This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
This Data Engineer role sits at the intersection of engineering and analytics, with a strong focus on data infrastructure, pipelines, and reliability. You’ll work alongside our existing Data Engineer to design, build, and maintain the systems that move data from raw sources into our data warehouse, where it can be safely used by Analytics, Product, Finance, and Go-To-Market teams. This is not an analytics or reporting role. Your primary responsibility is to ensure that data is accurate, available, and scalable, so others can confidently use it downstream.
Job Responsibility:
Design, build, and maintain scalable ELT/ETL pipelines ingesting data from product databases, third-party tools, and external partners
Own and evolve WeTravel’s data warehouse and data models to support analytics, dashboards, and downstream use cases
Ensure data quality, reliability, and observability through testing, monitoring, documentation, and proactive issue detection
Support analytics and BI use cases related to subscriptions, payments, revenue, churn, and cohort analysis by delivering clean, well-structured data
Optimize data performance, cost, and scalability as data volume and complexity grow
Establish and promote best practices for data modeling, naming conventions, and governance
Work closely with Analytics, Product, Finance, and Engineering teams to translate data needs into durable, maintainable solutions
Requirements:
3+ years of experience as a Data Engineer or in a role heavily focused on data pipelines and data warehouses
Strong SQL skills and experience modeling data for analytics and reporting
Experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift
Familiarity with ELT tools like Fivetran or Airbyte, and transformation frameworks such as dbt
Proficiency in at least one programming language commonly used in data engineering, such as Python
Understanding of data quality, testing, and monitoring concepts
Ability to work independently, take initiative, and communicate clearly with non-technical partners
Nice to have:
Experience in SaaS, fintech, or subscription-based businesses
Familiarity with product analytics or experimentation data
Exposure to BI tools such as Tableau, Looker, or Mode
Experience supporting metrics like MRR, churn, expansion, and cohort retention
Background in enabling self-serve analytics for business teams
What we offer:
Competitive salary
Generous 'Time to Recharge' policy — enjoy unlimited paid time off
Work remotely for a maximum of 4 weeks per calendar year
2-week cross-functional onboarding program
Cycle-to-work scheme (Swapfiets subscription) or commuting reimbursement
Tuesday team lunches and after-work social events
Beautiful office in central Amsterdam – rooftop garden and right by Rokin metro
Extensive paid family leave
Three paid volunteer days per year
Cutting-edge equipment and tools
Employer-sponsored pension plan with a 2% employer contribution
Access to a 10% group discount on supplementary/additional health insurance