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As a Principal Data Engineer at Nintex, you will lead the design and implementation of data pipelines, mentor other engineers, and ensure data availability for analytics. Your role includes coordinating data inputs, maintaining system stability metrics, and leveraging Azure technologies for efficient data operations.

As a Data Science Engineer, you will develop and implement advanced data science models, design, optimize and manage data pipelines, and work collaboratively with cross-functional teams to integrate data science methodologies into products. Continuous improvement of data processing accuracy and stakeholder communication are key responsibilities.

The consultant will lead and manage Professional Services projects and training sessions, utilizing Nintex products to solve business challenges. They will provide tailored solutions, collaborate with the Product Engineering team, and engage directly with customers to ensure satisfaction. Responsibilities include managing communications, configuring custom solutions, and applying best practices in solution design.