Lead - Data Engineer

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 flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role Are you passionate about solving complex problems? Do you thrive in a fast-paced environment? Then there’s a good chance you will love being a part of our Software Engineering – Development team at Kyndryl, where you will be able to see the immediate value of your work. The Data Engineer will be responsible for designing, building, optimizing, and maintaining scalable data infrastructure and data pipelines across hybrid on-premise and cloud-based data platforms. This role will support efficient data collection, ingestion, transformation, storage, processing, reporting, and analytics across banking domains including payments, finance, lending, investments, treasury, risk, and regulatory reporting. The candidate will ensure the stability, security, performance, and compliance of data platforms while enabling advanced analytics, BI reporting, and machine learning initiatives. Key Responsibilities Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, data models, and data integration frameworks. Build and support data infrastructure across on-premise, cloud, and hybrid data platforms. Work with large banking datasets across payments, lending, finance, accounting, risk, treasury, investments, and regulatory reporting domains. Develop optimized SQL queries, stored procedures, data transformation logic, and reusable data engineering components. Use Python and/or Scala / Java for data processing, automation, validation, and ...