Luxembourg Institute of Science and Technology (LIST) - Avenue des Hauts-Fourneaux, Esch-Sur-Alzette, 4362, Luxembourg
The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies : https://www.list.lu/
The internship takes place within the development of a Local Digital Twin (LDT) platform aimed at supporting smart city applications. The platform integrates heterogeneous data sources (cadastral data, public datasets, weather services, traffic and environmental sensors, utility telemetry, etc.) into a common operational framework. This requires building robust data pipelines, event-driven infrastructures, and semantic interoperability mechanisms based on NGSI-LD and Smart Data Models.
The trainee will be exposed to state-of-the-art practices in data engineering, interoperability standards, and smart city digital twin applications, gaining hands-on experience in both back-end and full-stack development.
Responsabilitites :
· Develop and maintain data pipelines to integrate cadastral information, public datasets (e.g. data.public.lu), weather feeds, and sensor telemetry (traffic, gas, water, electricity, environment).
· Map heterogeneous datasets into a common structure, ensuring semantic interoperability using NGSI-LD and Smart Data Models
· Ensure data quality, consistency, and integrity across sources and operational databases.
· Apply good data management practices (metadata, documentation, versioning, validation).
· Contribute to the ingestion and processing of data into the LDT operational databases and event infrastructure.
· Develop new features related to dataset integration and management on the LDT platform (full stack).
Education
Master student in Computer Science or IT Engineering
Experience and skills
Knowledgeable in Python, JavaScript, SQL, ReactJS, Kafka, S3, Go, FAST API
Apply solid software engineering practices, including the ability to write unit tests and follow test-driven development (TDD) principles
Familiarity with version control systems such as Git (GitHub or GitLab), and knowledge of clean code principles, documentation, and debugging.
An understanding of CI/CD workflows will be considered an advantage
The internship requires autonomy, problem-solving abilities, and attention to detail, together with a genuine interest in data engineering, interoperability, and semantic data concepts (NGSI-LD, Smart Data Models).
A strong motivation to gain hands-on experience with data pipelines, operational databases, and event-driven architectures is also essential.
Language skills
Good command of English
An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects;
Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society;
Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations such as our Viswall, high-scale incubators and top of the range 3D/4D printings that are part of our toolkit for excelling in all we do;
Multicultural and international work environment with more than 45 nationalities represented in our workforce;
Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions;
Gender-friendly environment with multiple actions to attract, develop and retain women in science;
32 days’ paid annual leave for a full time internship, 11 public holidays per annum, flexible working hours,
An environment encouraging curiosity, innovation and entrepreneurship in all areas.
Apply online
https://www.list.lu/en/jobs/interns/
Your application must include a motivation letter oriented towards the position and detailing your experience
Application procedure and conditions:
We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.
LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, color, gender, sexual orientation, gender identity, marital status, religion, age, or disability.
Applications will be continuously reviewed until the position is filled. An assessment committee will thoroughly evaluate applications, adhering to guidelines designed to ensure equal opportunities. The primary criteria for selection will be the alignment of the applicant's existing skills and expertise with the requirements mentioned above.
InformationINT-2631- INTERNSHIP IN LOCAL DIGITAL TWINS DATA PIPELINES AND INTEROPERABILITY
Fixed-term contract
10/11/2025
Avenue des Hauts-Fourneaux
Full-time
