**Company Description** Inetum is a global technology and digital innovation services company, present in more than 26 countries. In Colombia, Inetum delivers advanced technological solutions that drive the digital transformation of enterprises across diverse sectors, providing services in consulting, software development, systems integration, outsourcing, and technical support. With a focus on agility and adaptability, Inetum Colombia seeks to create value for its clients by implementing innovative technologies that enhance efficiency and productivity. Our team consists of experts across various technological domains, working in a collaborative, dynamic, and results-oriented environment. Join Inetum and become part of a company transforming the future of businesses through technology. **Job Description** We are seeking professionals with degrees in Systems Engineering, Electronics, or related fields, possessing over one year of experience and expertise in SQL databases, relational and non-relational databases, programming languages such as Python and Scala—particularly for data manipulation—as well as familiarity with ETL tools and processes and foundational concepts of data transformation and cleansing. Knowledge and hands-on experience with Spark, understanding of storage systems such as Data Lake, and cloud services like AWS are required. Experience or knowledge of JAVA is considered a plus. Ability to analyze data and ensure its accuracy and quality. Strong communication skills. **Requirements** * Minimum verifiable one-year experience as a Data Engineer. * Familiarity with the banking sector and Fintech. * Experience and knowledge of SQL databases, relational and non-relational databases, and programming languages such as Python and Scala. * Experience in data manipulation, familiarity with ETL tools and processes, and foundational concepts of data transformation and cleansing. * Knowledge and hands-on experience with Spark. **Additional Information** * Analytical capability to interpret and transform large volumes of data into reliable and reusable assets. * Focus on data quality, integrity, and governance. * Hybrid work model. * Indefinite-term employment contract.