Data Engineer: Semantics and Domain Models

Confidential; Lisboa; Presencial; EUR 45 000 - 65 000; Tempo integral

Resumo da oferta

Confidential is seeking a data modeling and analytics engineer to define canonical domain entities, build semantic datasets, and model relationships that reflect real workflows and business logic. You will ensure consistency across products, analytics and automation while designing patterns to link documents to structured data.

Collaborating with Product, AI and Engineering teams, you will help evolve toward graph-based and retrieval-driven use cases and contribute to cleaner dashboards and

Qualificações

• Experience with semantic or analytics engineering concepts.
• Strong understanding of domain modelling and data relationships.
• Ability to translate complex business processes into structured data.
• Comfort collaborating across product and engineering teams.
• Clear communication and attention to consistency and correctness.
• Interest in enabling automation and reasoning through better data design.

Responsabilidades

• Define and maintain canonical domain entities such as suppliers, contracts, risks and obligations.
• Build semantic datasets that reflect real workflows and business logic.
• Model relationships, hierarchies and time-based changes explicitly.
• Ensure consistent definitions across products, analytics and automation.
• Design patterns for linking documents to structured entities.
• Support gradual evolution toward graph-based and retrieval-driven use cases.
• Collaborate with Product, AI and Engineering teams to align data with system behavior.
• Help remove duplicated and inconsistent logic from dashboards and downstream tools.

Conhecimentos

Semantic engineering

Domain modelling

Data relationships

Cross-functional collaboration

Communication

Descrição da oferta de emprego

• Define and maintain canonical domain entities such as suppliers, contracts, risks and obligations
• Build semantic datasets that reflect real workflows and business logic
• Model relationships, hierarchies and time-based changes explicitly
• Ensure consistent definitions across products, analytics and automation
• Design patterns for linking documents to structured entities
• Support gradual evolution toward graph-based and retrieval-driven use cases
• Collaborate with Product, AI and Engineering teams to align data with system behavior
• Help remove duplicated and inconsistent logic from dashboards and downstream tools

What you will work with

• Semantic layers built on top of lakehouse data
• Domain-oriented datasets and views
• Metadata, classification and descriptive attributes
• Consumers including applications, analytics and automated workflows

Requirements

• Experience with semantic or analytics engineering concepts
• Strong understanding of domain modelling and data relationships
• Ability to translate complex business processes into structured data
• Comfort collaborating across product and engineering teams
• Clear communication and attention to consistency and correctness
• Interest in enabling automation and reasoning through better data design