This job is with, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
At, data drives our decisions. Technology is at our core and innovation is everywhere. But our company is more than just datasets, lines of code or A/B tests. We're the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journey you take. The sights you see and the food you sample. Through our products, partners and people, we can empower everyone to experience the world.
The Data team's responsibilities include data platforms, warehousing, enrichment and machine learning functionality, enabling teams across the organisation to understand and manage our business performance and improve the experience of our customers. You will be responsible for delivering products that advance data excellence and innovation within your product team, and across the business, helping us shape 's data journey.
As a Data Analytics Engineer II, you are independent in:
Driving the implementation of reliable and well trusted metrics defined by the business, connecting disparate datasets into unified data products in the Lakehouse and/or Data Warehouse.
Producing curated, reusable analytical data products to enable self-serve analytics for many internal customers across departments.
Modeling data following best practices and Data Warehousing methodologies such as Data Vault and (Kimball) Dimensional modeling.
Transforming large, complex data sets into pragmatic, actionable insights and providing them in a consumable format for historical or predictive analysis.
Performing Data Governance responsibilities such as technical stewardship, data classification, compliance management, data quality monitoring, and security considerations.
Building data visualizations to trial/validate data products you build before releasing to consumers.
Maintaining and tuning data pipeline health, including troubleshooting issues, implementing data quality controls, monitoring performance, and proactively addressing issues and risks.
Building data pipelines end to end.
Leading the technical resolution of problems, and communicating them to both technical and non-technical audiences.
Supporting product teams in defining the Data Architecture for their domains, from conceptual to physical modeling in the Data Warehouse.
As a Data Analytics Engineer II, you have experience in:
Entering a new area, owning the quality of the data, and working with product owners and scientists to develop the analytics backlog.
Working alone and self-steering initiatives, defining and breaking down work for more junior members of the team.
Driving the culture across the business unit for data quality and data governance and its best practices.
Actively contributing to the growth of the Data Engineering community at through training, exploration of new technologies, interviewing, onboarding and mentoring colleagues.
Minimum of 3 years of experience in a data or software adjacent field, working with systems and data infrastructure at scale.
As a Data Analytics Engineer II, you are independent in:
Designing and implementing mature Data Warehouse pipelines using Data Vault and/or Dimensional modeling methodologies.
Working with ETL/ELT tools and methodologies.
Working with workflow management and scheduling tools such as Apache Airflow or Argo.
Working with relational databases and any flavor of SQL in an analytical context.
Building data exploration/visualization and designing data story telling.
Excellent communication (written and spoken) and stakeholder management.
Writing and maintaining high-quality and reusable code, applying design patterns and meeting coding standards.
Benefits
's Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to- benefits which include:
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and wallet credit
Inclusion At
Inclusion has been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.
Take it from our Chief People Officer, Paulo Pisano: "At, the diversity of our people doesn't just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It's a place where you can make your mark and have a real impact in travel and tech."
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.
Application Process
This section should provide:
Let's go places together: How we Hire
If applicable: Detailed instructions on post-application requirements including any required application materials, deadlines, portfolios, coding challenges, or other assessments as defined by BU or department.
This role does not come with relocation assistance.
is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.