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

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

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

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

pZurich Insurance Group’s Technology Delivery Center in Barcelona seeks an Enterprise Data Management Specialist to operate and enhance the data governance platform, focusing on Informatica Cloud CDGC and CDQ. You’ll enable trusted, discoverable data with AI-assisted metadata enrichment, data observability, and end-to-end lineage. /ppYou’ll collaborate with data stewards, business units, and vendor support to implement scalable, AI-enabled catalog solutions and governance processes in a hybrid /p #J-18808-Ljbffr

Zurich Insurance is seeking an Enterprise Data Management (EDM) Specialist in Barcelona, responsible for enhancement of data governance platforms, focusing on Informatica tools and AI-driven data quality. No espere a enviar su solicitud después de leer esta descripción; se espera un gran volumen de candidaturas para esta oportunidad. The role involves collaboration with various stakeholders to establish efficient workflows and ensure regulatory compliance. The ideal candidate will hold a degree in a relevant field, possess strong skills in SQL and data management tools, and have experience with API integrations. xcskxlj The position offers flexible work arrangements and other competitive benefits. #J-18808-Ljbffr

Zurich Insurance is seeking an Enterprise Data Management (EDM) Specialist in Barcelona, responsible for enhancement of data governance platforms, focusing on Informatica tools and AI-driven data quality. The role involves collaboration with various stakeholders to establish efficient workflows and ensure regulatory compliance.The ideal candidate will hold a degree in a relevant field, possess strong skills in SQL and data management tools, and have experience with API integrations. The position offers flexible work arrangements and other competitive benefits.

Lead Data Engineer (m/f/d) Barcelona, Catalonia, ES Overview The Simpli Fi Data Pool is a central data repository on Azure that unifies OE financial data, supports compliance, and powers reporting for Allianz. It integrates with SAP, follows a harmonized data model, and provides a Power BI layer for analytics. Responsibilities Define and enforce data engineering standards, pipeline design patterns, naming conventions, and modelling approaches (e.G., Data Vault). Make architectural decisions and translate business/domain requirements into technical solutions. Design and oversee end‑to‑end data pipelines, owning flows across Raw Data Vault, Business Data Vault, UJT, and CORE layers using tools such as Databricks, Azure Synapse, and IDMC. Accountable for data quality at the pipeline level—define checks, monitor, and resolve data issues before they propagate downstream. Guide junior/mid engineers, set the bar for code quality, and conduct reviews to strengthen team capability. Collaborate closely with Data Modellers, MDM/RDM specialists, Data Architects, and IT component leads to bridge technology and business intent. Ensure pipelines meet data governance requirements (lineage, classification, access controls) and support gate processes. Act as a technical proxy in planning sessions, helping size effort, flag dependencies, and unblock the team during sprint/delivery cycles. Qualifications Hands‑on experience building and operating large‑scale pipelines (batch and streaming). Proficiency with Apache Spark, Kafka, Airflow, and Azure/Cloud equivalents (ADF, Glue, Dataflow). Experience with ETL/ELT patterns at enterprise scale and modern lakehouse/warehouse platforms such as Databricks or Azure Synapse. Deep knowledge of Azure compute, storage, networking, and managed services. Strong grasp of relational, dimensional (Kimball), and Data Vault 2.0 modelling; proficiency in SQL, Python, and familiarity with Scala or Py Spark. Experience implementing data quality rules, profiling, and monitoring with tools like Acceldata, Great Expectations, or Monte Carlo. Understanding of master and reference data flows; experience with SAP MDGor Informatica MDM is a plus. Knowledge of CI/CD for data pipelines (Git Hub Actions, Azure Dev Ops), version control, Ia C basics (Terraform), and containerisation concepts. Ability to read and contribute to architecture documents and implement metadata capture and data lineage (e.G., IDMC, Purview). Familiarity with governance frameworks and gate processes; machine learning knowledge is an advantage. Benefits Hybrid work model with up to 25 days per year of remote work from abroad. Competitive compensation including a bonus scheme, pension, employee shares, and local employee discounts. Career development and digital learning programs, international mobility opportunities, and a culture that encourages innovation and empowerment. Flexible working, health and wellbeing support, including healthcare and parental leave benefits. Equal Opportunity Statement Allianz Group is an equal‑opportunity employer. We encourage applications from candidates of all races, ethnicities, genders, religions, disabilities, and sexual orientations. We welcome diversity and inclusion at all levels. We do not accept unsolicited resumes from recruitment agencies or search firms unless a formal contract is in place. #J-18808-Ljbffr

