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Aadorsys
Nürnberg, Germany8 months ago
Grade
Senior
Work format
Onsite, Remote
English level
B2, upper-intermediate
An email or a Telegram message to the recruiter
We are a diverse team of passionate software developers and architects who look beyond the horizon and are constantly evolving. As a Knowledge Engineer, you will be constantly in demand and develop within our organizational structure, able to contribute your ideas and grow rapidly professionally. In collaboration with our existing and new clients, we support a community of practice and foster a collegial corporate culture within the company in a dynamic team. Among our stakeholders are: project managers, product owners, business analysts, security engineers, operations teams, testing teams.
Development, operation, and continuous improvement of corporate knowledge graphs. Conceptualization and implementation of ontologies in the domains of taxation, law, and finance. Development of applications and services based on knowledge graphs. Integration and transformation of existing data silos into semantic data models. Development and implementation of quality assurance and validation methods, as well as modeling guidelines, best practices, and documentation for ontologies and knowledge graphs. Monitoring and optimization of query performance and system stability. Further development of corporate information governance through knowledge graph technologies. Coupling knowledge graphs with AI and LLM-based systems to support intelligent applications. Close collaboration within a team of data scientists, data architects, and MLOps specialists.
Excellent knowledge of the German language (spoken and written, level C1) and good knowledge of the English language. Deep practical experience with Semantic Web technologies (ontologies, RDF, SPARQL, SHACL). Many years of experience in developing and operating knowledge graphs or semantic data platforms. Excellent programming skills, preferably in Python and/or Java; other languages and ecosystems are also possible. Experience with libraries and frameworks from the Semantic Web area (e.g., RDFlib, RDF4J, Apache Jena). Experience with data engineering (ETL processes, Data Pipelines, e.g., RML, Kafka). Confident in databases, data modeling, and SQL. Experience in quality assurance, validation, and performance optimization of knowledge graphs (e.g., SHACL, Query Tuning).
Our clients and projects often use technologies such as Java / SpringBoot, JavaScript / TypeScript, Angular, KeyCloak, PostgreSQL, MongoDB, JMS, JSON, REST, Kafka, Quarkus, AWS, AZURE, GCP, Docker, K8S, Gitlab, Github, Maven, Terraform, Helm.
Development, operation, and continuous improvement of corporate knowledge graphs. Conceptualization and implementation of ontologies in the domains of taxation, law, and finance. Development of applications and services based on knowledge graphs. Integration and transformation of existing data silos into semantic data models. Development and implementation of quality assurance and validation methods, as well as modeling guidelines, best practices, and documentation for ontologies and knowledge graphs. Monitoring and optimization of query performance and system stability. Further development of corporate information governance through knowledge graph technologies. Coupling knowledge graphs with AI and LLM-based systems to support intelligent applications. Close collaboration within a team of data scientists, data architects, and MLOps specialists.
Excellent knowledge of the German language (spoken and written, level C1) and good knowledge of the English language. Deep practical experience with Semantic Web technologies (ontologies, RDF, SPARQL, SHACL). Many years of experience in developing and operating knowledge graphs or semantic data platforms. Excellent programming skills, preferably in Python and/or Java; other languages and ecosystems are also possible. Experience with libraries and frameworks from the Semantic Web area (e.g., RDFlib, RDF4J, Apache Jena). Experience with data engineering (ETL processes, Data Pipelines, e.g., RML, Kafka). Confident in databases, data modeling, and SQL. Experience in quality assurance, validation, and performance optimization of knowledge graphs (e.g., SHACL, Query Tuning).
We are a diverse team of passionate software developers and architects who look beyond the horizon and are constantly evolving. As a Knowledge Engineer, you will be constantly in demand and develop within our organizational structure, able to contribute your ideas and grow rapidly professionally. In collaboration with our existing and new clients, we support a community of practice and foster a collegial corporate culture within the company in a dynamic team. Among our stakeholders are: project managers, product owners, business analysts, security engineers, operations teams, testing teams. Our clients and projects often use technologies such as Java / SpringBoot, JavaScript / TypeScript, Angular, KeyCloak, PostgreSQL, MongoDB, JMS, JSON, REST, Kafka, Quarkus, AWS, AZURE, GCP, Docker, K8S, Gitlab, Github, Maven, Terraform, Helm.
Jennifer Düngfelder
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