Senior Data Platform Engineer

Salary: £70,000 - 110,000 per year

Requirements:

• Proven experience as a senior software engineer building and operating production systems at scale.
• Strong passion for technology, engineering excellence, and solving complex engineering problems.
• Experience delivering end-to-end solutions with a focus on scalability, reliability, and observability.
• Strong knowledge of the JVM and server-side Kotlin/Java programming.
• Solid understanding of the Hadoop ecosystem, including Spark, Hadoop, and Hive.
• Strong experience with cloud platforms and data infrastructure, especially AWS, including EMR, S3, and Glue.
• Experience working in Agile environments and contributing through code reviews, design discussions, and collaborative development.
• Strong communication skills, with the ability to work effectively across technical and business stakeholders.
• Ability to manage multiple priorities, make sound technical trade-offs, and deliver in a fast-paced environment.
• Good understanding of architectural patterns and trade-offs, with confidence in recommending practical technical approaches.

Responsibilities:

• Design, build, and evolve maintainable, scalable, testable, and observable software for our data lake platform.
• Lead by example in engineering quality through clean, well-tested code and strong coding practices.
• Promote an SLO-driven culture by contributing to reliability goals, observability, and incident learnings.
• Partner closely with engineers and other stakeholders to clarify requirements and deliver effectively.
• Break down complex problems into pragmatic technical solutions, estimates, and implementation plans.
• Own services and platform capabilities through design, delivery, and production operation.
• Lead the technical design of services and platform capabilities that support scale, resilience, and long-term evolution.
• Mentor other engineers through technical guidance, pairing, and day-to-day collaboration.
• Collaborate with architects and partner teams across the organisation to build solutions that benefit Expedia Group more broadly.
• Stay current with relevant technology trends and apply them thoughtfully to improve the platform and developer experience.

Technologies:

• AWS
• Cloud
• Hadoop
• Hive
• Support
• JVM
• Java
• Kotlin
• Network
• Spark

More:

We are Expedia Group, a global travel company powered by passionate people, trusted partnerships, and leading technology. We connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Our Data Lake and Catalog team is building the core of our Lakehouse and data discoverability capabilities, helping product and analytics teams find, understand, and trust the data they need. We support a flexible, inclusive environment guided by our five behaviors: Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together. This is a full-time role based in London. We also contribute to open-source communities and work with technologies such as Circus Train, Waggle Dance, and Apache Iceberg.

last updated 34 week of 2026