Data Engineer, Corporate Data
Core
Build and scale data infrastructure and analytics for HR functions to support talent acquisition, development, and retention strategies.
Role type
Senior Data Engineer (People Analytics)
Builds
Data warehouse schemas, ETL pipelines, and secure data structures for People metrics.
Domain
Human Resources / People Analytics / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL pipeline development, SQL (complex queries), Airflow DAG authoring, dbt, Databricks, AWS cloud architecture, data observability, data governance, system documentation.
Preferred skills
First-principles problem solving, business acumen, data storytelling, peer training.
Technologies
Airflow, dbt, Databricks, AWS, SQL
Responsibilities
Architect data infrastructure for People data, design data warehouse schemas, develop ETL pipelines for data profiling and transformation, support self-service analytics projects, ensure data integrity across People metrics, document system requirements, train peers on new processes, build data governance frameworks.
Seniority
Senior, hands-on IC
