Application and Cloud Architect L9 - Deadline 03/02/26

Ability to perform Data Modelling and Data Analysis efficiently.

Ability to code in Python and or JavaScript.

Ability to cope with the fast-changing technologies used in Semantic Web and Interoperability.

Capability to write clear and structured technical documents.

Analysis and problem-solving skills.

Good communication skills with technical and non-technical audiences.

The following skills and knowledge are an advantage for the candidate:

Ontology languages (OWL, SHACL, etc.) and tools

RDF serialization formats (Turtle, JSON-LD, etc.)

Semantic data stores (Virtuoso, Apache Jena, Graph DB, etc.)

Linked Data principles and best practices. 

SPECIFIC EXPERTISE:

•      Software engineering in Python and/or JavaScript.

•      Data modelling, systems modelling and UML. 

•      Source control with Git. Experience with GitHub or GitLab CD/CI pipelines will be an advantage.

•      Translation of business requirements into technical specifications. 

•      Semantic Web technology stack: 

•      Formal Ontologies, OWL, SHACL

•      RDF data and data formats

•      RDF mapping and RML

•      SPARQL, triple stores and semantic search  

Proficiency in the following tools and processes is also required: 

•      Agile development and backlog/issue management 

(especially using GitHub Issues and Jira Issues)

•      Software lifecycle management.

•      Release management.

•      Software packaging and distribution

Level : 7 to 10

Delivery mode: Near Site (Luxembourg)

Deadline 03/02/26