About Us
At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than 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 encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.
Role Description
This role is based in Amsterdam. The scope of the Accommodation team touches all the products that relate to Accommodations, from the platform to the end-user and everything in between. This is the largest and fastest growing department at Booking.com. You will have a chance to help one of the largest travel websites in the world!
As a Data Scientist Analytics Engineer, you will be working with partners throughout the company to ensure we have high-quality data to power our business in all departments. Decisions for every part of our business - from the front end experience to performance marketing to partner products - are driven by petabytes of our data via MySQL, Hadoop, Cassandra, etc. Your challenge will be to make sure we can apply our petabyte-scale data even more optimally to support business decisions and improve our products. Joining a multi-functional team of developers, data scientists, machine learning scientists and product owners, we invite you to help us crunch the data to ensure our place as the planet’s #1 accommodation site.
Key Job Responsibilities And Duties
As a Data Scientist Analytics Engineer, you will be in charge of the development, performance, quality, and scaling of our data and metrics generating pipelines. You will work closely with a team of Data Scientists and Analysts as well as product.
- Develop scalable, flexible, and high-performance datasets and metrics by building data pipelines that process large amounts of data and power business critical decision making.
- Partner with analysts, data scientists and product stakeholders on the data needs for metrics, dashboards, and analytic capabilities that will have the greatest impact on business decisions.
- Promote and drive impactful and innovative engineering solutions through your own work as well as acting as an intermediary for problems and connecting the work of software engineers to analytics stakeholders.
- End-to-end ownership of data and metrics quality in your team’s datasets and pipelines.
- Abstract patterns across dashboards and analyses in order to simplify and reuse code and data across the workflows involved. Optimize the analytics workflows to achieve scale and reliability.
- Help drive the modernization of Booking’s analytics systems, partnering with the data platform teams to leverage and influence the latest technologies. Be a force for keeping data and systems current with the latest technologies.
Qualifications & Skills
- You have 3+ years of professional experience in the broad field of Data Engineering and hold a Master’s degree in a quantitative field.
- You have experience working directly in Analytics or Data Science, or have collaborated on E2E projects with colleagues specializing in these topics before
- You have a working knowledge of the statistics behind A/B testing and are comfortable with basic modeling techniques such as linear regression.
- You have experience designing systems E2E, going from problem statements via ideation to data and metrics in production.
- You have strong coding/problem solving skills with core Python.
- You have knowledge of Hadoop, Hive, Oozie, Kafka, Airflow.
- Experience with Data Warehousing and ETL/ELT pipelines at scale
- Excellent communication skills with both technical and product stakeholders - verbal and written
Benefits & Perks - Global Impact, Personal Relevance
Booking.com’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-Booking.com 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 Booking.com wallet credit
Diversity, Equity and Inclusion (DEI) at Booking.com
Diversity, Equity & Inclusion have 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 Booking.com, 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
- Let’s go places together: How we Hire
- This role does not come with relocation assistance.
Booking.com 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.
Pre-Employment Screening
If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.
