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IMI, Investigacion, Marketing e Informatica busca encuestadores para un Estudio Oficial de la Administración Pública en el aeropuerto de Barcelona.

pZurich 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. You’ll enable trusted, discoverable data with AI-assisted metadata enrichment, data observability, and end-to-end lineage. /ppYou’ll collaborate with data stewards, business units, and vendor support to implement scalable, AI-enabled catalog solutions and governance processes in a hybrid /p #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. The role involves collaboration with various stakeholders to establish efficient workflows and ensure regulatory compliance.The ideal candidate will hold a degree in a relevant field, possess strong skills in SQL and data management tools, and have experience with API integrations. The position offers flexible work arrangements and other competitive benefits.

pdsm-firmenich is seeking an Expert Digital Tech Technical Data Steward to enhance data governance in Barcelona. The successful candidate will drive data quality initiatives, implement data management practices, and ensure compliance with regulatory frameworks. /ppWith 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. Join us to impact consumers and drive innovation in a supportive culture. /p #J-18808-Ljbffr

ph3About Kuoni Tumlare /h3 pKuoni 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. /p h3Role Overview /h3 pThe 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. /p h3Key Responsibilities /h3 ul liDesign and maintain the enterprise data architecture, including data models, standards, and principles. /li liDefine and manage logical and physical data models in line with business and technical requirements. /li liDesign data flows, integration layers, and interfaces between systems (ETL/ELT processes, APIs, message queues). /li liContribute to the design and maintenance of data warehouses, data lakes, and analytical platforms. /li liImplement data governance principles – management of data domains, metadata, data quality, and reference data. /li liCollaborate with security and compliance teams to ensure data protection and GDPR compliance. /li liSupport the development of data strategy and data culture across the organization. /li liDocument data structures, standards, and methodologies. /li liProvide expert guidance to projects in the area of data layer design. /li /ul h3Technical /h3 ul liStrong knowledge of data modeling (conceptual, logical, physical; 3NF, star schema, snowflake). /li liExpertise with relational databases (MS SQL, Oracle, PostgreSQL, etc.) and modern data platforms (Azure, AWS, GCP). /li liExperience with ETL/ELT tools (e.g., SSIS, Talend, Informatica, dbt, Synapse, Data Factory). /li liFamiliarity with data governance, master data management (MDM), and metadata management. /li liUnderstanding of integration architectures (REST, SOAP, messaging, event streaming – e.g., Kafka). /li liAdvantage: experience with data modeling tools (Erwin, PowerDesigner, ArchiMate, Enterprise Architect, dbdiagram.io, PlantUML). /li liAdvantage: familiarity with BI and analytics tools (Power BI, Tableau, Qlik). /li /ul h3General /h3 ul liStrong analytical and systems thinking. /li liAbility to design scalable and maintainable solutions. /li liExcellent communication skills with both technical and business stakeholders. /li liExperience in leading or coordinating data-related projects is an advantage. /li /ul h3What we offer /h3 ul liGlobal Brand: Opportunity to work in an international environment /li liStability: 100 Years at the top of our field and still pushing into new territory /li liProgression: We reward high performers and look to promote key talent internally /li liLearning and Development opportunities for growth and Upskilling /li liA Supportive Management Culture and autonomous working environment /li liCompany Wide Bonus Scheme /liliDedicated Employee Engagement Activities /li liFlexible Hybrid Working /li liAnnual Awards and Recognition for high Performers /li liFriendly and Collaborative work environment /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

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

Location: Barcelona, SpainDesplácese hacia abajo para obtener una visión general completa de lo que requerirá este trabajo. ¿Es usted el candidato adecuado para esta oportunidad?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.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 ResponsibilitiesAssess and document the downstream impact of data quality issues across payroll processing, management reporting, third-party integrations, and AI/machine learning model inputsConduct structured root cause analyses to distinguish between isolated data errors and systemic issues requiring process or configuration-level interventionPartner 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 updatesServe as a bridge between data operations and technical teams, translating business data quality requirements into actionable technical specificationsPrepare, validate, and execute data correction actions and remediation loads in compliance with data governance standards and change management protocolsMonitor the ongoing adoption of global HR data standards across regions, business units, and functional teamsProactively detect and flag the re-introduction of local deviations, non-standard values, or workarounds that undermine global data consistencyIdentify and elevate risks to data consistency, AI readiness, and global reporting accuracy at the earliest possible stageSupport organizational cloning and data standardization initiatives through fact-based investigation, evidence gathering, and data profilingDesign, build, and maintain automated data validation routines and anomaly detection scripts to reduce reliance on manual data quality checksProduce clear, structured investigation outputs following a consistent framework: Issue -> Root Cause -> Risk -> RecommendationAbout You3–5 years of experience in data quality, data governance, HR data management, or a related analytical roleDemonstrated 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 findingsExperience working in a global, matrixed organization with cross-functional stakeholdersProficiency in data analysis tools such as Excel/Power Query, SQL, or equivalentExperience with Workday reporting, calculated fields, and data auditing capabilitiesFamiliarity with data remediation processes, including mass data loads and EIB (Enterprise Interface Builder) xhfqzwm or equivalentUnderstanding of HR data domains: employee records, organizational structures, compensation, payroll inputs, and workforce reportingExposure to AI/ML data readiness concepts and understanding of how data quality impacts model performanceExperience 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 purposesKnowledge of GDPR, data privacy regulations, and their implications for HR data managementStrong analytical and problem-solving skills, with the ability to decompose complex data issues and identify root causes with precisionStrong communication skills, with the ability to translate complex data findings into clear narratives for both technical teams and senior leadershipStrong interpersonal skills, with the ability to build effective working relationships across HR, Finance, Payroll, and ITDegree in Information Systems, Data Management, Human Resources, Business Administration, or a related field#J-18808-Ljbffr

ph3About The Job /h3 pThe 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. /p h3What You Do /h3 ul liImplement 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. /li liBuild 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. /li liResponsible 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. /li liReview 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. /li liWork alongside Data Modellers, MDM/RDM specialists, and IT component leads. Translate technical constraints and findings into clear inputs for planning and design discussions. /li liEnsure 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. /li liActively participate in sprint planning and delivery cycles — providing effort estimates, flagging technical dependencies, and keeping work moving within their delivery lane. /li /ul h3What You Bring /h3 ul liHands‑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. /li liPractical experience with modern lakehouse/warehouse platforms — Databricks, Azure Synapse, or equivalents. Understanding of partitioning, clustering, query optimisation. /li liDeep 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). /li liSolid 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. /li liStrong 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. /li liUnderstanding 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. /li liCI/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. /li liFamiliarity with Machine learning is a strong advantage. /li /ul h3What We Offer /h3 ul liWe 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. /li liWe 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). /li liFrom 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. /li liFlexible 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. /li /ul h3Commitment to Integrity, Fairness Inclusion /h3 pAllianz Group is one of the most trusted insurance and asset management companies in the world. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations. /p /p #J-18808-Ljbffr

