AI Quality Data Tester (Manual & Automation)

We are looking for a AI Quality Data Tester (Manual & Automation) o bridge the gap between traditional quality assurance and the future of AI-driven testing. In this role, you won't just write scripts; you will balance a strong foundation in manual exploratory testing with the adoption of cutting-edge AI automation tools, to ensure the quality, accuracy, and reliability of our digital experiences and data products from a BI and Data perspective. In this role, you won't just execute scripts; you will balance a strong foundation in manual exploratory testing and data validation with automated data testing frameworks. You will be responsible for designing thoughtful test strategies, manually validating complex end-to-end data workflows, and leveraging automated testing tools to scale our quality assurance loops and ensure "zero critical bugs" reach production.

Responsibilities

Evolve the Data Automation Excellence Strategy: Develop, maintain, and execute comprehensive test plans, automated scripts, and testing frameworks for data warehouse and BI solutions.; End-to-End Business & Data Validation: Manually map out complex business data workflows, create and maintain test data, and determine the optimal mix of manual and automated testing to validate end-to-end data integrity.; Defect Elimination & Root Cause Analysis: Identify, document, and conduct root cause analysis on defects, working closely with developers and analysts to proactively prevent technical debt and protect data architecture.; Liaise for Excellence: Collaborate with diverse cross-functional teams—including R&D, Data Engineering, Cloud, Security, and Business Operations—to promote data governance standards and build enterprise-grade data solutions.

Requirements

4+ Years of Data Quality Experience: Solid background in BI and data testing, with a strong understanding of data warehousing, BI concepts, and automated test execution.; SQL & Data Validation Mastery: Proficiency in complex SQL queries, advanced data validation, and experience with data visualization tools (e.g., Tableau, Power BI).; Data Governance & Quality Knowledge: An understanding of data governance, data management best practices, and how to test and ensure data quality, consistency, and accuracy across systems.; Architectural & Pipeline Vision: Ability to translate complex business and technical data realities into automated test strategies that support Continuous Integration/Continuous Delivery (CI/CD) at scale.; Leadership & Collaboration: A highly collaborative approach with a track record of building consensus and driving action. A high degree of initiative, assertiveness, responsibility, and strong attention to detail.; Communication & Tooling Expertise: Excellent written and verbal communication skills (fluency in English is mandatory) with experience using testing and tracking tools such as JIRA, HP ALM, or similar.; Automation & AI Integration: Experience in test automation, with an openness or early experience in leveraging AI tools (like Claude, Gemini, or UiPath) to speed up test creation and manual test case generation.

Nice to have

Experience in data migration projects is a strong plus.

Benefits

A company at the vanguard of the agentic revolution; Real growth opportunities through structured programs; Professional Development Fund; Internal Mobility Program; A global collective of world-class talent