ph3About the Role /h3pAre 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. /ph3What You'll Do /h3ulliDive into the Data: Assist with data collection, rigorous cleaning, and complex analysis to ensure our organization moves forward with data-driven confidence. /liliGuard Data Quality: Support data quality checks and reporting, becoming a key player in maintaining our high standards of data integrity. /liliBuild Maintain: Help document scalable processes and monitor basic data pipelines, keeping our systems healthy and efficient. /liliCollaborate Across Teams: Work side‑by‑side with data engineers and business analysts on cross‑functional projects. /liliLevel Up Your Tech Stack: Fast‑track your learning in core industry tools and concepts, including SQL, Python, Git, and modern data warehousing. /li /ulh3What You Bring /h3ulliBackground: You are currently pursuing a degree in Computer Engineering, Data Science,



or a related technical field. /liliMindset: You possess strong analytical skills, a sharp eye for detail, and a genuine eagerness to learn and adapt within a fast‑moving team. /liliEssentials: Basic, foundational knowledge of Excel, SQL, and Python (university projects count!). /liliCommunication: Fluency in English (both written and spoken). /liliNice to Have: Prior exposure to data libraries and tools like Pandas, Jupyter Notebooks, or Git. /liliA basic understanding of relational databases and architecture. /liliFamiliarity or curiosity regarding containerization concepts (like Docker). /liliA budding interest in data governance and data engineering practices. /li /ulh3Join Our Culture /h3pImmerse 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 are organised by the company to unwind and strengthen team connections. /p /p #J-18808-Ljbffr

📌 Trainee in Data & AI (Gerona)
🏢 PVH (Tommy Hilfiger/Calvin Klein)
📍 Gerona