Data Platform Engineer (w/m/d)
Core
Build and operate a modern analytical data platform serving as the core of the company's digital transformation, including ML model operations for disposition algorithms.
Role type
Senior Data Platform Engineer (Analytics & ML Ops)
Builds
Modern data platform, data marts, and AI-based disposition algorithms
Domain
Media distribution, logistics, and data engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Cloud Data Warehouses (Snowflake), dbt (Core/Platform), ELT, Medallion Architecture, Analytics-as-Code, CI/CD
Preferred skills
Azure (ADLS, ADF), Kimball modeling, BI tools (QlikSense), MLOps, Python, scikit-learn, XGBoost
Technologies
Snowflake, dbt Platform, Azure, GitLab, QlikSense, Azure ML
Responsibilities
Monitor data pipelines and incident response, administer Snowflake and Azure infrastructure, develop and test dbt models, manage source system connections, operate and monitor ML-based disposition algorithms, support stakeholders with ad-hoc analysis
Seniority
Senior, hands-on IC