Company Description

At T-Systems, you will find groundbreaking projects that contribute to social and ecological well-being. We want to welcome new talents like you, who bring fresh ideas, different perspectives, embrace challenges, and are committed to continuous learning in order to grow and make an impact on society... all in a fun way!

It doesn't matter when or where you work. It's about doing meaningful work that advances society. For this reason, we will do everything possible to ensure that you have all the development opportunities by providing a support network, excellent technology, a new work environment, and the freedom to work autonomously. We support you in growing both personally and professionally so that you can make a notable impact on society.

T-Systems is a team of around 28,000 employees worldwide, making us one of the leading global providers of end-to-end integrated solutions. We develop hybrid cloud solutions, artificial intelligence, and drive the digital transformation of companies, industries, the public sector, and ultimately, society as a whole.

Job Description

Role Overview

We are looking for an experienced Knowledge Graph expert to support the evaluation and potential adoption of a graph-based solution within a complex enterprise environment. The engagement will focus on requirements refinement, solution assessment, and proof-of-concept guidance.

Key Responsibilities

• Support definition of functional and technical requirements for a KG platform

• Translate business and operational use cases into graph data models

• Contribute to evaluation of shortlisted open-source and proprietary KG solutions

• Design and advise on proof-of-concept implementation

• Assess architecture, scalability, integration, and operational aspects

• Provide structured comparison and recommendation framework

Required Experience

• Strong hands-on experience with graph technologies (RDF/SPARQL and/or LPG/Cypher/Gremlin)

• Solid background in data modeling and schema/ontology design

• Experience evaluating enterprise-grade data platforms

• Ability to work across architecture, data engineering, and business stakeholders

• Prior consulting or advisory experience preferred