We are looking for an engaged and detail-oriented Data Engineerto join the Data Platform & AI Team at our HQ in Milan.
We are looking for an engaged and detail-oriented Data Engineerto join the Data Platform & AI Team at our HQ in Milan.
OverviewWe are looking for an engaged and detail-oriented Data Engineerto join the Data Platform & AI Team at our HQ in Milan.
Your ImpactThe 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.

QualificationsWho We Are Looking For:
- 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, w

📌 Data Engineer (Milano)
🏢 Pvh Italy
📍 Milano