Data Engineer, Booking.com

• You have more than +3 years of professional experience as a Software Developer/Data Engineer and hold a degree in a quantitative field
• Proven knowledge of Python is required, Java/Scala will be a plus
• 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
• You have experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)
• You have knowledge of Spark, CDC, Kafka, Cassandra, Airflow, Snowflake, DBT or equivalent tools
• Experience with Data Warehousing and ETL/ELT pipelines
• Excellent communication skills - verbal and written
• Familiarity with the Hadoop Ecosystem is an asset

• In the Customer Data area, our mission is to create a competitive advantage by building a clear understanding of our travelers and partners through data
• Specifically, the vacancy is for a position within the Data Sourcery team, which is responsible for some data platform tooling/interaction plus a variety of data pipelines touching the Partner and Reservations domains, critical for thousands of data consumers in the decision making process
• Some upcoming projects include modernizing our reservation landscape pipelines to rely on new unified data sources being developed in the organization to support our Connected Trip vision every step of the way
• As a Data Engineer, you will be ensuring we have high-quality data to power our business in all departments
• Decisions for every part of our business are driven by petabytes of our data via MySQL, Iceberg, Snowflake, Cassandra, etc
• As a Data Engineer, you will be in charge of the development, performance, quality, and scaling of our data pipelines, 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, driving innovative engineering solutions to meet business requirements regarding performance, scaling, and data quality
• 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
• Serving as the main point of contact for technical and business stakeholders regarding data engineering issues, such as pipeline failures and data quality concerns
• Acquiring technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation

• The interview process entails: an online coding challenge, a coding interview, a system design interview, and a final behavioral interview

• 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.