Senior Data Engineer - ODS

Empresa: Santander
Provincia: Madrid
Población: 
Descripción: 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! 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 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 BRING Professional Experience - 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 PySpark, Spark SQL or Spark-based distributed processing. Re...
Tecnologías: Spark, PySpark, SQL,
Tipo de Contrato: Indefinido
Salario: Sin especificar
Experiencia: Más de 5 años
Funciones: Big Data
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