adorsys

Knowledge Engineer

adorsys

full-time

Posted on:

Location Type: Remote

Location: Germany

Visit company website

Explore more

✨ AI Apply
Apply

Tech Stack

ApacheETLJavaKafkaPythonSQL

About the role

  • Development, operation and continuous further development of enterprise-wide knowledge graphs
  • Design and implementation of ontologies in the domains of tax, law and finance
  • Development of knowledge-graph-driven applications and services
  • Integration and transformation of existing data silos into semantic data models
  • Development and establishment 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
  • Advancing company-wide information management through knowledge-graph technologies
  • Connecting knowledge graphs to AI- and LLM-based systems to support intelligent applications
  • Close collaboration within a team of Data Scientists, Data Architects and MLOps engineers

Requirements

  • Very good German language skills (C1) in spoken and written form, and good English skills
  • Extensive practical experience with Semantic Web technologies (ontologies, RDF, SPARQL, SHACL)
  • Several years of experience in developing and operating knowledge graphs or semantic data platforms
  • Strong programming skills, preferably in Python and/or Java; other languages and ecosystems are also possible
  • Experience with Semantic Web libraries and frameworks (e.g. RDFlib, RDF4J, Apache Jena)
  • Experience in data engineering (ETL processes, data pipelines, e.g. RML, Kafka)
  • Confident handling of databases, data modeling and SQL
  • Experience with quality assurance, validation and performance optimization of knowledge graphs (e.g. SHACL, query tuning)
Benefits
  • Innovative, modern and challenging working environment with flat hierarchies and the opportunity to contribute your individual strengths
  • Long-term career prospects
  • Attractive compensation
  • Flexible working hours and home office
  • Modern workplaces in cool offices where we also care about your health, e.g. ergonomic chairs, height-adjustable desks and fresh fruit
  • High-quality hardware of your choice
  • Annual training budget that you can shape yourself (from specialist seminars to participation in international conferences)
  • Numerous benefits: VGN company subscription (subsidy for public transport), JobRad (company bike), childcare allowance, Corporate Benefits (shopping discounts), sports discounts (e.g. Compustore, Urban Sports) and more
  • Subsidy for company pension scheme / capital-forming benefits (VWL)
  • Beverages, muesli, fruit at the workplace
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Semantic Web technologiesontologiesRDFSPARQLSHACLPythonJavaETL processesdata pipelinesSQL
Soft Skills
collaborationcommunicationteamworkproblem-solving