ph3About the Job /h3 pThe SimpliFi Data Pool is a central data repository hosted on Azure, designed to unify OE financial data and enhance cost efficiency. It serves as the primary source of accounting and reporting data, ensuring compliance with mandatory reporting requirements. The Data Pool is a key component of the SimpliFi program, integrated with SAP, providing a harmonized data model with Common Core components, including a globally harmonized Chart of Accounts and standardized accounting and reporting processes. /p pThe ecosystem optimizes finance data management through key components: structured data storage (Staging Area, Raw Data Vault, Business Data Vault), customized feeder system integrations, seamless SAP connectivity via Azure functions, and a PowerBI-enabled reporting layer for in-depth analysis and data lineage transparency. It features Master and Reference Data Management (Informatica IDMC), rigorous data quality checks, and the SimpliFi Studio interface for user-friendly manual uploads and pipeline monitoring, ensuring data accuracy, reliability, and operational efficiency. /p h3What You Do /h3 ul liDefine and enforce data engineering standards — pipeline design patterns, naming conventions, modelling approaches (e.g. Data Vault). Make architecture decisions and translate business/domain requirements into technical solutions. /li liDesign and oversee end-to-end data pipelines: ingestion, transformation, loading. In SimpliFi terms, this means owning flows across Raw Data Vault, Business Data Vault, UJT, and CORE layers — often spanning tools like Databricks, Azure Synapse, and IDMC. /li liAccountable for data quality at the pipeline level — defining checks, monitoring and resolving data issues before they propagate downstream. /li liGuide junior/mid engineers, set the bar for code quality, and conduct reviews. A key multiplier for team capability. /li liWork closely with Data Modellers, MDM/RDM specialists, Data Architects, and IT component leads. Bridge the gap between technical implementation and business intent. /li liEnsure pipelines meet data governance requirements (lineage, classification, access controls) and support gate processes where relevant. /li liAct as a technical proxy in planning sessions, helping size effort, flag dependencies and unblock the team during sprint/delivery cycles. /li /ul h3What You Bring /h3 ul liHands‑on expertise building and operating large‑scale pipelines — batch and streaming. Proficiency in tools like Apache Spark, Kafka, Airflow and cloud‑native equivalents (ADF, Glue, Dataflow). Experience with ETL/ELT patterns at enterprise scale. Practical experience with modern lakehouse/warehouse platforms — Databricks, Azure Synapse, or equivalents. Understands partitioning, clustering, query optimisation. /li liDeep working knowledge of at least one major cloud Azure — compute, storage, networking, managed services. In enterprise contexts like SimpliFi, Azure is typically dominant (ADLS, ADF, Azure Databricks). /li liSolid grasp of modelling paradigms — relational, dimensional (Kimball), and Data Vault 2.0. Ability to review and contribute to models, not just implement them. Strong SQL (complex transformations, performance tuning), Python (pipeline logic, data quality scripts), and familiarity with Scala or PySpark for distributed workloads. /li liExperience implementing DQ rules, profiling, and monitoring — ideally with tools like Acceldata, Great Expectations, or Monte Carlo. /li liUnderstanding of master and reference data flows — how golden records are created, maintained, and consumed. Experience with platforms like SAP MDG or Informatica MDM is a strong plus. /li liCI/CD for data pipelines (GitHub Actions, Azure DevOps), version control discipline, infrastructure‑as‑code basics (Terraform), and containerisation (Docker/Kubernetes awareness). /li liAble to read and contribute to architecture documents — understands layers, zones and data flow patterns across a platform. Can engage meaningfully with architects without needing hand‑holding. Know how to implement metadata capture, data lineage (e.g. via IDMC or Purview), and access controls. Experience navigating governance frameworks and gate processes. /li liFamiliarity with Machine learning is a strong advantage. /li /ul h3What We Offer /h3 ul liHybrid work model enabling up to 25 days per year working from abroad. /li liCompensation and benefits package that includes a company bonus scheme, pension, employee shares program and various discounts (details vary by location). /li liCareer development and digital learning programs, international career mobility, and an environment fostering innovation, delivery and empowerment. /li liFlexible working, health and wellbeing offers (including healthcare and parental leave benefits) to support family and career balance and help employees return from career breaks. /li /ul h3Equal Opportunity Employer /h3 pAllianz Group is one of the most trusted insurance and asset management companies in the world. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in. We welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations. /p /p #J-18808-Ljbffr

About the JobThe Simpli Fi 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 Simpli Fi program, integrated with SAP, providing a harmonized data model with Common Core components, including a globally harmonized Chart of Accounts and standardized accounting and reporting processes.The ecosystem optimizes finance data management through key components: structured data storage (Staging Area, Raw Data Vault, Business Data Vault), customized feeder system integrations, seamless SAP connectivity via Azure functions, and a Power BI-enabled reporting layer for in-depth analysis and data lineage transparency. It features Master and Reference Data Management (Informatica IDMC), rigorous data quality checks, and the Simpli Fi Studio interface for user-friendly manual uploads and pipeline monitoring, ensuring data accuracy, reliability, and operational efficiency.What You DoDefine and enforce data engineering standards — pipeline design patterns, naming conventions, modelling approaches (e.G. Data Vault). Make architecture decisions and translate business/domain requirements into technical solutions.Design and oversee end-to-end data pipelines: ingestion, transformation, loading. In Simpli Fi terms, this means owning flows across Raw Data Vault, Business Data Vault, UJT, and CORE layers — often spanning tools like Databricks, Azure Synapse, and IDMC.Accountable for data quality at the pipeline level — defining checks, monitoring and resolving data issues before they propagate downstream.Guide junior/mid engineers, set the bar for code quality, and conduct reviews. A key multiplier for team capability.Work closely with Data Modellers, MDM/RDM specialists, Data Architects, and IT component leads. Bridge the gap between technical implementation and business intent.Ensure pipelines meet data governance requirements (lineage, classification, access controls) and support gate processes where relevant.Act as a technical proxy in planning sessions, helping size effort, flag dependencies and unblock the team during sprint/delivery cycles.What You BringHands‑on expertise building and operating large‑scale pipelines — batch and streaming. Proficiency in tools like Apache Spark, Kafka, Airflow and cloud‑native equivalents (ADF, Glue, Dataflow). Experience with ETL/ELT patterns at enterprise scale. Practical experience with modern lakehouse/warehouse platforms — Databricks, Azure Synapse, or equivalents. Understands partitioning, clustering, query optimisation.Deep working knowledge of at least one major cloud Azure — compute, storage, networking, managed services. In enterprise contexts like Simpli Fi, Azure is typically dominant (ADLS, ADF, Azure Databricks).Solid grasp of modelling paradigms — relational, dimensional (Kimball), and Data Vault 2.0. Ability to review and contribute to models, not just implement them. Strong SQL (complex transformations, performance tuning), Python (pipeline logic, data quality scripts), and familiarity with Scala or Py Spark for distributed workloads.Experience implementing DQ rules, profiling, and monitoring — ideally with tools like Acceldata, Great Expectations, or Monte Carlo.Understanding of master and reference data flows — how golden records are created, maintained, and consumed. Experience with platforms like SAP MDG or Informatica MDM is a strong plus.CI/CD for data pipelines (Git Hub Actions, Azure Dev Ops), version control discipline, infrastructure‑as‑code basics (Terraform), and containerisation (Docker/Kubernetes awareness).Able to read and contribute to architecture documents — understands layers, zones and data flow patterns across a platform. Can engage meaningfully with architects without needing hand‑holding. Know how to implement metadata capture, data lineage (e.G. via IDMC or Purview), and access controls. Experience navigating governance frameworks and gate processes.Familiarity with Machine learning is a strong advantage.What We OfferHybrid work model enabling up to 25 days per year working from pensation and benefits package that includes a company bonus scheme, pension, employee shares program and various discounts (details vary by location).Career development and digital learning programs, international career mobility, and an environment fostering innovation, delivery and empowerment.Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) to support family and career balance and help employees return from career breaks.Equal Opportunity EmployerAllianz Group is one of the most trusted insurance and asset management companies in the world. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in. We welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations.