ph3We Are Waiting for You /h3 pHi there! /p pI am bÁlvaro, /bthe recruiter for this position. Nice to meet you! /p pFirst, a little bit about what I like the most about working at bZurich Technology Delivery Center /b: 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 bZurich /b! /p pFirst 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. /p h3Who Are We? /h3 pLet me introduce us. You’re reading about bZurich Insurance Group /b, a global leader in insurance, but this role specifically pertains to our bTechnology Delivery Center (TDC). /b 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. /p pIn 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. /p pIf 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. /p h3Position Overview /h3 pThe 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). /p pThis 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. /p pThe 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). /p pThe 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. /p h3What Can You Expect? /h3 pAnd you might be thinking: This is great, what will my day‑to‑day be like, at TDC? I’m glad you asked. /p pAs an Enterprise Data Management Specialist you will have the opportunity to: /p ul libConfigure /b, automate, and manage data quality rules and monitoring frameworks within CDQ, using AI‑based anomaly detection and monitoring /li libUse /b AI to ensure accurate capture, validation, and maintenance of end‑to‑end data lineage, supporting impact analysis and regulatory transparency /li libDefine /b and implement data observability metrics (e.g., completeness, freshness, accuracy, reliability), including reporting and dashboarding, using AI tools to surface trends and insights /li libUse /b 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 /li libCollaborate /b with data stewards and business stakeholders to drive adoption of catalog and governance capabilities, including training users on AI‑assisted catalog features /li libManage /b platform access, including user roles, permissions, and service account lifecycle management (creation, credential governance, rotation, and compliance adherence) /li libDesign /b, configure, and optimize metadata ingestion processes using Informatica connectors, APIs, and custom integration patterns /li libExecute /b and maintain API/MCP‑based read and write operations to enable automated metadata ingestion, enrichment, and governance workflows /li libMonitor /b 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 /li libAct /b as a subject matter expert and second‑line support, coordinating with platform administrators and Informatica vendor support for complex incidents /li libUse /b AI to document standards, processes, and best practices to ensure scalability, consistency, and operational excellence /li /ul h3What Makes You a Great Fit? /h3 pWhile 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. bWe are waiting for you! /b /p ul liBachelor’s or master’s degree in Computer Science, Information Systems, Data Engineering, or a related field. /li liHands‑on expertise with Informatica IDMC, specifically MCC (Metadata Command Center), CDGC (Cloud Data Governance Catalog) and CDQ (Cloud Data Quality). /li liDeep understanding of metadata management and enterprise data cataloging, including metadata models, classifications, and glossaries and integration patterns for ingesting metadata from multiple sources. /li liData quality rule design and implementation. Data lineage, impact analysis, and governance frameworks. /li liExperience working with enterprise data platforms (e.g., data warehouses, ETL/ELT tools, cloud ecosystems). SQL skills and solid understanding of data structures. /li liExperience with API integration and automation (REST APIs, MCP frameworks). /li liKnowledge of authentication and authorization mechanisms (OAuth, JWT, Service principals). /li liPractical experience with Generative AI, ideally in coding and agentic workflows. Demonstrated ability to use AI tools to: /li liAutomate repetitive technical tasks (e.g., script generation, test creation, documentation drafts). /li liDesign and execute prompt strategies for LLMs to work safely with metadata and catalog content. /li liIntegrate AI‑based components into existing data governance workflows. /li /ul h3Technical AI‑related /h3 ul liExperience with additional data governance / catalog solutions (e.g., Collibra, Alation). /li liExposure to AI/ML‑based observability or monitoring tools for data platforms. /li liExperience with scripting or programming languages commonly used for automation (e.g., Python, PowerShell). /li liFamiliarity with cloud‑native data services in Azure and/or AWS, including security and compliance controls. /li liExperience designing or operating AI‑assisted self‑service data discovery capabilities for business users. /li /ul h3Behavioural and soft skills /h3 ul liProactive, results‑driven attitude with a commitment to continuous improvement. /li liExcellent analytical, troubleshooting, and problem‑solving capabilities. /li liGood communication, stakeholder management, and analytical skills. /li liFluency in English; additional languages are an advantage. /li /ul h3And... What Makes Us Special? /h3 pAs well as a bcompetitive salary /b and a byearly bonus /b, we offer: /p ul liTo support your work‑life balance, we have adopted a flexible working model. /li liOption to work abroad up to 25 days yearly. /li liOver 300 euros to set up your home office and additional monthly home office allowance. /li liWide range of internal and external trainings, including English, German and Spanish classes depending on the needs. /li liTicket restaurant and Health Insurance with the flexibility to exchange it for other benefits. /li liLife and accident insurance. /li liCollective Life retirement Plan /li li2000 referral bonus if you bring other talented people like you to the company. /li liSpecial banking and insurance conditions plus Exclusive Employees bdiscounts /b /li liFunctional diversity benefits /li liStock options and mortgage benefits. /li /ul h3Where Are We Located? /h3 pBarcelona, Poblenou. /p p#Li-hybrid /p pWe Are Waiting for You. /p pCan you see yourself in this role? Don’t wait any longer! bApply /b by sending your bCV in English /b. /p pIf 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. /p pAt 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. /p pbYou are the heart soul of Zurich! /b /p pAt 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? /p pWe 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. /p /p #J-18808-Ljbffr

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

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

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’s RD 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 RD mission is to deliver a new generation of tools for system‑level evaluation of wireless integrated communication systems toward society’s digital transformation. /p pIQU’s RD 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. /p h3Job Summary /h3 pWe 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 RD department. A candidate must hold a PhD 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, including the development of quantum networking architectures that combine quantum communication with classical networks. /li liDesign AI‑driven orchestration mechanisms for quantum networks and contribute to the design of the quantum internet protocol stack. /li liWork closely with cutting‑edge technology validated on in‑house experimental platforms. /li liEngage in challenging 5G/6G and IoT RD projects and represent the company at project meetings and research initiatives. /li liParticipate in the preparation of research funding proposals. /li liAttend scientific conferences and represent IQU at exhibitions such as Mobile World Congress Forum, IoT Solutions World Congress, and Smart Cities Expo. /li /ul h3Requirements /h3 pbBasic Qualifications: /b /p ul liOutstanding oral and written English skills. /li liGood knowledge of current technology trends related to quantum communication, network protocol design, 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 pbPreferred Qualifications: /b /p ul liExperience in EU‑funded projects (e.g., Horizon Europe, SNS JU, Quantum). /li liFamiliarity with 6G architectures and the integration of quantum technologies into future networks. /li liKnowledge of post‑quantum cryptography and hybrid security frameworks. /li liExperience in participating in international research funding projects. /li /ul h3Benefits /h3 ul liFull‑time contract with a probation period of 6 months; starting date flexible from September to October 2026. /li liOffice 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. /li liCompetitive salary ranging from €35,000 to €42,000, determined by qualifications and experience. /li /ul h3Application Process /h3 ul liSubmit a full CV, a list of publications, and the names (email addresses) of three referees. /li liProvide a cover letter stating motivation and suitability. /li /ul pSend all application documents in PDF format to . /p /p #J-18808-Ljbffr

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

h3Overview /h3pstrongAre you ready to drive PepsiCo’s digital evolution and accelerate transformation across our global operations? /strong /ppWith data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DAAI) 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 DAAI 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 DAAIProducts. And will support “pre-engagement” activities as requested and validated by the prioritization framework of DAAI. /ppThe strongData Governance Stewardship Senior Manager /strong 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. /ppThe 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. /ph3Responsibilities /h3pstrongYour day to day with us: /strong /pulliCreate governance policies, procedures and rules to reduce PepsiCo’s data related risks as it relates to collecting, storing, and using internal external data /liliResearch 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. /liliEnsure standards are applied by all the stakeholders. Prevent or resolve data definition conflicts by facilitating discussions across appropriate business units. /liliIdentify risks and controls related to enterprise data security changes /liliWork with Data Ecosystem team to create policies and standards for external data storage and usage and ensure adherence /liliProvide recommendations and supporting documentation for new or proposed data standards, business rules and policy (in conjunction with the Governance Council as appropriate). /liliSource 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. /liliCoordinate 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. /liliAccountable for ensuring that data-centric activities are aligned with the DG program and leverage applicable data standards, governance processes, and overall best practices. /li /ulh3Qualifications /h3pstrongWhat will you need to succeed? /strong /pulli8+ years of experience working in Data Governance or Data Security and Compliance within a global organization (CPG or Financial institution) /lili8+ years of experience working with data, data maintenance, associated elements/processes, involved systems and interdependent data /liliStrong data management background with understanding of data collection, storage, usage, how to create policies and use technology to automate compliance risks. /liliUnderstanding of legal risk and remediation efforts in data compliance /liliFunctional experience with data governance implementation using Informatica, Collibra, Erwin, IBM IGC or similar leading metadata management and data quality management tools is required. /liliAbility 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 /liliStrong knowledge and understanding regulations for acquiring, storing, and using data /liliAbility to understand and measure legal ramifications of data compliance gaps /liliStrong Communication Skills/Able to Persuade/Influence Others at all Organization Levels and the ability foster lasting partnerships /liliAbility 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 design /li /ulh3What makes us different? /h3ulliHybrid work model: combination of remote and collaborative office experience to enable innovation /liliEntrepreneurial environment in leading international company /liliProfessional growth possibilities learning opportunities /liliVariety of benefits to support your physical, emotional and financial wellbeing /liliVolunteering opportunities to help external communities /li /ulh3About PepsiCo /h3pWe 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.br/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.br/So, if you’re ready to be a part of a playground for those who think big, we’d love to chat. /pp*We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability. /pp#LI-Hybridbr/#Locations: Barcelona, Spain; Vitoria-Gasteiz, Spain /p #J-18808-Ljbffr

