Senior Software Engineer (Data & AI)
Role details
Job location
Tech stack
Job description
Senior Software Engineer (Data & AI) at Fever - a leading tech platform that democratizes access to culture and live entertainment. Join a data-focused engineering team that powers the production of machine learning models, automations, and scalable services used across product, marketing, and data science. Responsibilities * Build and maintain backend services and data pipelines that enable ML models and automations to run reliably at scale. * Design robust systems to automate business processes and expose them through APIs or event-based architectures. * Translate complex business and analytical needs into technical solutions that create leverage across CRM, Marketing, Product, and Data Science teams. * Own your services end-to-end, from architecture to deployment and monitoring, applying strong engineering discipline. * Collaborate closely with Data Science, Machine Learning, and Data Engineering to ensure smooth integration of data sources and model infrastructure.
Requirements
Qualifications * Strong backend engineering fundamentals and a passion for writing high-quality Python code. * Solid understanding of OOP, software architecture patterns (clean architecture, hexagonal), and design principles. * Experience working with relational databases and SQL (PostgreSQL, Snowflake, or similar). * Familiarity with containerization and deployment workflows (Docker, Kubernetes). * Comfortable communicating in English in a cross-functional technical environment. * Pragmatic mindset - balancing technical quality with business impact and speed of delivery. Bonus points * Familiarity with APIs from major marketing or CRM platforms (Meta, Google, Salesforce Marketing Cloud, etc.). * Frontend knowledge (React, Vue, or any modern framework), even if not your main focus. * Experience with AWS services (S3, EC2, RDS…) or similar cloud environments. * Exposure to orchestration tools like Airflow or similar schedulers. * Experience building data or, ML-powered internal
Benefits & conditions
services or automation platforms, Environment * Fast-paced, impact-oriented, and tech-driven team working closely with Data Science and Data Engineering. * We value clean, maintainable code and long-term engineering excellence over quick fixes. * Strong culture of ownership - engineers ship services end-to-end and see their work adopted across multiple teams. * Close collaboration between product, engineering, and data functions to turn ideas and models into user-facing capabilities. Benefits & Perks * Responsibility from day one and professional and personal growth. * Opportunity to have a real impact in a high-growth global category leader. * Compensation package consisting of base salary and the potential to earn a significant bonus for top performance. * Stock options plan. * 40% discount on all Fever events and experiences. * Home-office friendly, location in Madrid or Barcelona required. * Health insurance and other benefits such as flexible