Data Engineer II - Marketplace at Bookingcom
1AC, Noord-Holland, Netherlands -
Full Time


Start Date

Immediate

Expiry Date

09 May, 25

Salary

0.0

Posted On

09 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Cassandra, Pipelines, Airflow, Data Warehousing, Cdc, Dbt, Python, Snowflake, Spark, Data Modeling, Kafka

Industry

Information Technology/IT

Description

Role Description:
About Us: 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 next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.

QUALIFICATIONS & SKILLS:

  • 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
Responsibilities

ROLE DESCRIPTION:

This role is based in Amsterdam. The scope of the Marketplace team touches all the products that relate to Trip Management, from the platform to the end-user and everything in between. This is the largest and fastest growing department at Booking.com. You will have a chance to help one of the largest travel websites in the world!
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.

KEY JOB RESPONSIBILITIES AND DUTIES:

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
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