Data Engineer

Moncler; Turbigo; On-site; EUR 45,000 - 50,000; Full time

Benefits offered by this job

Competitive Corporate Welfare Services

Job summary

Moncler is seeking a detail-oriented Data Engineer to join the Data Platform & AI Team at our Milan HQ. The role involves building and optimizing scalable data pipelines and models, facilitating data-driven decision-making across the organization.

Candidates require a minimum of 5 years in data engineering, strong SQL skills, and hands-on experience with major cloud providers. The compensation package ranges from 45,000 € to 50,000 € gross annually along with competitive corporate welfare services.

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 tools.
• Hands-on experience with at least one major cloud provider (GCP, Azure, AWS).

Responsibilities

• Design, develop, and maintain scalable data pipelines for data ingestion and transformation.
• Collaborate with BI teams to provide high-performing data models and data marts.
• Implement data quality and monitoring frameworks to ensure data reliability.
• Manage data incidents through root cause analysis and resolution.

Skills

SQL

Data engineering

Data transformation

Cloud services (GCP, Azure, AWS)

Performance tuning

Job 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.

Responsibilities

• 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.

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).

Preferred Attributes

• 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 45.000 € 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.