About this role
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 lette