Senior Data Platform Engineer (Data Lake and Catalog) in London

Senior Data Platform Engineer (Data Lake and Catalog) in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
United States Digital Space LLC

At a Glance

  • Tasks: Design and build scalable software for our data lake platform, ensuring high-quality results.
  • Company: Join a global travel company that connects millions of travellers with innovative technology.
  • Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative culture with a focus on mentorship and continuous learning.
  • Why this job: Make a real impact on how data is managed and accessed in the travel industry.
  • Qualifications: Experience in software engineering, cloud platforms, and strong problem-solving skills.

The predicted salary is between 60000 - 80000 £ per year.

At the company, we help travelers explore the world, one journey at a time.

As 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.

Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy.

Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work.

Join us and build for travelers everywhere.

  • the company seeks a motivated and results-oriented
  • Senior Software Engineer to join our

Data Lake and Catalog team.

As a Senior Software Engineer on an industry-leading data platform, you will build the core of the company’s Lakehouse and data discoverability capabilities, evolving how we store, govern, and expose data so product and analytics teams can easily find, understand, and trust the data they need.

You will collaborate with experienced software engineers and cross-functional partners to improve our technology, design and develop new services and software solutions, and build and track metrics to ensure high-quality results.

You will contribute to technical direction through strong engineering judgment, influence system design, and work closely with business partners to turn product vision into scalable, reliable systems.

We love contributing our work to open-source communities and have successfully done so with tools like Circus Train , a Hive dataset replication tool, and Waggle Dance , a federation service that allows access to data lake tables across multiple catalogs.

Recently, we added Hive support to Apache Iceberg , a high-performance open table format for large analytic datasets that underpins many modern Lakehouse architectures.

We guarantee you’ll learn a lot and won’t be bored!

What you'll do

  • 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 the company more broadly.

Stay current with relevant technology trends and apply them thoughtfully to improve the platform and developer experience.

Who you are

  • 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.

Accommodation requests the company is committed to providing an inclusive and accessible recruiting experience.

If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia. service-now. com/askeg?id=job_accommodation .

Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce.

All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

#J-18808-Ljbffr

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

We think you need these skills to ace Senior Data Platform Engineer (Data Lake and Catalog) in London

Software Engineering
Data Lake Architecture
Kotlin
Java
Hadoop Ecosystem
Spark
Hive