Data Engineer Consultant

Inetum Portugal; Lisboa; On-site; EUR 90,000 - 125,000; Full time

Job summary

Inetum Portugal is seeking an experienced Data Engineer consultant to design and govern complex, end-to-end data architectures. You will oversee ingestion, processing, storage, governance and consumption, guiding technical decisions across teams.

You will work with stakeholders to define data models for Data Warehouses, Data Lakes and Lakehouses, implement scalable patterns, and ensure security, GDPR compliance and cost efficiency.

Qualifications

• 15+ years IT experience with data architecture and complex data design.
• Degree in Computer or Software Engineering.
• Experience with relational and NoSQL databases and data warehouses.
• Cloud experience: Azure, AWS or Google Cloud.
• Strong data governance, security, GDPR knowledge.
• Leadership and ability to influence across teams.

Responsibilities

• Design scalable end-to-end data architectures.
• Define data models for Data Warehouse, Data Lake, Lakehouse.
• Design ETL/ELT, batch, streaming, CDC and APIs.
• Evaluate alternatives and document ADRs.
• Define reference architectures and standards.
• Embed governance, data quality, lineage, metadata management.
• Ensure performance, scalability, observability, cost optimisation.
• Provide architecture governance and guidance to teams.
• Document architecture and communicate to stakeholders.

Skills

Data Architecture

Solution Architecture

Data Governance

Cloud Platforms

Data Modelling

ADR Documentation

Leadership

Stakeholder Communication

Education

Degree in Computer Engineering or Software Engineering

Tools

Azure

AWS

Google Cloud

JIRA

Confluence

Job description

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.
• Strategic projects, Agile methodologies, JIRA and Confluence.
• Data architectures for Analytics, Machine Learning and AI.
• Portuguese and Spanish.

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