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Data Engineer Consultant

Inetum·Salary not specified

Nice to have's

AzureBigQueryAmazon RedshiftAgileJiraConfluenceAnalyticsMachine LearningAI

Job description

About the Position

We are seeking 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.

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 optimization 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.

Requirements

  • 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 modeling, 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 catalogs, Master Data Management, and GDPR.
  • Experience with reference architectures, technology standards, and Enterprise Architecture principles.
  • Ability to analyze 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.

Nice to Have

  • 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.

We Offer

  • Opportunity to work with a European leader in digital services.
  • Be part of a team that helps clients accelerate their digital transformation.
  • Competitive compensation package.

About the Company

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.

© Inetum. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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