Descripción de la oferta
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 standards
Requirements
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 required
Core Competencies
Demonstrates 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 Building
Hard 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 Foundation
Soft Skills
Leadership
Collaboration
Communication
Negotiation
Coaching
Industry Keywords
Data Governance
DAMA
ERP
Financial Data
Manufacturing
Engineering
Tools & Technologies
Microsoft Fabric
OneLake
Data Factory
Power BI
Purview
Azure Synapse
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