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
Job Description
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.
Qualifications
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.
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