Senior Data Test Engineer

Talan

2d•Remote

About The Position

We are looking for a Senior Test Engineer to join a data and analytics project involving modern data platforms, ETL processes and reporting solutions. The role is focused on validating data flows across architecture layers, ensuring data quality, testing exception scenarios and confirming the accuracy of calculations, aggregations and presentation layers. This is a strong opportunity for a testing professional with solid experience in data environments, especially those familiar with medallion architecture, ETL validation and business-facing analytics solutions. The position can be performed remotely from Spain.

Requirements

Senior-level experience as a Test Engineer, QA Engineer or Data Test Analyst in complex data environments.
Hands-on experience testing medallion architecture or layered data architectures.
Strong experience validating ETL processes.
Solid understanding of data quality testing, including completeness, accuracy, duplication, reconciliation and consistency checks.
Experience testing exception scenarios, defaulting rules and edge cases in data pipelines.
Experience validating self-service analytics solutions, including calculations, aggregations, data presentation and report outputs.
Ability to work autonomously
Strong analytical mindset and attention to detail.
Good communication skills to interact with both technical and business stakeholders.

Nice To Haves

Experience in banking, financial services or highly regulated environments.
Experience with cloud-based data platforms or modern data lakehouse approaches.
Knowledge of SQL for data validation and reconciliation.
Experience with BI or reporting tools such as Power BI, Tableau, Qlik or similar.
Experience working in Agile delivery teams.
Previous exposure to automated data testing frameworks or test management tools.

Responsibilities

Design and execute test strategies for data pipelines and analytics solutions.
Validate data flows across medallion architecture layers, such as bronze, silver and gold.
Test ETL processes, including data quality rules, exception handling, defaulting logic and transformation accuracy.
Verify data consistency, completeness and integrity across source and target systems.
Validate self-service analytics outputs, including presentation logic, calculations, filters and aggregations.
Test reporting solutions to ensure accuracy, usability and alignment with business requirements.
Identify, document and follow up on defects, inconsistencies and data issues.
Collaborate with data engineers, business analysts, developers and stakeholders to clarify requirements and expected results.
Contribute senior testing criteria, risk-based thinking and quality recommendations throughout the delivery lifecycle.