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A leading technology firm is seeking a Senior Data QA Engineer to work remotely from Spain. In this role, you will review data documentation, conduct code reviews for ETL logic, and perform comprehensive data validation. The ideal candidate has over 3 years of experience in data testing and strong knowledge of Informatica IICS, SQL, and Snowflake. Join a dynamic team at the forefront of retail technology.
Senior Data QA Engineer Location: Remote from Spain (Spanish employment contract) Make retail great again through the power of technology! Intellias helps retailers provide consistent and customer-centric shopping experiences across all channels with disruptive retail tech solutions. Get on board and make your own contribution to the industry! Project Overview: A global quick-service restaurant (QSR) brand with a franchise-based operational model is embarking on a digital transformation journey to streamline and unify its data and operational landscape across multiple franchisees. The brand operates in highly competitive and fast-paced retail and food service markets, requiring consistent, real-time insights and operational efficiency.
This project focuses on designing and implementing a centralised data integration and reporting platform to address key systemic challenges across the organisation’s franchise network. Requirements: Fluent English and strong communication skills within technical and non-technical teams 3+ years of experience in
data testing
and
code review 1–2 years of hands-on experience with
Informatica IICS ,
SQL , and
Snowflake Solid understanding of ETL processes, data models, and transformation validation Experience working in
Agile methodologies , including sprint-based delivery and story refinement A hands-on, detail-oriented approach and strong sense of ownership for data quality Responsibilities: Review data-related documentation, requirements, and mapping specifications to ensure testability and clarity Conduct code
reviews for ETL logic
and transformation rules implemented in
Informatica IICS Perform comprehensive
data validation and testing
at various pipeline stages, including source, staging,
and final warehouse layers Verify output integrity in
Snowflake , using SQL queries to confirm logic accuracy and completeness Collaborate with developers, data engineers, and analysts in an Agile environment to support continuous delivery Log, document, and follow up on defects and data quality issues
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