About the Role Are you looking for a place where your analytical skills can actually impact real\-world financial technology? We are looking for a driven and curious Trainee in Data \& AI to join our team. This isn't your typical "coffee\-fetching" internship. From day one, you’ll dive headfirst into our modern data stack, collaborating directly with senior engineers and analysts. You’ll gain hands\-on experience managing, cleaning, and transforming critical information into actionable insights, all while mastering best practices in a fast\-paced fintech environment. What You’ll Do As a Trainee in Data \& AI, you will be an active contributor to our team’s core mission. You will: * Dive into the Data: Assist with data collection, rigorous cleaning, and complex analysis to ensure our organization moves forward with data\-driven confidence. * Guard Data Quality: Support data quality checks and reporting, becoming a key player in maintaining our high standards of data integrity. * Build \& Maintain: Help document scalable processes and monitor basic data pipelines, keeping our systems healthy and efficient. * Collaborate Across Teams: Work side\-by\-side with data engineers and business analysts on cross\-functional projects. * Level Up Your Tech Stack: Fast\-track your learning in core industry tools and concepts, including SQL, Python, Git, and modern data warehousing. **Requirements** What You Bring* The Background: You are currently pursuing a degree in Computer Engineering, Data Science, or a related technical field. * The Mindset: You possess strong analytical skills, a sharp eye for detail, and a genuine eagerness to learn and adapt within a fast\-moving team. * The Essentials: Basic, foundational knowledge of Excel, SQL, and Python (university projects count!). * Communication: Fluency in English (both written and spoken), as you’ll be working in an international environment. Nice to Have* Prior exposure to data libraries and tools like Pandas, Jupyter Notebooks, or Git. * A basic understanding of relational databases and architecture. * Familiarity or curiosity regarding containerization concepts (like Docker). * A budding interest in data governance and data engineering practices. **Benefits** * Join a culture that celebrates creativity and welcomes innovative, disruptive ideas, empowering you to make a real impact. * Immerse yourself in a fast\-paced, diverse workplace where you'll have the chance to collaborate and learn from specialists across various fields, fostering personal and professional growth. * Embrace automation and seamless tech integration in your workflows, while our platform boosts operations through tech leverage, ensuring you stay ahead of the curve and updated with new technologies. * Work in a comfortable, ergonomic environment within our spacious, modern offices where you can enjoy daily fresh fruit and coffee! * Monthly afterworks organised by the company to unwind and strengthen team connections.
David Muñoz
Indeed · HR
David Muñoz
Indeed · HR
