• Own and deliver projects end to end, from scoping and system design through implementation, rollout, and production validation, driving measurable progress on the team's highest-priority initiatives. • Design and build high-reliability, low-latency systems serving millions of users, tackling challenges like caching, upstream service optimization, and efficient connection management at scale. • Build and improve the API framework and tooling that hundreds of engineers depend on, making it fast and easy for teams across the company to build, test, and ship independently. • Drive operational excellence across T0 services: own SLOs, improve observability, lead incident response, and reduce operational toil so the team can invest in high-leverage work. • Partner cross-functionally with product engineering teams to design API schemas, support service launches, and ensure the platform evolves to meet their needs. • Set the technical bar through code and design reviews, mentor engineers across the team, and contribute to architectural direction.

• Develop, deploy, and maintain production-grade Machine Learning (ML) models in cloud environments beyond local notebook development. • Perform Exploratory Data Analysis (EDA) and design feature engineering pipelines to support production ML workflows. • Build, maintain, and optimize data pipelines that feed and sustain ML models in production. • Monitor model performance, health, and drift post-deployment to ensure continuous reliability in production. • Partner with software engineering, data, and business stakeholders to translate business goals into scalable ML solutions. • Contribute to Artificial Intelligence (AI) and Large Language Model (LLM) based capabilities where applicable.

Role Description Buscamos un/a Data Engineer Analyst apasionado/a por la precisión de los datos y los entornos de mercado para asumir el liderazgo del Mapper Engine y la parametrización de procesos críticos. - Liderar y gestionar la funcionalidad del Mapper Engine para la transformación eficiente de datos. - Ejecutar el mapeo y la transformación de datos de sensibilidades orientados al cálculo de VaR. - Parametrizar y optimizar procesos de negocio clave utilizando SQL. - Configurar y administrar la orquestación de procesos a través de Control-M. - Garantizar la máxima autonomía, calidad e iniciativa en la resolución de incidencias y entrega de soluciones. Qualifications - Al menos 3 años de experiencia acreditada como Analista de Datos o Data Engineer. - Experiencia demostrable en el ámbito de Riesgos de Mercado (mapeo y transformación para VaR). - Dominio avanzado de SQL para la parametrización y manipulación de estructuras de datos. - Manejo sólido de Control-M para la gestión de procesos. - Nivel de inglés avanzado (C1) y castellano fluido. Requirements - Tienes bagaje previo en proyectos del sector financiero o banca de inversión. - Te apasiona aprender, compartir ideas y evolucionar junto al equipo. Benefits - Salario Fijo Competitivo: Ajustado a tu nivel técnico y experiencia en el mercado de élite. - Modalidad 100% remota con flexibilidad para trabajar desde cualquier lugar de España. - Proyectos de alto impacto y escala en colaboración con clientes de primer nivel. - Cultura basada en la transparencia, la innovación constante y el crecimiento profesional.

• Implement schema changes that unlock new product features without breaking downstream consumers • Move and transform data between tables as reporting and product requirements evolve • Keep the reporting pipeline accurate so advertisers see correct, current campaign performance • Troubleshoot data discrepancies and trace them back to the source system • Work directly with the Data Platform team to understand the storage and compute systems you're building on • Flag scaling or data-quality risks before they surface as incidents