As a Data Engineer at Santander, you will be responsible for designing, developing, and maintaining complex data pipelines and infrastructure using cutting-edge technologies like Dask and PySpark. Your primary focus will be transforming large-scale financial data, implementing robust data processing workflows, and supporting the organization's financial crime detection capabilities.
The ideal candidate will have extensive experience in distributed computing, strong programming skills in Python, and a deep understanding of data engineering best practices. You should have a proven track record of working with big data technologies, implementing scalable data solutions, and collaborating effectively in a fast-paced financial technology environment.
Santander offers a competitive compensation package, opportunities for professional growth, and the chance to work on meaningful technological solutions that impact millions of customers. You'll be part of a dynamic team that values innovation, continuous learning, and making a significant difference in the financial services industry.