ph3Position Overview /h3pThe 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. /ph3Responsibilities /h3ulliConfigure, automate, and manage data quality rules and monitoring frameworks within CDQ, using AI-based anomaly detection. /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 (e.g., completeness, freshness, accuracy, reliability) and report through dashboards using AI tools. /liliUse 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. /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, including user roles, permissions, and service account lifecycle management (creation, credential governance, rotation, and compliance adherence). /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. /liliUse AI to document standards, processes, and best practices 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 expertise with Informatica IDMC, specifically MCC, CDGC, and CDQ. /liliDeep understanding of metadata management and enterprise data cataloging, including metadata models, classifications, and glossaries. /liliExperience designing and implementing data quality rules, data lineage, impact analysis, and governance frameworks. /liliExperience with enterprise data platforms (e.g., 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, including coding and agentic workflows, and ability to use AI tools to automate repetitive technical tasks. /li /ulh3Preferred Skills Competencies /h3h3Technical AI-related /h3ulliExperience with additional data governance/catalog solutions (e.g., Collibra, Alation). /liliExposure to AI/ML-based observability or monitoring tools for data platforms. /liliExperience with scripting or programming languages commonly used for automation (e.g., 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. /liliGood communication, stakeholder management, and analytical skills. /liliFluency in English; additional languages are an advantage. /li /ulh3Benefits /h3ulliCompetitive salary and yearly bonus. /liliFlexible working model to support work‑life balance. /liliOption to work abroad up to 25 days yearly. /liliOver 300 euros to set up a home office and additional monthly home‑office allowance. /liliWide range of internal and external trainings, including English, German and Spanish classes. /liliTicket restaurant and health insurance with flexible exchange options. /liliLife and accident insurance. /liliCollective life retirement plan. /liliReferral bonus of 2000 euros for each successful hire. /liliSpecial banking and insurance conditions plus exclusive employee discounts. /liliFunctional diversity benefits. /liliStock options and mortgage benefits. /li /ulh3Location /h3pBarcelona, Poblenou (ES). /ph3Equal Opportunity Statement /h3pAt 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. /p /p #J-18808-Ljbffr

ppLocation: Barcelona, Spain /p pAre 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. /p pWe 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? /p h3Main Responsibilities /h3 ul liAssess and document the downstream impact of data quality issues across payroll processing, management reporting, third-party integrations, and AI/machine learning model inputs /li liConduct structured root cause analyses to distinguish between isolated data errors and systemic issues requiring process or configuration-level intervention /li liPartner 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 /li liServe as a bridge between data operations and technical teams, translating business data quality requirements into actionable technical specifications /li liPrepare, validate, and execute data correction actions and remediation loads in compliance with data governance standards and change management protocols /li liMonitor the ongoing adoption of global HR data standards across regions, business units, and functional teams /li liProactively detect and flag the re-introduction of local deviations, non-standard values, or workarounds that undermine global data consistency /li liIdentify and elevate risks to data consistency, AI readiness, and global reporting accuracy at the earliest possible stage /li liSupport organizational cloning and data standardization initiatives through fact-based investigation, evidence gathering, and data profiling /li liDesign, build, and maintain automated data validation routines and anomaly detection scripts to reduce reliance on manual data quality checks /li liProduce clear, structured investigation outputs following a consistent framework: Issue - Root Cause - Risk - Recommendation /li /ul h3About You /h3 ul li3–5 years of experience in data quality, data governance, HR data management, or a related analytical role /li liDemonstrated experience working with Workday HCM or comparable enterprise HR platforms (Workday certification or formal training highly valued) /li liProven track record of conducting data investigations and delivering structured, actionable findings /li liExperience working in a global, matrixed organization with cross-functional stakeholders /li liProficiency in data analysis tools such as Excel/Power Query, SQL, or equivalent /li liExperience with Workday reporting, calculated fields, and data auditing capabilities /li liFamiliarity with data remediation processes, including mass data loads and EIB (Enterprise Interface Builder) or equivalent /li liUnderstanding of HR data domains: employee records, organizational structures, compensation, payroll inputs, and workforce reporting /li liExposure to AI/ML data readiness concepts and understanding of how data quality impacts model performance /li liExperience with data quality platforms or monitoring tools (e.g., Informatica, Collibra, Ataccama, or similar) /li liExperience with scripting or automation (e.g., Python, Power Automate, or equivalent) for data validation purposes /li liKnowledge of GDPR, data privacy regulations, and their implications for HR data management /li liStrong analytical and problem-solving skills, with the ability to decompose complex data issues and identify root causes with precision /li liStrong communication skills, with the ability to translate complex data findings into clear narratives for both technical teams and senior leadership /liliStrong interpersonal skills, with the ability to build effective working relationships across HR, Finance, Payroll, and IT /li liDegree in Information Systems, Data Management, Human Resources, Business Administration, or a related field /li /ul /p #J-18808-Ljbffr

About the role 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, Big Query). 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 Dev Ops/Data Ops 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, Big Query, 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. 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

ppAbout the role /ph3Responsibilities /h3pThe 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. /pulliDesign, build, and optimize data pipelines for structured and unstructured data. /liliDevelop and maintain ETL/ELT processes to integrate data from multiple sources (SAP, Salesforce, APIs, flat files, cloud platforms, etc.). /liliEnsure data quality, consistency, and governance across the data lifecycle. /liliImplement and manage data models, warehouses, and lakehouse solutions (e.g., Snowflake, Databricks, Redshift, BigQuery). /liliCollaborate with stakeholders to translate business requirements into technical solutions. /liliMonitor and improve data pipelines for scalability, performance, and cost efficiency. /liliEnsure compliance with data security, privacy, and governance standards (GDPR, HIPAA, etc.). /liliAutomate repetitive data engineering tasks and adopt DevOps/DataOps best practices. /liliWork closely with cloud platforms (AWS, Azure, GCP) and modern data stack tools. /li /ulh3Qualifications /h3ulliBachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or related discipline. /liliOver 6 or more years of hands‑on experience in data engineering, data integration, or related fields. /liliProven experience in designing and implementing data pipelines, data models, and data platforms. /liliStrong exposure to consulting client‑facing roles, working with cross‑functional stakeholders. /liliExperience with enterprise systems (SAP, Salesforce, ERP, CRM) and complex data migration projects. /liliStrong proficiency in SQL, Python, and/or Scala/Java for data engineering and automation. /liliDeep expertise with ETL/ELT tools (Informatica, SAP Data Services, Talend, dbt, Azure Data Factory). /liliStrong knowledge of data warehouse and lakehouse architectures (Snowflake, Databricks, BigQuery, Redshift, Synapse). /liliExperience with big data frameworks (Apache Spark, Kafka, Hadoop). /liliFamiliarity with data governance, lineage, and cataloging tools (Collibra, Alation, Purview). /liliKnowledge of Master Data Management (MDM/MDG). /liliPractical expertise with cloud platforms and their native data services. /liliIndustry experience in regulated sectors (Pharma, Healthcare, Finance, or Manufacturing) is an advantage. /liliStrong communication and presentation abilities, with the capability to simplify technical solutions for business leaders. /li /ulh3Why Join Us? /h3pAt 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. /ppWhen 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. 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. /p /p #J-18808-Ljbffr

