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Data Engineer II

Booking.com

Booking.com

Data Science
Tel Aviv-Yafo, Israel
Posted on Jun 24, 2024

Job Description

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 following day. The friends one makes. The journeys one takes. The sights one sees. And the food one samples. Through our products, partners and people, we can empower everyone to experience the world

We're a global e-commerce company with business operations in nearly every country and city. We want to make it easy for everyone, anywhere in the world, to pay for their travel or do business with our platform whenever and however convenient for them.

The opening is for the cml core platform team in the Central Tech department.

About The Team:

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.

What We Do:

  1. Feature Engineering for facilitating easy, reliable, and fast creation, storage, and retrieval of machine learning features for model training and serving.
  2. Ensuring quick integrated solutions by evaluating solutions within Booking ecosystems and from third-party vendors, balancing quick delivery with long-term effectiveness.
  3. Scaling for Millions by building with scale in mind as our models serve millions of users daily.

Your Role:

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

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 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

Benefits & Perks: Global Impact, Personal Relevance

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

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.