SrData Quality and Analytics Engineer (Bilingual ES/EN)

We are looking for a Senior Data Quality & Analytics Engineer to lead quality assurance, validation, release readiness, and testing strategy initiatives across enterprise analytics platforms and reusable data products.

This is not a traditional QA role focused on application or UI testing. We are seeking a professional with a strong background in Data Engineering, Analytics Engineering, Business Intelligence, Data Quality, or Analytics Platforms, who has actively participated in testing, validation, release management, and quality governance activities throughout the data lifecycle.

The ideal candidate understands how data flows across complex analytics ecosystems and can assess risk, validate transformations, ensure data integrity, and establish quality frameworks across data pipelines, semantic models, dashboards, and reporting solutions.

📍 Location: Remote from Colombia

🌎 English Level: B2+ to C1

💰 Salary: Based on experience, up to COP $12'000.000 monthly

✅ Applicants must reside in Colombia and be legally authorized to work in the country.

Inicial Requirements to apply

✅ Minimum 5 years of experience working with Data Engineering, Analytics Engineering, Data Platforms, or Business Intelligence solutions.

✅ Experience validating end-to-end data and analytics workflows, including data pipelines, transformations, semantic models, datasets, dashboards, and reporting solutions.

✅ Experience (5 years) in Data Quality, Analytics Testing, Release Readiness, QA processes, or equivalent responsibilities within data-driven environments.

💼 Required Experience

• 5+ years of professional experience working with data platforms, business intelligence, analytics, or data engineering solutions.
• Experience validating data pipelines, transformations, business rules, reconciliations, and reporting outputs.
• Strong experience with SQL and data validation techniques.
• Experience working with Power BI reports, datasets, semantic models, KPIs, measures, filters, and analytics solutions.
• Experience evaluating quality risks and ensuring release readiness for data products.
• Experience reviewing and challenging technical implementations from a data quality and architectural perspective.
• Proven experience creating regression strategies and validation approaches for complex analytics ecosystems.

Key Responsibilities

• Define risk-based testing and validation strategies for analytics platforms and reusable data products.
• Validate data pipelines, transformations, business logic, calculations, and reconciliation processes.
• Assess the impact of changes across upstream and downstream analytics components.
• Ensure the integrity and quality of semantic models, reports, dashboards, and datasets.
• Design and maintain regression validation approaches for analytics solutions.
• Lead defect triage, root cause analysis, retesting, and quality reviews.
• Establish traceability between requirements, acceptance criteria, and validation evidence.
• Conduct release-readiness assessments and provide quality recommendations before deployment.
• Partner with Data Engineers, Analytics Engineers, BI Developers, Architects, and Business stakeholders.
• Coach teams on quality practices, evidence standards, and validation approaches.

Additional Benefits

• Life insurance.
• Medical and psychological assistance programs.
• Discounts on gym memberships, optical services, English courses, and more.
• Full benefits package according to Colombian labor law.
• Professional growth opportunities through innovative technology and Artificial Intelligence projects.
• Continuous training and learning opportunities in emerging technologies.