DATA ARCHITECT / DATA MODELER (HYBRID)

Portuguese company hires for hybrid work

Working Model: Hybrid / 60% Remote and 40% Presential

Location: Lisbon, Portugal / Candidates for this position must already be located in Portugal

Language Requirements: Fluent Portuguese / English B2

Seniority: more than 5 years

Sector: Energy

Instructions: Please send your CVs in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success.

We are looking as a Data Architect / Data Modeler, acting as the bridge between business and technical teams!You’ll collaborate with Product Owners, Data Architects, and Engineers to design robust data models that power ETL/ELT processes and analytics.

• Your Role
  
  

As a Data Modeler, you will act as the bridge between business requirements and technical design, collaborating closely with Product Owners, Data Architects, and Engineers. Your primary focus will be translating business needs into effective data models that support robust ETL/ELT processes and advanced analytics.

Key Responsibilities

• Design facts, dimensions, and KPIs within a DPaaS environment
• Develop logical and physical data models using PowerDesigner
• Identify data gaps, define data quality rules, and generate DDL scripts
• Support ETL teams by delivering model-driven structures and collaborating on source-to-target pipelines
• Work with integration tools such as Mitilian, Informatica, or SSIS as needed
• Your Profile / Must be clearly listed on your CV
  
  

You are a hands-on data professional with solid experience in data modeling and architecture, who thrives in roles combining technical and business perspectives.

Requirements

• Proven experience with PowerDesigner or similar data modeling tools
• Strong knowledge of data architecture, dimensional modeling, and data quality frameworks
• Familiarity with ETL concepts and pipeline design
• Proficiency in SQL and experience in DDL generation
• Comfortable collaborating with cross-functional teams in a hybrid technical/business environment
  
  

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