Jobs Python in Madrid

The Swiss Financial Center combines expertise and technology, enabling businesses to thrive here and abroad, processing billions of transactions every day. And SIX/BME is right at the center of it. Do you want to become part of a dynamic team, which protects this ecosystem? We are seeking a highly skilled Cybersecurity Engineer to join our team. This role is crucial for maintaining and advancing our cybersecurity posture by engineering and optimizing our security tools and systems. The ideal candidate will have deep expertise in security tools such as Endpoint Detection and Response (EDR), Security Orchestration, Automation, and Response (SOAR), Threat Intelligence Platforms (TIP), and sandbox environments. The Cybersecurity Engineer will collaborate with cross-functional teams to implement, maintain, and improve security measures that protect our organization from cyber threats. What You Will Do Security Tool Engineering: Design, deploy, configure, and maintain cybersecurity tools including EDR, SOAR, TIP, and sandbox environments to enhance our security operations. This includes the engineering, deployment, and configuration of the SOAR platform, ensuring its seamless integration with other security tools and systems. Threat Intelligence: Integrate and manage Threat Intelligence Platforms (TIP) to ensure accurate and timely information is available for threat detection, hunting, intel and response activities. Sandbox Analysis: Deploy and manage sandbox environments for malware analysis, ensuring that threats are accurately identified. Tool Optimization: Continuously assess and improve the effectiveness of security tools, ensuring they are aligned with current threat landscapes and organizational needs. Collaboration: Work closely with IT, SOC, and other cybersecurity teams to ensure that tools and processes are aligned with the broader security strategy. Documentation & Reporting: Maintain detailed documentation of security tools, configurations, and procedures. Provide regular reports on the effectiveness and utilization of security tools What You Bring Bachelor's degree in Computer Science, Information Technology, or a related field Proficiency in Linux operating systems (e.g., CentOS, Ubuntu, Red Hat). Over three (3) years of proven experience with EDR, SOAR, Sandbox & TIP tooling (i.e MDE, Tanium, XSOAR, Anomaly, MISP, etc) Experience with using GitLab is a plus Python coding knowledge for automation is a plus Excellent analytical and problem-solving skills, with the ability to troubleshoot and resolve complex technical issues while working effectively in a team-oriented environment Excellent verbal & writing skills with English is a must Willingness to be on-call rotations What We Offer Flexible Work Models: We trust our employees and offer a work environment that is well-balanced, productive and fosters success. Personal Development: You will benefit from a culture of continuous learning and feedback. Your personal growth is supported through an extensive learning offering. Agile Working Methods: Whether through scrum or design thinking, we solve exciting tasks together in teams. Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background. Upload your CV in English.

The Swiss Financial Center combines expertise and technology, enabling businesses to thrive here and abroad, processing billions of transactions every day. And SIX/BME is right at the center of it. Do you want to become part of a dynamic team, which protects this ecosystem? We are looking for a Cyber Security Engineer to join our growing global team. As a member of the team in the cybersecurity organization, you apply your technical know-how to drive log ingestion, aggregation and processing capabilities for our security and operational monitoring with a security-first mindset. You will play an active role supporting the SIEM and operational monitoring by providing real-time log shipping, streaming, parsing, normalization and enrichment of the data. You work hand-in-hand with our internal customers and technology partners to engineer our security stack, increase the level of automation, and evaluate improvements as well as new technologies. What You Will Do Identify and support the onboarding of new data sources Develop and maintain efficient pipelines for various log types Design and implement data parsing and transformation for accessibility Assist stakeholders in accessing and using data. Troubleshoot queries and provide technical support Create and maintain documentation, including configuration guides and SOPs Manage the ELK Enterprise stack and complementary components What You Bring Experience with ELK (Elasticsearch, Kibana and Logstash), NXlog & Kafka Proficiency CI/CD using GitLab and Terraform. Python coding knowledge for automation Bachelor's degree in Computer Science, Information Technology, or a related field Certifications or technology work experience (e.g., Red Hat, Elastic, Splunk, etc) is a plus Excellent verbal & writing skills with English is a must Willingness to be on-call What We Offer Flexible Work Models: We trust our employees and offer a work environment that is well-balanced, productive and fosters success. Personal Development: You will benefit from a culture of continuous learning and feedback. Your personal growth is supported through an extensive learning offering. Agile Working Methods: Whether through scrum or design thinking, we solve exciting tasks together in teams. Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background. Upload your CV in English.