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

ppAbout the role /ph3Responsibilities /h3pThe Senior Manager Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and architectures. The role involves working closely with data Owners, IT, analysts, and business stakeholders to ensure data availability, quality, and accessibility for analytics, reporting, and advanced data use cases. Highly skilled Senior Data Engineer to take on a hybrid role that is both hands‑on technical and consulting oriented. /pulliDesign, build, and optimize data pipelines for structured and unstructured data. /liliDevelop and maintain ETL/ELT processes to integrate data from multiple sources (SAP, Salesforce, APIs, flat files, cloud platforms, etc.). /liliEnsure data quality, consistency, and governance across the data lifecycle. /liliImplement and manage data models, warehouses, and lakehouse solutions (e.g., Snowflake, Databricks, Redshift, BigQuery). /liliCollaborate with stakeholders to translate business requirements into technical solutions. /liliMonitor and improve data pipelines for scalability, performance, and cost efficiency. /liliEnsure compliance with data security, privacy, and governance standards (GDPR, HIPAA, etc.). /liliAutomate repetitive data engineering tasks and adopt DevOps/DataOps best practices. /liliWork closely with cloud platforms (AWS, Azure, GCP) and modern data stack tools. /li /ulh3Qualifications /h3ulliBachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or related discipline. /liliOver 6 or more years of hands‑on experience in data engineering, data integration, or related fields. /liliProven experience in designing and implementing data pipelines, data models, and data platforms. /liliStrong exposure to consulting client‑facing roles, working with cross‑functional stakeholders. /liliExperience with enterprise systems (SAP, Salesforce, ERP, CRM) and complex data migration projects. /liliStrong proficiency in SQL, Python, and/or Scala/Java for data engineering and automation. /liliDeep expertise with ETL/ELT tools (Informatica, SAP Data Services, Talend, dbt, Azure Data Factory). /liliStrong knowledge of data warehouse and lakehouse architectures (Snowflake, Databricks, BigQuery, Redshift, Synapse). /liliExperience with big data frameworks (Apache Spark, Kafka, Hadoop). /liliFamiliarity with data governance, lineage, and cataloging tools (Collibra, Alation, Purview). /liliKnowledge of Master Data Management (MDM/MDG). /liliPractical expertise with cloud platforms and their native data services. /liliIndustry experience in regulated sectors (Pharma, Healthcare, Finance, or Manufacturing) is an advantage. /liliStrong communication and presentation abilities, with the capability to simplify technical solutions for business leaders. /li /ulh3Why Join Us? /h3pAt Fresenius Kabi, you’ll contribute to something meaningful: delivering life‑saving therapies to patients around the world. As part of a global transformation, you will work in a highly visible, impactful role with the opportunity to shape how we manage software development and delivery. You will join a diverse and dynamic team in a collaborative environment where your expertise will help drive innovation, efficiency, and quality across our digital landscape. /ppWhen your job has both impact and purpose, you know it's Fresenius. As a global healthcare group, we are committed to a special goal: Ever better medicine for ever more people. Whether directly with patients or as an expert in the background, at Fresenius you can contribute to improving the quality of life of people with diseases. /p /p #J-18808-Ljbffr

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

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

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

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. Se valorará tener conocimientos en herramientas como Collibra, Alation o Informatica, y habilidad para coordinar equipos. El paquete retributivo incluye salario fijo más variable y beneficios como 27 días de vacaciones y jornada intensiva durante los viernes.br#J-18808-Ljbffr

