Test Engineer

Role: Quality Test Engineering – Data & Automation

Location: Barcelona, Spain

Type: Contract

Job Description:

• Experience in automation, software quality, or Quality Engineering.
• Building and scaling automation frameworks for data-intensive or distributed platforms.
• Demonstrated success improving system reliability, reducing production incidents, and increasing automation coverage.
• Proven ability to influence engineering teams and establish quality practices at scale.

Programming & Framework Development

• Strong Python expertise with experience building test frameworks, libraries, and CLI tools.
• Advanced SQL skills for data validation, analysis, and reconciliation.
• Experience designing reusable, maintainable automation architectures.

Data Engineering

• Hands-on experience with modern data engineering platforms and orchestration tools.
• Strong understanding of ETL/ELT pipelines and data modeling.
• Experience working with cloud-based data platforms and large-scale datasets.

Data Quality & Observability

• Experience with modern data quality frameworks or equivalent solutions.
• Understanding of data lineage, metadata, cataloging, and data observability concepts.
• Ability to define meaningful data quality metrics and validation strategies.

Streaming Systems

• Experience testing event-driven and streaming systems.
• Understanding of event processing, delivery semantics, ordering, retries, and failure handling.

CI/CD & DevOps

• Strong Git and collaborative development workflows.
• Experience integrating automated testing into CI/CD pipelines.
• Understanding of quality gates, deployment controls, and automated release processes.

Cloud & Infrastructure

• Strong experience with cloud platforms and data/compute services.
• Familiarity with Infrastructure as Code and automated environment provisioning.
• Understanding of scalable and ephemeral test environments.

Desired Skills

• Experience with API and contract testing.
• Exposure to UI or end-to-end automation.
• Experience with data product or distributed data architectures.
• Familiarity with observability platforms and engineering metrics.
• Experience applying AI-assisted development and automation techniques.
• Exposure to governance, security, and compliance-oriented quality practices.