Test Engineer (For temp workers)

The Trips Data Finance team is responsible for providing accurate and timely financial data from multiple sources across the business to our Enterprise Resource Planning (SAP) platform and other critical financial processes.

As a Test Engineer - Data, you will work with data-producing teams in the Trips Business Unit to improve the quality, reliability and trustworthiness of data products and financial data flows. You will partner with engineers, product managers and finance stakeholders in domains such as Trips Data Finance, where we provide accurate and timely financial data from multiple sources into our platform and other critical financial processes.

You will help teams design and implement effective validation for data pipelines, APIs and services, ensuring that data is correct, complete and timely, and that failures are surfaced early. We are looking for a proactive test engineer and strong communicator who can coach teams on data testing practices, set a strong testing strategy in the team, in line with the Booking.com Quality Strategy. and help teams take real ownership of their testing and quality outcomes.

Key Responsibilities and Duties

Testability

• Work directly with teams to improve their quality maturity in line with the Booking.com Quality Strategy, focusing on data pipelines, services and financial data flows.

  
  

• Embed testability in Definition of Ready/Done, including documented evidence and regular review of quality and observability metrics.

  
  

• Apply and operationalise requirements from regulated environments (e.g. SOX, GDPR/PII, DMA) in day-to-day work, ensuring they are reflected in test strategy, coverage and documentation.

  
  

• Introduce and support test tools for data quality, contract testing, automation, observability, experimentation and feature flagging.

  
  

• Drive observability using monitoring, alerts, dashboards, canaries and experiments to validate behaviour and data quality in production.

  
  

• Increase decomposability by promoting isolated component tests before end‑to‑end validation.

  
  

• Improve system controllability via clear inputs, configurations and test data to enable running scenarios consistently across environments.

  
  

• Define effective test environments (dev, test, pre‑prod, prod) with realistic, compliant data and stable infrastructure.

  
  

Test Advocacy

• Test with the team, not for the team coaching engineers so they understand and own the testing and quality checks of their products.

  
  

• Use strong written and verbal communication to explain testing concepts to technical and non-technical audiences, and to influence across teams and verticals.

  
  

Automation

• Design and evolve test approaches that cover appropriate levels (unit, component, contract, integration, end-to-end, data checks) and favour fast feedback loops.

  
  

• Ensure that validation is integrated into CI/CD pipelines and that failures prevent deployments when data quality is at risk.

  
  

• Advocate for and help teams adopt appropriate tools and frameworks (e.g. test automation frameworks, contract testing, data quality tooling, experimentation platforms and feature flagging) to improve coverage and confidence.

  
  

• Use surrounding technologies such as Git, CI/CD pipelines, Docker, Kubernetes and AWS to enable reliable and efficient automation.

  
  

• Design and maintain realistic mocks and stubs for upstream and downstream systems, keeping contracts aligned with production behaviour.

  
  

Data

… lees de volledige omschrijving bij Booking.com.