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

ph3Introduction /h3pExclusive Networks is the global cybersecurity go-to-market specialist that provides partners and end-customers with a wide range of services and product portfolios. With offices in over 45 countries and the ability to serve customers in over 170 countries, we combine deep local expertise with the scale and delivery of a single global organization. /ppOur best-in-class vendor portfolio is carefully curated with all leading industry players. Our services range from managed security to specialist technical accreditation and training and capitalize on rapidly evolving technologies and changing business models. For more information visit /ppAt Exclusive Networks, we are passionate about making a difference. That means delivering the best to our ecosystem, shaping a prosperous and trusted digital world, and helping our people to realize their full potential. /ph3Duties and Responsibilities /h3pEXN's customer and vendor data is currently fragmented across multiple ERPs (NetSuite, SAP, Jiwa, Sage), inconsistently structured in HubSpot, and not reliably linked across systems. The same partner can appear with different IDs, names, and structures depending on which system you look in - making campaign targeting unreliable, account-level decisions inaccurate, and operational processes manual. /ppThe Master Data Analyst is the long-term solution. In the meantime, there is significant work to do: defining what the data should look like, documenting what exists, measuring the gap, and working with IT and the MDM team to prioritise and track resolution. /ppAs Master Data Analyst is implemented there is a need to define how master data is structured, how authoritative sources are determined across systems, and how records are matched and merged to form a trusted golden record. /ppThe Master Data Analyst sits at the intersection of business and IT. They translate what commercial teams need from the data into quality requirements the technical teams can act on - and translate the technical reality of what the data contains back to the business in terms they can use. /ppbAs The Master Data Analyst, You Will /b /pulliDefine and document data standards, validation rules, and quality thresholds for the Customer/Partner and Vendor domains /liliDesign and maintain a data quality scorecard for the Customer/Partner and Vendor domains, covering dimensions such as: completeness, accuracy, consistency, timeliness. /liliMaintain a structured log of known data quality issues, categorised by domain, system, and business impact /liliSupport HubSpot data cleanup planning: define what the target state for HubSpot company records should look like; establish quality criteria for the reimport; help sequence the cleanup /liliOperate the MDM stewardship workflows for the Customer/Partner and Vendor domains: review match proposals, approve or reject merge recommendations, manage exceptions /liliContribute to the development of EXN's data governance operating model: RACI for data ownership, escalation paths, data steward responsibilities across domains, and the principles governing how master data decisions are made /li /ulh3Qualifications and Experience /h3pbAbout you /b /ppbThe ideal: Master Data Analyst /b /pulli5-8 years' experience in master data management, data quality, data governance /liliUnderstanding of master data management concepts, including golden record curation, match and merge and survivorship /liliExperience of working with multiple source systems and resolving data errors across them /liliDemonstrated ability to define data quality standards and metrics - not just identify problems, but structure and measure them /liliStrong analytical skills; be comfortable interrogating data in SQL, Excel, or BI tools to investigate quality issues /liliExperience producing data quality reports and domain documentation for non-technical business audiences /liliUnderstanding of CRM or ERP data structures: accounts, contacts, hierarchies, and relationships /li /ulh3Why work for us /h3pWe are people focused and strongly believe that talent empowers us to continue our dynasty of disruption and growth in the future. Our Mission is to drive the transition to a totally trusted digital world for all people and organizations. Visit our website /ppWe are proud to be an Equal Opportunity Employer. We are committed to the recruitment and hiring of individuals from diverse backgrounds and experiences, as we believe this strengthens our ability to develop superior solutions, make informed decisions, and better serve our valued customers. We do not discriminate against individuals on the basis of race, religion, color, national origin, gender, sexual orientation, disability status, or any similar characteristic. Employment decisions are made solely on the basis of qualifications, merit, and business need. Please click here to review our Diversity and Inclusion Policy for further information. /ppWe care about your data: please click here to read our Recruitment Data Protection Policy prior to applying, and therefore sharing your data with us. /ppXcelerate 2030 /ppbDesired Skills And Experience /b /ppPowerBI Databricks MDM stewardship informatica /p /p #J-18808-Ljbffr

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). Deep understanding of metadata management

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. • 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, • Extensive experience building and operating large‑scale data pipelines (batch and streaming), • Proficiency with Apache Spark, Databricks, and cloud-native equivalents, • Experience with enterprise ETL/ELT patterns and modern lakehouse/warehouse platforms (Databricks, Azure Synapse), • Strong SQL, Python, and PySpark; experience with data quality scripting and monitoring (DQX, Great Expectations), • Knowledge of data modelling paradigms (Data Vault 2.0, Medallion, Kimball) and metadata capture/data lineage implementations (IDMC, Purview), • Familiarity with SAP MDG or Informatica MDM is a plus; understanding of master/reference data flows, • CI/CD for data pipelines (GitHub Actions); infrastructure-as-code basics (Terraform), • Ability to read architecture documents and engage with architects without hand-holding, • Nice to have: exposure to machine learning concepts, • Hybrid work model, • Up to 25 days abroad, • Bonus scheme, • Pension, • Employee shares program, • Learning and career development programs #J-18808-Ljbffr

