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

#INDEU

📌 Automation Test Engineer (Data & Platform Engineering) (España)
🏢 W3Global EU
📍 España