AI Data Engineer

Introduction Welcome to Gallagher - a global community of people who bring bold ideas, deep expertise, and a shared commitment to doing what’s right. We help clients navigate complexity with confidence by empowering businesses, communities, and individuals to thrive. At Gallagher, you’ll find more than a job; you’ll find a culture built on trust, driven by collaboration, and sustained by the belief that we’re better together. Whether you join us in a client-facing role or as part of our brokerage division, our benefits and HR consulting division, or our corporate team, you’ll have the opportunity to grow your career, make an impact, and be part of something bigger. Experience a workplace where you’re encouraged to be yourself, supported to succeed, and inspired to keep learning. That’s what it means to live The Gallagher Way. How you'll make an impact Develops, maintains, and tests infrastructures for data generation Creates and maintains optimal data pipeline architecture and assembles data to meet business needs Assembles large, complex datasets that meet functional / nonfunctional business requirements Identifies, designs, and implements internal process improvements; automates manual processes , optimizing data delivery and redesigning infrastructure for greater scalability Builds infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and "big data" technologies Works with stakeholders including the Executive, Product, Data, and Design teams to assist with data related technical issues and support data infrastructure needs Keeps data separated and secure across national boundaries through multiples data centers and AWS regions Creates data tools for analytics and data scientist team members that that assist with building and optimizing products into innovative, industry leaders Oversees data generation infrastructure Builds analytics tools to provide actionable insights and assist data science and analytics team members with building bestinclass products Work with stakeholders to assist with data related tech issues and support data infrastructure needs CAREER: Applies advanced knowledge of sub-function typically obtained through advanced education and work experience. Responsibilities may include: • Managing products, systems and/or projects/processes, and working independently with limited supervision. • Facing IT function related problems that are sometimes difficult and moderately complex. • Coaching and reviewing the work of lower-level professionals. About You Required: • Typically requires a University Degree and minimum 5 years of prior relevant experience, or equivalent experience. Preferred: • SQL Python, Azure data factory, Data • Bricks, Spark (experience would be a plus) • Data transformation • Cloud Data Experience • Distributed data warehouse knowledge • Data Lakes • Communication and stakeholder management skills Compensation and benefits At Gallagher, we believe supporting our colleagues goes far beyond the role itself. For more information, visit our Benefits page. Competitive compensation Comprehensive benefits programs designed to support your well-being Career development opportunities and ongoing learning A collaborative, people-first culture with accessible leadership The opportunity to do meaningful work with global reach and local impact At Gallagher, we are dedicated to building an inclusive and authentic workplace. If your past experience doesn’t align perfectly, we encourage you to join our Talent Community to stay connected to additional career opportunities. At times, we will consider transferable skills from previous roles. Gallagher is an affirmative action/equal opportunity employer (Minorities/Females/Veterans/Disabled) Develops, maintains, and tests infrastructures for data generation Creates and maintains optimal data pipeline architecture and assembles data to meet business needs Assembles large, complex datasets that meet functional / nonfunctional business requirements Identifies, designs, and implements internal process improvements; automates manual processes , optimizing data delivery and redesigning infrastructure for greater scalability Builds infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and "big data" technologies Works with stakeholders including the Executive, Product, Data, and Design teams to assist with data related technical issues and support data infrastructure needs Keeps data separated and secure across national boundaries through multiples data centers and AWS regions Creates data tools for analytics and data scientist team members that that assist with building and optimizing products into innovative, industry leaders Oversees data generation infrastructure Builds analytics tools to provide actionable insights and assist data science and analytics team members with building bestinclass products Work with stakeholders to assist with data related tech issues and support data infrastructure needs CAREER: Applies advanced knowledge of sub-function typically obtained through advanced education and work experience. Responsibilities may include: • Managing products, systems and/or projects/processes, and working independently with limited supervision. • Facing IT function related problems that are sometimes difficult and moderately complex. • Coaching and reviewing the work of lower-level professionals. Required: • Typically requires a University Degree and minimum 5 years of prior relevant experience, or equivalent experience. Preferred: • SQL Python, Azure data factory, Data • Bricks, Spark (experience would be a plus) • Data transformation • Cloud Data Experience • Distributed data warehouse knowledge • Data Lakes • Communication and stakeholder management skills