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

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

¡HOLA! bienvenido a nuestras ofertas :) Vamos a contarte que buscamos y que nos hace Genuine.Buscamos una persona para ocupar el rol de Consultor Senior en Gobierno del Dato, integrándose en nuestra área de Data&Process. Participarás en un proyecto para el desarrollo e implementación de un modelo de Gobierno del Dato corporativo, que incluye la evaluación de madurez, definición de estrategia y políticas, y la implantación de una herramienta de gobierno y catalogación basada en tecnologías líderes del mercado.¿Qué tienes que hacer?Participar en la evaluación de madurez del dato, identificando brechas, oportunidades de mejora y prioridades de actuación.Elaborar y mantener actualizada la estrategia de datos, asegurando su alineación con los objetivos organizacionales y regulatorios.Diseñar el modelo organizativo de Gobierno del Dato, definiendo roles, responsabilidades, funciones y mecanismos de coordinación entre áreas.Definir las políticas, estándares y procesos de Gobierno del Dato, incorporando los principios de calidad, seguridad, gestión de metadatos, trazabilidad, control de accesos y cumplimiento normativo.Elaborar la documentación operativa y de soporte necesaria para la correcta aplicación del modelo y la política de gobierno (plantillas, guías, procedimientos).Diseñar e implementar mecanismos de seguimiento y medición, incluyendo indicadores (KPIs), auditorías y cuadros de mando de control y evolución del modelo.Acompañar a la organización en el proceso de transformación cultural y adopción del modelo, participando en acciones de formación y transferencia de conocimiento a los nuevos roles de gobierno.Desarrollar el modelo de despliegue escalable y las recomendaciones para su extensión progresiva a otras áreas de la organización, garantizando la sostenibilidad y mejora continua del Gobierno del Dato.¿Qué requisitos son necesarios?Formación Universitaria preferiblemente en Ingeniería, Matemáticas, Físicas, Administración y Dirección de Empresas, y Económicas.Experiencia o conocimiento de herramientas de Gobierno del Dato y Catálogo, como Microsoft Purview, Informatica o Anjana Data (u otras equivalentes).Dominio del marco DAMA-DMBOK, preferiblemente con certificación CDMP.Familiaridad con normativas y estándares de protección y seguridad de la información.Capacidad para interactuar con equipos multidisciplinares, colaborando con áreas de negocio, TI, jurídica y ciberseguridad.Valorable: Experiencia previa en proyectos del sector público o en entornos regulatorios será altamente valorada.Teletrabajo remoto 100%Cuidarte en todos los aspectos es una máxima en Entelgy, es parte de nuestra cultura Genuine que se vive en el día a día. Sabemos lo que te importa, por ello, la conciliación es algo que valoramos y facilitamos con nuestro modelo de trabajo flexible, #Balance así como un conjunto de iniciativas orientadas a potenciar una vida sana y equilibrada, como nuestra plataforma digital de Salud y Bienestar My Wellness, Health Training y actividades en Entelgy Sport Club.Además, con nuestro plan de Retribución Flexible My Flex accederás a diferentes productos con ventaja económica y fiscal, así como podrás beneficiarte de más de 450 descuentos y ofertas especiales en nuestro portal My Club y muchas cosas más.PONEMOS TODO NUESTRO TALENTO EN POTENCIAR EL TUYONuestra universidad Entelgy College pone a tu disposición una amplia oferta formativa en tecnologías, habilidades, certificaciones, 12 idiomas y mucho más. Tú decides en que quieres formarte. Tu crecimiento estará garantizado y potenciado. Vamos contigo en lo que necesites.Ven para formar parte de nuestro equipo, y descubre que no es sólo lo que hacemos, sino cómo lo hacemos.

Position Overview The Enterprise Data Management (EDM) Specialist manages the operation, optimization, and continuous enhancement of Zurich TDC’s enterprise data governance platform, focusing on Informatica Cloud Data Governance Catalog (CDGC) and Cloud Data Quality (CDQ). The role ensures trusted, discoverable data through high‑quality metadata management, data quality controls, and end‑to‑end data lineage, and serves as a technical authority for metadata ingestion, API integrations, platform monitoring, and service account governance. Si los siguientes requisitos del puesto y la experiencia coinciden con sus habilidades, por favor, asegúrese de enviar su solicitud sin demora. 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 such as completeness, freshness, accuracy, and reliability, including reporting and dashboarding powered by AI tools., • Generate and maintain business glossaries, data asset descriptions, and stewardship documentation with AI assistants and agents, proposing and pre‑populating data quality rules and policies based on metadata patterns., • 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: user roles, permissions, and service account lifecycle management (creation, credential governance, rotation, compliance)., • 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., • 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 a related field., • Hands‑on experience 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., • Background working with enterprise data platforms (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, including automating repetitive technical tasks, designing prompt strategies for LLMs, and integrating AI‑based components into existing data 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 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.Behavioural and Soft Skills, • Proactive, results‑driven attitude with a 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, • Flexible working model supporting work‑life balance., • Option to work abroad up to 25 days per year., • Funding of up to €300 for home‑office setup and a monthly home‑office allowance., • Wide range of 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., • €2,000 referral bonus for successful hires., • Special banking and insurance conditions plus exclusive employee discounts., • Functional diversity benefits., • Stock options and mortgage benefits.Location and Schedule, • Location: Barcelona, Poblenou, Spain., • Schedule: Full time., • Recruiter: Alvaro Gallego Zazo.Equal Opportunity Employer Zurich is an equal‑opportunity employer. We attract and retain the best‑qualified individuals available, regardless of race, ethnicity, religion, gender, sexual orientation, age, or disability. xcskxlj Interested candidates should submit a CV in English. #J-18808-Ljbffr

ppbJob Description Summary /b /p pUna carrera dentro de la práctica de Gobierno del Dato te brindará la oportunidad de ayudar a nuestros clientes a desarrollar un programa de gobierno de datos eficaz que los acerque más a su ambición de convertirse en “data-driven”.br/A medida que las empresas avanzan en su transformación digital, se generan y comparten más datos entre organizaciones, socios y clientes de manera exponencial. Como equipo de Gobierno del Dato, desempeñamos un papel integral en ayudar a los clientes (de cualquier sector y geografía) a superar los desafíos que les impiden alcanzar esta ambición: p.ej. silos de información, calidad deficiente de los datos, duplicidades, falta de confianza en los datos y los informes. /p pActualmente estamos buscando un perfil con experiencia para nuestro departamento de Data Consulting, especificamente con experiencia en Data Strategy Data Governance. Del candidato esperamos que tenga experiencia y habilidades demostrables en los siguientes campos: /p ul liDefinir y desplegar una estrategia de datos corporativa. /li liDefinir y/o adaptar frameworks de Gobierno del Dato basados en estándares internacionales (DAMA, DCAM, …). /li liDar soporte a Chief Data Officers (CDO) o Head of Data (HoD) en el cumplimiento de su mandato. /li liDefinir roles y responsabilidades relacionados con el dato (data owner, steward, architect, …). /li liAlinear aspectos de la gestión y del gobierno de los datos con áreas de negocio, IT, seguridad y privacidad corporativas. /li liDefinir e implantar modelos para la gestión de la Calidad del Dato, Metadatos, Seguridad y Privacidad del dato. /li liDefinir e implantar iniciativas de gestión del cambio y de cultura de datos /li liDefinir políticas, procedimientos y estándares de gobierno del dato. /li liAsesorar y/o operar herramientas de soporte como por ejemplo Collibra, Purview, Informatica (IDQ/EDC/Axon), IBM InfoSphere o Alation. /li /ul h3bRequisitos /b /h3 ul liTienes un background en el ámbito IT (ingeniería informática, ingeniería de telecomunicaciones, ingeniería industrial, matemáticas) o de negocio (ADE). /li liTienes entre 2 y 5 años de experiencia en los aspectos detallados anteriormente. /li liTe comunicas y presentas resultados de manera eficaz en inglés y castellano. /li liEres una persona abierta, proactiva y comprometida con la ambición de crecer profesionalmente. /li liSe valorará tener experiencia gestionando equipos /li /ul /p #J-18808-Ljbffr

