Overview

In this role, you will build and optimize scalable data pipelines and models to deliver analytics-ready data that enables data-driven decision-making. You’ll work within the Data Platform & AI Team to design batch and streaming pipelines, support BI with high-performance data models, and implement data quality and observability to maintain reliability. You’ll translate business needs into scalable data solutions and drive continuous improvement in data incidents. This position offers a chance to impact data-driven decisions across the organization while operating in a cloud-centric, FinOps-minded environment.

Retribuzione / Benefits

- €40,000–€50,000 gross salary
- corporate welfare services
- equal opportunity employer

Responsabilità

- Design, develop, and maintain scalable batch and streaming data pipelines for ingestion, transformation, and delivery
- Collaborate with BI teams to deliver data models, data marts, and semantic layers for business needs
- Implement data quality, monitoring,



and observability frameworks to ensure data reliability
- Manage data incidents with root cause analysis and continuous improvement to prevent recurrence
- Translate business and analytical requirements into scalable, maintainable data solutions

Requisiti fondamentali

- Minimum 5 years of professional data engineering experience
- Strong SQL skills
- Experience building transformation layers from raw data to analytics-ready datasets
- Experience with dbt or similar analytics engineering tools
- Cloud experience with at least one major provider (GCP, Azure, or AWS)
- Performance tuning, partitioning, pruning, and cost-efficient cloud usage (FinOps mindset)

- Clear communicator with both technical and non-technical stakeholders
- Curious and proactive problem-solver
- dbt or similar analytics engineering tools
- SQL proficiency
- Batch and streaming data pipeline development
- Data modeling for analytics-ready datasets

📌 Data Engineer (Monza)
🏢 Moncler
📍 Monza