Santander Group is seeking an experienced Big Data Engineer to design and implement advanced data environments using cutting-edge technologies. The ideal candidate will work in a dynamic, innovative team developing next-generation banking products with opportunities for significant technological impact.
Primary responsibilities include designing and implementing production big data environments, building large-scale data solutions across heterogeneous data platforms, and developing complex ETL processes using batch and streaming technologies like Spark, Scala, and Apache Flink.
Required experience includes 3+ years working with Scala, Spark, software design patterns, and Test-Driven Development (TDD). Strong technical skills in big data technologies, database structures (SQL and NoSQL), cloud ecosystems, particularly AWS, and expertise in data integration and management with high data volumes are essential.
The role offers a competitive compensation package, opportunities for international collaboration, working in an agile startup-like environment with the support of a global financial institution. Professionals will benefit from continuous learning, career growth, and the chance to create innovative technological solutions in the banking sector.
