Arthur J. Gallagher & Co.

Global insurance brokerage, risk management, consulting

Generative AI Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeNo salary listedIn-person

About the Job

Requirements

A university degree and a minimum of 3 years of prior relevant experience, or equivalent experience.

Responsibilities

Develop, maintain, and test infrastructure for data generation.
Create and maintain optimal data pipeline architecture and assemble data to meet business needs.
Assemble large, complex datasets that meet functional and nonfunctional business requirements.
Identify, design, and implement internal process improvements; automate manual processes, optimize data delivery, and redesign infrastructure for greater scalability.
Build infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies.
Work with stakeholders, including Executive, Product, Data, and Design teams, to assist with data-related technical issues and support data infrastructure needs.
Keep data separated and secure across national boundaries through multiple data centers and AWS regions.
Create data tools for analytics and data scientist team members to assist with building and optimizing products.
Oversee data generation infrastructure.
Build analytics tools to provide actionable insights and assist data science and analytics team members with building products.
Apply practical knowledge of the sub-function area typically obtained through advanced education and work experience.
Work independently with general supervision.
Address IT function-related problems that are difficult but typically not complex.
Potentially influence others within the function through explanation of facts, policies, and practices.

Desired Qualifications

Experience with SQL, Python, Azure Data Factory, Databricks, or Spark.
Knowledge of data transformation, cloud data, distributed data warehouses, and data lakes.
Communication and stakeholder management skills.

Introduction

Welcome to Gallagher in India — where expertise, technology, and purpose come together. Since 2006, Gallagher in India has supported global teams by delivering quality, service, and speed through deep expertise, smart technology, and specialized knowledge services. More than just an operations center, it’s a place where careers grow through collaboration, continuous learning, and purposeful work. We drive efficiency, compliance, and innovation so our teams can focus on serving clients. If you enjoy solving problems and working with purpose, Gallagher is the place where you can grow and feel a sense of belonging.

How you'll make an impact

Responsibilities:

Developes, maintains, and tests infrastructures for data generation. Creates and maintains optimal data pipeline archictecture 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 processesprocesses, 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 datarelated 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 datarelated tech issues and support data infrastructure needs.
INTERMEDIATE: Applies practical knowledge of sub-function area typically obtained through advanced education and work experience.

May require the following proficiencies:

Working independently with general supervision.
Facing IT function related problems that are difficult but typically not complex.
Potentially influencing others within the function through explanation of facts, policies and practices.

About you

Qualifications:

University Degree and minimum 3 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

Additional Information

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)

About the Company

Arthur J. Gallagher & Co.

Global insurance brokerage, risk management, consulting

Arthur J. Gallagher & Co. is a global insurance brokerage and risk management firm. It helps businesses, public entities, and individuals manage risk and obtain insurance through three segments: brokerage, risk management, and corporate. The brokerage unit offers a full range of retail and wholesale insurance brokerage and consulting services to match clients with coverage. The risk management unit handles contract claim settlements, claim administration, loss control consulting, and risk management information services to reduce exposures. The corporate unit oversees the company’s clean energy and other investments. The firm differentiates itself by providing end-to-end risk solutions across insurance placement, claims handling, risk counseling, and investment activities, rather than focusing on a single service. Its goal is to help clients manage risk effectively, protect assets, and pursue value through diverse investments, including clean energy.

Company size: 10,001+
Company stage: IPO
Headquarters: Itasca, IL
Founded: 1927

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