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

Experteer Overview In this role you lead data quality governance for the SE Intel data platform, enabling trusted data across 10,000+ users. You will shape the end-to-end data quality framework and translate governance rules into actionable dashboards for executives, product owners, and stream leaders. You drive monitoring, RCA, and preventive actions while guiding a cross-functional team through Agile delivery. This is a chance to shape data quality at scale within Schneider Electric’s digital transformation and data-driven performance initiatives. You will work closely with senior stakeholders to align data quality with business value and product roadmaps. Compensaciones / Beneficios • Define and own the end-to-end data quality framework for SE Intel • Design data quality monitoring rules across sources and KPIs (Digital Flywheel, Vitality Index, Opportunities) • Create and maintain data quality checks and dashboards per data source • Lead backlog prioritization and participate in sprint planning and Agile ceremonies • Manage a cross-functional team of Data Engineers, Analysts, and Visualization Developers • Run monthly data quality disclosures, perform RCA on data quality failures, and drive preventive actions • Act as internal data governance expert and communicate results to ExCom and stakeholders • Run change management to drive adoption of data quality standards across the SE Intel user community • Collaborate with data offices, stream leaders, and product owners to ensure data quality aligns with roadmaps • Support secure data extraction and enforce data security protocols Responsabilidades • Master’s degree in a technical field • Mandatory: data quality, data governance, or data engineering experience • Advanced SQL skills • Experience with SAP SD data model, Salesforce, Tableau, Informatica Cloud, AWS/Redshift • Experience managing cross-functional teams and Agile project management • Strong leadership and communication skills with exposure to ExCom • Experience with global teams • Data governance certification a plus • GenAI/AI data quality exposure a plus Requisitos principales • flexible schedule • hybrid work • Wellwo wellness platform • Wellhub gym network • health insurance • stock ownership program

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

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

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

103751 | Data & AI | Professional | Non-Executive | Allianz Services | Full-Time | Permanent 130 years of trust, time to shape what's next. Allianz Group is one of the world's leading insurers and asset managers - built on over a century of stability, expertise, and financial strength. Allianz Services is where that legacy meets the future. 8,200+ people. Eight countries. Three continents. We deliver specialized services to clients within Allianz Group, powered by AI, advanced analytics, and a mindset that refuses to stand still. From core insurance operations to engineering and consulting services, we reimagine how insurance works. What truly sets us apart are our people and the trusted partnerships we build, anchored in our values of expertise, integrity, and empowerment. We don't support the business. We shape it. We are looking for a Data Architect (m/f/d) to join Allianz Services Spain, contributing to the Data & AI Service through the definition of architecture standards, reference designs, and data platform blueprints.The role focuses ondefining, documenting and governing modern data architectures across platforms, data products, data governance, and AI integration, aligned with Allianz Group standards. • Define and maintain architecture standards, blueprints and reference architectures aligned with Group Data strategy. Produce clear and actionable architectural documentation (principles, guardrails, patterns) for engineering and data teams., • Translate complex architecture topics into consumable guidance for technical and business stakeholders and design modern data platform architectures (e.g., lakehouse, data mesh, self-service data platforms)., • Define end-to-end data flows from ingestion to consumption (BI, analytics, AI), contribute to standardization of Azure-based data platforms and cloud-native architectures and define integration patterns for data catalogues, lineage and governance tooling; Ensure alignment with data governance frameworks, data quality and compliance requirements., • Support definition of monitoring and telemetry patterns for data reliability and compliance and define standards for data products, including data contracts, quality controls, and lifecycle management., • Support implementation patterns for reusable and interoperable data products to contribute to cross-entity data sharing models and architectural guardrails., • Define architectural patterns for integrating data platforms with AI/ML and GenAI solutions whilst also making sure data products are AI-ready (APIs, semantic layers, interfaces); Contribute to responsible AI and governance-aligned architecture principles., • Provide architectural guidance to engineering teams and stakeholders within Allianz Services delivery model., • University degree in Data Science, Data Engineering, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience) with 5–8 years of hands‑on experience in data architecture, data engineering, or enterprise architecture roles., • Strong command of modern data platform architectures (Data Mesh, Data Lakehouse, medallion architecture, event-driven patterns) and practical experience with cloud-native data platforms (Databricks and/or Microsoft Fabric strongly preferred)., • Experience designing and governing Data Products (data contracts, output ports, semantic versioning, quality gates, lineage), familiarity with enterprise data governance frameworks (DAMA-DMBOK, TOGAF or equivalent) and their practical application., • Understanding of regulatory data requirements relevant to financial services or insurance (DORA, IFRS 17, Solvency II awareness welcomed). Working knowledge of Open Table Formats (Delta Lake, Apache Iceberg) and their role in enterprise storage standards., • Experience with data cataloguing and governance tooling (e.g., Informatica IDMC, Unity Catalogue, or comparable platforms) and an understanding of how Data Products connect to AI/ML pipelines, GenAI applications, and agentic systems., • Awareness of API and integration standards (REST, OpenAPI, MCP– Model Context Protocol, event-streaming such as Kafka/AsyncAPI); Comfortable presenting architectural concepts and facilitating discussions with architects, engineers, and stakeholders within a structured delivery model., • Strong written communication skills with ability to produce clear, structured, and high-quality architectural documentation, collaborative working style with ability to operate in a matrixed, multinational organization., • We highly welcome candidates with a genuine interest and affinity for Information Technology (IT) and Generative Artificial Intelligence (GenAI), as these attributes are considered valuable assets to our team., • We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad., • We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location)., • From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered., • Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach. Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the center of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future – for our customers and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture.We therefore welcome applications regardless of ethnicity or cultural Internal background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. Join us. Let's care for tomorrow. #J-18808-Ljbffr