pJoin to apply for the strongIT Business Analyst /strong role at strongInetum /strong /pp3 days ago Be among the first 25 applicants /ppJoin to apply for the strongIT Business Analyst /strong role at strongInetum /strong /ppGet AI-powered advice on this job and more exclusive features. /ppstrongMissionbr/strongEstamos buscando un/a Especialista en Soporte de Aplicaciones Empresariales (BASS) para unirse a nuestro equipo. En este puesto, serás responsable de proporcionar soporte técnico de alta calidad a nuestros usuarios, asegurando el correcto funcionamiento de nuestras aplicaciones empresariales y contribuyendo a la mejora continua de nuestros servicios.brstrongFunciones Principalesbr/strongulliFamiliarizarse con las aplicaciones empresariales relevantes para el puesto. /liliSolucionar problemas relacionados con las aplicaciones. /liliConfigurar y mantener aplicaciones. /liliAplicar ITIL u otros marcos de gestión de servicios de TI. /liliImplementar y adherirse a las mejores prácticas de ciberseguridad. /liliComunicarse verbalmente y por escrito de manera efectiva. /liliProporcionar servicio al cliente y explicar problemas técnicos a los usuarios. /liliCapacitar a los usuarios y crear materiales de capacitación. /liliDocumentar y mantener registros precisos. /liliTrabajar eficazmente en equipo y de forma independiente. /liliResolver problemas y solucionar incidencias.brbr/li /ulstrongPerfilbr/strongstrongRequisitos Mínimosbr/strongulliExperiencia mínima de 3 años en soporte de aplicaciones empresariales. /liliNivel alto de inglés (C1) /liliConocimientos básicos de scripting (e.g., Python, PowerShell). /liliConocimientos básicos de análisis de datos y reporting. /liliConocimientos básicos de testing y control de calidad (QA). /liliConocimientos básicos de gestión de bases de datos. /liliOrientación al cliente. /liliComprensión de los procesos empresariales. /liliGestión del tiempo y priorización. /liliAdaptabilidad y agilidad de aprendizaje. /liliConocimientos de integración de sistemas.brbr/li /ulstrongRequisitos Deseablesbr/strongulliExperiencia de al menos 4 años en soporte de aplicaciones empresariales. /liliCertificación Scrum Master (PSM I). /liliCertificación ITIL.brbr/li /ulstrong¿Qué ofrecemos?br/strong Programa de formación por parte de la empresa para que puedas seguir desarrollándote y promocionar dentro del plan de carrera que existe para ti.brContrato indefinido y estabilidad.brRetribución flexible y más beneficiosbrFlexibilidad horaria.brModalidad de teletrabajo híbrida.brTe ofrecemos un entorno dinámico, en el que tu plan de carrera y crecimiento será nuestro objetivo.brBuen ambiente de trabajo, abiertos e inclusivos.br️ Formarás parte de un gran equipo de profesionales con inquietud y motivación por la tecnología.brstrongOrganizaciónbr/strongSobre Inetum,bremInetum es líder europeo en servicios digitales. El equipo de Inetum, formado por 28.000 consultores y especialistas, se esfuerza cada día por generar un impacto digital en las empresas, las entidades del sector público y la sociedad. Las soluciones de Inetum tienen como objetivo contribuir al desempeño y la innovación de sus clientes, así como al bien común.br/ememPresente en 19 países con una densa red de sitios, Inetum se asocia con los principales editores de software para afrontar los desafíos de la transformación digital con proximidad y flexibilidad.br/emem Top Employer Europe 2025 /em /ph3Seniority level /h3ullih3Seniority level /h3Mid-Senior level /li /ulh3Employment type /h3ullih3Employment type /h3Full-time /li /ulh3Job function /h3ullih3Job function /h3Information Technology /lilih3Industries /h3IT Services and IT Consulting /li /ulpReferrals increase your chances of interviewing at Inetum by 2x /ppGet notified about new Information Technology Business Analyst jobs in strongBarcelona, Catalonia, Spain /strong. /ppGreater Barcelona Metropolitan Area 13 hours ago /ph3Business Analyst (Reporting Analytics) /h3h3IT Business Analyst (Hybrid working model in Barcelona) /h3pGreater Barcelona Metropolitan Area 13 hours ago /ph3Business Analyst - ITSM Knowledge Manager (m/f/d) /h3h3Technical Business Analyst – MDM Governance (Informatica SME) /h3h3Business Analyst, Translation Services Operations /h3h3Snr Specialist, IT Business Analyst, Technical Design (Regulatory Affairs) /h3h3PRODUCT OWNERS Y BUSINESS ANALYST. ONSITE 80%. BARCELONA (ID) /h3h3Associate Director, Business Analyst, DDIT Dev., Technical Research Development (TRD) /h3h3Business Analyst IAM Compliance Audit Specialist (m/f/d) /h3h3Assoc. Director, Business Analyst, Technical Research Development (TRD) /h3pWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. /p #J-18808-Ljbffr

