Data Engineer II - Marketplace

About Us:

At , 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.

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  You will have a chance to help one of the largest travel websites in the world!

Specifically, the vacancy is for a position within the Booking Ads team, a multi craft team we are partnering with where Data Engineers, Data Scientists, Data Analysts and Machine learning engineers collaborate towards shared goals. The goal of the team is to optimize ads display options and modalities for partners/booking revenues and traveller relevancy. Some upcoming projects include evolving the data foundation to improve reporting based on ads bidding data from our third party providers, bootstrapping the native ads offering on our platform and provide reusable data assets to enhance machine learning models.

As a Data Engineer II, 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 II, 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.
• 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.

• 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, No
  
  SQL, etc).
• You have knowledge of Spark, CDC, Kafka, Cassandra, Airflow, Snowflake, DBT or equivalent tools.
• Experience with Data Warehousing and ETL/ELT pipelines.
• Excellent English communication skills - verbal and written.

’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well  benefits which include:

• Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave.
• Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country).
• A beautiful sustainable HQ Campus in Amsterdam, that offers on‑site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office.
• Commuting allowance…