Senior Data Engineer (Scala Spark Aws)

Open Digital Servicesis 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!THE DIFFERENCE YOU MAKEAs aSenior Data Engineerwithin the Data Management department, you will design, build and optimize scalable data solutions that support analytics, machine learning, reporting and business-critical decision-making. This position can be Madrid-based with two days a week in the office, or remote within Spain.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 PySpark or Spark SQL, and the ability to build reliable production data solutions in cloud environments.To succeed in this role, you will be responsible for:Designing, developing and optimizing large-scale data pipelines using Apache Spark, mainly with Scala/Spark.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, ideally 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 Experience5+ years of experience in Data Engineering, Big Data Engineering, Software Engineering or similar technical roles.RequiredExperience building production-grade data pipelines in large-scale or complex data environments.RequiredHands-on experience working with Apache Spark in real projects, preferably with Scala.RequiredExperience working with cloud data platforms.RequiredExperience in banking, fintech or regulated environments.PreferredLanguageFluent Spanish.PreferredProfessional English.RequiredHard SkillsStrong experience with Spark-based distributed processing.RequiredStrong Python or Scala coding skills for data engineering use cases.RequiredSolid SQL knowledge and experience working with relational and analytical databases.RequiredExperience designing and optimizing ETL/ELT processes.RequiredExperience with AWS or similar cloud ecosystems; ideally S3, Glue, Athena, EMR, Redshift, IAM or Lake Formation.RequiredExperience with Git and collaborative software development practices.RequiredUnderstanding of data quality, validation, monitoring and performance optimization.RequiredExperience with CI/CD or DevOps tools such as Jenkins, Sonar, Nexus, Jira, Splunk or similar.PreferredExperience with Apache Flink, Spark Streaming or near-real-time applications.PreferredExperience with Apache Iceberg, Delta Lake or modern lakehouse formats.PreferredExperience with Airflow or workflow orchestration tools.PreferredSoft SkillsStrong problem-solving skills and ability to work autonomously.RequiredOwnership mindset and focus on building reliable, maintainable solutions.RequiredAbility to communicate clearly with technical and non-technical stakeholders.RequiredCollaborative approach and ability to work across Data Engineering, Data Science, ML and business teams.RequiredCuriosity and willingness to learn new tools, frameworks and cloud services.RequiredREADY TO TAKE THE NEXT STEP IN YOUR JOURNEY?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.The personal data you provide as well as any data generated during the selection process are confidential and will be processed by Open Digital Services, S.L. with registered office at Plaza de Santa Bárbara 2, *** (Madrid), Madrid, Spain for the sole purpose of managing your participation in the selection processes and, where appropriate, to formalise your recruitment.For further information about your rights and data protection, please read the Open Digital Services Privacy Policy applicable to this type of data processing here#J-***-Ljbffr

5+ years of experience in Data Engineering, Big Data Engineering, Software Engineering or similar technical roles. Required Experience building production-grade data pipelines in large-scale or complex data environments. Required Hands-on experience working with Apache Spark in real projects, preferably 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 Python or 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 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.