Mandatory Skills
- Programming & Framework Development
- Strong Python with experience building test frameworks, libraries, and CLI tools
- Advanced SQL for validation and reconciliation
- Data Engineering Ecosystem
- Hands on with DBT, Airflow, and Snowflake or similar platforms
- Strong understanding of ETL or ELT and data modeling concepts
- Data Quality & Observability
- Experience with Great Expectations, Soda, or similar tools
- Understanding of lineage and catalog systems
- Streaming Systems
- Experience testing Kafka, Kinesis, or similar systems
- Understanding of delivery semantics and event processing challenges
- CI/CD & DevOps
- Strong Git workflows
- CI/CD pipelines using Jenkins, GitHub Actions, or equivalent
- Cloud & Infrastructure
- AWS experience across data and compute services
- Familiarity with IaC tools like Terraform or Cloud Formation

Desired Skills
- Experience with API contract testing and tools like PACT




- Basic UI automation for end to end validation
- Exposure to data mesh or data product architectures
- Observability stacks such as Prometheus or Grafana
- Experience in regulated domains (healthcare, life sciences, finance)

Experience
- 9+ years in automation or quality engineering
- 5+ years building frameworks for data platforms at scale
- Proven track record of improving system reliability and reducing production incidents

What Success Looks Like (First 6-12 Months)
- A widely adopted, low friction test automation framework across teams
- Significant reduction in production data incidents and schema related failures
- Strong enforcement of quality gates in CI/CD pipelines
- Measurable improvement in data SLAs and observability
- Reduced test execution time with higher coverage and lower flakiness

📌 Automation Test Engineer (Madrid)
🏢 W3Global
📍 Madrid