Data Engineer (For temp workers)

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 for some of the most complex challenges in travel and technology, and to plan 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

  
  
  

• Trips Business Unit (TBU) direction

At Booking.com we’re working to seamlessly connect every aspect of travel, and the TBU team is one of the cornerstones of our connected trip vision. We’re dedicated to helping travellers uncover the best transport options available to them around the world. To do this we need to offer the broadest selection of bookable transport options, and effortlessly match the right options to the right person at the right time. Our goal is to offer travellers the widest choice and the best customer experience no matter what transport option they choose.

B. 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 .

Senior data engineers are expected to coach and mentor more junior engineers and be a thought leader in their team ensuring best practices are being implemented

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 and contribute to the evolution of best practices, principles for architecture, quality and non-functional requirements

  
  

• Experimenting with new tools and technologies to drive forward engineering excellence

  
  

• 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

Architectural guidance

• Has sufficient knowledge to advise product teams towards a technical solution that meets the functional, nonfunctional & architectural requirements by challenging the rationale for an application design and providing context in the wider architectural landscape

Critical thinking

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

Coaching/Mentoring

• Has sufficient knowledge to coach, guide and improve the overall performance of stakeholders and colleagues at all levels, when appropriate, by sharing experience, knowledge and approaches to work

Continuous Quality and Process Improvement

• Is responsible for identifying opportunities for process, system and structural improvements (i.e. performance gains) by examining and evaluating current process flows, methods and standards.

  
  

• 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

B. 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:

  
  

• Minimum of 5+ years experience of building big data pipelines in distributed environments with Kafka, Hadoop, Spark (would consider Python) and DBT. Experience of embedding data governance, quality, lineage, retention, monitoring and alerting into pipelines

  
  

• Solid data modelling skills (Dimensional, Data Vault)

  
  

• 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

  
  

• Experience and a passion for leading, guiding and coaching your fellow team members both technically and procedurally

  
  

• 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)

• 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 expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.