Knowledge Graph Expert - Ontology and Semantic Modelling (m/f/d)

Siemens Mobility; Lisboa; Híbrido; EUR 55 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Belong & Innovate

Hybrid model & flexible hours

Health insurance

Learning & development

Sustainability & shuttle service

Resumo da oferta

Siemens Global Business Services (GBS) in Lisbon seeks a Knowledge Graph Expert to turn fragmented business knowledge into structured, machine-readable ontologies and graphs for AI and automation. You will work directly with business experts to capture how work happens and translate it into ontologies that delivery partners implement.

The role covers ontology design, knowledge graph delivery, and bridging business with engineering, including mapping SAP/Snowflake sources and maintaining quality

Qualificações

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Science, Computational Linguistics, or related field.
• 3-5 years of experience in data modelling, knowledge engineering, or semantic technologies.
• Hands‑on experience with ontologies and knowledge graphs: RDF, OWL and SPARQL, and/or property graphs such as Neo4j and Cypher.
• Strong conceptual and logical modelling skills, working from unstructured, inconsistent or undocumented sources.
• Working knowledge of SQL and scripting language, preferably Python.
• Ability to explain models to non‑technical stakeholders and to hold a room in a workshop.
• Fluency in English.

Responsabilidades

• Capturing & Interpreting Business Knowledge and collaborating with subject-matter experts to elicit rules and vocabulary.
• Design domain ontologies and harmonise terminology across regions and systems.
• Model and deliver knowledge graphs, map source systems (SAP, Snowflake) to semantic models, and validate usefulness.
• Prepare implementation-ready specifications, rules and test scenarios for delivery teams.
• Bridge business and technical teams, validating that builds reflect business intent.

Conhecimentos

Ontologies & knowledge graphs

SQL

Python scripting

Stakeholder communication

Formação académica

Bachelor’s or Master’s in Computer Science / Data Science / Information Science

Ferramentas

Neo4j

Cypher

SPARQL

Descrição da oferta de emprego

Knowledge Graph Expert - Ontology and Semantic Modelling (m/f/d)

516955

04-Sep-2026

Global Business Services

Information Technology

Mid-level Professional

Create a better #TomorrowWithUs

Siemens Global Business Services (GBS) enables Siemens units worldwide and external customers to accelerate their business transformation into a sustainable and digital future.

Our portfolio comprises services driven by expertise and the latest technology - with a strong focus on innovation and digitalization in areas like Finances, Business Administration, Human Resources, Procurement, Sales and After-Sales.

In our GBS Western Europe and Africa Hub we are already more than 1500 connected people, from over 50 different nationalities spread across 14 countries. If you value diversity and innovation, you’ll feel right at home here!

GBS Digital Solutions (DS) co-create state-of-the-art solutions to boost digital business value with innovative technology and a powerful partner ecosystem. Our digital service portfolio covers: Digital Advisory Services, Business Process Management, Integration Layer, GenAI and Agentic AI, Advanced Analytics, Robotic Process Automation and Tech Operations.

Are you ready to be part of the change? Come join us!

Your mission will be…

As a Knowledge Graph Expert in GBS Digital Solutions, you will turn fragmented business knowledge into structured, machine-readable models that AI and automation can execute reliably. You will work directly with business experts to capture how work really happens, translate it into ontologies and knowledge graphs, and make sure the meaning holds when delivery partners implement it. The Knowledge-to-AI service is in ramp-up, so you will help shape the approach as much as apply it.

Key Responsibilities

• Capturing & Interpreting Business Knowledge
• Engage with subject-matter experts across finance, compliance and operations to elicit business rules, exceptions and the vocabulary teams actually use - including where nothing has been written down.
• Contribute to and facilitate workshops that turn process-mining insights and expert knowledge into agreed, documented business logic.
• Ontology & Semantic Modelling
• Design domain ontologies - entities, relationships, hierarchies and constraints - reusing and extending standard and Siemens-internal ontology assets rather than starting from scratch.
• Harmonise terminology across regions and systems, so that local variants become mappings onto a shared model instead of separate solutions.
• Knowledge Graph Design & Delivery
• Assist in modelling and building knowledge graphs, mapping source systems such as SAP and Snowflake onto the semantic model and validating that the graph answers the questions the business actually asks.
• Prepare implementation-ready specifications, rules and test scenarios for delivery teams, and maintain model quality, versioning, and documentation over time.
• Bridging Business and Technical Teams
• Act as the technical counterpart to implementation of partners and platform teams, validating that what is built still means what the business meant.
• Translate between business stakeholders and engineers and advise openly when a problem is better solved without an ontology.

We are looking for someone with…

Required:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Science, Computational Linguistics, or a related field.
• 3-5 years of experience in data modelling, knowledge engineering, or semantic technologies.
• Hands‑on experience with ontologies and knowledge graphs: RDF, OWL and SPARQL, and/or property graphs such as Neo4j and Cypher.
• Strong conceptual and logical modelling skills, working from unstructured, inconsistent or undocumented sources.
• Working knowledge of SQL and scripting language, preferably Python.
• Ability to explain models to non‑technical stakeholders and to hold a room in a workshop.
• Fluency in English.

Preferred:

• Experience reusing and extending standard ontologies (e.g. FIBO, P2P-O) and applying constraint languages such as SHACL.
• Experience in task/process mining tools like Celonis, SAP Signavio, Soroco, UiPath Process Mining, or similar platforms.
• Familiarity with semantic layer or conceptual modelling tooling (e.g. Ellie.ai, Snowflake Semantic Views, dbt), or with LLM applications grounded in knowledge graphs.
• Exposure to enterprise systems such as SAP, finance, procurement, or compliance processes.
• Experience in a consulting or business‑facing role.

What We Offer

• Belong & Innovate: Work in diverse teams where every idea matters and innovation grows through collaboration and trust.
• Flexibility that Works: Hybrid model, flexible hours, and a home office budget - because balance fuels performance.
• Health & Well-being: Comprehensive health insurance, mental health support, and active sports communities to keep you feeling your best.
• Grow Without Limits: Access world‑class learning platforms, mentoring, and continuous development opportunities.
• Purpose & Perks: Contribute to sustainability and volunteer initiatives, enjoy partner discounts, and take advantage of our convenient shuttle service.

#Siemens

Siemens is deeply committed to fostering a diverse and inclusive environment. We are proud to be an equal opportunity employer and strongly encourage applications from a wide array of talented individuals!