ph3Overview /h3 pWe are looking for an engaged and detail-oriented bData Engineer /b to join the Data Platform AI Team at our HQ in Milan. /p h3Your Impact /h3 pThe 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. /p h3Responsibilities /h3 ul liDesign, develop, and maintain scalable batch and streaming data pipelines for data ingestion, transformation, and delivery. /li liCollaborate with BI teams to provide high-performing data models, data marts, and semantic layers that support business needs. /li liImplement data quality, monitoring, and observability frameworks to ensure data reliability and proactively identify issues. /li liManage data incidents through root cause analysis, resolution, and continuous improvement to prevent recurrence. /li liTranslate business and analytical requirements into scalable, maintainable, and efficient data solutions. /li /ul h3Qualifications /h3 ul liMinimum 5 years of professional experience in data engineering or a closely related role. /li liStrong SQL skills. /li liExperience building transformation layers from raw or semi-structured data into clean, analytics-ready datasets.



/li liExperience with dbt or similar analytics engineering and transformation tools. /liliStrong 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. /li liHands‑on experience with at least one major cloud provider (GCP, Azure, or AWS). /li /ul h3Preferred Attributes /h3 ul liAble to communicate clearly with both technical and non-technical people /li liCurious and proactive, with a strong problem‑solving mindset /li /ul h3Compensation Benefits /h3 ul liApplication of CCNL Tessile /li liCompensation package range: from 45.000 € to 50.000 € gross /li liCompetitive Corporate Welfare Services /li /ul pMoncler 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. /p /p #J-18808-Ljbffr

📌 Data Engineer (Turbigo)
🏢 Moncler
📍 Turbigo