ppJob Reference: 337_26_DIR_IBD_RE3 /p pJob Title: AI Engineer – AI Data Platforms (RE3) /p pStarting Date: 16/07/2026 /p pClosing Date: Saturday, 08 August, 2026 /p pThe Barcelona Supercomputing Center – Centro Nacional de Supercomputación (BSC‑CNS) is a leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, and hosts EuroHPC JU. The mission is to research, develop and manage information technologies to facilitate scientific progress. /p h3Context and Mission /h3 pThe AI Factory is developing a growing portfolio of AI services that depend on high‑quality, trusted, and well‑governed data. We are looking for an AI Engineer – AI Data Platforms Engineering who will bridge AI engineering and data engineering disciplines, building and maintaining data foundations that enable AI applications. The mission is to transform data into a strategic asset for AI delivery by creating scalable data architectures, improving data quality, and enabling trustworthy AI systems. /p h3Key Duties /h3 ul liDesign, develop, and maintain data pipelines supporting AI and analytics use cases. /li liPrepare, transform, and structure data for AI model consumption and retrieval systems. /li liBuild and maintain knowledge bases, semantic indexes, and embedding pipelines. /li liImplement data quality controls, validation processes, and monitoring mechanisms. /li liDefine data models, schemas, metadata standards, and governance practices. /li liSupport secure and compliant data access, handling sensitive and regulated information appropriately. /li liCollaborate with AI engineers, researchers, and platform teams to deliver AI‑ready datasets and services. /li liDevelop data‑driven applications, analytics capabilities, and evaluation datasets for AI systems.



/li liProduce technical documentation related to data architecture, lineage, and operational processes. /li liContribute to data engineering standards, reusable components, and best practices. /li /ul h3Requirements /h3 ul libEducation /b ul liBachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, Artificial Intelligence, Mathematics, Physics, Statistics, or a related technical discipline. /li /ul /li libEssential Knowledge and Professional Experience /b ul li3–5 years of experience in data engineering, software engineering, analytics engineering, or related roles. /li liStrong experience with Python, SQL, and modern data processing frameworks. /li liExperience designing and operating ETL/ELT pipelines and data orchestration workflows. /li liExperience working with data lakes, data warehouses, lakehouses, or large‑scale analytical platforms. /li liKnowledge of data modeling, metadata management, data quality, governance, and lineage concepts. /li liExperience supporting AI and machine learning use cases through data preparation and engineering. /li liUnderstanding of embeddings, vector databases, semantic search, and retrieval systems. /li liExperience with cloud‑based data platforms and services. /li liExperience with Git, CI/CD, testing, and modern software delivery practices. /li liStrong analytical and problem‑solving skills.



/li /ul /li libAdditional Knowledge and Professional Experience /b ul liExperience supporting Generative AI, RAG, or knowledge‑based AI systems. /li liFamiliarity with MLOps, LLMOps, or AI evaluation frameworks. /li liExperience in research, scientific computing, HPC, or innovation environments. /li liExperience with data governance and compliance frameworks. /li /ul /li libCompetences /b ul liStrong data engineering and software development skills. /li liSolid analytical and problem‑solving capabilities. /li liAbility to design scalable, reliable, and well‑governed data solutions. /li liExperience working with AI, analytics, and data‑driven systems. /li liEffective collaboration and communication skills. /li liProactive, autonomous, and results‑oriented mindset. /li liStrong attention to data quality, reliability, and continuous improvement. /li liAdaptability and willingness to learn in a rapidly evolving AI and data environment. /li /ul /li /ul h3Conditions /h3 ul liThe position will be located at BSC within the Directors Department. /li liFull‑time contract (35h/week) with adaptable working hours, extensive training plan, restaurant tickets, private health insurance, and support for relocation procedures. /li liOpen‑ended contract due to technical and scientific activities linked to the project and budget duration. /li liHoliday entitlement: 22 days + 6 personal days + 24th and 31st of December per collective agreement. /li liSalary: competitive and commensurate with qualifications and experience, adjusted for cost of living in Barcelona. /li liStarting date: 16/07/2026. /li /ul pWe promote Equity, Diversity, and Inclusion, valuing diversity of experiences and skills. /p /p #J-18808-Ljbffr

📌 AI Engineer – AI Data Platforms (Barcelona)
🏢 Barcelona Supercomputing Center
📍 Barcelona