Intern, Technology – Data Engineering

Kroll • Toronto, ON

9d

About The Position

Kroll is a global leader in Risk and Financial Advisory services, operating at the intersection of data, technology, and complex decision-making. They are seeking a high-performing Data Engineering Intern to help build and scale the data infrastructure that powers analytics, automation, and AI across the firm. This role offers real engineering responsibility, involving the design and implementation of production-grade data pipelines, work with cloud-native tooling, and partnership with senior engineers and data scientists on critical systems. At Kroll, the work helps deliver clarity to clients’ most complex governance, risk, and transparency challenges. Kroll is the global leader in risk and financial advisory solutions with a nearly century-long legacy, blending trusted expertise with cutting-edge technology to navigate and redefine industry complexities. As part of One Team, One Kroll, you'll contribute to a collaborative and empowering environment, propelling your career to new heights.

Requirements

• Currently pursuing a degree in Computer Science, Data Engineering, or a closely related technical field
• Graduation date between December 2026 and September 2027
• Strong command of SQL and at least one programming language (Python preferred)
• Solid understanding of data structures, algorithms, and systems fundamentals
• Experience building data pipelines or backend systems through coursework, research, or personal projects
• Comfort working in cloud environments
• Clear technical communication and the ability to reason about trade-offs

Nice To Haves

• Hands-on experience with cloud platforms (AWS, GCP, or Azure)
• Familiarity with modern data stacks (ETL/ELT pipelines, orchestration, data warehouses/lakes)
• Experience with version control, CI/CD, or infrastructure-as-code concepts
• Exposure to BI or analytics tooling (e.g., Power BI)
• Prior internship or demonstrable project work showing ownership of production-quality systems

Responsibilities

• Collaborate with cross-functional teams to understand business needs and provide data-driven insights
• Build and maintain scalable, reliable data pipelines supporting analytics, reporting, and AI workloads
• Explore and experiment with new use cases frameworks and tools to enhance AI capabilities
• Engineer data ingestion and transformation workflows across structured and semi-structured sources
• Deploy and monitor data workflows in cloud environments, with an emphasis on reliability and observability
• Contribute to technical documentation and design discussions with senior engineers

Benefits

• Work on real systems in production, not toy problems
• Learn how enterprise-scale data platforms are designed, operated, and evolved
• Direct mentorship from senior engineers and data leaders
• Meaningful impact on firm-wide analytics and automation initiatives
• A high-bar engineering environment focused on quality, scale, and long-term thinking
• Salary range: $25 to $28 CAD

What This Job Offers

• Career Level: Intern
• Number of Employees: 1,001-5,000 employees