Key Responsibilities

- Test Automation Architecture &

• Strategy Data pipelines (batch and streaming) APIs and backend services

- Data Testing Framework Engineering SQL based assertions and reconciliation Schema validation and evolution checks
- Brake Systems Proactively (Destructive Testing Mindset) Schema drift and backward incompatibility Late arriving data and partial failures
- ETL and Streaming Validation at Scale Row, aggregate, and hash-based reconciliation Incremental and backfill validation
- Data Quality &

• Observability Integration Great Expectations, Soda Accuracy, completeness, uniqueness, timeliness

- CI/CD &

• DataOps Enforcement Pre merge gates and release blockers Selective and parallel test execution

- Test Data Management Synthetic data generation Masking and anonymization
- Performance &

• Reliability Testing Pipeline and query performance benchmarks,



Concurrency and stress testing

- Security &

• Compliance Validation PII or PHI exposure, Encryption and access control

- Cross Functional Quality Leadership Work with data engineers, platform teams, and architects to embed quality early, Challenge poor design decisions that impact reliability
- Incident xqbhyrx Analysis &

• Prevention Analyze production data issues and failure patterns, Reduce flaky tests and false alarms

Mandatory Skills
- Data Quality &

• Observability

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

📌 Automation Engineer (Barcelona)
🏢 PURVIEW
📍 Barcelona