Senior Data Engineer

Creditas, a leading Latin American fintech company founded in 2012, is seeking a Senior Data Engineer to join their Product Technology team. With offices in São Paulo, Valencia, and Mexico City, and having raised over $829 million in funding, Creditas has been recognized by KPMG, Business Insider, and Glassdoor as one of the world's most promising fintechs.

The role involves working with cutting-edge technology to build and maintain scalable data infrastructure that powers Creditas' financial solutions across auto, real estate, and corporate benefits ecosystems. You'll be responsible for designing and implementing robust data pipelines using technologies like Spark, Airflow, and AWS services, while ensuring data governance and quality standards.

As a Senior Data Engineer, you'll work with large-scale data processing, implementing solutions using Python, Java, or Scala, and managing cloud infrastructure through AWS services. The position requires someone who can not only execute technically but also mentor team members and contribute to the team's growth and efficiency.

The company offers a hybrid work model with quarterly in-person meetings at the São Paulo office, along with comprehensive benefits including health insurance, mental health support, and extensive parental leave policies. Creditas strongly values diversity and inclusion, actively working to create an equitable environment where all perspectives are valued and respected.

This is an excellent opportunity for a seasoned data engineer who wants to make a real impact in Latin America's financial sector while working with modern technologies and contributing to a mission-driven organization. The role combines technical excellence with leadership opportunities in a fast-growing, well-funded company that's transforming financial services in the region.