Experteer Overview
In this role you design, build and optimize scalable data solutions that power analytics, ML, reporting, and critical decision-making. You will work with large data environments to create robust pipelines and distributed processing using Spark-based technologies. You’ll operate in cloud environments to process, transform and expose data for Analytics, Data Science, and business teams. This position offers a chance to shape data platforms and contribute to a leading digital banking ecosystem.

Compensaciones / Incentivos
• Design, develop and optimize large-scale data pipelines using Apache Spark (Scala/Spark).
• Build batch and near-real-time data processing for high-volume environments.
• Create reliable datasets consumed by analytics, data science, ML, and business teams.
• Work with cloud data platforms (ideally AWS) to process, transform and store data.
• Implement data quality, validation, monitoring and documentation across pipelines.
• Collaborate with Data Engineering, Data Science, ML, Architecture and business teams to deliver practical data solutions.
• Contribute to engineering best practices around code quality, testing, CI/CD and automation.

Responsabilidades
• 5+ years in Data Engineering or similar roles.




• Experience building production-grade data pipelines in large-scale environments.
• Hands-on Spark experience in real projects, preferably Scala.
• Experience with cloud data platforms.
• Experience in banking, fintech or regulated environments (preferred).
• Fluent Spanish; professional English.
• Strong Python or Scala coding skills for data engineering tasks.
• Solid SQL knowledge and experience with relational/analytic databases.
• Experience designing and optimizing ETL/ELT processes.
• Experience with AWS or equivalent cloud ecosystems (S3, Glue, Athena, EMR, Redshift, IAM, Lake Formation).
• Experience with Git and collaborative software development practices.
• Understanding of data quality, validation, monitoring and performance optimization.
• Experience with CI/CD or DevOps tools (Jenkins, Sonar, Nexus, Jira, Splunk).
• Scala experience (preferred).
• Experience with Apache Flink, Spark Streaming or near-real-time applications (preferred).
• Experience with Iceberg, Delta Lake or modern lakehouse formats (preferred).
• Experience with Airflow or workflow orchestration tools (preferred).

Requisitos principales
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📌 Senior Data Engineer - ODS (Madrid)
🏢 Grupo Santander
📍 Madrid