About the role

Data and Knowledge Engineer for the Sales Enablement Team at Graphwise. Curating and maintaining sales enablement content and collaborating on the Graphwise Knowledge Graph.

Responsibilities

The data and knowledge engineer's main responsibility is to select, create, curate and maintain sales enablement content in order to maximize the value of the organization's knowledge and with a priority goal of supporting the company's sales enablement initiatives.
In addition the data and knowledge engineer should help to curate and extend the Graphwise Knowledge Graph with a focus on the development of the taxonomies that are part of it.
In your role, you will collaborate with the Senior Solution Architect and the Full Stack Developer in the team to consistently further develop and improve our solution.
You will maintain the existing solution on a daily basis, and facilitate internal improvement requests and work with the team to steer towards reaching our strategic priorities and goals.
You will also work across teams especially with product and innovation to bring our feedback and learnings to the product team and incorporate new features of the product and findings of the innovation team.

At least 3 years of industry experience with responsibilities in at least one of the following areas: technical consulting, solution engineering, data engineering
Know-how and experience with data modelling and data engineering for heterogeneous sources, including APIs, document repositories, structured data, and unstructured content
Experience designing and maintaining ETL pipelines
Experience in solution development with the Semantic Web technology stack (RDF, SPARQL, OWL, linked data etc.) would be highly desirable
A sound technical background around software development, databases, software and system architecture
Proficiency in JavaScript and Python scripting languages, and experience with REST APIs and version control systems.
Knowledge and experience in requirements engineering, ability to translate business problems into technical requirements
Experience with modern AI technologies, in particular LLMs and RAG techniques
General skills: Strong troubleshooting / problem-solving skills
Ability to effectively and simultaneously manage work from multiple projects
An inquiring mind, intense curiosity, interdisciplinary awareness as well as a strong desire to innovate in/contribute to the areas of the Semantic Web, Linked Data and Knowledge Graph Systems
Project management experience is desirable
Excellent skills in both written and spoken English

A Career development path, through training, hands-on experience, time for innovation, and many more
A friendly and professional international team and working environment in a rapidly expanding tech and AI company
Exposure to the newest technologies in AI and knowledge graphs space
A workplace in an organization that is committed to sustainability and responsible business practices
Flexible working hours and benefits that reflect our belief that a healthy work-life balance is a key driver of efficiency
Invitation to company-sponsored social activities and additional team building activities throughout the year
A good work-life balance with the possibility to work from home up to 3 days per week and flexible working hours
And of course we offer free tea, coffee, fruit and snacks