Jobs

Senior Manager, Software Development Engineering (Data Lake and Catalog)
UK - London
·
On-site
·
Full-time
·
1w ago
Benefits & Perks
•Healthcare
•Parental Leave
•Flexible Hours
•Learning Budget
•Remote Work
•Healthcare
•Parental Leave
•Flexible Hours
•Learning
•Remote Work
Required Skills
System design
API development
Data modeling
Cloud architecture
Team leadership
Data infrastructure
AI/ML concepts
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.
Expedia Group seeks a motivated and results-oriented Senior Engineering Manager to join our Data Lake and Catalog team. As a Senior Engineering Manager on an industry-leading data platform, you will lead engineers building and operating the core of Expedia Group’s Lakehouse and Data Discoverabilitycapabilities. This platform serves as the foundation for data engineering, analytics, experimentation, and AI/ML across Expedia Group, providing governed and scalable access to data, enabling teams to easily find, understand, and trust the data they use.
You will collaborate with other experienced software engineers and leaders to drive improvements to our technology, design and develop new services and software solutions, embed AI across the platform, and build and track metrics to ensure high-quality results. You will work closely with business partners and leaders to influence and drive product vision and lead the design of our 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—this is a chance to shape the future of how Expedia Group stores, governs, and discovers data.
In this role, you will:
- Lead and grow a high-performing engineering team responsible for the design, development, and support of Expedia Group’s Data Lake and Catalog solutions.
- Drive the delivery of scalable, reliable, secure, governed, and cost-efficient technical solutions, ensuring alignment with organizational objectives and business requirements.
- Promote an SLO-driven culture, defining and tracking metrics to ensure high-quality results.
- Oversee end-to-end system and API architecture, enabling efficient storage and cataloguing across multiple domains.
- Champion the adoption and safe integration of AI/ML-enabled solutions to optimize data discovery, governance, and accessibility.
- Collaborate cross-functionally with product, architecture, and operations teams to deliver high-impact, data-driven outcomes.
- Foster a culture of engineering excellence, continuous improvement, and technical innovation within your team and organization.
Minimum Qualifications:
- Bachelor’s Degree or Equivalent Level; Technical Degree Preferred
- 8+ years of relevant professional experience and 3+ years of people management experience
- Proven ownership of multi-service, domain-level architecture and delivery for data infrastructure solutions
- Deep expertise in system design, API development, and data modelling within cloud-based environments
- Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products
Preferred Qualifications:
- Experience leading architecture and platform evolution for data lake and catalog solutions at enterprise scale
- Demonstrated success in operationalizing AI/ML-enabled features to enhance data quality, governance, or automation
- Track record of driving engineering best practices, including secure data handling and operational excellence
- Strong analytical and data-driven decision-making skills, with a focus on optimizing end-to-end data workflows
- Advanced knowledge of integrating and operating AI/ML-powered data discovery and cataloging tools in production environments
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®, Cheap Tickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, Car Rentals.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.
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About Expedia Group
Reviews
3.8
9 reviews
Work Life Balance
4.2
Compensation
3.5
Culture
4.1
Career
4.0
Management
3.4
75%
Recommend to a Friend
Pros
Supportive work environment and colleagues
Good work-life balance
Great benefits and perks
Cons
Poor management and leadership issues
Compensation below market rate
Organizational chaos from acquisitions
Interview Experience
7 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Final Round
2
Coding Assessment
3
Tech Round
4
HackerRank Round
5
Digital Interview
6
Final Interview
Common Questions
Technical coding problems
System design
Behavioral questions
Algorithm implementation
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