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

ppVeeva 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. /p pAt 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. /p pAs a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. /p pJoin us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. /p h3The Role /h3 pVeeva 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. /p pOur solutions enable faster go‑to‑market and more informed customer engagement across the commercial landscape. /p pAs 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. /p pYou 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. /p bWhat You’ll Do /b ul liDesign and deliver MDM architectures using Veeva Network, covering data modeling, integration, governance, and data quality /li liOwn project delivery for enterprise clients, from initial scoping through deployment and post‑go‑live support /li liCollaborate with business and technical stakeholders to capture requirements and translate them into scalable solutions /li liCreate detailed technical documentation, including data models, architecture diagrams, and integration specifications /li liProvide technical leadership and mentorship to internal teams and implementation partners /li liSupport change management activities to drive adoption of MDM best practices /li liBuild and maintain trusted relationships with customer stakeholders /li liContribute to internal initiatives to continuously improve service quality and delivery frameworks /li /ul bRequirements /b ul li5+ years of experience in MDM, data integration, and data governance within complex enterprise environments /li liStrong consulting background with proven ability to architect and implement MDM solutions /li liHands‑on experience with platforms such as Veeva Network, Informatica MDM, Reltio, or similar /li liDeep expertise in data modeling, data quality, integration technologies (SOAP/REST), and governance methodologies /li liFamiliarity with CRM ecosystems and enterprise data domains (e.g., customer, HCP/HCO, product) /li liExcellent verbal and written communication skills in English, with the ability to engage both technical and business audiences /li liAbility to work independently in a fully remote environment across multiple assignments /li liWillingness to travel as needed /li /ul bNice to Have /b ul liExperience working in the Pharmaceutical, Biotech, or Consumer Health sectors /li liFamiliarity with OpenData and integration of third‑party reference data /li liCertification from a CRM or MDM software vendor /li liHands‑on experience with data warehousing concepts, SQL, ETL tools, or web services technologies /li liExposure to integration frameworks, user authentication methods, or batch data processes /li liAdditional European language(s) /li /ul bPerks Benefits /b ul liAnnual allocations for charitable contributions /li liFitness reimbursement /li liWork anywhere /li /ul bCompensation /b ul liTotal compensation: 50,000 - 85,000 EUR /li liThe 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. /li /ul pVeeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. /p pAs 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. /p pIf 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 /p /p #J-18808-Ljbffr

Join to apply for theIT Business Analystrole atInetum3 days ago Be among the first 25 applicantsJoin to apply for theIT Business Analystrole atInetumGet AI-powered advice on this job and more exclusive features.MissionEstamos 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 PrincipalesFamiliarizarse 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.PerfilRequisitos MínimosExperiencia mínima de 3 años en soporte de aplicaciones empresariales.Nivel alto de inglés (C1)Conocimientos básicos de scripting (e.G., Python, Power Shell).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 DeseablesExperiencia 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 ntrato indefinido y estabilidad.Retribución flexible y más beneficiosFlexibilidad 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 tecnologíanizaciónSobre 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 levelSeniority level Mid-Senior levelEmployment typeEmployment type Full-timeJob functionJob function Information TechnologyIndustries IT Services and IT ConsultingReferrals increase your chances of interviewing at Inetum by 2xGet notified about new Information Technology Business Analyst jobs inBarcelona, Catalonia, Spain.Greater Barcelona Metropolitan Area 13 hours agoBusiness Analyst (Reporting & Analytics)IT Business Analyst (Hybrid working model in Barcelona)Greater Barcelona Metropolitan Area 13 hours agoBusiness 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. 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.

pJoin to apply for the strongIT Business Analyst /strong role at strongInetum /strong /pp3 days ago Be among the first 25 applicants /ppJoin to apply for the strongIT Business Analyst /strong role at strongInetum /strong /ppGet AI-powered advice on this job and more exclusive features. /ppstrongMissionbr/strongEstamos 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.brstrongFunciones Principalesbr/strongulliFamiliarizarse con las aplicaciones empresariales relevantes para el puesto. /liliSolucionar problemas relacionados con las aplicaciones. /liliConfigurar y mantener aplicaciones. /liliAplicar ITIL u otros marcos de gestión de servicios de TI. /liliImplementar y adherirse a las mejores prácticas de ciberseguridad. /liliComunicarse verbalmente y por escrito de manera efectiva. /liliProporcionar servicio al cliente y explicar problemas técnicos a los usuarios. /liliCapacitar a los usuarios y crear materiales de capacitación. /liliDocumentar y mantener registros precisos. /liliTrabajar eficazmente en equipo y de forma independiente. /liliResolver problemas y solucionar incidencias.brbr/li /ulstrongPerfilbr/strongstrongRequisitos Mínimosbr/strongulliExperiencia mínima de 3 años en soporte de aplicaciones empresariales. /liliNivel alto de inglés (C1) /liliConocimientos básicos de scripting (e.g., Python, PowerShell). /liliConocimientos básicos de análisis de datos y reporting. /liliConocimientos básicos de testing y control de calidad (QA). /liliConocimientos básicos de gestión de bases de datos. /liliOrientación al cliente. /liliComprensión de los procesos empresariales. /liliGestión del tiempo y priorización. /liliAdaptabilidad y agilidad de aprendizaje. /liliConocimientos de integración de sistemas.brbr/li /ulstrongRequisitos Deseablesbr/strongulliExperiencia de al menos 4 años en soporte de aplicaciones empresariales. /liliCertificación Scrum Master (PSM I). /liliCertificación ITIL.brbr/li /ulstrong¿Qué ofrecemos?br/strong Programa de formación por parte de la empresa para que puedas seguir desarrollándote y promocionar dentro del plan de carrera que existe para ti.brContrato indefinido y estabilidad.brRetribución flexible y más beneficiosbrFlexibilidad horaria.brModalidad de teletrabajo híbrida.brTe ofrecemos un entorno dinámico, en el que tu plan de carrera y crecimiento será nuestro objetivo.brBuen ambiente de trabajo, abiertos e inclusivos.br️ Formarás parte de un gran equipo de profesionales con inquietud y motivación por la tecnología.brstrongOrganizaciónbr/strongSobre Inetum,bremInetum 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.br/ememPresente 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.br/emem Top Employer Europe 2025 /em /ph3Seniority level /h3ullih3Seniority level /h3Mid-Senior level /li /ulh3Employment type /h3ullih3Employment type /h3Full-time /li /ulh3Job function /h3ullih3Job function /h3Information Technology /lilih3Industries /h3IT Services and IT Consulting /li /ulpReferrals increase your chances of interviewing at Inetum by 2x /ppGet notified about new Information Technology Business Analyst jobs in strongBarcelona, Catalonia, Spain /strong. /ppGreater Barcelona Metropolitan Area 13 hours ago /ph3Business Analyst (Reporting Analytics) /h3h3IT Business Analyst (Hybrid working model in Barcelona) /h3pGreater Barcelona Metropolitan Area 13 hours ago /ph3Business Analyst - ITSM Knowledge Manager (m/f/d) /h3h3Technical Business Analyst – MDM Governance (Informatica SME) /h3h3Business Analyst, Translation Services Operations /h3h3Snr Specialist, IT Business Analyst, Technical Design (Regulatory Affairs) /h3h3PRODUCT OWNERS Y BUSINESS ANALYST. ONSITE 80%. BARCELONA (ID) /h3h3Associate Director, Business Analyst, DDIT Dev., Technical Research Development (TRD) /h3h3Business Analyst IAM Compliance Audit Specialist (m/f/d) /h3h3Assoc. Director, Business Analyst, Technical Research Development (TRD) /h3pWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. /p #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 datosDefinir 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.RequisitosTienes 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 equiposbr#J-18808-Ljbffr

