Automation Engineer

PURVIEW; Barcelona; Presencial; EUR 65.000 - 100.000; Jornada completa

Descripción de la vacante

PURVIEW in Barcelona, Spain seeks a Data Quality & Testing Specialist to lead verification of data pipelines, schemas, and backend services across batch and streaming workloads.

You will implement Great Expectations and Soda, design test data management, and collaborate with data engineers and architects to enforce quality early in delivery. Based in Barcelona, the role emphasizes proactive testing strategies and reliability.

Formación

• Must ensure data quality and observability.
• Experience with data pipelines, batch and streaming testing.
• Familiarity with data mesh or data product architectures.

Responsabilidades

• Test Automation Architecture & Strategy for data pipelines, APIs, and backend services.
• Data Testing Framework Engineering with SQL-based assertions and reconciliation.
• Data Quality & Observability using Great Expectations and Soda.
• CI/CD & DataOps enforcement with pre-merge gates and release blockers.
• Test Data Management including synthetic data generation and masking.
• Performance, reliability, and security validation for data pipelines.

Conocimientos

Data Quality & Observability

API contract testing

UI automation

Data mesh

Herramientas

Great Expectations

Soda

Descripción del empleo

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