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 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 Systems Engineer (Barcelona)
🏢 PURVIEW
📍 Barcelona