Data Engineering Lead

Welcome to Gallagher – a global leader in insurance, risk management, and consulting services. With a growing team of more than 52,000 professionals worldwide, we empower businesses, communities, and individuals to thrive. At Gallagher, you can build a career whether it’s with our brokerage division, our benefits and HR consulting division, or our corporate team. Experience The Gallagher Way, a culture fueled by shared values and a collective passion for excellence.

Join one of our dynamic teams, where you'll play a pivotal role in shaping Gallagher's future and unlocking unparalleled opportunities for both clients and yourself.

We believe that every candidate brings something special to the table, including you! So, even if you feel that you’re close but not an exact match, we encourage you to apply.

We are seeking a highly skilled and experienced Technical Lead - Data Engineering to join our dynamic team. The ideal candidate will lead the design, development, and implementation of data engineering solutions that support our business objectives. This role requires a strong technical background, leadership skills, and the ability to collaborate with cross-functional teams to deliver scalable and efficient data solutions.

• Lead the design, development, and maintenance of scalable data pipelines and architectures to support data integration, transformation, and analytics.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Oversee the implementation of data engineering best practices, including data governance, security, and quality standards.
• Mentor and guide a team of data engineers, providing technical expertise and fostering a culture of continuous learning and improvement.
• Evaluate and recommend tools, technologies, and frameworks to enhance the data engineering ecosystem.
• Ensure the performance, reliability, and scalability of data systems and processes.
• Work closely with data scientists, analysts, and other teams to enable data-driven decision-making across the organization.
• Monitor and troubleshoot data pipelines and workflows to ensure seamless operations.
• Stay updated on industry trends and emerging technologies in data engineering and analytics.

Preferred Qualifications:

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We offer a competitive and comprehensive compensation package. The base salary range represents the anticipated low end and high end of the range for this position. The actual compensation will be influenced by a wide range of factors including, but not limited to previous experience, education, pay market/geography, complexity or scope, specialized skill set, lines of business/practice area, supply/demand, and scheduled hours.

On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits.

Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve:

• Medic…