Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Essity

Information Architect

Essity

. Design and maintain data models and information models .

Posted 10/23/2026full-timeLisbon • PortugalMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data modeling, information modeling, and semantic layers, ensuring data quality and consistency across systems while collaborating effectively with analytics teams and stakeholders. Proficient in translating business needs into clear data structures and contributing to data orchestration and information layer design.

Highest-signal resume keywords
Data ModelingInformation ModelingSemantic LayersData QualityData Engineering

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ModelingInformation ModelingData QualityData StructuresData RelationshipsAnalytical SkillsAttention to Detail
Soft Skills
Good Communication Skills
Tools & Technologies
DatabricksAzureFabricAirflowPurview
Industry Keywords
Data EngineeringAnalyticsData PipelinesKnowledge GraphsData Orchestration

Tech Stack

Tools & technologies
AirflowAzure

About the role

Key responsibilities & impact
  • Design and maintain data models and information models
  • Build and optimize semantic layers for analytics and reporting
  • Ensure data quality and consistency across systems
  • Work closely with data engineers to align data pipelines, data structures, and data consumption layers
  • Contribute to data orchestration and information layer design
  • Develop knowledge structures such as knowledge graphs
  • Translate business needs into clear data structures
  • Collaborate with analytics teams and stakeholders across Portugal, Germany, Sweden, and international regions
  • Report to the Director of Enterprise Information Management

Requirements

What you’ll need
  • Hands-on experience in data modeling, information modeling, and semantic layers
  • Experience in data engineering or analytics environments
  • Strong understanding of data quality, data structures, and relationships
  • Background as a Data Engineer or close collaboration with data engineering teams
  • Familiarity with Databricks, Azure, Fabric, Airflow, and Purview
  • Strong analytical mindset and attention to detail
  • Good communication skills
  • Fluent in English
  • CV must be delivered in English

Benefits

Comp & perks
  • Hybrid work arrangement
  • Flexibility to be based in Lisbon, Munich, Hamburg, or Gothenburg