Data Engineer, Booking.com

• 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
• 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 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)
• You have built production data pipelines in the cloud, setting up data-lake and server-less solutions; ‌
• Proven knowledge of Python is required, JVM languages will be a plus
• Knowledge of Snowflake, Hadoop, Hive, MySQL imports, Airflow, Oozie, Spark, CDC, Kafka
• Experience with Data Warehousing and ETL/ELT pipelines
• Experience with ML monitoring and evaluation tools such as DBT
• You are excited by handling petabytes of data via Big data technologies
• Excellent communication skills - verbal and written

• Machine Learning, and AI in general, are integral to booking.com's goal of making it easier for everyone to experience the world.
• Central Machine Learning (CML) powers many of booking's flagship ML capabilities.
• The CML Core Platform team mission is to develop a shared serving, data and ML infrastructure to all CML platforms and to connect these with other platforms across the company
• Feature Engineering for facilitating easy, reliable, and fast creation, storage, and retrieval of machine learning features for model training and serving
• Ensuring quick integrated solutions by evaluating solutions within Booking ecosystems and from third-party vendors, balancing quick delivery with long-term effectiveness
• Scaling for Millions by building with scale in mind as our models serve millions of users daily
• As a Data Engineer, you will be in charge of the development, performance, quality, and scaling of our data pipelines, focusing especially on data integrity and quality.
• You will work independently and will also be responsible for making technical decisions within a team
• End-to-end ownership of data integrity and quality in our data pipelines
• Providing tools that improve Data Quality company-wide
• Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise
• Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality
• Rapidly developing next-generation scalable, flexible, and high-performance data pipelines
• Solving issues with data and data pipelines, prioritizing based on customer impact
• Acting as an intermediary for problems, with both technical and non-technical audiences
• Supplying to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide
• 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

• Headspace Subscription
• Anniversary Leave
• Travel Credit
• Unlimited e-learning
• Booking Cares Volunteer Days
• Local Benefits: vary by country, but often include flex time, vacation days, health insurance, retirement savings, and much much more!

Booking.com has established itself as a leading digital travel company. The company reaps the benefits of its status in the market and is currently in a stronger position than its up-and-coming competitors such as Expedia, Trivago and Trip.com. Airbnb represents the sharing economy and acts as a disruptive force in this market but still has ways to go to compete with Booking.com.