- Define and own the Group's target data architecture on Microsoft Fabric and other appropriate platforms- Personally build and maintain core Fabric artefacts, including pipelines, lakehouse structures, semantic models and reports- Lead migration from legacy, on-premise, single-vendor data setups to scalable, governed, cloud-native architecture- Represent data on the Group's Architecture Review Board and align AI and data initiatives to a single architectural direction- Establish the Group's first formal data governance framework, including data catalog, data quality rules, ownership/stewardship model, naming conventions and change/version control- Own the Group Master Data programme covering chart of accounts, cost centres, customers and products- Ensure compliance with GDPR and local data-protection requirements across jurisdictions- Take executive ownership of the Helix Fabric-based data platform programme- Own the programme roadmap, budget and prioritisation- Define and enforce group-first platform architecture principles- Manage external data, BI and Fabric delivery partners, including sourcing, RFQ/RFP management, contract negotiation and performance accountability- Run competitive vendor selection processes and conclude current data-services and data-foundation partnerships- Balance vendor delivery with sustainable internal capability building- Build the Group Data team, starting with the approved Data Analyst hire- Coordinate and integrate data-adjacent contributors into a coherent Group Data function- Establish working practices,



documentation and knowledge transfer- Partner with Finance and other business functions to translate reporting requirements into durable data architecture- Represent data topics in the Group AI & Data Council and ensure AI use cases use governed, trustworthy data- Build relationships with Regional IT leads and local stakeholders across Portugal, France, Ireland, Spain and Italy while driving convergence on group standardsRequirements- Hands-on experience in data architecture and engineering- Able and willing to personally build pipelines, data models and reports- Proven track record designing and implementing modern data architectures, including data lake / warehouse separation, lake-house or medallion patterns, and migration away from legacy on-premise ETL- Current, practitioner-level experience with Microsoft Fabric ecosystem (OneLake, Data Factory / pipelines, Power BI semantic models, Purview) or clearly transferable Azure Synapse / data platform experience- Demonstrated ownership of a data governance programme, including data catalog, data quality, master data management, and ownership/RACI frameworks; DAMA-aligned practice is a plus- Substantial experience managing external vendors and consultancies, including RFQs/RFPs, contract negotiation, and delivery accountability- Experience building or significantly growing a data team, including hiring, coaching and career development- Comfortable operating in a decentralised,



multi-entity, multi-ERP environment- Working knowledge of GDPR and data-privacy practice across multiple EU jurisdictions- Experience with financial or ERP-adjacent data is highly valued- Exposure to Business Central or comparable mid-market ERPs is highly valued- Prior experience in an industrial, manufacturing or engineering group is highly valued- Familiarity with data-foundation work for AI/ML use cases is highly valued- Fluent English and Spanish required- Working knowledge of French, Italian and/or Portuguese is an advantage- Based in Madrid, Spain- Occasional travel to Group sites in Portugal, France and Ireland may be requiredCore CompetenciesDemonstrates expertise in data architecture and engineering, with hands-on experience in building pipelines, data models, and reports using the Microsoft Fabric ecosystem. Proven ability to establish data governance frameworks and manage external vendors while building and leading a high-performing data team.Highest-signal resume keywords- Data Architecture- Microsoft Fabric Ecosystem- Data Governance Programme- Vendor Management- Team BuildingHard Skills- Data Engineering- Pipelines- Data Models- Data Lake/Warehouse Separation- Lake-House Patterns- ETL Migration- Master Data Management- Data Quality Rules- GDPR Compliance- AI/ML Data FoundationSoft Skills- Leadership- Collaboration- Communication- Negotiation- CoachingIndustry Keywords- Data Governance- DAMA- ERP- Financial Data- Manufacturing- EngineeringTools & Technologies- Microsoft Fabric- OneLake- Data Factory- Power BI- Purview- Azure Synapse#J-18808-Ljbffr

📌 Group Data Manager (Madrid)
🏢 Jobtailor
📍 Madrid