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

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

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

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

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

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

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

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.

Descripción del Trabajo: Si los siguientes requisitos del puesto y la experiencia coinciden con sus habilidades, por favor, asegúrese de enviar su solicitud sin demora. We are your Energy Technology Partner. We electrify, automate, and digitalize every industry, business, and home, driving efficiency and sustainability for all. At Schneider Electric, our values – IMPACT (Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork) – are the foundation of everything we do. Becoming an Impact Maker means turning sustainability ambitions into actions at the intersection of automation, electrification, and digitization. Are you ready to lead the digital transformation to create a more sustainable world? If you are up to challenge your creativity and make an impact, we are excited to welcome you! Schneider Digital is the digital department of Schneider Electric, leading the digital transformation in the company by giving support globally to our internal teams and our clients. Schneider Digital consists of 6 Digital Hubs worldwide which are strategically located to ensure a 24/7 support across the company (France, China, India, USA, Mexico and Spain). Our Digital Hub in Barcelona is formed by +450 employees working in strategic projects and different roles such as Data, Cybersecurity, ERP, Cloud, Infrastructures, IT Project Management or Digital Marketing. We are your Energy Technology Partner. We electrify, automate, and digitalize every industry, business, and home, driving efficiency and sustainability for all. At Schneider Electric, our values – IMPACT (Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork) – are the foundation of everything we do. Becoming an Impact Maker means turning sustainability ambitions into actions at the intersection of automation, electrification, and digitization. Are you ready to lead the digital transformation to create a more sustainable world? If you are up to challenge your creativity and make an impact, we are excited to welcome you! Schneider Digital is the digital department of Schneider Electric, leading the digital transformation in the company by giving support globally to our internal teams and our clients. Schneider Digital consists of 6 Digital Hubs worldwide which are strategically located to ensure a 24/7 support across the company (France, China, India, USA, Mexico and Spain). Our Digital Hub in Barcelona is formed by +450 employees working in strategic projects and different roles such as Data, Cybersecurity, ERP, Cloud, Infrastructures, IT Project Management or Digital Marketing. Data & Performance” mission is to foster Group strategy execution leveraging data as an enabler for performance management. The “Data” streams focus on building and enhancing data foundations, work to connect data, break data silos in order to share one single & trusted version of data across the Group. Our ambition is to raise the overall Data Maturity of Schneider strategic. The “Performance” streams aim at leveraging this data environment to define, enhance or revisit the performance models and publish related power metrics. Within that scope Data & Performance has launched the “Schneider Electric (SE) Intel” application which leverages SE’s new data lake aiming at providing data to all layers of the organization meeting their different content needs: Excom (strategic insights), BU & Ops leaders (transversal & granular), countries & entities (local and granular) and across functions. “SE Intel” application is expected to have up to 10,000+ users. The “SE Intel Data Quality Stream Leader” mission is to define, implement, and lead end-to-end data quality governance, ensuring that data consumed across SE Intel is trusted, timely, and fit for purpose at every level of the organization, from field operations to the ExCom. The role combines direct team management of a cross-functional squad of Data Engineers, Analysts, and Visualization Developers with close partnership with SE Intel Product Owners, Stream Leaders, Data Offices, and senior business stakeholders, governing quality across the enterprise offer portfolio and aligning with commercial roadmaps and business value. The Data Quality Stream Leader reports to SE Intel VP within Data & Performance / Governance and is dotted-line to SE Intel Product Owners. (External) Spanish Qualifications: What will you do? Data Quality Strategy • Translate high-level data governance rules into concrete use cases for Reusable Data Objects (RDOs) and KPIs consumed in SE Intel, converting them into actionable data quality dashboards for stream leaders, data offices, and product owners., • Define and own the E2E data quality framework across SE Intel., • Partner with cross-functional data domains and data offices to govern the quality of the enterprise data, ensuring alignment with commercial roadmaps and business value., • Establish and maintain a single-source-of-truth for 10,000+ business users, including Business Pulse and ExCom, to drive financial and sales performance management., • Act as the internal expert on data governance rules and data quality best practices; be capable of showcasing to any stakeholder. Development • Design and build data quality monitoring rules across all data sources, applying the company’s data quality framework to SE Intel’s key performance drivers (Digital Flywheel, Vitality Index, Opportunities, and others)., • Create and maintain data quality checks and dashboards per data source; prioritize with the product owner, stream leaders, and franchised data offices onboarded in the franchise model., • Drive backlog prioritization considering strategy, roadmap, stakeholder needs, and technical priorities; contribute actively to sprint planning and Agile ceremonies., • Ensure alignment with data quality guidelines and the company’s data maturity model from dedicated data quality centers of excellence., • Ensure excellent user experience by following SE Intel guidelines on design, security, performance, database architecture, and communication when building dashboards and KPIs., • Support the integration of AI-ready data quality standards as SE Intel evolves toward GenAI and conversational analytics capabilities (e.g., Text-to-SQL, Agentic Workflows). Run, Root Cause Analysis & Continuous Improvement • Ensure