Data Engineer - Trip Foundations

Amsterdam, Netherlands

Applications have closed

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Company Name: Booking

Job Description

Data Engineer - Trip Horizontals Tripsengineering Tripsflights

About the company

Not long ago, booking a trip to see the Eiffel Tower, stroll down New York’s iconic Madison Avenue or feel the sand between our toes on Copacabana Beach was complex and time consuming. Now it is simply a matter of a few taps on our smartphone.

In fact, that’s what we do at Booking.com. We make it easier for everyone to experience the world. 

Across our offices worldwide, we continue to innovate. To solve some of the most complex challenges in travel and technology, planning for the exciting developments that lie ahead. With strategic long-term investments into what we believe the future of travel can be, we are opening up new career opportunities that will have a strong impact on our mission.

We are united in the belief that our very human desire to explore the planet’s beauty and discover more about other people and cultures will endure. The world is waiting for us. 

Booking.com core values

  • Think customer first
  • Succeed together
  • Own It
  • Learn Forever
  • Do the Right Thing

 

About the team

Trip Horizontals 

The Trips mission is to provide travellers with the most seamless booking experience and best value on everything they need for their trip. From a customer perspective it means providing a connected multi-product offering from accommodation to flights to cars and more. We believe the intelligent combination of everything you need for your trip will be more valuable for customers and will help to define the future of travel and Booking.com.

As part of Trip Horizontals we aim to help our customers discover more for their next trip. You’ll connect and work with teams all across the company to help develop and deliver insights into customer behaviour, promotional performance, as well as estimating new opportunities for the business.

Our ideal candidate has an excellent eye for detail, pragmatic approach and an absolute commitment to making sure features are well implemented and bug free. We make all of our decisions based on experiments and testing, so you should be excited by taking a data-led approach to development. If you believe you’re also a passionate advocate for the user, and are looking to work in an agile, collaborative environment then we would like to hear from you!

 

  1. Responsible 

As a Data Engineer, you’ll join the Trips Business Unit to work alongside curious, energetic, and focused people. You are responsible for delivering our vision to create a fully integrated, scalable, high performance and compliant data platform and pipelines. You’ll help roadmap and deliver replacements for the current ad-hoc data solutions with strong foundations built on modern technologies and practices that will make it easy to produce large quantities of high quality data for consumption and analysis .

Important aspects and responsibilities of the job include:

 

Data engineering

  • Using standardized tooling and procedures work with business users to model and implement data pipelines which are performant, scalable, secure, well governed with robust monitoring and alerting.
  • Diagnose and solve customer issues with data and data pipelines. Perform root cause analysis and where appropriate enhancements to prevent recurrence.
  • End-to-end ownership of data quality in our core datasets and data pipelines. Engage with other teams to help them identify and resolve data quality issues.
  • Keeping the data complete, accessible, and consumable in an environment of rapid product development
  • Be responsible for maintaining data security, integrity and governance by effectively following company standards and best practices
  • Be an evangelist for data quality, governance, security etc. with your colleagues in product and engineering
  • Adhere to the defaults principles for architecture, quality and non-functional requirements
  • Design, build, test, deliver and support quality code in line with guidance and best practices of the department, following standard testing techniques and methods that adhere to the test strategy
  • Contributing to the growth of Booking.com through interviewing, on-boarding, or other recruitment efforts

 

End to end System Ownership

Work with teams who wish to produce data to ensure such things as data cataloging, governance, life span, SLO and quality are all considered.

Work with our data analytical community supporting them with complex data mining, analysis and profiling. 

Be responsible to reduce business risks by applying state-of-the-art practices, tooling, and writing appropriate documentation such as runbooks and OpDocs

 

Critical thinking

Is responsible for systematically identifying patterns and underlying issues in complex situations to find solutions by applying logical and analytical thinking.

 

Continuous Quality and Process Improvement

Is responsible  for the design and implementation of relevant improvements by defining adapted/new process flows, standards, and practices that enable business performance

 

Effective communication

Is responsible for delivering clear, well-structured, and meaningful information to a target audience by using suitable communication mediums and language tailored to the audience

Is responsible for achieving mutually agreeable solutions by being adaptable, communicating ideas in clear coherent and compelling language

Is responsible for asking relevant (follow-up) questions to properly engage with the speaker and really understand what they are saying, by applying listening and reflection techniques

 

  1. Skilled 

We are looking for driven Data Engineers who enjoy solving problems, are proactive, collaborative and goal orientated. Who are communicative and believe that any challenge can be scaled with the right mindset, collaboration and tools:

  • Demonstrable experience of building big data pipelines in distributed environments with Kafka, Hadoop, Spark.
  • Experience with PySpark
  • Experience of embedding data governance, quality, lineage, retention,  monitoring and alerting into pipelines
  • Passionate about Continuous Integration, Continuous Delivery and Agile
  • Good understanding of security principles and writing secure code
  • Experience of working on large scale, well governed and compliant systems
  • Good understanding of basic analytics and machine learning concepts
  • Excellent communication, written and spoken
  • Understanding of cloud security best practices
  • Experience with a cloud platforms (AWS preferable)

 

Level of education - Appropriate degree or suitable background and experience

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, colour, religion, gender, gender identity or exp

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Architecture AWS Big Data Data governance Data Mining Data pipelines Data quality Engineering Hadoop Kafka Machine Learning Pipelines PySpark Security Spark Testing

Perks/benefits: Career development Startup environment

Region: Europe
Country: Netherlands
Job stats:  11  0  0
Category: Engineering Jobs

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