In this role you will design and scale intelligent data platforms that enable multi-agent AI collaboration to solve analytical and mathematical tasks. You will oversee the integration of LLMs, symbolic solvers, and data pipelines into production systems, balancing performance, cost, and governance. This is a chance to shape AI-enabled data platforms that improve efficiency and collaboration across the air transport ecosystem.
Flex Week: work from home up to 2 days/week
Flex Day
Flex-Location: up to 30 days/year remote work
LinkedIn Learning and professional development
Design and scale intelligent data platforms with multi-agent collaboration
Build multi-agent architectures for planning, memory, tool usage and coordination
Develop scalable batch and real-time data pipelines and data models supporting agent memory and retrieval (vector databases/RAG)
Establish LLMOps/MLOps practices for deployment, monitoring, evaluation and testing (including mathematical correctness)




Optimize performance and cost of LLM and compute-heavy workloads; 6+ years in data engineering and/or distributed systems with hands-on delivery of production platforms
Strong Python and SQL skills; experience with data models, data quality controls and observability
Experience with distributed data processing and streaming (e.g., Spark, Kafka) and cloud platforms (AWS, Azure, or GCP)
familiarity with agent frameworks (orchestration, tool usage, memory) and RAG/vector databases
NumPy/SciPy/SymPy, optimization libraries, symbolic/numerical engines)
Understanding of security best practices and governance for data/AI platforms (IAM, secrets management, auditability)
Python
SQL
Spark
Data Scientist - Analytics and ML - barcelona • barcelona, catalunya, es

📌 Data Scientist (Barcelona)
🏢 Sita - Société Internationale De Télécommunications
📍 Barcelona