Analytics Engineer (m/f/d)
Core
Design, build, and optimize scalable data models and semantic layers to transform raw data into clean, reliable datasets for analytics, reporting, and operational use.
Role type
Analytics Engineer
Builds
Scalable data models, clean datasets, semantic layers, and data governance frameworks
Domain
Data Engineering / Analytics
Deliverable
production ML models
Required skills
SQL, data modeling (dimensional modeling, star schemas), dbt, CI/CD, cloud data warehouses (Snowflake, BigQuery, Redshift), data quality checks, semantic layer development
Preferred skills
AI-assisted development workflows, data governance, harmonization, automation
Technologies
dbt, Snowflake, BigQuery, Redshift, CI/CD tools
Responsibilities
Design and optimize scalable data models; Transform raw data into clean, documented datasets; Implement and maintain data quality checks and monitoring; Develop and manage semantic layers; Collaborate with data engineers, analysts, and stakeholders to define data requirements; Document data models, definitions, and workflows
Seniority
Mid-level, hands-on IC
