We are looking for aMid-to-Senior KDB+ Developerto join our Global Markets Analytics team. This isn't just about managing a database; it's about stewarding the high-performance data foundation that powers real-time and historical analytics for our globalCash Equitiesbusiness. You will be a core member of the team responsible for designing and maintaining production-grade KDB+ systems that ingest, transform, and serve massive sets of electronic market data.️ The Tech & Data Stack: The Core:KDB+/q (High-performance ticker plants, RDB, HDB). Visualization:Python (Plotly/Streamlit) or Tableau for business dashboards. Environment:Low-latency Linux infrastructure, CI/CD pipelines. The Data:Full-stack Electronic Equities market data (Raw feeds, metrics, and analytics).What You'll Do: Engineer the Foundation:Design, code, and deploy KDB+/q services that enrich raw market data with complex metrics, presenting it for maximum impact to traders and quants. Performance Tuning:Profile and tune KDB queries. You are the one who identifies bottlenecks in data retrieval and optimizes the pipeline stages for ultra-low latency. Strategic Collaboration:Partner with data scientists, quants, and business stakeholders to refine requirements and deliver the data foundations they need to win the market. Self-Service Innovation:Develop visual tools and dashboards (Streamlit/Python) that allow analysts to explore equities data without needing to write a single line of q code. System Stewardship:Participate in on-call rotations and perform deep root-cause analysis on production incidents. You ensure schema validation and outlier detection are baked into the system.Who You Are (Requirements): The Expert:You have3–7+ yearsof hands-on experience developing inKDB+/q. You understand the intricacies of ticker plant architectures and historical database (HDB) management. Analytical Powerhouse:You possess strong problem-solving skills and the ability to navigate complex datasets under pressure. Full-Stack Mentality:You aren't just a backend developer. You have experience (or a strong interest) inPython (Plotly/Streamlit)to make data accessible to the business. Education:A Master's degree in Computer Science, Information Technology, or a related quantitative field. Communication:ExceptionalEnglishskills. You can explain complex data structures to both developers and C-level stakeholders.Why Join Us? Market Leader:Join a global \"powerhouse\" in Corporate & Institutional Banking (CIB). Front Office Exposure:Work directly with Trading, Research, and Structuring teams. Hybrid Culture:A modern, high-growth environment in Lisbon's premier European HUB.