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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📌 Group Data Manager (Madrid)
🏢 Jobtailor
📍 Madrid