Data Engineer II - Trip Data Products Profile

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 Trip Data Products Profile team, a Data Engineering team partnering with Data Scientists, Data Analysts and Machine learning engineers to collaborate towards shared goals. The goal of the team is to evolve data products enabling discounts and insurances for our customers and providing critical reporting on Connected Trip. Upcoming goals include modernization of data products based on Order Platform data, creation of the next generation of Value Intelligence Platform, designing new data products based on Traveller Intelligence Platform.

Beyond that, our team continuously invests into creating tooling for data engineers (workflow SLIs, incident management) and shapes the data product concept.

As a Data Engineer, you will be ensuring we have high-quality data to power our business in all departments and we have high-quality tooling to increase velocity of data products development. Decisions for every part of our business are driven by petabytes of our data via Iceberg, Snowflake, Kafka, etc.

• 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, Flink, CDC, Kafka, Airflow, Snowflake, DBT or equivalent tools.
• Experience with Data Warehousing and ETL/ELT pipelines.
• Excellent English communication skills - verbal and written.

• 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 and bike reimbursement scheme.
• Discounts & Wallet credits to spend on our products, upgrade to  Genius Level 3, and friends & family  discount vouchers.
• Free access to online learning platforms, development and mentorship programs.
• Global…