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Knowledge Graph Data Engineer


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    Tech Stack / Изисквания

    About us!

    Ontotext built GraphDB – one of the leading knowledge graph engines on the market.

    For over 20 years, we have also been delivering end-to-end knowledge graph-based solutions for many top-tier global organizations.

    We’re now searching for the right engineers to join us in getting to the next level of our software and methodologies for efficiently building knowledge graphs. If you are an experienced software engineer with a result-driven attitude, who is skilled in all things data, you might be the person we are looking for!

    Knowledge Graph Data Engineer – Position Overview

    In the role of a Knowledge Graph Data Engineer you will play an essential role in designing and building our next generation workflows for all the steps required for building a knowledge graph. Your work be instrumental for us scaling up and streamlining one of the hot AI topics nowadays – how explicit knowledge in the form of structured data, represented in knowledge graphs, can be combined with sub-symbolic systems, such as LLMs. We are also working to take this even one step further and, through focused research, lead in our field with innovations how both these technologies can be complementary by feeding into each other.


    Key Responsibilities

    – We will expect you to help us with designing and implementing our new toolkit for:

    – Semantic modeling, representation and visualization

    – Instance reconciliation between input data sets

    – Conversion of schemas (UML, XSD, JSON Schema) to semantic models

    – Mapping of instance data to a semantic model

    – Creation of data pipelines for conversion and integration of these data sets to RDF (ETL and NoETL)



    – The ideal profile we are seeking for this position would have:

    – A degree in Computer Science, Information Technologies, or a related field

    – Experience in delivering data solutions

    – Experience with various kinds of data and schemas (UML, XML, JSON, RDBMS, etc.)

    – Knowledge of scripting and programming languages, such as Java and/or Python

    – Knowledge of command line tools

    – Experience with ETL tools

    – Excellent written and verbal English skills

    – Experience with semantic technologies and knowledge graphs, though optional, would be a plus.


    We offer:

    – Common sense-driven organizational culture, in which shall you have constructive input, your voice will be heard (i.e. chance to make a difference!)

    – Exposure to the newest technologies in the AI and knowledge graphs space

    – Opportunity to work in a team of smart and talented professionals, who are happy to share their knowledge



    Our benefits are intended to make all of us feel good and protected at work. They also reflect our belief that a healthy work-life balance is a key driver of efficiency.

    – 25 days paid vacation + bonus days;

    – Annual bonus opportunity up to 20%;

    – Additional health insurance;

    – Flexible working hours;

    – Hybrid work (from anywhere);

    – Integration and team building events;

    – Personal training, onboarding and development plan and opportunities;

    – Birthday and newborn baby vouchers;

    – Referral bonus

    – Multisport card

    – Time off for graduation

    – Annual medical exams

    – Voluntary work and Take care leave

    – Relax area and Massages at the office

    – Fresh fruits, hot and cold drinks at the office


    Join us in democratizing the access to interoperable data by building state-of-the-art solutions using knowledge graphs!