Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.
Introduction to the Team The Competitive Intelligence Data Platform team is responsible for building high‑quality data products that can be leveraged by Pricing, Marketing Managers, analysts, and ML scientists to power use cases that optimise EG's inventory, availability, and pricing in support of multiple teams across the EG business. We are looking for a Data Engineer with experience in AI capabilities in building data products and applications, who can craft, develop, and own the next generation of scalable real-time and batch data products and services.
**In this role, you will: **
- Design, build, and maintain reliable, high-quality data pipelines and ETL/ELT processes that enable analytics, reporting, and data-driven product features across multiple domains.
- Implement scalable data models, storage patterns, and APIs that support batch and streaming workloads while ensuring data quality, accuracy, and consistency.
- Collaborate with software engineers, data scientists, and product teams to understand data needs, translate requirements into technical solutions, and deliver well-documented, reusable datasets.
- Develop, optimize, and monitor data workflows and jobs for performance, cost efficiency, and operational robustness, including alerting, logging, and failure recovery.
- Apply and extend standard data engineering practices for security, privacy, governance, and compliance, including metadata management, lineage, and access control.
- Safely integrate and operate AI/MLenabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.
Minimum Qualifications:
- Bachelor's degree in Computer Science or a related technical field; or Equivalent related professional experience.
- 2+ years of relevant professional experience, modernize data stacks including Scala/Java, Python, Spark, Airflow and AWS Data Stack.
- Professional experience as a data engineer or similar role building and operating production-grade data pipelines, data models, or data services.
- Hands-on experience with at least one programming language commonly used in data engineering and with SQL for querying, transforming, and validating data.
- Experience owning and operating data workflows or services, including monitoring, troubleshooting, and improving reliability and performance.
Preferred Qualifications:
- Experience designing and optimizing large-scale data pipelines, including data modelling, partitioning, and performance tuning for high-volume datasets.
- Background working with distributed data processing, storage, or streaming technologies to support real-time and batch data products in production.
- Demonstrated track record of improving data quality, observability, and governance through automation, standards, and tooling across services or domains.
- Familiarity with AI-driven systems, tools ( Claude, Cursor ) or workflows and applying AI/ML concepts to real world products, including safely integrating data for AI/ML enabled solutions.
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
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.