Data Engineer - Semantics & Domain Models

Chain IQ Group AG; Lisboa; Presencial; EUR 40 000 - 60 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Great Place to Work-certified environment

Resumo da oferta

A leading procurement service partner in Lisbon seeks a candidate to define and maintain data models. Responsibilities include building semantic datasets and ensuring data consistency while collaborating across product and engineering teams. Candidates should possess fluency in English, experience with semantic engineering concepts, and the ability to translate complex business processes into structured data. Join a dynamic international environment that values innovation and impact.

Qualificações

• Full professional fluency in English is mandatory.
• Experience with semantic or analytics engineering concepts required.
• Strong understanding of domain modelling and data relationships is necessary.

Responsabilidades

• Define and maintain canonical domain entities like suppliers and contracts.
• Build semantic datasets reflecting real workflows.
• Collaborate with Product, AI, and Engineering teams.

Conhecimentos

Domain modelling

Data relationships

Collaboration

Semantic engineering

Attention to detail

Descrição da oferta de emprego

At Chain IQ, your ideas move fast.

Chain IQ is a global AI-driven Procurement Service Partner, headquartered in Baar, Switzerland, with operations across main centers and 16 offices worldwide. We provide tailored, end-to-end procurement solutions that enable transformation, drive scalability, and deliver substantial reductions in our clients' indirect spend. Our culture is built on innovation, entrepreneurship, ownership, and impact. Here, your voice matters—bold thinking is encouraged, and action follows ambition.

We are moving away from fragmented metrics and dashboard-specific logic toward a shared, semantic data foundation. This role focuses on defining what data means across the platform and ensuring consistency for applications, analytics and automated workflows.

This is a hands‑on role that sits close to product and engineering. You turn complex, real-world procurement processes into structured, understandable data models that scale.

Responsibilities

• 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
• Relationship‑aware modelling patterns
• Metadata, classification and descriptive attributes
• Consumers including applications, analytics and automated workflows

Requirements

• 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
• Interest in enabling automation and reasoning through better data design

Join a truly global team

We offer a dynamic and international environment where high performance meets real purpose. We're proud to be Great Place to Work-certified and even prouder of the people who make that possible. Let’s shape the future of procurement—together.

Chain IQ – Create. Lead. Make an impact.