Trabajarás como Data Scientist en un proyecto de machine learning en la creación de un asistente de Inteligencia Artificial Generativa y en entorno cloud. ¿Cómo será tu día a día? Generación de código en Python y sus bibliotecas de ciencia de datos y Apache Spark, Desarrollo de pipelines, optimización de jobs, etc. Desarrollo de modelos de machine learning y evaluación de estos. Servicios de AWS relacionados con ML (por ejemplo, SageMaker, Lambda, Athena, EC2, S3, RDS). Despliegue y monitoreo de modelos de aprendizaje automático escalables en producción. ¿Qué te hará triunfar en la posición? 2-3 años de experiencia como Data Scientist con modelos de Machine Learning. Experiencia trabajando con Python y sus bibliotecas de ciencia de datos (por ejemplo, pandas, NumPy, scikit-learn, TensorFlow, PyTorch) y Apache Spark, desarrollo de pipelines, optimización de jobs, Spark ui, etc. Experiencia generando código de alta calidad, centrándose en la simplicidad, la reutilización, el rendimiento y la mantenibilidad. Experiencia extensa con servicios de AWS relacionados con ML (por ejemplo, SageMaker, Lambda, Athena, EC2, S3, RDS). Sólido entendimiento de los algoritmos de Machine Learning, principios y métricas de evaluación de modelos. Experiencia en despliegue y monitoreo de modelos de aprendizaje automático escalables en producción. Experiencia con herramientas CI/CD y mejores prácticas de DevOps. Experiencia Test Driven Development. Unit Testing, Integration Testing, etc. Competencia en bases de datos relacionales y object storage DataBase. Habilidad en migraciones de bases de datos para asegurar una transición eficiente y sin inconvenientes. Deseable experiencia en proyectos de Gen AI. Deseable experiencia con la plataforma en la nube Amazon Web Services. Deseable experiencia en desarrollo y despliegue de agentes/asistentes de Inteligencia Artificial Generativa. ¿Quiénes somos? Somos una empresa líder en el sector tecnológico, con 20 años de experiencia y más de 500 profesionales repartidos en España, México, Cololombia y Perú. En Zemsania, nos apasiona la innovación y el desarrollo de soluciones tecnológicas que impacten de manera positiva a nuestros clientes. ¿Por qué trabajar con nosotros? En Zemsania, valoramos el talento y la pasión por la tecnología. Ofrecemos un ambiente de trabajo dinámico, colaborativo y lleno de oportunidades de crecimiento y desarrollo profesional. ¡Si buscas un lugar donde tus habilidades sean valoradas y donde puedas seguir aprendiendo, Zemsania es el lugar para ti! ¿Qué ofrecemos? Modalidad de trabajo híbrido, inicialmente 1-2 días en las oficinas de Las Tablas, después flexible. Horario: 9 horas de L-J y 7 horas los viernes; julio y agosto jornada intensiva de 7 horas todos los días. Posición estable, indefinida y de larga duración. Salario competitivo según la experiencia y lo que puedas aportar al proyecto. Oportunidades de formación en tecnologías punteras (Open Webinars). Clases de inglés con diferentes niveles, adaptadas a ti. Certificaciones pagadas en las últimas tendencias. Amplio abanico de retos y proyectos. Acceso a beneficios fiscales gracias a nuestro plan de Retribución Flexible (ticket restaurante, transporte, guardería y formación). Finalizar el contrato siempre es la última opción, buscamos entre la multitud de proyectos que tenemos otro que pueda interesarte. Seguimiento personalizado gracias al acompañamiento de nuestra figura de People Partner y un Business Manager. Trato cercano y seguimiento: vas a estar en constante comunicación con nosotros para saber cómo avanza el proyecto. ¡DA EL PASO PARA COMENZAR TU NUEVA ETAPA PROFESIONAL!