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Knowledge & Semantics Engineer d/f/m

RWE AG -
Essen

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Details zur Stelle

Vollzeit
vor 4 Tagen

Leistungen

Kostenloser Parkplatz

Qualifikationen

CI/CD
Informatik
SPARQL
Master
SQL
C
Neo4j
Erfahrung in der IT
GraphQL
Künstliche Intelligenz
Wirtschaft
Graphdatenbanken
Python

Vollständige Stellenbeschreibung

Knowledge & Semantics Engineer d/f/m

Location(s):

RWE AG
To start as soon as possible, full time / part time, permanent

As a hands-on Knowledge & Semantics Engineer you build and operate the layer that gives our AI and agents context. You will engineer the knowledge graphs, semantics and retrieval that agents reason over, turning domain know-how into reliable, governed context.

About the role

Build and operate knowledge graphs and the semantic layer across domains, federated but interoperable, from modelling through to running pipelines.
Implement master data management and business-rule logic, and maintain the ontology and shared semantics that connect domains.
Engineer and optimise RAG and retrieval solutions, including chunking, embeddings, indexing, grounding, and evaluation, to deliver accurate, explainable, and reliable AI outcomes.
Expose knowledge to agents as reliable, governed context and callable tools, including via MCP.
Automate knowledge-curation pipelines and quality checks, and catalogue knowledge assets to avoid fragmented, unmanaged stores.
Work with business experts to capture domain know-how and turn it into reusable knowledge products.

Job requirements and experience

University degree (or equivalent) in Computer Science, Computer Engineering, Information Technology or related field.
Hands-on working experience in handling data modelling and understanding of Data ecosystems.
Skills in building knowledge graphs and semantic models, with graph / semantic tooling (e.g. Stardog, Neo4j or similar) and query languages (SPARQL, Cypher or GraphQL).
Skills in RAG engineering for LLMs and agents: embeddings, vector stores, retrieval pipelines, grounding and evaluation.
Know How of Master data management and ontology / taxonomy modelling (e.g. SAP MDG or equivalent).
Strong data engineering foundations: Python, SQL, pipelines and CI/CD.
The ability to translate business meaning into working technical implementation, and to elicit know-how from domain experts.

Advantageous, but not essential

Experience grounding agents or LLM applications in enterprise knowledge at scale.
Familiarity with MCP and modern agent frameworks.

RWE is committed to creating a diverse and inclusive environment – we value your passion, your willingness to learn and your desire to thrive. So, if you don’t display all the skills above but think this is the job for you, need flexible working arrangements or adjustments which aren’t outlined already, we would still like to hear from you.

Your benefits

Independent work on exciting and responsible tasks.
Close collaboration in a motivated team with an open feedback culture that promotes your personal and professional development.
Insights into a global energy company.
Hybrid working and flexible working time models.
Free access to the Health Center, modern open workspaces, free parking, e-charging stations and much more.

Apply with just a few clicks: ad code 93029 , application period: 03.08.2026
Any questions? Contact HR: HR Services RWE Core, Recruiting Services, +49 201 5179-9050

We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too.

We value diversity and therefore welcome all applications - regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity. #inclusionmatters

For over 125 years, RWE has been reliably supplying electricity. Our team of around 20,000 people is shaping the energy world of tomorrow. Today, RWE is one of the world's leading renewable energy companies. With our growth strategy we are setting the pace and investing billions of euros every year – above all in the expansion of offshore and onshore wind, solar energy and battery storage. Our diverse portfolio is perfectly complemented by our global energy trading business. With our mix of renewable and flexible generation, as well as a broad pipeline of new-build projects, we are well positioned to meet the growing global demand for electricity, particularly driven by further electrification and artificial intelligence. At the same time, we are contributing to the decarbonisation of the energy system. The reduction of our carbon emissions is in line with the 1.5°C climate goal of the Paris Agreement, and we are phasing out coal responsibly by 2030. By 2040, RWE aims to achieve net-zero, fully embracing our purpose ‘Our energy for a sustainable life’.

More insights

From here, we energise the future. Also together with you?

Find out more about the impact we make at RWE.

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