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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - Ods - **Company:** Banco Santander, S.A. - **Location:** Ávila, Spain - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Data Analysis, Apache HTTP Server, JIRA, Big Data, Cloud Database, Software Quality, Collaborative Software, Databases, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), DevOps, Distributed Computing Environment, Apache Hive, Identity and Access Management, Python (Programming Language), Machine Learning, Cisco Nexus Switches, Operational Databases, Performance Tuning, Cloud Services, Standard Sql, Scala (Programming Language), Software Engineering, SONAR (Symantec), Data Processing, Cloud Platform System, Real Time Systems, Apache Spark, Git, Data Lakes, Pyspark, Apache Flink, Spark Streaming, Data Management, Splunk, Software Version Control, Data Pipelines, Jenkins - **Published:** August 16, 2026 - **Apply:** https://www.buscojobs.com.es/senior-data-engineer-ods-en-avila-ID-367528594 ## About the Role 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 PySpark, Spark SQL or 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. PreferredScala experience. 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. ## Description Senior Data Engineer - ODSCountry: SpainOpen 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!THE DIFFERENCE YOU MAKEAs 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 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 PySpark, Spark SQL or 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.PreferredScala experience.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.RequiredWHAT TO DO NEXTIf this sounds like a role you are interested in, then please apply.READY 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 hereSummaryLocation: MadridType ## Related Videos - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Spanish Business Culture and Etiquette](https://www.wearedevelopers.com/magazine/353-spanish-business-culture-and-etiquette)