Kroll is a global leader in Risk and Financial Advisory services, operating at the intersection of data, technology, and complex decision-making. We are seeking a high-performing 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.
At Kroll, your work will help deliver clarity to our clients’ most complex governance, risk, and transparency challenges. Apply now to join One team, One Kroll.
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
Broader work or accountabilities may be assigned as needed
Continuously improve engineering processes, balancing speed, quality, and business impact
REQUIREMENTS:
Bachelor’s or master’s degree in computer science, engineering, or a related field
3+ 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, and SQL
Excellent communication skills
Ability to work with an international team
DESIRED SKILLS:
Cloud architecture principles: compute, storage, networks, security, cost
Ability to develop REST APIs, Python SDKs or Libraries, Spark Jobs
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
WHY THIS ROLE?
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
About Kroll
In a world of disruption and increasingly complex business challenges, our professionals bring truth into focus with the Kroll Lens. Our sharp analytical skills, paired with the latest technology, allow us to give our clients clarity, not just answering all areas of business. We value the diverse backgrounds and perspectives that enable us to think globally. As part of One team, One Kroll, you’ll contribute to a supportive and collaborative work environment that empowers you to excel.
Kroll is the premier global valuation and corporate finance advisor with expertise in complex valuation, disputes and investigations, M&A, restructuring, and compliance and regulatory consulting. Our professionals balance analytical skills, deep market insight and independence to help our clients make sound decisions. As an organization, we think globally and encourage our people to do the same.
Kroll is committed to equal opportunity and diversity, and recruits people based on merit.
In order to be considered for a position, you must formally apply via careers.kroll.com.
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