Design and build scalable, modular test automation frameworks for web and mobile applications. Develop cross-platform end-to-end coverage, integrate automated testing into CI/CD pipelines, establish quality and code standards, document test systems, and identify high-value automation opportunities. The role requires strong programming skills, parallel test execution expertise, maintainable framework design, and a proactive approach to preventing software failures.

Build and deploy AI-powered workflow automations, agents, and prototypes to solve operational problems across Sales, Product, and Operations. The role involves using Claude, OpenAI, Codex, and no-code/low-code tools such as Zapier, Make, and Retool. Responsibilities include identifying bottlenecks, implementing practical AI solutions, consulting with senior leaders, and rapidly iterating on prototypes. The position is fully onsite in Madrid and begins with a six-month period intended to transition into a permanent contract.

Build and maintain scalable BigQuery data models and ETL/ELT pipelines within Google Cloud. Clean and migrate legacy business-unit data, establish governance and lineage, and optimize datasets for AI and machine learning consumption. Collaborate with business-unit leaders and the AI Office to translate business logic into technical requirements and ensure reliable, high-quality data foundations.