Data Engineer
Core
Building and maintaining scalable data infrastructure, pipelines, and warehouse/lake environments to support analytics, AI, and operational efficiency for executive search and leadership advisory.
Role type
Data Engineer
Builds
Scalable data pipelines, data structures, source systems, and warehouse/lake environments
Domain
Executive search and leadership advisory
Deliverable
production ML models | infrastructure
Required skills
SQL, complex stored procedures, data structures, database objects, data models, data normalization, data transformation techniques, ETL processes, data governance, project management
Preferred skills
Emerging technologies, best practices, data management practices
Technologies
SQL, ETL, warehouse/lake environments
Responsibilities
Design, develop, maintain, and evolve scalable data pipelines and data structures; Partner with stakeholders to structure and analyze data from various sources; Manage projects from inception to completion; Document data models, dictionaries, data flow maps, and metadata; Support current ETL processes and monitor data pipelines; Implement data capture, ETL, validation, and QA; Enforce data governance and security policies.
Seniority
Mid-Senior (5-7 years experience)
