Senior Data Engineer (Scala Spark AWS) (España)

Senior Data Engineer (Scala Spark AWS) (España)

04 ago
|
Open Digital Services
|
España

04 ago

Open Digital Services

España

ppbOpen Digital Services /b 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. /p pOur 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. /p pBe part of our Best-in-Class team and help us create unique value for our customers! /p h3THE DIFFERENCE YOU MAKE /h3 pAs a bSenior Data Engineer /b 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. This position can be Madrid-based with two days a week in the office, or remote within Spain. /p pYou will work with large and complex data environments, developing robust data pipelines and distributed processing solutions using Spark-based technologies. This role is adecuado 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. /p pTo succeed in this role, you will be responsible for: /p ul liDesigning, developing and optimizing large-scale data pipelines using Apache Spark, mainly with Scala/Spark. /li liBuilding and maintaining batch and near-real-time data processing solutions for high-volume data environments. /li liCreating reliable, reusable and well-structured datasets consumed by Analytics, Data Science, Machine Learning and business teams. /li liWorking with cloud data platforms, ideally AWS, to process, transform, store and expose data efficiently. /li liImplementing data quality, validation,



monitoring and documentation practices across data pipelines. /li liCollaborating with Data Engineering, Data Science, Machine Learning, Architecture and business teams to understand requirements and deliver practical data solutions. /li liContributing to engineering best practices around code quality, testing, version control, CI/CD and automation. /li /ul h3WHAT YOU'LL BRING /h3 h3Professional Experience /h3 ul li5+ years of experience in Data Engineering, Big Data Engineering, Software Engineering or similar technical roles. bRequired /b /li liExperience building production-grade data pipelines in large-scale or complex data environments. bRequired /b /li liHands-on experience working with Apache Spark in real projects, preferably with Scala. bRequired /b /li liExperience working with cloud data platforms. bRequired /b /li liExperience in banking, fintech or regulated environments. bPreferred /b /li /ul h3Language /h3 ul liFluent Spanish. bPreferred /b /li liProfessional English. bRequired /b /li /ul h3Hard Skills /h3 ul liStrong experience with Spark-based distributed processing. bRequired /b /li liStrong Python or Scala coding skills for data engineering use cases. bRequired /b /li liSolid SQL knowledge and experience working with relational and analytical databases. bRequired /b /li liExperience designing and optimizing ETL/ELT processes. bRequired /b /li liExperience with AWS or similar cloud ecosystems; ideally S3, Glue, Athena, EMR, Redshift, IAM or Lake Formation. bRequired /b /li liExperience with Git and collaborative software development practices. bRequired /b /li liUnderstanding of data quality, validation,



monitoring and performance optimization. bRequired /b /li liExperience with CI/CD or DevOps tools such as Jenkins, Sonar, Nexus, Jira, Splunk or similar. bPreferred /b /li liExperience with Apache Flink, Spark Streaming or near-real-time applications. bPreferred /b /li liExperience with Apache Iceberg, Delta Lake or modern lakehouse formats. bPreferred /b /li liExperience with Airflow or workflow orchestration tools. bPreferred /b /li /ul h3Soft Skills /h3 ul liStrong problem-solving skills and ability to work autonomously. bRequired /b /li liOwnership mindset and focus on building reliable, maintainable solutions. bRequired /b /li liAbility to communicate clearly with technical and non-technical stakeholders. bRequired /b /li liCollaborative approach and ability to work across Data Engineering, Data Science, ML and business teams. bRequired /b /li liCuriosity and willingness to learn new tools, frameworks and cloud services. bRequired /b /li /ul h3READY TO TAKE THE NEXT STEP IN YOUR JOURNEY? /h3 pOpen 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. /p pWe make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. /p pThe 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, 28004 (Madrid), Madrid, Spain for the sole purpose of managing your participation in the selection processes and, where appropriate, to formalise your recruitment. /p pFor further information about your rights and data protection, please read the Open Digital Services Privacy Policy applicable to this type of data processing here /p /p #J-18808-Ljbffr

📌 Senior Data Engineer (Scala Spark AWS) (España)
🏢 Open Digital Services
📍 España

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