Brainbox Consulting BV aligning great talent with clients’ needs is at the core of who we are. We are passionate about our Consultants, our Clients, and our Partners. Our rich IT legacy combined with our unyielding care for our people and business is the driving force behind all we do, and we deliver!
On this journey, we are looking for a Taxonomy Engineer who is also interested to take on a wide range of activities.
Context
The Knowledge Management (KM) Capability sits at the intersection of enterprise platform service design, semantic data engineering, and taxonomy governance for the organization.
As a Semantic/Knowledge Engineer, you will contribute to projects focusing on the design, creation, and deployment of knowledge models that translate business needs and domain expertise into machine actionable platform level services.
Primary responsibilities will include:
- Co-Designing the Enterprise Taxonomy
- Leading all aspects of Design, Publish & Maintenance of Enterprise Taxonomy Artifacts, Best Practices, Guiding Principles, Methodologies, and Standards
- Oversight of Client’s metadata assets, primarily taxonomy, ontology, and content data
- Supporting current semantic structures, such as multiple ontologies and knowledge graphs, though semantic modeling techniques
- Modeling metadata and ontology schema to develop new semantic representations for supporting recommendation functionality
- Working with internal teams to guide the development and usage of knowledge structures that enable actionable information to data consumers and applications
- Supporting current and establishing new ETL processing rules and data workflows to support and grow current infrastructure
- Collaborating with Product, Software Development and Content teams to support current and future API integrations for semantically enabled applications, including recommendation functionality.
- Working with domain and business experts to translate requirements into knowledge models that support machine decision making
Education and Experience
- Master’s in Information Science, Computer Science, Computational Linguistics, or related field
- Experience with developing and deploying controlled vocabularies, taxonomies, ontologies, or knowledge graphs within cloud-based architectures
- Knowledge/experience with some knowledge technologies like knowledge graphs, graph databases, text mining, NLP, ontology engineering, machine learning
- Ability to use graph technology such as RDF triple stores to support enterprise level data solutions
- Knowledge of designing and validating metadata models and frameworks for varied data and content types
- Knowledge of / experience with Progress Semaphore platform
- Expertise in text analytics and data analysis specifically related to unstructured data
- Experience working with content and domain experts to gather requirements
- Knowledge in agile process frameworks like Kanban and Scrum is an advantage
Required skills:
- Proficiency in SQL, SPARQL, RDFS, SKOS or additional query languages
- Demonstrates ability to construct and design ontologies that support knowledge graph deployment
- Competence in using Python libraries specifically focused on dealing with unstructured text data and knowledge mining
- Ability and willingness to learn new technologies and tools
- Capacity to work with Semantic Web Technologies
- Basic Natural Language Processing (NLP) skills
- Proficient knowledge of AWS or cloud-based environments
- Knowledge in data visualization tools/techniques
- Very strong social and communication skills – ability to present ideas clearly and with confidence across diverse settings and groups in the organization