Data Engineer Consultant

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.
• Portuguese and Spanish.

Remote Work :

No

Employment Type :

Full-time