Wetravel·about 20 hours ago
Hi! 👋 I’m Tara, BI Manager at WeTravel, based in the US 🇺🇸 I work closely with teams across Product, Finance, Sales, and Operations, and data sits at the center of almost everything we do. As WeTravel continues to grow globally, the complexity and importance of our data grows with it.
We’re looking for a curious, impact-driven Data Engineer to help us scale our data platform and make sure teams across the company can rely on clean, trustworthy, well-modeled data to do their best work.
This role is ideal for someone who enjoys building reliable systems, digging into messy data, and improving the foundations that analytics and decision-making depend on.
WeTravel is building the leading booking and payments platform for group travel and multi-day tour operators.
Travel organizers around the world use WeTravel to create trip proposals, manage bookings, and securely process payments, without relying on spreadsheets, emails, or fragmented tools. Our platform helps them focus on what matters most: creating meaningful travel experiences.
As WeTravel grows, data plays a critical role in how we understand our product, support our customers, and make better decisions across the business. From payments and revenue to product usage and subscriptions, reliable data is essential to everything we do.
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.
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
Work is prioritized through a centralized process, so you can focus on execution and reliability rather than ad-hoc stakeholder requests.
Our data team balances ownership with collaboration.
You’ll have autonomy to design and improve data infrastructure, while working closely with BI, Analytics, and Engineering partners to solve real business problems. We operate in bi-weekly sprints, prioritize work intentionally, and focus on building systems that are resilient and easy to maintain.
We care deeply about doing things the right way: clean data models, thoughtful documentation, and pipelines teams can trust. Your work will be visible, impactful, and used daily across the company.
We’re a growing team, still figuring things out, and we value people who are comfortable with that ambiguity and enjoy improving systems over time.
Basic qualifications
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
Are primarily interested in analytics, dashboards, or reporting ownership
Prefer highly structured environments with fixed processes and little ambiguity
Expect to work mainly on greenfield architecture rather than improving existing systems
Are uncomfortable owning production pipelines and being accountable for data reliability
Make a real impact by shaping the data foundations of a growing global platform
Work on meaningful problems around payments, subscriptions, and product usage
Join a collaborative, international team that values trust, ownership, and quality
See your work used daily to inform decisions across Product, Finance, and Go-To-Market teams
Competitive salary.
Generous "Time to Recharge" policy — enjoy unlimited paid time off to rest, recharge, and show up as your best self.
Work remotely for a maximum of 4 weeks per calendar year.
2-week cross-functional onboarding program.
Annual team off-site (often somewhere sunny 🌊).
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 — take time to give back to causes you care about, on us.
Cutting-edge equipment and tools to set you up for success.
Join an international, travel-loving team with a passion for adventure and innovation.
Employer-sponsored pension plan with a 2% employer contribution deposited into your individual pension account.
Access to a 10% group discount on supplementary/additional health insurance (aanvullende verzekeringen), with the same discount available to eligible family members.
WeTravel is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds, experiences, and perspectives. If you're excited about this opportunity and believe you're a good fit, we encourage you to apply and join us in transforming the travel industry!