data quality on monthly disclosures and new releases; own critical data objects including Net Orders, Invoiced Sales, Opportunities, and the enterprise offer portfolio end-to-end., • Act as level-2 support for tickets raised in Service Now for Data Objects in scope; triage, assign, and track issues through to resolution in a reactive and agile manner., • Root Cause Analysis (RCA): Lead structured, deep-dive investigations into data quality failures across SE Intel’s data pipeline, from source systems through ingestion, transformation, and final presentation layers., • Apply systematic RCA methodologies (5-Why, fishbone, or equivalent) to identify root causes at the data source, process, or governance level, not just surface-level symptoms., • Collaborate with stream leaders, data engineers, and source system owners to validate findings and confirm root cause before proposing fixes., • Document and communicate RCA findings and resolution timelines to stream leaders, product owners, and management in a structured and timely manner; escalate unresolved issues with prioritization to SE Intel management., • Preventive Action & Issue Closure: Ensure every resolved issue is followed through with a documented preventive action., • Define and implement preventive controls at the pipeline, governance rule, or data source level; work with technical teams to embed these controls into automated monitoring., • Maintain a preventive action log tracking status, ownership, target completion dates, and effectiveness reviews for all corrective measures., • Drive closure validation: confirm that implemented preventive actions demonstrably reduce or eliminate the recurrence of the identified issue class before closing a case., • Recurring Issue Pattern Analysis: Continuously analyze the DQ issue backlog to detect patterns, clusters, and systemic trends across data sources, domains, and time periods., • Support secure data extraction for ad-hoc management needs, enforcing data security protocols: files in secured SharePoint, access limited to authorized users, regular file hygiene, and proactive communication with product owners on global data access. Team & Stakeholder Management • Directly manage a cross-functional team of Data Engineers, Analysts, and Tableau/Visualization Developers, driving talent development, performance management, and operational excellence., • Lead cross-team collaboration with stream leaders, business product owners, technical product owners, and data offices within the SE Intel franchise model., • Influence and convince stakeholders at all levels, including ExCom, on data quality strategy, escalations, and roadmap prioritization., • Lead change management and communication initiatives to drive adoption of DQ standards and processes across the SE Intel user community., • Participate in and contribute to working groups addressing SE Intel-specific transformation challenges and ad-hoc improvement projects. What qualifications will make you successful for this role? Experience & Skills • Master’s degree in a technical field (Data Science, Computer Science, Engineering, or equivalent), • Mandatory: Prior experience in data quality, data governance, or data engineering; demonstrated expertise in DQ frameworks and end-to-end implementation, • Mandatory: Advanced SQL skills, • Strong plus: SAP SD data model and process knowledge, Salesforce, Tableau, Informatica Cloud, AWS/Redshift architecture, • Demonstrated experience managing or leading cross-functional teams (engineers, analysts, developers), • Project management experience with Agile methodology, • Strong leadership and communication skills; proven ability to engage top management (ExCom level) and their teams, • Experience working with global teams across different functions and geographies, • Data governance certification a strong plus (e.g., DCAM Certified, EDM Council or equivalent), • Exposure to GenAI/AI product development, particularly in the context of data quality for AI pipelines and Text-to-SQL environments Location: Barcelona, Spain; Bangalore, India What will you get? We adapt to you: With our flexible schedule, you'll have the freedom to adjust your work hours to accommodate your personal needs and responsibilities. We know how great it is to work from home. With our hybrid work plan, you can enjoy working from the comfort of your home. Need more time to relax and disconnect? With our Holy Pack, you can purchase additional vacation days to recharge when you need it most. Celebrate holidays your way! With Floating Holidays, you can exchange holidays for other days that better suit your plans and personal preferences. Need additional time to explore new experiences or focus on personal projects? With the Sabbatical Pack, you can request up to 2 months of extra leave (unpaid). We value the importance of family and want to support you in all aspects of your life. Our Global Family Leave Policy provides flexible paid conditions for when you need it most, whether you're about to be a parent, need time to overcome a loss, or to care for a loved one. We take care of you: With access to the health and wellness platform Wellwo, you and up to 5 people of your choice can enjoy access to wellness content, nutrition counseling, fitness classes, and more! From dance classes to booking a hotel spa, we offer an agreement with Wellhub so you can access a network of thousands of gyms and sports centers to keep your body active in the way you like best. Your well-being is our priority. You will have medical service at your workplace for close attention to any medical needs. We empower you: With Career Hub, our AI-driven professional development platform, you can connect with job opportunities, projects, and mentors at Schneider Electric globally. We offer you the opportunity to be a shareholder of Schneider Electric and share in our achievements with our stock ownership program. We celebrate everyone's talent and success with our recognition program, through which you can give and receive points for your achievements and redeem them for gift cards at your favorite stores. You will have life insurance for your protection. We offer you a Flexible Remuneration Plan in which you can choose from a variety of options, such as health insurance, meal vouchers, childcare vouchers, transportation vouchers, training, and more. With Club Schneider, you will enjoy special discounts at your favorite stores, restaurants, travel agencies, and other external services. Participate in company-subsidized volunteer programs to contribute to our community and have a positive impact on your environment. xqbhyrx Let us learn about you! Apply today. #LI-NB2 DIGDATA24 Local Benefits (Spanish): Grade 8

