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
-

📌 Senior Data Engineer - Ods (Madrid)
🏢 Grupo Santander
📍 Madrid