Introduction to the Team In B2B division, we bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include general financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more. We're constantly looking for opportunities to improve the breadth and depth of the products we offer. Our ambition is to unlock the power of Expedia for partners — fueling their growth through unparalleled technology, travel supply, and support services. Data is our underlying foundation, and the only way to operate at our immense scale is to develop our own technologies and leverage cloud capabilities in a dynamic, test-and-learn environment. Our streaming platform currently ingests more than 3.6 billion domain event messages per day — 11.5 TB — that we enrich, transform, and make available across all internal functions and services. If you have a growth mindset and love solving complex, challenging problems, come join us on this exciting journey. In this role, you will:



Develop various facets of data capture, processing, storage, distribution, and visualization Apply AWS best practices and services, including compute, storage, and databases Write clean, maintainable, and well-tested code Build scalable, highly performant distributed systems with a focus on availability, monitoring, and resiliency Communicate and document solutions and design decisions clearly Propose new approaches and contribute to system architecture discussions Collaborate as part of an agile team that is continuously learning and improving Experience and Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical field; or equivalent related professional experience Experience with at least one modern programming language (e.G., Scala, Python, or Java) Experience delivering and supporting highly available, scalable solutions handling large transaction volumes

📌 Data Engineer Ii (Madrid)
🏢 Expedia Group
📍 Madrid