Senior Data Test Engineer

This is a fully remote position, open to applicants in Spain.

📋 Description

• Develop and implement testing strategies for data pipelines and analytical solutions.

• Confirm data flows throughout the bronze, silver, and gold medallion architecture layers.

• Assess ETL processes, which include data quality rules, exception handling, defaulting logic, and transformation accuracy.

• Ensure data consistency, completeness, and integrity between source and target systems.

• Validate outputs from self-service analytics, focusing on presentation logic, calculations, filters, and aggregations.

• Evaluate reporting solutions for precision, usability, and alignment with business needs.

• Identify, document, and address defects, inconsistencies, and data-related issues.

• Collaborate with data engineers, business analysts, developers, and stakeholders to clarify requirements and expected results.

• Provide insights on senior testing criteria, risk-oriented thinking, and quality recommendations throughout the delivery lifecycle.

⛳️ Requirements

• Extensive experience as a Test Engineer, QA Engineer, or Data Test Analyst in complex data environments.

• Practical experience in testing medallion architecture or layered data architectures.

• Significant experience in validating ETL processes.

• In-depth understanding of data quality testing, including completeness, accuracy, duplication, reconciliation, and consistency checks.

• Experience in testing exception scenarios, defaulting rules, and edge cases within data pipelines.

• Proven experience in validating self-service analytics solutions, including calculations, aggregations, data presentation, and reporting outputs.

• Capability to work independently.

• Strong analytical skills and attention to detail.

• Effective communication skills with both technical and business stakeholders.

• Background in banking, financial services, or other highly regulated environments.

• Familiarity with cloud-based data platforms or modern data lakehouse methodologies.

• Knowledge of SQL for data validation and reconciliation purposes.

• Experience with BI or reporting tools such as Power BI, Tableau, Qlik, or similar platforms.

• Experience working within Agile delivery teams.

• Exposure to automated data testing frameworks or test management tools.

🏝️ Benefits

• Training and career development opportunities.

• Private medical insurance.

• Life insurance coverage.

• Language lessons provided.

• Opportunity to be part of a multicultural team.

• Engage in international projects.