This job is with Kyndryl, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly. Who We Are At 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 versatile, supportive environment where your well-being is prioritized and your potential can thrive. The Role Your role As 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 do Key Responsibilities Design and develop scalable data pipelines using Azure services Build and maintain ETL/ELT workflows for structured and unstructured data Implement data integration solutions across multiple sources Ensure data quality, security, governance, and compliance Optimize data processing performance and cost efficiency Develop reusable frameworks, standards, and best practices Monitor and troubleshoot Azure-based data pipelines Collaborate with cross-functional teams Support analytics, reporting, and machine learning initiatives Implement CI/CD pipelines and maintain documentation Required Qualifications 6-8 years of experience in Data Engineering Minimum 3 years of hands-on experience with Microsoft Azure data services Strong proficiency in SQL and Python Experience in building enterprise-scale ETL/ELT solutions Solid understanding of dat