Data Engineer

Creditas is a leading Latin American fintech company that's revolutionizing financial services through its digital platform focused on auto, real estate, and corporate benefits. Founded in 2012 and backed by over $829 million in venture capital, the company has grown to over 2,500 employees across offices in São Paulo, Valencia, and Mexico City.

As a Data Engineer at Creditas, you'll be part of the Product Technology team that's crucial in scaling the business, optimizing processes, and delivering exceptional customer experiences. You'll work with cutting-edge technologies including Python, Spark, and AWS services to build and maintain scalable data solutions that power the company's innovative financial products.

The role offers an exciting opportunity to work with distributed systems and modern data architecture, implementing solutions that directly impact millions of customers across Latin America. You'll be responsible for designing and maintaining data pipelines, ensuring data governance, and optimizing AWS-based solutions.

The ideal candidate should have a strong foundation in Python and SQL, with an understanding of distributed systems. Experience with tools like Docker, Airflow, AWS services, and the Hadoop ecosystem would be advantageous. Creditas offers a comprehensive benefits package and promotes a diverse, inclusive work environment where innovation and problem-solving are highly valued.

This position provides an excellent opportunity to join one of the world's most promising fintechs, recognized by KPMG, Business Insider, and Glassdoor, while working on meaningful problems that improve people's financial lives across Latin America.