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 make. The journeys 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.

About The Team

The opening is for the Recommendation Platform team in the Central Tech department. The team is responsible for building and enabling ML decisioning for personalized recommendations across the site, and taking a key role in the new GenAI project - The AI Trip Planner. You’ll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. As a Data Engineer, you will be working with different teams throughout the company to ensure we have high-quality data from the ML platforms 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, S3 etc. Your challenge will be to make sure we can apply our petabyte-scale data even more effectively to support business decisions, train and monitor ML models and improve our products.

Key Job Responsibilities And Duties

As a Data Engineer, you will be in charge of the development, performance, quality, and scaling of our data pipelines coming from different sources, focusing especially on data quality. You will work independently and will also be responsible for making technical decisions within a team.

• Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
• Solving issues with data and data pipelines, prioritizing based on customer impact.
• End-to-end ownership of data quality in our core datasets and data pipelines.
• Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.
• Providing tools that improve Data Quality company-wide, specifically for ML scientists.
• Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.
• Acting as an intermediary for problems, with both technical and non-technical audiences.
• Promote and drive impactful and innovative engineering solutions
• Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation
• Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.
  
  

Role Qualifications And Requirements

We are looking for driven Data Engineers who enjoy solving problems, who initiate solutions and discussions and who believe that any challenge can be scaled with the right mindset and tools.

We have found that people who match the following requirements are the ones who fit us best:

• You have more than +3 years of professional experience as a Software Developer/Data Engineer and hold a degree in a quantitative field
• You have built production data pipelines in the cloud, setting up data-lake and server-less solutions; ‌ you have hands-on experience with schema design and data modeling and working with ML scientists and ML engineers to provide production level ML solutions.
• You have experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)
• Proven knowledge of Python is required, Java/Scala will be a plus
• Knowledge of Hadoop, Hive, Sqoop, MySQL imports, Oozie, Spark, CDC, Kafka, Cassandra, Airflow.
• Experience with Data Warehousing and ETL/ELT pipelines
• You are driven by petabytes of our data via MySQL, Hadoop, Cassandra, etc
• Excellent communication skills - verbal and written
• Experience with ML monitoring and evaluation tools (LLM models will be a plus).
  
  

Benefits & Perks: Global Impact, Personal Relevance

Benefits

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. Our Total Rewards strive to make it easier for you to experience all that life has to offer on your terms so that you can focus on what really matters. We offer competitive compensation as well as thoughtful, valuable, and even fun benefits which include:

• Headquarters located in one of the most dynamic and cosmopolitan cities in Europe: Amsterdam.
• Contribute to a high scale, sophisticated, world-class product and see the real time impact of your work on millions of travelers worldwide.
• Be part of a truly international fast paced environment and performance driven culture.
• Performance-based company that offers career advancement, and lucrative compensation, including bonuses and stock potential.
• Discount on Booking.com accommodations with the “Booking Deal” including other perks and benefits.
• Company-sponsored family and social activities to help our employees become integrated with each other and the company's culture.
• Diverse and creative colleagues from every corner of the world.
• Health, life, and disability insurance*
• 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 for yourself, friends, and family, including automatic Genius Level 3 status and quarterly Booking.com wallet credit.
• Free access to online learning platforms, development and mentorship programs, and a complimentary Headspace membership
• On-site meals, coffee, and snacks, including healthy and vegan options, daily*
  
  

#ThinkInclusion: Wellbeing & Inclusion at Booking.com:

Inclusion, Diversity, Belonging, Wellbeing and Volunteering (IDBWV) 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 create a unique 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 will ensure that individuals with disabilities are provided reasonable adjustment to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

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.

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.