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

ppAgileEngine is an Inc. 5000 company that creates award‑winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people‑first culture has earned us multiple Best Place to Work awards. /p h3WHY JOIN US /h3 pIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! /p h3ABOUT THE ROLE /h3 pAs a bData Steward /b, you’ll own how product information moves from business teams to market—validating, enriching, and syndicating data through inRiver across every channel it touches. It’s a cross‑functional role with real breadth: resolving data gaps at the source, maintaining syndication templates, and keeping product data accurate and channel‑ready. /p h3WHAT YOU WILL DO /h3 ul liValidate product data across core systems to ensure completeness and accuracy. /li liUpload product data into PIM systems and resolve data gaps with stakeholders. /li liSupport business teams with product data issues across channels. /li liCommunicate data requirements to stakeholders to ensure data quality aligned with product launch timelines. /li liCreate, track, and report on product data and launch status. /li liMaintain and reconfigure syndication templates in inRiver. /li /ul h3MUST HAVES /h3 ul li3+ years of experience in data management. /li liUnderstanding of data lifecycle. /li liExperience using multiple tools for data management and stewardship. /li liExperience with inRiver or PIM tools (Salsify, Informatica, Akeneo). /li liExperience with PIM syndication for retailers or marketplaces. /li liProficiency in Excel. /li liAbility to work under tight deadlines. /li /ul h3PERKS AND BENEFITS /h3 ul liProfessional growth: Mentorship, TechTalks, and personalized growth roadmaps. /li liCompetitive compensation: USD‑based pay with education, fitness, and team activity budgets. /li liExciting projects: Modern solutions with Fortune 500 and top product companies. /li liFlextime: Flexible schedule with remote and office options. /li /ul /p #J-18808-Ljbffr

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

SlashMobility busca un Data Engineer para diseñar y mantener procesos ETL que impulsen decisiones estratégicas en clientes de gran tamaño.Tiene las cualificaciones y habilidades adecuadas para este trabajo? Descúbralo a continuación y pulse en "solicitar" para ser considerado.Trabajarás en un

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

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

ph3Overview /h3pIQUADRAT INFORMATICA SL busca 3 Fullstack Developers para incorporarse a su equipo de desarrollo. /ph3Modalidad de trabajo /h3pModelo híbrido con teletrabajo mayoritario. El día a día se desarrolla principalmente en remoto. /ph3Funciones principales /h3ulliDesarrollo fullstack de aplicaciones y plataformas tecnológicas. /liliParticipación en proyectos de I+D+i con foco en tecnologías digitales avanzadas. /liliColaboración con el equipo técnico en el diseño, implementación y despliegue de soluciones tecnológicas. /li /ulh3Titulación y requisitos /h3pTitulación: Grado universitario finalizado (Informática, Ingeniería de Software, Telecomunicaciones o similar). Las titulaciones extranjeras requieren homologación oficial aprobada por el Ministerio de Educación y Formación Profesional o el Ministerio de Universidades. /ph3Inscripción SEPE /h3pEstar inscrito como demandante de empleo en cualquier oficina del Sistema Nacional de Empleo, como mínimo un día antes de la contratación. /ph3Conocimientos valorados /h3ulliBases de datos SQL y/o NoSQL. /liliControl de versiones con Git. /liliMetodologías ágiles, CI/CD y tecnologías cloud. /li /ulh3Condiciones de contratación /h3pGrupo de cotización: 1-2 (Ingenieros / Ingenieros técnicos). /p /p #J-18808-Ljbffr

