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Data Engineer

Pubblicato il 23-09-2026 - Moncler in Turbigo

Overview

Si ricordi di controllare il suo CV prima di candidarsi. Inoltre, si assicuri di leggere tutti i requisiti relativi a questo ruolo.
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

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- 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





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- 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

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

Compensation & Benefits

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- Application of CCNL Tessile
- Compensation package range: from 45.000 € to 50.000 € gross
- Competi

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