About the role

The Data Engineer will design, develop, and maintain scalable batch and streaming data pipelines to support analytics and business decision-making. They will also collaborate with BI teams to create high-performing data models and implement frameworks for data quality and observability.

What they look for

SQL Data Engineering Data Pipelines Dbt Cloud Computing GCP Azure AWS Data Modeling Performance Tuning FinOps Data Quality Monitoring Observability Problem-solving

Requirements

Candidates must have at least 5 years of professional experience in data engineering and strong proficiency in SQL. Experience with cloud platforms, transformation tools like dbt, and a FinOps-oriented mindset regarding cloud resource usage is required.

Benefits

Corporate Welfare Services

Full description

Overview

We are looking for an engaged and detail-oriented Data Engineer to join the Data Platform & AI Team at our HQ in Milan.

Your Impact

The Data Engineer will build and optimize scalable data pipelines and models, delivering reliable, analytics-ready data and enabling data-driven decision-making across the organization.

In particular, the resource will be responsible for:

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 that support business needs.
Implement data quality, monitoring, and observability frameworks to ensure data reliability and proactively identify issues.
Manage data incidents through root cause analysis, resolution, and continuous improvement to prevent recurrence.
Translate business and analytical requirements into scalable, maintainable, and efficient data solutions.

Qualification

Who We Are Looking For: Main qualifications:

Minimum 5 years of professional experience in data engineering or a closely 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 and workload optimization, including performance tuning (partitioning, pruning, query optimization) and cost efficiency, with a FinOps-oriented mindset for cloud resource usage.
Hands-on experience with at least one major cloud provider (GCP, Azure, or AWS).

We Would Appreciate a Person Who Is:

Able to communicate clearly with both technical and non-technical people
Curious and proactive, with a strong problem-solving mindset

Compensation & Benefits:

Application of CCNL Tessile
Compensation package range: from 40.000 € to 50.000 € gross
Competitive Corporate Welfare Services

Moncler Group is an equal opportunity employer, which means we do not discriminate on the basis of ethnic origin, skin color, religion, civil status, age, nationality, ancestry, any form of disability or neurodivergence, medical condition, gender, gender identity or expression, sexual orientation. We celebrate diversity