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

AgileEngine is an Inc. 5000 company that creates award‑winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people‑first culture has earned us multiple Best Place to Work awards.WHY JOIN USIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!ABOUT THE ROLEAs a Data Steward, you’ll own how product information moves from business teams to market—validating, enriching, and syndicating data through inRiver across every channel it touches. It’s a cross‑functional role with real breadth: resolving data gaps at the source, maintaining syndication templates, and keeping product data accurate and channel‑ready.WHAT YOU WILL DO- Validate product data across core systems to ensure completeness and accuracy.- Upload product data into PIM systems and resolve data gaps with stakeholders.- Support business teams with product data issues across channels.- Communicate data requirements to stakeholders to ensure data quality aligned with product launch timelines.- Create, track, and report on product data and launch status.- Maintain and reconfigure syndication templates in inRiver.MUST HAVES- 3+ years of experience in data management.- Understanding of data lifecycle.- Experience using multiple tools for data management and stewardship.- Experience with inRiver or PIM tools (Salsify, Informatica, Akeneo).- Experience with PIM syndication for retailers or marketplaces.- Proficiency in Excel.- Ability to work under tight deadlines.PERKS AND BENEFITS- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.- Competitive compensation: USD‑based pay with education, fitness, and team activity budgets.- Exciting projects: Modern solutions with Fortune 500 and top product companies.- Flextime: Flexible schedule with remote and office options.#J-18808-Ljbffr

