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Job description
What will you be doing? As a Senior Software Engineer, you will primarily work within the context of European-funded projects such as EOSC Data Commons. You will lead tasks and work packages focused on research data infrastructure, metadata quality and FAIR assessment, and metadata services within the EOSC Federation.
Your responsibilities will include:
- Designing and developing software tools and applications to support FAIR data access, metadata harvesting, and data quality assessment.
- Designing, building, deploying and maintaining RESTful web-services in Python (e.g. FastAPI).
- Building and maintaining container-based back- and front-end components using Python and JavaScript.
- Managing data structures across various database systems: relational (PostgreSQL) and triplestores (e.g. GraphDB, Fuseki).
- Contributing to technical innovations in Linked Data, workflow orchestration, application containerization, and CI/CD pipelines.
- Collaborating with international partners in EU-funded EOSC initiatives, including projects such as Data Commons and EDEN to design, develop, and integrate interoperable software components supporting federated open science infrastructures.
- Leading project work packages, monitoring progress and milestones, ensuring the timely delivery of project deliverables, and contributing to reporting and dissemination tasks.
- Working with the open-source Dataverse repository software, and interact with the APIs from platforms such as DataCite, OpenAIRE, 4TU.ResearchData and Skosmos.
- Representing DANS in national and international project meetings and maintaining strong stakeholder relationships.
Requirements
You hold a master's degree in a relevant field (e.g. computer science, engineering). You have a minimum of five years of experience in both software engineering and project-based work in international research environments.
In addition, you will bring the following knowledge and skills:
- Proven experience in software development with Python and JavaScript.
- Experience with version control systems such as Git and GitHub.
- Experience with containers, cloud deployment, and HPC environments.
- Experience with structured and semantic data models and technologies, including RDF, SKOS, SHACL, and SPARQL, as well as knowledge representation.
Are considered a plus:
- Experience in leading tasks or work packages in EU-funded projects.
- Affinity with open science, FAIR data, metadata standards, and research data infrastructures (e.g. EOSC, European Data Spaces).
- Must be fluent in English; understanding of Dutch is a plus.
Benefits & conditions
Depending on education and experience, the salary ranges from € 4.728, -- to a maximum of € 7.297, -- gross per month for a fulltime employment (scale 11-12 of the collective labour agreement Dutch Universities/KNAW). This is exclusive of 8% vacation allowance, 8.3% year-end bonus, travel allowance, internet allowance, home working allowance and pension accrual with ABP. This is a fixed-term employment contract until 31 December 2028 due to temporary project funding. Pending further project funding, an extension is possible.
The KNAW offers its staff an excellent package of secondary benefits. A package that meets the different needs of employees depending on their stage of life, lifestyle, or career ambitions. For example, by working an extra two hours a week, it is possible to increase the number of days off from 29 to 41 days a year (with fulltime employment).