PMarosa is a fast-growing FinTech company based in Vigo, Spain, specialising in helping multinational businesses manage their global VAT obligations. With a young and motivated team, we are expanding rapidly and offering exciting career opportunities for driven individuals. /ppbr/ppWe are hiring bstudents /b or brecent graduates /b in bArtificial Intelligence, Big Data, Computer Engineering, Data Science, Mathematics, DAM, DAW /b or related fields who are eager to apply their analytical mindset to real business challenges. /ppbr/ppbWhat You Will Do: /b /pulliParticipate in the design and improvement of data pipelines and ETL processes, ensuring accuracy and efficiency. /liliSupport internal stakeholders in identifying data needs and assist in delivering high-quality datasets. /liliAssist in optimising data workflows and support the integration of external data sources into our platform. /liliCollaborate with backend and product teams to ensure data consistency and performance. /liliHelp define best practices for data architecture and tooling. /li /ulpbr/ppbWhat We Are Looking For: /b /pulliStudent or recent graduate in Artificial Intelligence, Big Data, Computer Engineering, Data Science, Mathematics, DAM, DAW or similar. /liliAnalytical mindset, problem-solving skills, and teamwork attitude. /liliBasic knowledge of SQL and understanding of databases or data models. /liliGood communication skills and a fluent level of English (we work globally). /liliCuriosity, adaptability and eagerness to keep learning every day. /liliExperience or interest in Alteryx, Snowflake and Power BI. /liliAdditional training in Data, BI or Artificial Intelligence will be a plus. /li /ulpbr/ppbWhy Join Us? /b /pulliWork on real-world FinTech products with data at their core. /liliJoin a collaborative and ambitious team where your contributions are valued. /liliLearn from experienced engineers and expand your skills with modern data tooling. /li /ulpbr/ppAt Marosa, we are growing fast and investing in our people. If you are excited about using data to power smarter tax technology, we would like to meet you. /p