COMPANY OVERVIEW

KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.

POSITION SUMMARY

We are seeking a highly skilled and intellectually curious Engineer to enhance our data retrieval, analytical capabilities, and modelling processes for KKR Credit & Markets. This role focuses on leveraging data engineering and analytical techniques to optimize our data-driven decision-making and operational workflows. You will play a pivotal role in developing tools, building in-house capabilities, and driving innovations in asset-backed investment analytics and modelling.
The ideal candidate will have an engineering or computer science background, a passion for solving complex problems within a rich business domain, and the ability to drive long-term technical initiatives as part of a global team.

REQUIREMENTS

• Strong programming skills and experience with database technologies e.g., SQL, Snowflake, Spark or similar.
• Expertise in data pipelines and data integration tools e.g. DBT, Dagster.
• Understanding of data modelling and architecture design.
• Strong problem-solving and critical-thinking abilities.
• Cultural fit – teamwork, proactive/self-starter, results oriented and integrity.
• Working knowledge of Cloud Architecture, Linux, Docker/Kubernetes.
• Familiarity with visualization tools (e.g., Tableau, Power BI) and/or Intex Tools is a plus.

#LI-ONSITE

KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law

• Design and Build the Data Warehouse
• Architect and implement a robust in-house data warehouse using data from existing investments and third party data warehouses
• Ensure scalability, performance, and reliability of the data infrastructure and structure.
• Collaborate with stakeholders to identify and integrate key data sources and data pipelines.
• Data Governance and Security
• Establish protocols for data consistency, quality, and security.
• Implement best practices for data governance and compliance.
• Enable Advanced Analytics and Reporting
• Develop pipelines to support sophisticated analytical models, visualizations, and business intelligence tools.
• Collaborate with investment teams to ensure the warehouse meets analytical requirements.
• Facilitate reporting automation to streamline decision-making processes.
• Long-Term Impact
• Reduce dependency on external data providers and mitigate licensing risks.
• Create a scalable foundation for future data initiatives, including advanced forecasting and performance visualization projects.