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WeTravel Logo WeTravel · IT - Software Development

Data Engineer

Netherlands, Amsterdam 65000.00 - 75000.00 EUR / Year · Job Posted February 21, 2026
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Job Description

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
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