Senior Data Engineer

Who We AreAt Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.The RoleYour roleAs an AI Data Engineer at Kyndryl, you'll be the architect behind the high-performance data infrastructure that powers our autonomous systems. We aren't just moving tables; we're building the real-time pipelines that allow agentic AI to reason over the world's most complex enterprise environments.Join Kyndryl and gain the trust, autonomy and teamwork to help define what comes next.What you will doKey ResponsibilitiesDesign and develop scalable data pipelines using Azure servicesBuild and maintain ETL/ELT workflows for structured and unstructured dataImplement data integration solutions across multiple sourcesEnsure data quality, security, governance, and complianceOptimize data processing performance and cost efficiencyDevelop reusable frameworks, standards, and best practicesMonitor and troubleshoot Azure-based data pipelinesCollaborate with cross-functional teamsSupport analytics, reporting, and machine learning initiativesImplement CI/CD pipelines and maintain documentationRequired Qualifications6-8+ years of experience in Data EngineeringMinimum 3+ years of hands-on experience with Microsoft Azure data servicesStrong proficiency in SQL and PythonExperience in building enterprise-scale ETL/ELT solutionsSolid understanding of data modeling principlesTechnical SkillsAzure Technologies:Azure Data Factory (ADF), Azure Analytics, Azure SQL DatabaseAzure Databricks, Azure Blob Storage, Azure Key VaultAzure Monitor, Microsoft Entra I