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

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

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

Data Engineer, SCOT Fulfillment Optimization When you order items on Amazon, there are practically thousands of ways we can fulfill that order. Which Fulfillment Center do we ship from, what carriers do we use, what boxes do we combine items in - now scale that question to billions of items shipped annually worldwide. At Amazons Supply Chain Optimization Technologies (SCOT), we are tasked with fulfilling every customer order in the most intelligent way possible while making sure customers get their orders on time. Within SCOT, the Fulfillment Optimization organization owns the artificial intelligence, optimization, and simulation systems that decide how Amazons outbound network is planned and operated. Our team is a new horizontal team responsible for the data foundations that power every Fulfillment Optimization product - from long-range planning to day-of execution. Our customers are the Applied Scientists, Business Intelligence Engineers, Data Scientists, and Software Development Engineers building those products, and the leaders who depend on trustworthy data to make multi-billion-dollar planning decisions. We are looking for a Data Engineer to help us build that foundation. You will work alongside more senior Data Engineers, Software Development Engineers, and Applied Scientists to design, build, and operate the data pipelines, models, and warehouses that our products and analytics depend on. You will take well-defined requirements, build a solution, and deliver it on schedule. You will learn the teams data architecture deeply, contribute to its evolution, and grow into an autonomous owner of significant pieces of it. This role is a great fit for someone who is excited about working with large-scale, complex data, who cares about getting the details right, and who wants to grow under the mentorship of an experienced data engineering team. Key job responsibilities Build and optimize physical data models and ETL pipelines for datasets that serve our products and analytics, using Amazons data platforms (Redshift, EMR, Spark, S3, Hive, etc.) • Take well-defined requirements from Data Scientists, Business Intelligence Engineers, and Software Development Engineers, and deliver tested, documented, and maintainable data solutions on schedule, • Troubleshoot, root-cause, and resolve issues in existing datasets and pipelines, leaving them better and easier to maintain than you found them, • Measure and improve dataset quality - completeness, freshness, correctness - and contribute to the teams monitoring and SLA framework, • Write secure, stable, testable, and well-documented code in SQL and Python (or Scala), and submit it for code review, • Classify, store, and handle data in accordance with Amazons security and privacy policies, • Participate in team design, scoping, and prioritization discussions learn the business context behind the teams data architecture and the products it supports • Collaborate with peers across Fulfillment Optimization and partner teams to integrate data sources and unblock downstream consumers A day in the life You will spend your day writing SQL and Python, designing tables and pipelines, reviewing teammates code, and pairing with data scientists and engineers to understand what they need from the data. You will start with well-scoped pieces of work - a new dataset, an optimization to an existing pipeline, an investigation into a data quality issue - and grow your scope as you build context. You will be supported by a team that values mentorship, code review, and writing things down. About the team The Fulfillment Optimization organization owns and operates the artificial intelligence, optimization, and simulation systems that plan and run Amazons outbound fulfillment network. The organization is spread across the United States and Europe and is multi-disciplinary - Research Science, Applied Science, Business Intelligence, Product Management, Data Engineering, and Software Development. Our team is a newly formed horizontal team responsible for the data foundations that all Fulfillment Optimization products and analytics depend on. Come join us as we build that foundation from the ground up. BASIC QUALIFICATIONS • Experience in data engineering, • Experience with data modeling, warehousing and building ETL pipelines, • Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala), • Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR, • Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. python, SQL, ETL, Scala

ph3About The Job /h3 pThe SimpliFi Data Pool is a central data repository hosted on Azure, designed to unify OE financial data and enhance cost efficiency. It serves as the primary source of accounting and reporting data, ensuring compliance with mandatory reporting requirements. The Data Pool is a key component of the SimpliFi program, integrated with SAP, providing a harmonized data model with Common Core components, including a globally harmonized Chart of Accounts and standardized accounting and reporting processes. /p h3What You Do /h3 ul liImplement data pipelines in line with established engineering standards — pipeline design patterns, naming conventions, and modelling approaches (e.g. Data Vault). Apply architecture decisions made at Lead level and translate them into working, maintainable solutions. /li liBuild and maintain end-to-end data pipelines across ingestion, transformation, and loading. In SimpliFi terms, this means developing and owning flows across Raw Data Vault, Business Data Vault, UJT, and CORE layers — working hands‑on with tools such as Databricks, Azure Synapse and IDMC. /li liResponsible for data quality within their pipeline scope — implementing checks, identifying issues early, and resolving them before they propagate downstream. Escalate systemic or cross‑domain issues to the Lead. /li liReview code from junior and mid‑level engineers, share best practices and contribute to raising team capability. Act as a day‑to‑day technical reference for less experienced colleagues. /li liWork alongside Data Modellers, MDM/RDM specialists, and IT component leads. Translate technical constraints and findings into clear inputs for planning and design discussions. /li liEnsure pipelines are built in line with data governance requirements — lineage, classification, and access controls. Support gate processes (e.g. DAB/CCP) by providing accurate technical evidence and documentation. /li liActively participate in sprint planning and delivery cycles — providing effort estimates, flagging technical dependencies, and keeping work moving within their delivery lane. /li /ul h3What You Bring /h3 ul liHands‑on expertise building and operating large‑scale pipelines — batch and streaming. Proficiency in tools like Apache Spark, Databricks and cloud‑native equivalents. Experience with ETL/ELT patterns at enterprise scale. /li liPractical experience with modern lakehouse/warehouse platforms — Databricks, Azure Synapse, or equivalents. Understanding of partitioning, clustering, query optimisation. /li liDeep working knowledge of at least one major cloud Azure — compute, storage, networking, managed services. In enterprise contexts like SimpliFi, Azure is typically dominant (ADLS, ADF, Azure Databricks). /li liSolid grasp of modelling paradigms — Medallion, dimensional (Kimball) and Data Vault 2.0. Ability to review and contribute to models, not just implement them. Know how to implement metadata capture, data lineage (e.g. via IDMC or Purview) and access controls. Experience navigating governance frameworks and gate processes. /li liStrong SQL (complex transformations, performance tuning), Python (pipeline logic, data quality scripts) and familiarity with PySpark for distributed workloads. Experience implementing DQ rules, profiling and monitoring — ideally with tools like DQX, Great Expectations. /li liUnderstanding of master and reference data flows — how golden records are created, maintained and consumed. Experience with platforms like SAP MDG or Informatica MDM is a strong plus. /li liCI/CD for data pipelines (GitHub Actions), version control discipline and infrastructure‑as‑code basics (Terraform). Able to read and contribute to architecture documents and understand layers, zones and data flow patterns across a platform. Can engage meaningfully with architects without needing hand‑holding. /li liFamiliarity with Machine learning is a strong advantage. /li /ul h3What We Offer /h3 ul liWe offer a hybrid work model recognising the value of striking a balance between in‑person collaboration and remote working, including up to 25 days per year working from abroad. /li liWe believe in rewarding performance; our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location). /li liFrom career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered. /li liFlexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that is unique. /li /ul h3Commitment to Integrity, Fairness Inclusion /h3 pAllianz Group is one of the most trusted insurance and asset management companies in the world. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations. /p /p #J-18808-Ljbffr

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

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

TRC busca instaladores/as de cableado estructurado, fibra óptica y electricidad en baja y media tensión en Barcelona.

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

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

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

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

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