Data Engineer, Semantics & Domain Models

Chain IQ; Lisboa; Presencial; EUR 45 000 - 65 000; Tempo integral

Resumo da oferta

A global procurement service partner in Lisbon is seeking a professional to define and maintain data models that reflect real workflows and business logic. The ideal candidate will have full professional fluency in English and experience with semantic engineering concepts. Responsibilities include collaborating with product and engineering teams to ensure data consistency. The company offers a dynamic international environment, encouraging innovation and high performance.

Qualificações

• Full professional fluency in English (written and spoken) is mandatory.
• 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.

Responsabilidades

• Define and maintain canonical domain entities such as suppliers and contracts.
• Build semantic datasets that reflect real workflows.
• Model relationships and hierarchies explicitly.
• Ensure consistent definitions across products and analytics.
• Support evolution toward graph-based use cases.
• Collaborate with teams to align data with system behavior.

Conhecimentos

Fluent English

Semantic engineering

Domain modeling

Data translation

Collaboration with teams

Attention to consistency

Descrição da oferta de emprego

A global procurement service partner in Lisbon is seeking a professional to define and maintain data models that reflect real workflows and business logic. The ideal candidate will have full professional fluency in English and experience with semantic engineering concepts. Responsibilities include collaborating with product and engineering teams to ensure data consistency. The company offers a dynamic international environment, encouraging innovation and high performance.