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

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

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

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

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

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

We Are Waiting for YouHi there!I am Álvaro, the recruiter for this position. Nice to meet you!First, a little bit about what I like the most about working at Zurich Technology Delivery Center: The environment here is incredibly collaborative and innovative. Our tech‑driven mindset fosters continuous learning and growth, creating an atmosphere where everyone can thrive. Now, I can’t wait to share this exciting journey with you at Zurich!First of all, THANK YOU for considering our company. We understand that finding the right opportunity can be tough, but I’ll try to make it easier.Who Are We?Let me introduce us. You’re reading about Zurich Insurance Group, a global leader in insurance, but this role specifically pertains to our Technology Delivery Center (TDC). Established in Barcelona in 2006, the TDC operates as an integral part of Zurich Insurance Group, providing cutting‑edge technological solutions and support to Zurich's local and global business units.In essence, Zurich TDC is where technology meets the vast reach of a multinational company. We specialize in areas such as software development, data analytics, cybersecurity, and IT infrastructure. Our primary mission is to support Zurich's strategic goals and enhance operational efficiency through innovative technology solutions.If you're considering a role with us, know that you'll be joining a hub of technological excellence dedicated to driving Zurich's success on a global scale.Position OverviewThe Enterprise Data Management (EDM) Specialist is responsible for the operation, optimization, and continuous enhancement of the enterprise Data Governance Platform, with a primary focus on Informatica Cloud Data Governance Catalog (CDGC) and Cloud Data Quality (CDQ).This role ensures that enterprise data is trusted, discoverable, and governed by driving high‑quality metadata management, robust data quality controls, and complete end‑to‑end data lineage. Acting as a key technical authority, the EDM Specialist manages metadata ingestion, API‑driven integrations, platform monitoring, and service account governance, while enabling advanced data observability capabilities.The role adopts an AI first mindset, systematically using Generative AI, AI agents, and automation to reduce manual effort, improve consistency, and accelerate delivery (e.G., AI‑assisted documentation, automated metadata enrichment, intelligent anomaly detection).The role collaborates closely with business units, group functions, platform engineering teams, and vendor support, requiring strong technical expertise combined with the ability to translate governance requirements into scalable, AI‑enabled platform solutions.What Can You Expect?And you might be thinking: This is great, what will my day‑to‑day be like, at TDC? I’m glad you asked.As an Enterprise Data Management Specialist you will have the opportunity to:- Configure, automate, and manage data quality rules and monitoring frameworks within CDQ, using AI‑based anomaly detection and monitoring- Use AI to ensure accurate capture, validation, and maintenance of end‑to‑end data lineage, supporting impact analysis and regulatory transparency- Define and implement data observability metrics (e.G., completeness, freshness, accuracy, reliability), including reporting and dashboarding, using AI tools to surface trends and insights- Use AI assistants and AI agents to generate and maintain business glossaries, data asset descriptions, and stewardship documentation, propose and pre‑populate data quality rules and policies based on patterns in existing metadata and data issues- Collaborate with data stewards and business stakeholders to drive adoption of catalog and governance capabilities, including training users on AI‑assisted catalog features- Manage platform access, including user roles, permissions, and service account lifecycle management (creation, credential governance, rotation, and compliance adherence)- Design, configure, and optimize metadata ingestion processes using Informatica connectors, APIs, and custom integration patterns- Execute and maintain API/MCP‑based read and write operations to enable automated metadata