Senior Data Engineer

Hace 2 días

España Banco Santander SA Jornada completa
Senior Data Engineer - ODS Country: Spain

Open Digital Services is the software development company of Santander Group powering the next generation of banks by creating innovative banking products and implementing them in collaboration with Santander Group Affiliates. Santander Group is one of the world's largest financial institutions and the Eurozone's leader, we're committed to being the best Digital Bank with Branches in the industry. Our mission at ODS is to design and support an advanced digital and omnichannel platform, ensuring the best customer experience using cutting-edge technology. Openbank, our flagship partner, is where we develop our most advanced concepts first. Be part of our Best-in-Class team and help us create unique value for our customers


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THE DIFFERENCE YOU MAKE

As a Senior Data Engineer within the Data Management department, you will design, build and optimize scalable data solutions that support analytics, machine learning, reporting and business-critical decision-making. You will work with large and complex data environments, developing robust data pipelines and distributed processing solutions using Spark-based technologies. This role is ideal for someone with strong data engineering fundamentals, hands-on experience with Spark, and the ability to build reliable production data solutions in cloud environments.

  • Designing, developing and optimizing large-scale data pipelines using Apache Spark and Scala.
  • Building and maintaining batch and near-real-time data processing solutions for high-volume data environments.
  • Creating reliable, reusable and well-structured datasets consumed by Analytics, Data Science, Machine Learning and business teams.
  • Working with cloud data platforms (AWS), to process, transform, store and expose data efficiently.
  • Implementing data quality, validation, monitoring and documentation practices across data pipelines.
  • Collaborating with Data Engineering, Data Science, Machine Learning, Architecture and business teams to understand requirements and deliver practical data solutions.
  • Contributing to engineering best practices around code quality, testing, version control, CI/CD and automation.
WHAT YOU’LL BRINGProfessional Experience
  • 5+ years of experience in Data Engineering, Big Data Engineering, or similar technical roles.
  • Required Experience building production-grade data pipelines in large-scale or complex data environments.
  • Required 5+ years of hands-on experience working with Spark in real projects with Scala.
  • Required Experience working with cloud data platforms.
  • Required Experience in banking, fintech or regulated environments.
Preferred Language
  • Fluent Spanish.
  • Preferred Professional English.
Required Hard Skills
  • Strong experience with Spark-based distributed processing.
  • Required Strong Scala coding skills for data engineering use cases.
  • Required Solid SQL knowledge and experience working with relational and analytical databases.
  • Required Experience designing and optimizing ETL/ELT processes.
  • Required Experience with AWS or similar cloud ecosystems; ideally S3, Glue, Athena, EMR, Redshift, IAM or Lake Formation.
  • Required Experience with Git and collaborative software development practices.
  • Required Understanding of data quality, validation, monitoring and performance optimization.
  • Required Experience with CI/CD or DevOps tools such as Jenkins, Sonar, Nexus, Jira, Splunk or similar.
Preferred Hard Skills
  • Preferred Experience with Apache Flink, Spark Streaming or near-real-time applications.
  • Preferred Experience with Apache Iceberg, Delta Lake or modern lakehouse formats.
  • Preferred Experience with Airflow or workflow orchestration tools.
Preferred Soft Skills
  • Strong problem-solving skills and ability to work autonomously.
  • Required Ownership mindset and focus on building reliable, maintainable solutions.
  • Required Ability to communicate clearly with technical and non-technical stakeholders.
  • Required Collaborative approach and ability to work across Data Engineering, Data Science, ML and business teams.
  • Required Curiosity and willingness to learn new tools, frameworks and cloud services.

Open Digital Services is an equal opportunity employer. All applicants will be considered as equal without paying attention to gender identity, sexual orientation, ethnicity, religion, age, political orientation, union membership nor disability status. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build.

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