ppbJob Description Summary /b /p pUna 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”.br/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. /p pActualmente 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: /p ul liDefinir y desplegar una estrategia de datos corporativa. /li liDefinir y/o adaptar frameworks de Gobierno del Dato basados en estándares internacionales (DAMA, DCAM, …). /li liDar soporte a Chief Data Officers (CDO) o Head of Data (HoD) en el cumplimiento de su mandato. /li liDefinir roles y responsabilidades relacionados con el dato (data owner, steward, architect, …). /li liAlinear aspectos de la gestión y del gobierno de los datos con áreas de negocio, IT, seguridad y privacidad corporativas. /li liDefinir e implantar modelos para la gestión de la Calidad del Dato, Metadatos, Seguridad y Privacidad del dato. /li liDefinir e implantar iniciativas de gestión del cambio y de cultura de datos /li liDefinir políticas, procedimientos y estándares de gobierno del dato. /li liAsesorar y/o operar herramientas de soporte como por ejemplo Collibra, Purview, Informatica (IDQ/EDC/Axon), IBM InfoSphere o Alation. /li /ul h3bRequisitos /b /h3 ul liTienes un background en el ámbito IT (ingeniería informática, ingeniería de telecomunicaciones, ingeniería industrial, matemáticas) o de negocio (ADE). /li liTienes entre 2 y 5 años de experiencia en los aspectos detallados anteriormente. /li liTe comunicas y presentas resultados de manera eficaz en inglés y castellano. /li liEres una persona abierta, proactiva y comprometida con la ambición de crecer profesionalmente. /li liSe valorará tener experiencia gestionando equipos /li /ul /p #J-18808-Ljbffr

ppWhen you order items on Amazon, there are practically thousands of ways we can fulfill that order. Which Fulfillment Center do we ship from, what carriers do we use, what boxes do we combine items in — now scale that question to billions of items shipped annually worldwide. At Amazon's Supply Chain Optimization Technologies (SCOT), we are tasked with fulfilling every customer order in the most intelligent way possible while ensuring on‑time delivery. /p pWithin SCOT, the Fulfillment Optimization organization owns the artificial intelligence, optimization, and simulation systems that decide how Amazon's outbound network is planned and operated. Our team is a new horizontal team responsible for the data foundations that power every Fulfillment Optimization product—from long‑range planning to day‑of execution. Our customers are Applied Scientists, Business Intelligence Engineers, Data Scientists and Software Development Engineers building those products, and leaders who depend on trustworthy data to make multi‑billion‑dollar planning decisions. /p h3Key job responsibilities /h3 ul liBuild and optimize physical data models and ETL pipelines for datasets that serve our products and analytics, using Amazon's data platforms (Redshift, EMR, Spark, S3, Hive, etc.). /li liTake well‑defined requirements from Data Scientists, Business Intelligence Engineers, and Software Development Engineers, and deliver tested, documented, and maintainable data solutions on schedule. /li liTroubleshoot, root‑cause and resolve issues in existing datasets and pipelines, leaving them better and easier to maintain than you found them. /li liMeasure and improve dataset quality—completeness, freshness, correctness—and contribute to the team's monitoring and SLA framework. /li liWrite secure, stable, testable and well‑documented code in SQL and Python (or Scala), and submit it for code review. /li liClassify, store and handle data in accordance with Amazon's security and privacy policies. /li liParticipate in team design, scoping and prioritization discussions to learn the business context behind the team's data architecture and the products it supports. /li liCollaborate with peers across Fulfillment Optimization and partner teams to integrate data sources and unblock downstream consumers. /li /ul h3A day in the life /h3 pYou will spend your day writing SQL and Python, designing tables and pipelines, reviewing teammates' code and pairing with data scientists and engineers to understand their data needs. You will start with well‑scoped pieces of work—a new dataset, an optimization to an existing pipeline, or an investigation into a data quality issue—and grow your scope as you build context. You will be supported by a team that values mentorship, code review and clear documentation. /p h3About the team /h3 pThe Fulfillment Optimization organization owns and operates the artificial intelligence, optimization and simulation systems that plan and run Amazon's outbound fulfillment network. The organization spans the United States and Europe and is multi‑disciplinary—including Research Science, Applied Science, Business Intelligence, Product Management, Data Engineering and Software Development. Our team is a newly formed horizontal team responsible for the data foundations that all Fulfillment Optimization products and analytics depend on. Come join us as we build that foundation from the ground up. /p h3Basic qualifications /h3 ul liExperience in data engineering. /li liExperience with data modeling, warehousing and building ETL pipelines. /li liExperience with one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala). /li liExperience with one or more scripting languages (e.g., Python, KornShell). /li /ul h3Preferred qualifications /h3 ul liExperience with big data technologies such as Hadoop, Hive, Spark, EMR. /li liExperience with any ETL tool such as Informatica, ODI, SSIS, BODI, Datastage. /li /ul h3Equal opportunity /h3 pAmazon is an equal‑opportunity 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. /p h3Inclusion accommodations /h3 pOur 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 application and hiring, including support for the interview or onboarding process, please visit the accommodations page. If the country/region you are applying in isn’t listed, please contact your recruiting partner. /p /p #J-18808-Ljbffr

ph3About the Job /h3 pThe 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. /p pThe 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. /p h3What You Do /h3 ul liDefine 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. /li liDesign 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. /li liAccountable for data quality at the pipeline level — defining checks, monitoring and resolving data issues before they propagate downstream. /li liGuide junior/mid engineers, set the bar for code quality, and conduct reviews. A key multiplier for team capability. /li liWork closely with Data Modellers, MDM/RDM specialists, Data Architects, and IT component leads. Bridge the gap between technical implementation and business intent. /li liEnsure pipelines meet data governance requirements (lineage, classification, access controls) and support gate processes where relevant. /li liAct as a technical proxy in planning sessions, helping size effort, flag dependencies and unblock the team during sprint/delivery cycles. /li /ul h3What You Bring /h3 ul liHands‑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. /li liDeep 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). /li liSolid 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. /li liExperience implementing DQ rules, profiling, and monitoring — ideally with tools like Acceldata, Great Expectations, or Monte Carlo. /li liUnderstanding 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. /li liCI/CD for data pipelines (GitHub Actions, Azure DevOps), version control discipline, infrastructure‑as‑code basics (Terraform), and containerisation (Docker/Kubernetes awareness). /li liAble 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. /li liFamiliarity with Machine learning is a strong advantage. /li /ul h3What We Offer /h3 ul liHybrid work model enabling up to 25 days per year working from abroad. /li liCompensation and benefits package that includes a company bonus scheme, pension, employee shares program and various discounts (details vary by location). /li liCareer development and digital learning programs, international career mobility, and an environment fostering innovation, delivery and empowerment. /li liFlexible working, health and wellbeing offers (including healthcare and parental leave benefits) to support family and career balance and help employees return from career breaks. /li /ul h3Equal Opportunity Employer /h3 pAllianz Group is one of the most trusted insurance and asset management companies in the world. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in. We 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