ingestion, enrichment, and governance workflows- Monitor and ensure reliability of scanning processes, ingestion pipelines, API activity, and platform performance. Troubleshoot and resolve issues related to metadata ingestion, API integrations, authentication, and service account access- Act as a subject matter expert and second‑line support, coordinating with platform administrators and Informatica vendor support for complex incidents- Use AI to document standards, processes, and best practices to ensure scalability, consistency, and operational excellenceWhat Makes You a Great Fit?While we’re not seeking perfection or expecting you to save the world, we believe that if you meet some of these requirements, you’ll be a fantastic fit for our team. We are waiting for you!- Bachelor’s or master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.- Hands‑on expertise with Informatica IDMC, specifically MCC (Metadata Command Center), CDGC (Cloud Data Governance Catalog) and CDQ (Cloud Data Quality).- Deep understanding of metadata management and enterprise data cataloging, including metadata models, classifications, and glossaries and integration patterns for ingesting metadata from multiple sources.- Data quality rule design and implementation. Data lineage, impact analysis, and governance frameworks.- Experience working with enterprise data platforms (e.G., data warehouses, ETL/ELT tools, cloud ecosystems). SQL skills and solid understanding of data structures.- Experience with API integration and automation (REST APIs, MCP frameworks).- Knowledge of authentication and authorization mechanisms (OAuth, JWT, Service principals).- Practical experience with Generative AI, ideally in coding and agentic workflows. Demonstrated ability to use AI tools to:- Automate repetitive technical tasks (e.G., script generation, test creation, documentation drafts).- Design and execute prompt strategies for LLMs to work safely with metadata and catalog content.- Integrate AI‑based components into existing data governance workflows.Technical & AI‑related- Experience with additional data governance / catalog solutions (e.G., Collibra, Alation).- Exposure to AI/ML‑based observability or monitoring tools for data platforms.- Experience with scripting or programming languages commonly used for automation (e.G., Python, PowerShell).- Familiarity with cloud‑native data services in Azure and/or AWS, including security and compliance controls.- Experience designing or operating AI‑assisted self‑service data discovery capabilities for business users.Behavioural and soft skills- Proactive, results‑driven attitude with a commitment to continuous improvement.- Excellent analytical, troubleshooting, and problem‑solving capabilities.- Good communication, stakeholder management, and analytical skills.- Fluency in English; additional languages are an advantage.And... What Makes Us Special?As well as a competitive salary and a yearly bonus, we offer:- To support your work‑life balance, we have adopted a flexible working model.- Option to work abroad up to 25 days yearly.- Over 300 euros to set up your home office and additional monthly home office allowance.- Wide range of internal and external trainings, including English, German and Spanish classes depending on the needs.- Ticket restaurant and Health Insurance with the flexibility to exchange it for other benefits.- Life and accident insurance.- Collective Life retirement Plan- 2000 referral bonus if you bring other talented people like you to the company.- Special banking and insurance conditions plus Exclusive Employees discounts- Functional diversity benefits- Stock options and mortgage benefits.Where Are We Located?Barcelona, Poblenou.#Li-hybridWe Are Waiting for You.Can you see yourself in this role? Don’t wait any longer! Apply by sending your CV in English.If not, no worries! We’ll meet again in the future. Feel free to share my contact details with anyone you think would be a great fit.At Zurich, we are an equal opportunity employer. We attract and retain the best‑qualified individuals available, regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability.You are the heart & soul of Zurich!At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?We highly value the experience and know‑how of our employees and offer a wide range of opportunities across business areas to encourage you to apply for new opportunities within Zurich when you are ready for your next career step.#J-18808-Ljbffr

