Senior Data Engineer

We're seeking a Senior Data Analyst who combines strong analytical insight with hands-on data engineering skills. You will design and maintain data pipelines, optimize data models, and develop reporting solutions that enable reliable analytics and governance at scale. This is an individual contributor role where technical depth, analytical thinking, and cross-functional collaboration are key to success.

The responsibilities and requirements of this role are illustrated below:

Data Engineering and Pipeline Development

• Build, maintain, and optimize data pipelines and ETL/ELT processes to support enterprise data products and analytics.
• Integrate data from diverse systems, ensuring consistency, quality, and traceability.

Partner with engineers and architects to enhance the firm's Azure-based data platform, including Data Factory, Synapse, and Data Lake.
- Implement data transformation and validation logic for improved performance and accuracy.

Analytics and Business Insight

• Translate business requirements into data models, metrics, and visualizations that drive decision-making.
• Develop dashboards and reports in Power BI or Tableau that communicate insights effectively to stakeholders.
• Use SQL and Python to perform ad hoc analyses, identify patterns, and quantify business performance.
• Support the definition and monitoring of enterprise KPIs and data quality metrics.

Governance and Data Quality

• Collaborate with the CDO's data governance and stewardship teams to ensure data is well-documented, accurate, and compliant with standards.
• Maintain metadata and lineage documentation to support enterprise data catalog initiatives.
• Contribute to the continuous improvement of data quality, integrity, and accessibility across the organization.

Cross-Functional Collaboration

• Work closely with business, engineering, and data science teams to operationalize analytical solutions.
• Act as a bridge between technical and business domains, ensuring requirements are clearly understood and delivered.
• Operate within an agile environment, managing priorities independently and delivering high-quality results on time.

Requirements:

• Proven experience of 4-7 years in data analytics or data engineering roles with end-to-end data pipeline exposure.
• Strong proficiency in SQL, data modeling, and relational/non-relational database design.
• Experience with ETL tools and data orchestration frameworks (e.g., Azure Data Factory, Databricks, Airflow).
• Proficiency in Python and libraries such as Pandas or NumPy.
• Experience building dashboards and visualizations in Power BI or Tableau.
• Familiarity with data governance, metadata management, and data cataloging principles.
• Excellent analytical problem-solving and communication skills.
• Comfortable working independently while collaborating across teams and time zones.

Preferred Skills

• Experience with Azure Data Platform (Synapse, Data Lake, Purview).
• Familiarity with API-based integrations and data automation using Python or cloud functions.
• Understanding of master data management (MDM) and data lineage tools.
• Exposure to Agile/Scrum delivery methodologies.
• Certifications in Data Analysis, Data Engineering, or Cloud Platforms (Azure preferred).

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 answers—in 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 .