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! We are looking for a Data Steward to validate that mandatory product data across core systems is complete and accurate, upload product data into the PIM system, and resolve data gaps with stakeholders. You will support business teams with product data usage issues, clarify and communicate data requirements, track product data and launch status, and reconfigure and maintain syndication templates in inRiver. • Validate that mandatory product data across core systems is complete and accurate;, • Upload product data into the PIM system and resolve data gaps with stakeholders;, • Support business teams with product data usage issues;, • Clarify and communicate data requirements to stakeholders to ensure accuracy aligned with product launch timelines;, • Create, track, and report on product data and launch status;, • Reconfigure and maintain syndication templates in inRiver., • 3+ years of experience in data management principles and concepts;, • Understanding of data lifecycle;, • Ability to use multiple tools for data 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 pressure and meet deadlines;, • Strong communication skills with business and technical stakeholders;, • Fluent written and spoken English., • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps., • Competitive compensation: Competitive USD-based compensation and budgets for education, fitness, and team activities., • Exciting projects: Modern solutions with Fortune 500 and top product companies., • Flextime: Flexible schedule with remote and office options. #J-18808-Ljbffr

p h3Scientific Knowledge Engineer, Ontology Data Modeling /h3 pThis 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 RD 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. /p h3Key Responsibilities /h3 ul liDefinition 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. /li liAccountable 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. /li liWorking 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. /li liCollaborate with external groups to align data standards with industry/academic ontologies ensuring that data standards are defined with usage/analytics in mind. /li liProvide bespoke subject‑matter expertise for RD data to translate deep science into data for actionable insights. /li liContribute to and maintain documentation of data standards, ontology decisions, and mapping rationale to support organizational knowledge transfer and auditability. /li /ul h3Basic Qualifications /h3 ul liMasters degree in Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science (with a life science application focus). /li li6+ years of relevant work experience. /li liSpecific experience contributing to Knowledge Graph development efforts, including entity modeling, relationship design, and schema governance. /li liHands‑on experience with open‑source ontology tools and languages: Protégé, SPARQL, OWL, SKOS, SHACL, RML, RDF/Turtle. /li liWorking knowledge of major life sciences ontologies: Gene Ontology (GO), OBO Foundry ontologies (CL, UBERON, HPO, MONDO, CHEBI, EFO, CLO), MeSH, SNOMED CT, UMLS. /li liFamiliarity with linked data principles and semantic web technologies. /li liExperience with industry‑standard tools for building data serialization protocols (e.g., JSON Schema, LinkML). /li liProficiency in at least one programming language – preferably Python – for scripting vocabulary mappings, building data models, automating QC, and prototyping pipelines. /li /ul h3Preferred Qualifications /h3 ul liExperience with data governance and data quality tooling (e.g., Ataccama, Informatica, Talend, OpenRefine, Great Expectations, dbt). /li liExperience with at least one programming language – e.g., Python – for scripting vocabulary mappings, building data models, etc. /li liExperience supporting LLM integration or AI‑readiness workflows – including metadata enrichment, entity linking, embedding pipelines, or retrieval‑augmented generation (RAG) architectures. /li liUnderstanding of vector databases and their role in semantic search and knowledge retrieval (e.g., Weaviate, Chroma). /li liFamiliarity with cloud data platforms and infrastructure relevant to large‑scale biological data (e.g., AWS, GCP, Azure). /li liFamiliarity with graph database technologies (e.g., Neo4j, Amazon Neptune, Stardog, GraphDB, TigerGraph). /li /ul h3Equality, Diversity, and Inclusion /h3 pWe welcome all individuals and evaluate solely on the quality of their work and teamwork. /p /p #J-18808-Ljbffr

Overview¿Te gustaría llevar tu expertise en datos al siguiente nivel?EnSDG Groupsomos líderes globales en Big Data, Business Intelligence, Analytics e Inteligencia Artificial. Desde 1994 hemos acompañado a la mitad delIBEX-35 y a algunas de las compañías más destacadas a nivel internacionalen su transformación digital, convirtiendo los datos en soluciones de alto impacto gracias a nuestrasalianzas estratégicascon Microsoft, Google y AWS, y a los mejores aceleradores tecnológicos del mercado.Nuestro equipo deData Technologieses el epicentro donde aterrizan proyectos desafiantes y las soluciones más disruptivas. Trabajamos de forma transversal con clientes de múltiples sectores, siempre a la vanguardia tecnológica, combinandoinnovación, expertise y autonomía real.Diseñamos arquitecturas que marcan estándares y creamos aceleradores que transforman. No solo se ejecutan proyectos, sino que sedesarrollanaceleradores, artefactos y pruebas de concepto. Aquí defines, experimentas y tienes ownership para diseñar solucionesdesde cero.¿Cómo será tu día a día?Desarrollarás y optimizarásprocesos de ETL y ELT dirigidos por metadatos, utilizando herramientas como dbt, Informatica o Talend. Convertirás grandes volúmenes de datos brutos en estructuras analíticas para decisiones de negocio dentro dedata warehousescomo Snowflake, Big Query o Redshift.Definirás arquitecturas y flujos de datos,aportando una visión técnicaque garantice soluciones alineadas con las necesidades del negocio, aplicando enfoques de modelado y arquitectura comoKimball, Data Vault, medallion architecture, Data Mesh o soluciones Lakehousesegún el contexto y los objetivos del ntribuirás a lacreación de frameworks, patrones reutilizables y aceleradores de datosque se usarán en múltiples proyectos.Explorarás las últimas novedades como Microsoft Fabric, Apache Iceberg, DLT, arquitecturas Data Lakehouse o implementaciones de Data Mesh, evaluandotendencias emergentesy aportando ideas innovadoras que mantengan a nuestros proyectos a la vanguardia tecnológica.Actuarás comoreferente dentro del equipo y de los proyectoscompartiendo buenas prácticas, revisando diseños y contribuyendo a elevar el nivel técnico del equipo sin necesidad de asumir un rol exclusivamente de gestiónFormaciónen Ingeniería Informática, Telecomunicaciones, matemáticas, Física, o similares.A partir de 6 años como Data Engineer desarrollando soluciones de ingesta y transformación de datos en entornos on-premise o cloud.Experiencia en arquitectura y modelado de Data Warehouses, tanto modernos como tradicionales (Oracle, Teradata, Snowflake), con experiencia en estructuras, particionado y ciclo de vida del dato, aplicando metodologías comoKimball, Inmon o Data Vault 2.0para pipelines escalables y mantenibles.Herramientas de integración y orquestación. Dominio de herramientas modernas como dbt y dlt, o tradicionales como Talend e Informatica, junto con experiencia en Apache Airflow, Azure Data Factory o equivalentes.Buenas prácticas de ingeniería. Gestión del código con control de versiones, CI/CD y metodologías ágiles.Que puedas comunicarte eningléspara trabajar en entornos globales y colaborar con equipos internacionales.Valoramos también:Visión moderna de datos y experiencia en consultoría. Familiaridad con Data Ops, Data Observability, Data Mesh o Data Quality, idealmente trabajando con múltiples clientes y sectores.Plataformas avanzadas y automatización. Conocimiento en Databricks, Microsoft Fabric, AWS Glue, Dataflow o Dataproc.Experiencia en IA, ML pipelines y/o MLOps acelerando la explotación de datos analíticos y predictivos.Aquí no somos una empresa más... ¡somos un equipo que va a por todas!Tecnología e innovación sin límites. La tecnología y los datos son nuestra esencia. Trabajamos con lo más avanzado del mercado y te formamos para que domines las herramientas que están redefiniendo la industria. Tendrás acceso a las últimas plataformas y tecnologías: si algo es nuevo, lo estamos usando o evaluando.Desarrollo profesional a tu medida. Aquí no hay carreras rígidas ni caminos predefinidos: cada cierto tiempo se revisan tus logros y se definen nuevos objetivos. Podrás evolucionar hacia roles de arquitectura, tech lead, referente tecnológico o especialista en dominios complejos, manteniendo siempre un impacto directo en la tecnología y en las decisiones clave de los proyectos.Un equipo que te acompaña desde el primer día. Desde el minuto 1 formas parte del equipo de Data Technologies, formado por numerosos referentes donde la colaboración es el pilar fundamental.Propósito y valores que nos definen. Creemos firmemente en la diversidad y la inclusión como motores esenciales de la creatividad y la innovación. Es lo que nos permite superar cualquier desafío y construir un entorno donde cada perspectiva enriquece el resultado final.Y, por si fuera poco…Contrato indefinido (¡queremos que te quedes mucho tiempo!)Flexibilidad total.Remoto 100%, híbrido u oficina. Tú decides dónde y cómo trabajas mejor.Jornada intensiva en julio y agosto, además de los viernes.Salariosegún tu formación y experiencia, con revisiones basadas en resultados.Apoyo económico para el teletrabajo.Acceso a formaciones, certificaciones oficiales, conferencias y cursos.Si te apasionan los datos, quieres trabajar con tecnología de última generación, y buscas un lugar donde tu crecimiento no tenga límites... ¡ Este es tu momento!Mientras tanto, entérate de más: de Datos – Data Reconciliation | 100% RemotoLas Palmas de Gran Canaria, Canary Islands, Spain 6 days ago