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

Position OverviewThe Enterprise Data Management (EDM) Specialist is responsible for the operation, optimization, and continuous enhancement of the enterprise Data Governance Platform, with a primary focus on Informatica Cloud Data Governance Catalog (CDGC) and Cloud Data Quality (CDQ). 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.Responsibilities- Configure, automate, and manage data quality rules and monitoring frameworks within CDQ, using AI-based anomaly detection.- Use AI to ensure accurate capture, validation, and maintenance of end-to-end data lineage, supporting impact analysis and regulatory transparency.- Define and implement data observability metrics (e.G., completeness, freshness, accuracy, reliability) and report through dashboards using AI tools.- Use AI assistants and agents to generate and maintain business glossaries, data asset descriptions, and stewardship documentation, proposing and pre-populating data quality rules and policies.- Collaborate with data stewards and business stakeholders to drive adoption of catalog and governance capabilities, including training users on AI-assisted catalog features.- Manage platform access, including user roles, permissions, and service account lifecycle management (creation, credential governance, rotation, and compliance adherence).- Design, configure, and optimize metadata ingestion processes using Informatica connectors, APIs, and custom integration patterns.- Execute and maintain API/MCP-based read and write operations to enable automated metadata ingestion, enrichment, and governance workflows.- Monitor and ensure reliability of scanning processes, ingestion pipelines, API activity, and platform performance; troubleshoot and resolve issues related to metadata ingestion, API integrations, authentication, and service account access.- Act as a subject matter expert and second-line support, coordinating with platform administrators and Informatica vendor support for complex incidents.- Use AI to document standards, processes, and best practices to ensure scalability, consistency, and operational excellence.Qualifications- Bachelor's or master's degree in Computer Science, Information Systems, Data Engineering, or a related field.- Hands‑on expertise with Informatica IDMC, specifically MCC, CDGC, and CDQ.- Deep understanding of metadata management and enterprise data cataloging, including metadata models, classifications, and glossaries.- Experience designing and implementing data quality rules, data lineage, impact analysis, and governance frameworks.- Experience with enterprise data platforms (e.G., data warehouses, ETL/ELT tools, cloud ecosystems). SQL skills and solid understanding of data structures.- Experience with API integration and automation (REST APIs, MCP frameworks).- Knowledge of authentication and authorization mechanisms (OAuth, JWT, service principals).- Practical experience with Generative AI, including coding and agentic workflows, and ability to use AI tools to automate repetitive technical tasks.Preferred Skills & CompetenciesTechnical & AI-related- Experience with additional data governance/catalog solutions (e.G., Collibra, Alation).- Exposure to AI/ML-based observability or monitoring tools for data platforms.- Experience with scripting or programming languages commonly used for automation (e.G., Python, PowerShell).- Familiarity with cloud-native data services in Azure and/or AWS, including security and compliance controls.- Experience designing or operating AI-assisted self-service data discovery capabilities for business users.Behavioural and soft skills- Proactive, results‑driven attitude with a commitment to continuous improvement.- Excellent analytical, troubleshooting, and problem‑solving capabilities.- Good communication, stakeholder management, and analytical skills.- Fluency in English; additional languages are an advantage.Benefits- Competitive salary and yearly bonus.- Flexible working model to support work‑life balance.- Option to work abroad up to 25 days yearly.- Over 300 euros to set up a home office and additional monthly home‑office allowance.- Wide range of internal and external trainings, including English, German and Spanish classes.- Ticket restaurant and health insurance with flexible exchange options.- Life and accident insurance.- Collective life retirement plan.- Referral bonus of 2000 euros for each successful hire.- Special banking and insurance conditions plus exclusive employee discounts.- Functional diversity benefits.- Stock options and mortgage benefits.LocationBarcelona, Poblenou (ES).Equal Opportunity StatementAt 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.#J-18808-Ljbffr

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

Zurich Insurance Group’s Technology Delivery Center in Barcelona seeks an Enterprise Data Management Specialist to operate and enhance the data governance platform, focusing on Informatica Cloud CDGC and CDQ.

