Data Engineer Consultant

Inetum is a European leader in digital services, supporting organizations as they navigate continuous technological change. The company helps clients accelerate their digital transformation through a broad portfolio that includes consulting, application services, digital engineering, cloud, cybersecurity, platforms, and infrastructure services We are looking for an experienced Data Engineer consultant to design and govern complex, end-to-end data architectures. The role covers data ingestion, integration, processing, storage, governance and consumption, with responsibility for evaluating architectural alternatives and guiding technical decisions. Main Responsibilities - Design scalable, resilient and secure end-to-end data architectures aligned with business, functional and non-functional requirements. - Define data models and architectures for Data Warehouses, Data Lakes, Lakehouses and analytical platforms. - Design data integration approaches covering ETL/ELT, batch, streaming, CDC, APIs and event-driven patterns. - Evaluate architectural and technology alternatives, document trade-offs and decisions through ADRs or equivalent mechanisms. - Define and evolve reference architectures, blueprints, standards and data architecture principles. - Embed Data Governance, Data Quality, Data Lineage, Metadata Management, Data Catalog, Master Data Management, security and GDPR considerations into architecture. - Address performance, scalability, availability, recoverability, observability and cost optimisation requirements. - Provide architecture governance and technical guidance to architects, data engineers and implementation teams. - Produce architecture documentation and communicate recommendations to technical and business stakeholders. - Minimum 15 years of professional IT experience, including proven experience in Data Architecture, Solution Architecture and complex data solution design. - Degree in Computer Engineering, Software Engineering or a related field. - Advanced knowledge of relational and NoSQL databases, data modelling, Data Warehouse, Data Lake, Lakehouse and Big Data technologies. - Experience with Azure, AWS or Google Cloud. - Strong experience with data integration architectures and patterns. - Solid knowledge of data governance, security, quality, lineage, metadata, data catalogues, Master Data Management and GDPR. - Experience with reference architectures, technology standards and Enterprise Architecture principles. - Ability to analyse complex requirements, evaluate trade-offs and make architectural decisions autonomously. - Technical leadership and the ability to influence architectural decisions across multidisciplinary and global teams. - Knowledge of the Energy & Utilities sector. - Strong written and verbal communication skills in English and Portuguese.Additional Valued Experience - Microsoft Fabric, Azure Databricks, Azure Synapse, BigQuery or Amazon Redshift. - Strategic projects, Agile methodologies, JIRA and Confluence. - Data architectures for Analytics, Machine Learning and AI. - Portuguese and Spanish.