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. /p h3WHY JOIN US /h3 pIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! /p h3ABOUT THE ROLE /h3 pAs a bData Steward /b, 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. /p h3WHAT YOU WILL DO /h3 ul liValidate product data across core systems to ensure completeness and accuracy. /li liUpload product data into PIM systems and resolve data gaps with stakeholders. /li liSupport business teams with product data issues across channels. /li liCommunicate data requirements to stakeholders to ensure data quality aligned with product launch timelines. /li liCreate, track, and report on product data and launch status. /li liMaintain and reconfigure syndication templates in inRiver. /li /ul h3MUST HAVES /h3 ul li3+ years of experience in data management. /li liUnderstanding of data lifecycle. /li liExperience using multiple tools for data management and stewardship. /li liExperience with inRiver or PIM tools (Salsify, Informatica, Akeneo). /li liExperience with PIM syndication for retailers or marketplaces. /li liProficiency in Excel. /li liAbility to work under tight deadlines. /li /ul h3PERKS AND BENEFITS /h3 ul liProfessional growth: Mentorship, TechTalks, and personalized growth roadmaps. /li liCompetitive compensation: USD‑based pay with education, fitness, and team activity budgets. /li liExciting projects: Modern solutions with Fortune 500 and top product companies. /li liFlextime: Flexible schedule with remote and office options. /li /ul /p #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. /p h3WHY JOIN US /h3 pIf you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you! /p h3ABOUT THE ROLE /h3 pAs a bData Steward /b, 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. /p h3WHAT YOU WILL DO /h3 ul liValidate product data across core systems to ensure completeness and accuracy. /li liUpload product data into PIM systems and resolve data gaps with stakeholders. /li liSupport business teams with product data issues across channels. /li liCommunicate data requirements to stakeholders to ensure data quality aligned with product launch timelines. /li liCreate, track, and report on product data and launch status. /li liMaintain and reconfigure syndication templates in inRiver. /li /ul h3MUST HAVES /h3 ul li3+ years of experience in data management. /li liUnderstanding of data lifecycle. /li liExperience using multiple tools for data management and stewardship. /li liExperience with inRiver or PIM tools (Salsify, Informatica, Akeneo). /li liExperience with PIM syndication for retailers or marketplaces. /li liProficiency in Excel. /li liAbility to work under tight deadlines. /li liStrong communication skills. /li liFluent English level. /li /ul h3PERKS AND BENEFITS /h3 ul liProfessional growth: Mentorship, TechTalks, and personalized growth roadmaps. /li liCompetitive compensation: USD-based pay with education, fitness, and team activity budgets. /li liExciting projects: Modern solutions with Fortune 500 and top product companies. /li liFlextime: Flexible schedule with remote and office options. /li /ul /p #J-18808-Ljbffr

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

L busca un/a TÉCNICA ADMINISTRATIVA para apoyar la gestión del departamento I+D en Barcelona.El puesto implica gestionar tareas administrativas diarias, coordinar con equipos técnicos, y supervisar la documentación interna.Los candidatos deben tener una formación universitaria, un nivel de ingl

EMPRESA: IQUADRAT INFORMATIC SL- DEPARTAMENTO I+D.UBICACIÓN: BARCELONA CENTRO (GRAN DE GRACIA).HORARIO: LUNES A VIERNES DE 9-17:30H.Descripción completa del empleo.Buscamos un/a TÉCNICA ADMINISTRATIVA para dar apoyo a la GESTIÓN DEL DEPARTAMENTO I+D.En IQUADRAT, te incorporarás a un equipo jove

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.

IQUADRAT INFORMATICA SL busca 3 Fullstack Developers para incorporarse a su equipo de desarrollo.Modelo híbrido con teletrabajo mayoritario.El día a día se desarrolla principalmente en remoto.Desarrollo fullstack de aplicaciones y plataformas tecnológicas.Participación en proyectos de I+D+i con

IQUADRAT INFORMATICA SL busca 3 desarrolladores Fullstack para unirse al equipo de desarrollo.

IQUADRAT INFORMATIC SL en Barcelona centro busca un/a Administrativo/a para gestionar tareas de oficina y soporte al Departamento I+D.Se ofrece contrato indefinido y horario de lunes a viernes, de 9:00 a 17:30, con 30 minutos para comer, en oficina presencial.Requisitos: formación ADE o similar, in

EMPRESA: IQUADRAT INFORMATIC SL - DEPARTAMENTO I+D - UBICACIÓN: BARCELONA CENTRO (GRAN DE GRACIA) - CONTRATO INDEFINIDO - HORARIO: LUNES A VIERNES DE 9-17:30H.Gestionar apertura y cierre de la oficina de LUNES A VIERNES DE 9:00H-17:30H.Dar soporte en la gestión del personal.Compras de viajes del d

TRC busca instaladores/as de cableado estructurado, fibra óptica y electricidad en baja y media tensión en Barcelona.Se valoran conocimientos informáticos y experiencia en configuración de switches y redes de datos.Ofrecemos incorporación a un equipo cualificado, contrato indefinido, salario co

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

IQUADRAT INFORMATICA SL busca 3 desarrolladores Fullstack para unirse al equipo de desarrollo.

ph3Experteer Overview /h3 pAs 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. /p h3Compensaciones / Beneficios /h3 ul liDesign and implement end-to-end data pipelines across Raw Data Vault, Business Data Vault, UJT, and CORE layers /li liHands‑on development with Databricks, Azure Synapse, and IDMC to build and maintain ingestion, transformation, and loading flows /li liEmbed data quality checks and resolve issues early to prevent downstream propagation /li liReview code from junior and mid-level engineers and share best practices /li liCollaborate with Data Modellers, MDM/RDM specialists, and IT leads to translate constraints for planning /li liEnsure pipelines comply with data governance requirements, including lineage, classification, and access controls /li liSupport gate processes (DAB/CCP) with accurate technical evidence and documentation /li liParticipate in sprint planning and delivery cadence, estimate effort, and manage dependencies /li /ul h3Responsabilidades /h3 ul liExtensive experience building and operating large‑scale data pipelines (batch and streaming) /li liProficiency with Apache Spark, Databricks, and cloud-native equivalents /li liExperience with enterprise ETL/ELT patterns and modern lakehouse/warehouse platforms (Databricks, Azure Synapse) /li liStrong SQL, Python, and PySpark; experience with data quality scripting and monitoring (DQX, Great Expectations) /li liKnowledge of data modelling paradigms (Data Vault 2.0, Medallion, Kimball) and metadata capture/data lineage implementations (IDMC, Purview) /li liFamiliarity with SAP MDG or Informatica MDM is a plus; understanding of master/reference data flows /li liCI/CD for data pipelines (GitHub Actions); infrastructure-as-code basics (Terraform) /li liAbility to read architecture documents and engage with architects without hand-holding /li liNice to have: exposure to machine learning concepts /li /ul h3Requisitos principales /h3 ul liHybrid work model /li liUp to 25 days abroad /li liBonus scheme /li liPension /li liEmployee shares program /li liLearning and career development programs /li /ul h3Senior Data Engineer (M/F/D) • Barcelona, Kingdom Of Spain, ES /h3 /p #J-18808-Ljbffr

