Data Engineering and Architecture - 6-Month Internship
Esch-sur-Alzette Internship Junior Data Engineering
At a glance
Junior Data Engineering role at Lnds. Esch-sur-Alzette · internship.
Pay not stated Data Engineering salary
RoleData Engineering
SeniorityJunior
LocationEsch-sur-Alzette
EmploymentInternship
PostedSep 25, 2026 · 4w ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Help develop an AI-based semantic mapper that searches existing SKOS mappings for possible matches
- Support checks that align differences in meaning and concepts before people review proposed changes
- Help draft an initial Data Contract using an LLM
- Contribute to adding admissible terms to the data vocabulary
What you bring
- You understand metadata standards and have some familiarity with Python
- You can write clear, concise, well-structured English and communicate effectively
- You have basic experience with a documentation tool; Markdown is useful
- You are interested in software development practices and version control, such as Git
Who this fits
This six-month internship suits someone curious about open data ecosystems, metadata governance and trying new AI tools. Familiarity with SPARQL, JSON-LD, Linked Data, ontologies or semantic web technology is an added advantage. The role is based in Esch-sur-Alzette, Luxembourg.
From the employer
Luxembourg National Data Service (LNDS) is a brand of PNED G.I.E. an organisation created by the Luxembourg Government, to implement Luxembourg’s strategies in research, innovation, and digitalisation. LNDS enables value creation from secondary use of data, for public and private partners and supports the sharing and re-use of public sector data, in a trustable manner. The LNDS service portfolio includes know-how, capabilities, tools, infrastructure, and data services. Through efficient & responsible use of data and improving the secondary use of data, LNDS will support the acceleration of economic, ecological, and societal transitions.
You will support an AI-plugged data space ecosystem project.
Context and motivation: the Data Space Support Centre (DSSC) coordinates the development of European data spaces and defines which standards a data space should use for interoperability, trust, and governance. This project intends to enable semantic and conceptual interoperability jobs by delegating to an LLM the task of checking for mappings of meanings and concepts, aligning semantic discrepancies framed as proposals or assertions before the final human review, and accepting a new, admissible data vocabulary enrichment. The AI semantic mapper automatises the search for plausible candidates across existing SKOS mappings. LLM is also involved in drafting the first-pass Data Contract.
Context and motivation: the Data Space Support Centre (DSSC) coordinates the development of European data spaces and defines which standards a data space should use for interoperability, trust, and governance. This project intends to enable semantic and conceptual interoperability jobs by delegating to an LLM the task of checking for mappings of meanings and concepts, aligning semantic discrepancies framed as proposals or assertions before the final human review, and accepting a new, admissible data vocabulary enrichment. The AI semantic mapper automatises the search for plausible candidates across existing SKOS mappings. LLM is also involved in drafting the first-pass Data Contract.
- Understanding of metadata standards
- Familiarity with Python
- Curiosity about open data ecosystems and metadata-driven data governance
- Basic familiarity with any documentation tool (Markdown a plus)
- Interest/knowledge in software development processes, version control systems (e.g., Git)
- Eager to use new AI tools, and to test edge concepts gmail
- Strong plus: Familiarity with:
- SPARQL, or JSON-LD for metadata manipulation and validation
- Linked Data, ontologies or semantic web technologies
- Strong written and communication skills in English
- Ability to write clear, concise, well-structured content
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