Fixed term contract | 24 months | Belval Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a leading Research and Technology Organisation (RTO) that drives innovation for the economy and society in Luxembourg and beyond. With cutting-edge expertise in Natural, Built, Industrial environments, Space, AI, Security and defence technologies. LIST bridges scientific excellence and applied research to design solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? Contributing to multiple R&D projects in the AIRA team, an R&T Engineer position is opened to act as the key DataOps/Data Engineering contributor, designing, developing, and maintaining robust data pipelines that transform heterogeneous, experimental, and often unstructured data into structured, reliable, and research-ready assets. Your work will directly enable high-quality analytics, Digital Twin development, and AI evaluation activities. Is Your profile described below? Are you our future colleague? Apply now! Your duties may include:
- Data Platform & Lakehouse Engineering: Contribute to the design, evolution, and operation of a data lakehouse architecture based on Apache Iceberg, Trino/DuckDB, Airflow, and Superset, ensuring scalability, reliability, and performance across multiple R&D projects.
- Data Pipeline Development & Orchestration: Design, implement, and maintain automated, testable, and reusable data pipelines for ingestion, transformation, and serving of experimental and research data.
- DataOps & Reproducibility Practices: Establish and promote DataOps best practices, including CI/CD for data workflows, automation, infrastructure standardization, dataset versioning (e.g., Iceberg time travel, DVC), and reproducible research pipelines.
- Data Modelling & Performance Optimization: Develop and maintain analytical data models within the lakehouse environment, optimizing storage formats, partitioning strategies, and query performance to support analytics, Digital Twins, and AI assessment.
- Data Quality, Observability & Governance: Implement data quality controls, monitoring, and validation mechanisms. Contribute to governance standards ensuring data integrity, security, and compliance across projects.
- Metadata & Lineage Management: Contribute to the evaluation and implementation of metadata and data lineage solutions, defining standards for dataset documentation, cataloguing, and traceability. Expertise in metadata frameworks and lineage tooling is considered a strong asset.
- Research Enablement & Knowledge Sharing: Support researchers in adopting standardized, data-driven workflows. Document platform architecture, data standards, and operational procedures to ensure sustainable knowledge transfer within the team. Education
- Master's degree or equivalent studies in Computer Science, Data Science or a related engineering field. Experience and skills
- At least 3 years of experience in RDI or high-level systems engineering.
- Strong programming skills in Python
- Demonstrated success in managing tasks within collaborative RDI projects of moderate scope.
- Strong capacity for abstraction, reasoning, and structured problem-solving.
- Demonstrated ability to collaborate across diverse, multicultural teams and translate between technical and organizational contexts To access this job, you should have demonstrated to:
- Design and operate modern data platforms: Proven experience with data lake or lakehouse architectures (ideally Apache Iceberg or similar), distributed query engines (e.g., Trino, DuckDB, Spark), and workflow orchestration tools (e.g., Airflow).
- Develop production-grade data pipelines: Strong skills in building automated, testable, and maintainable data ingestion and transformation pipelines using Python and SQL.
- Apply DataOps and reproducibility practices: Experience with CI/CD for data workflows, Git-based version control, dataset versioning, and automation to ensure traceability and reproducibility.
- Ensure data quality and governance: Practical experience implementing data validation, monitoring, metadata management, and governance standards in collaborative environments.
- Model and optimize analytical data structures: Ability to design efficient data models and optimize storage formats, partitioning strategies, and query performance for analytics and AI workloads.
- Collaborate in interdisciplinary R&D environments: Ability to work autonomously while interacting effectively with researchers, data scientists, and software engineers, translating research needs into robust data solutions. Language skills
- Fluency in English both oral and written. Other relevant languages are an asset. Your LIST benefits
- 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 in all that we do
- An environment encouraging curiosity, innovation and entrepreneurship in all areas
- Personalized learning programme to foster our staff's soft and technical skills
- Multicultural and international work environment with more than 50 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, 11 public holidays, 13-month salary, statutory health insurance
- Flexible working hours, home working policy and access to lunch vouchers Apply online Your application must include:
- A motivation letter oriented towards the position and detailing your experience
- A scientific CV with contact details
- Contact details of 2 references Please apply ONLINE formally through the HR system. Applications by email will not be considered. 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, colour, 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.