ph3Position Overview /h3 pThe 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. /p h3Responsibilities /h3 ul liConfigure, automate, and manage data quality rules and monitoring frameworks within CDQ, using AI‑based anomaly detection and monitoring. /li liUse AI to ensure accurate capture, validation, and maintenance of end‑to‑end data lineage, supporting impact analysis and regulatory transparency. /li liDefine and implement data observability metrics, report, and dashboarding, surfacing trends and insights with AI tools. /li liGenerate and maintain business glossaries, data asset descriptions, and stewardship documentation using AI assistants, proposing and pre‑populating data quality rules and policies. /li liCollaborate with data stewards and stakeholders to drive adoption of catalog and governance capabilities, including training on AI‑assisted catalog features. /li liManage platform access, including user roles, permissions, and service account lifecycle management. /li liDesign, configure, and optimize metadata ingestion processes using Informatica connectors, APIs, and custom integration patterns. /li liExecute and maintain API/MCP‑based read and write operations to enable automated metadata ingestion, enrichment, and governance workflows. /li liMonitor reliability of scanning processes, ingestion pipelines, API activity, and platform performance; troubleshoot and resolve related issues. /li liAct as a subject‑matter expert and second‑line support, coordinating with platform administrators and Informatica vendor support for complex incidents. /li liDocument standards, processes, and best practices using AI to ensure scalability, consistency, and operational excellence. /li /ul h3Qualifications /h3 ul liBachelor’s or master’s degree in Computer Science, Information Systems, Data Engineering, or related field. /li liHands‑on expertise with Informatica IDMC, specifically MCC, CDGC, and CDQ. /li liDeep understanding of metadata management and enterprise data cataloging, including metadata models, classifications, and glossaries, and integration patterns for ingesting metadata from multiple sources. /li liExperience designing and implementing data quality rules, data lineage, impact analysis, and governance frameworks. /li liProficient with SQL and data structures; experience with enterprise data platforms, data warehouses, ETL/ELT tools, and cloud ecosystems. /li liExperience with API integration and automation (REST APIs, MCP frameworks). /li liKnowledge of authentication and authorization mechanisms (OAuth, JWT, Service principals). /li liPractical experience with Generative AI, scripting or programming languages for automation. /li liDemonstrated ability to use AI tools to automate repetitive tasks, design prompt strategies, and integrate AI components into governance workflows. /li /ul h3Preferred Skills Competencies /h3 ul liExperience with additional data governance/catalog solutions such as Collibra or Alation. /li liExposure to AI/ML‑based observability or monitoring tools for data platforms. /li liExperience with scripting or programming languages commonly used for automation (Python, PowerShell). /li liFamiliarity with cloud‑native data services in Azure and/or AWS, including security and compliance controls. /li liExperience designing or operating AI‑assisted self‑service data discovery capabilities for business users. /li liProactive, results‑driven attitude with commitment to continuous improvement. /li liExcellent analytical, troubleshooting, and problem‑solving capabilities. /li liStrong communication, stakeholder management, and analytical skills. /li liFluency in English; additional languages are an advantage. /li /ul h3Benefits /h3 ul liCompetitive salary and yearly bonus. /li liFlexible working model to support work‑life balance. /li liOption to work abroad up to 25 days yearly. /li liOver 300 € for home office setup and additional monthly allowance. /li liInternal and external training, including language courses. /li liTicket restaurant and health insurance with flexibility to exchange for other benefits. /li liLife and accident insurance, collective life retirement plan, and stock options. /li liReferral bonus of 2000 € and banking and insurance benefits. /li /ul h3Location /h3 pBarcelona, Poblenou (ES) /p h3Equal Opportunity Statement /h3 pAt Zurich, we are an equal opportunity employer. We attract and retain the best‑qualified individuals regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability. /p /p #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. Se valorará tener conocimientos en herramientas como Collibra, Alation o Informatica, y habilidad para coordinar equipos. El paquete retributivo incluye salario fijo más variable y beneficios como 27 días de vacaciones y jornada intensiva durante los viernes.br#J-18808-Ljbffr

ppApply Your Magic with Us /p pAre you ready to explore, break barriers, and discover much more? We know you have big plans. So do we. Innovating with science and technology to enrich people's lives through solutions in Healthcare, Life Science, and Electronics is what inspires our colleagues worldwide. Together, we dream big and share a passion for caring for a diverse range of people, customers, patients, and the planet. That's why we always seek curious minds who imagine the never-before-seen with us. /p pUnited as One for Patients: Our goal in Healthcare is to help create, improve, and extend lives. We develop treatments, smart devices, and innovative technologies in therapeutic fields such as oncology, neurology, and fertility. Our teams collaborate across six continents with passion and relentless curiosity to support patients at every stage of life. Joining our Healthcare team means being part of a diverse, inclusive, and flexible work culture that offers fantastic opportunities for personal and professional development worldwide. /p h3Your Role /h3 pReady to shape the future of data in RD? As a Working Student for Data Architecture you will support the team to design efficient, scalable data architectures and pipelines that enable analytics and AI across Pharmaceutical RD. Based on communication with RD stakeholders you will help translate functional requirements into technical concepts and implement components together with data engineers. You will gain hands‑on project experience across the RD data value chain and work in a global, agile environment. /p h3Key responsibilities /h3 ul liSupport design and implementation of data models, data pipelines and ETL/ELT flows that feed reporting, analytics and AI solutions. /li liAssist in building and operating data repositories (e.g., Snowflake) and cloud-based data processing (AWS services) together with senior architects and engineers. /li liCollaborate with product owners, data engineers, business analysts and domain users to translate requirements and ensure correct solution delivery. /li liHelp create and maintain architecture blueprints, standards, data dictionaries and best practices for the team. /li liSupport automated CI/CD for data pipelines and integration tests (Azure DevOps / Git / warehouse automation tools). /li liAssist in data quality checks, basic troubleshooting and third‑level support tasks for RD data systems. /li liContribute to documentation, knowledge sharing and operational run‑books. /li /ul h3Experiences /h3 ul liFamiliarity or exposure to Snowflake and AWS data services (Glue, Lambda, DMS) is expected; these are core to our Data AI ecosystem. /li liHands‑on or coursework knowledge of ETL/ELT concepts and tooling such as Informatica (PowerCenter / IICS) and warehouse automation tools (e.g., dbt, Coalesce) is a strong advantage. /li liUnderstanding of data modelling patterns, data flows and the end‑to‑end lifecycle from ingestion to consumption; experience with testing data integrations is beneficial. /li liGood SQL skills; basic Python experience is desirable. /li liBasic understanding of CI/CD concepts and experience (or interest) with Azure DevOps / Git for pipelines and deployments. /li liFluent English and the ability to work in virtual, cross‑functional agile teams. /li /ul h3What We Offer /h3 pWe are curious minds coming from a broad range of backgrounds, perspectives, and life experiences. We believe this diversity drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for everyone to develop and grow at their own pace. Join us to build a culture of inclusion and belonging that impacts millions and empowers everyone to champion human progress. /p /p #J-18808-Ljbffr