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We are seeking a high-performing Senior Data Engineer to help build and scale the data infrastructure that powers analytics, automation, and AI across the firm. This role is for candidates who want real engineering responsibility, not shadow work. You will design and implement production-grade data pipelines, work with cloud-native tooling, and partner with senior engineers and data scientists on systems that matter.
Day-to-day responsibilities:
Design and build scalable organizational data infrastructure and Medallion architecture within a Lakehouse environment
Develop robust, fault-tolerant ETL/ELT applications for seamless data ingestion, transformation, and distribution to enable analytics, reporting, and AI workloads
Work with different stakeholders and teams to assist with data related technical solutions and support their data infrastructure needs
Explore and experiment with new use cases, frameworks, and tools to enhance AI capabilities, ensuring data integrity, quality, and reliability
Identify and implement infrastructure re-designs to improve scalability, optimize data delivery, and automate manual workflows
Choose the best tools/services/resources to build robust data pipelines
Collaborate with cross-functional teams to understand data requirements, create robust data models, and deliver actionable insights
Monitor, troubleshoot, and optimize jobs for performance, addressing data pipeline bottlenecks and ensuring cost efficiency
Continuously improve engineering processes, balancing speed, quality, and business impact
Coach, mentor, and provide technical guidance to junior engineers, fostering a culture of continuous learning and development
Stay updated on emerging technologies and trends in data engineering, recommending and implementing innovative solutions
Essential traits:
Bachelor’s or master’s degree in computer science, engineering, or a related field
5+ years of proven experience in data engineering, delivering business-critical software solutions for large enterprises with a consistent track record of success
Experience writing ETL/ELT jobs
Experience with Azure and Databricks Platform
Experience with Python, SQL, and REST APIs
Excellent communication and the ability to reason about trade-offs
Ability to work with an international team
Cloud architecture principles: compute, storage, networks, security, cost
Proficiency in using open-source tools, frameworks like FastAPI, Pydantic, Polars, Pandas, Delta Lake, Docker, Kubernetes
Knowledge of CI/CD, Git, or infrastructure-as-code concepts
Strong project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously in an Agile environment
Understanding of how data engineering feeds into Business Intelligence and reporting tools (Power BI/Tableau)
Strong problem-solving and analytical skills
Strategic thinker and strong execution orientation
Ability to work in cross-functional teams
Attention to detail and data quality
About Kroll
Join the global leader in risk and financial advisory solutions—Kroll. With a nearly century-long legacy, we blend trusted expertise with cutting-edge technology to navigate and redefine industry complexities. As a part of One Team, One Kroll, you'll contribute to a collaborative and empowering environment, propelling your career to new heights. Ready to build, protect, restore and maximize our clients’ value? Your journey begins with Kroll.
In order to be considered for a position, you must formally apply via careers.kroll.com.
Kroll is committed to equal opportunity and diversity, and recruits people based on merit.
The current salary range for this position is $90,000 to $110,000 CAD
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