and Soft Skills /h3ulliProactive, results‑driven attitude with a commitment to continuous improvement. /liliExcellent analytical, troubleshooting, and problem‑solving capabilities. /liliStrong communication, stakeholder management, and analytical skills. /liliFluency in English; additional languages are an advantage. /li /ulh3Benefits /h3ulliFlexible working model supporting work‑life balance. /liliOption to work abroad up to 25 days per year. /liliFunding of up to €300 for home‑office setup and a monthly home‑office allowance. /liliWide range of internal and external training, including language courses. /liliTicket restaurant and health insurance with flexibility to exchange for other benefits. /liliLife and accident insurance. /liliCollective life retirement plan. /lili€2,000 referral bonus for successful hires. /liliSpecial banking and insurance conditions plus exclusive employee discounts. /liliFunctional diversity benefits. /liliStock options and mortgage benefits. /li /ulh3Location and Schedule /h3ulliLocation: Barcelona, Poblenou, Spain. /liliSchedule: Full time. /liliRecruiter: Alvaro Gallego Zazo. /li /ulh3Equal Opportunity Employer /h3pZurich is an equal‑opportunity employer. We attract and retain the best‑qualified individuals available, regardless of race, ethnicity, religion, gender, sexual orientation, age, or disability. /ppInterested candidates should submit a CV in English. /p /p #J-18808-Ljbffr

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