Senior Data Engineer — Scalable Pipelines & Analytics

PVH Italy; Milano; Ibrido; EUR 40.000 - 50.000; Tempo pieno

Vantaggi offerti da questo lavoro

CCNL Tessile

Corporate Welfare Services

Descrizione del lavoro

Moncler Group in Milan is seeking a Data Engineer to join the Data Platform & AI Team at our Milan HQ. You will design and optimize scalable data pipelines and models to deliver analytics-ready data for the business.

You will collaborate with BI teams, implement data quality and observability, and translate business needs into robust data solutions. The ideal candidate has 5+ years in data engineering, strong SQL, and hands-on cloud experience (GCP/AWS/Azure).

Competenze

• Minimum 5 years of professional experience in data engineering or related role.
• Strong SQL skills.
• Experience building transformation layers from raw or semi-structured data into clean, analytics-ready datasets.
• Experience with dbt or similar analytics engineering and transformation tools.
• Strong understanding of query optimization and cost efficiency with a FinOps mindset.
• Hands-on experience with at least one major cloud provider (GCP, Azure, or AWS).

Mansioni

• Design, develop, and maintain scalable batch and streaming data pipelines for data ingestion, transformation, and delivery.
• Collaborate with BI teams to provide high-performing data models, data marts, and semantic layers.
• Implement data quality, monitoring, and observability frameworks to ensure data reliability.
• Manage data incidents through root cause analysis, resolution, and continuous improvement.
• Translate business and analytical requirements into scalable, maintainable data solutions.

Conoscenze

SQL skills

Data pipelines

Cloud experience

5+ years

Data modeling

FinOps

Strumenti

dbt

GCP

AWS

Azure

Descrizione del lavoro

Moncler Group in Milan is seeking a Data Engineer to join the Data Platform & AI Team at our Milan HQ. You will design and optimize scalable data pipelines and models to deliver analytics-ready data for the business.

You will collaborate with BI teams, implement data quality and observability, and translate business needs into robust data solutions. The ideal candidate has 5+ years in data engineering, strong SQL, and hands-on cloud experience (GCP/AWS/Azure).