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

h3Data Governance - BCN Ingeniería Industrial, Ingeniería Telecomunicaciones o similares /h3h3Data Governance - BCN Ingeniería Industrial, Ingeniería Telecomunicaciones o similares /h3h3Captación del Talento - Talent Acquisition - Minsaiter (Indra) /h3pData Governance Barcelona - Ingeniería Industrial, Telecomunicaciones o similares /pp1. Este es el reto /ppEn Minsait creemos en el talento que impulsa el cambio. Únete a nuestro equipo de Data Governance y sé parte de esta transformación. /pp2. Sobre el equipo y su impacto /ppSer parte de nuestro equipo de Data Governance es comprender las capacidades de las tecnologías, pero desde un punto de vista funcional y entender como estas aportan valor al negocio de una organización. /ppBuscamos personas con habilidades comunicativas que quieran enfocarse a la tecnología, pero desde una perspectiva más de gestión y no de programador o desarrollador.Nuestra experiencia en gestión integral del conocimiento y en la implementación de soluciones vanguardistas marcan la diferencia a nivel global. /pp3. Motivos por los que ser un #Minsaiter: /ppEn Minsait, trabajamos para que nuestros profesionales encuentren el equilibrio perfecto entre su vida personal y profesional. Por ello, ofrecemos: /pp· Entorno humano y retador: /pp· Equipo excepcional y diverso, en el que podrás colaborar con profesionales especializados y siempre actualizados. /pp· Entorno que fomenta la innovación, el respeto y el crecimiento conjunto. /pp· Proyectos únicos y retadores con tecnologías punteras, donde tu talento será protagonista. /ppDesarrollo Profesional: /pp· Planes de carrera personalizados que te permitirán alcanzar todo tu potencial /pp· Formación continua con acceso gratuito a UDEMY. /ppLo que harás con nosotros /ppParticipación en la definición de modelos de gobierno del dato, tanto organizativos como operativos, alineados con la estrategia de datos de la compañía. /ppColaboración en la parametrización y configuración de herramientas de gobierno del dato como Informatica Cloud Governance. /ppApoyo en iniciativas de gestión del cambio para facilitar la adopción de políticas y procesos relacionados con la gestión de datos. /ppIdentificación y documentación de datos maestros y referenciales clave para los distintos dominios de negocio. /ppAnálisis de flujos de datos y contribución en la mejora de su calidad, trazabilidad y control. /ppInterlocución con equipos técnicos y funcionales para asegurar una correcta implantación del gobierno del dato /ppLo que buscamos en ti para ser parte de esta transformación: /pp- Capacidad de análisis /pp- Capacidad comunicativa y proactividad /pp- Capacidad e interés técnico /ppNuestro compromiso es promover ambientes de trabajo en los que se trate con respeto y dignidad a las personas, procurando el desarrollo profesional de la plantilla y garantizando la igualdad de oportunidades en su selección, formación y promoción ofreciendo un entorno de trabajo libre de cualquier discriminación por motivo de género, edad, discapacidad, orientación sexual, identidad o expresión de género, religión, etnia, estado civil o cualquier otra circunstancia personal o social. /ph3ANALISTA DE DATOS PARA ESTRATEGIA OPERATIVA (BARCELONA/MADRID) /h3h3Analista de Datos de Consumos Energéticos /h3pEsplugues de Llobregat, Catalonia, Spain 1 month ago /ph3Risk Data Analyst - Seguimiento Admisión /h3h3Programa Formativo DATA Y BUSINESS INTELLIGENCE-Sabseg- /h3pEsplugues de Llobregat, Catalonia, Spain 1 month ago /p #J-18808-Ljbffr

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

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