Data Engineer Consultant

Inetum2; Lisboa; Presencial; EUR 95 000 - 130 000; Tempo integral

Resumo da oferta

Inetum2 is seeking an experienced Data Engineer consultant to design and govern end-to-end data architectures across ingestion, processing, storage and consumption. You will define data models for data warehouses, data lakes, and lakehouses, and shape architectures for analytics platforms.

Responsibilities include evaluating technology options, guiding trade-offs, embedding data governance, and ensuring security, performance and cost efficiency.

Qualificações

• Minimum 15 years of professional IT experience in data architecture and complex data solution design.
• Advanced knowledge of relational and NoSQL databases, data modelling, and Big Data tech.
• Experience with Azure, AWS or Google Cloud.
• Strong ability to analyse requirements, trade-offs and make autonomous architectural decisions.
• Fluent in English and Portuguese with strong written and verbal skills.

Responsabilidades

• Design scalable, secure end-to-end data architectures aligned with requirements.
• Define models and architectures for Data Warehouses, Lakes, Lakehouses and analytics platforms.
• Develop data integration approaches covering ETL/ELT, batch, streaming, APIs and event patterns.
• Evaluate alternatives, document trade-offs, and guide decisions via ADRs.
• Embed governance, data quality, lineage, metadata and security into architecture.
• Provide governance and technical guidance to architects and engineers.
• Produce architecture documentation and communicate recommendations to stakeholders.

Conhecimentos

Data architecture

Data governance

Cloud platforms

SQL & NoSQL

ETL/ELT design

ADR documentation

Architectural leadership

Communications in ENG/PT

Energy & Utilities domain knowledge

Formação académica

Degree in Computer Engineering or Software Engineering

Ferramentas

Azure

AWS

Google Cloud

Descrição da oferta de emprego

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.