Data Engineer
12 ore fa
Varese, Lombardia, Italia
Moncler
Tempo pieno
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Overview In this role, you will build and optimize scalable data pipelines and models to deliver analytics-ready data that enables data-driven decision-making. You’ll work within the Data Platform & AI Team to design batch and streaming pipelines, support BI with high-performance data models, and implement data quality and observability to maintain reliability. You’ll translate business needs into scalable data solutions and drive continuous improvement in data incidents. This position offers a chance to impact data-driven decisions across the organization while operating in a cloud-centric, FinOps-minded environment. Retribuzione / Benefits
* €40,000–€50,000 gross salary
* corporate welfare services
* equal opportunity employer Responsabilità
* Design, develop, and maintain scalable batch and streaming data pipelines for ingestion, transformation, and delivery
* Collaborate with BI teams to deliver data models, data marts, and semantic layers for business needs
* Implement data quality, monitoring, and observability frameworks to ensure data reliability
* Manage data incidents with root cause analysis and continuous improvement to prevent recurrence
* Translate business and analytical requirements into scalable, maintainable data solutions Requisiti fondamentali
* Minimum 5 years of professional data engineering experience
* Strong SQL skills
* Experience building transformation layers from raw data to analytics-ready datasets
* Experience with dbt or similar analytics engineering tools
* Cloud experience with at least one major provider (GCP, Azure, or AWS)
* Performance tuning, partitioning, pruning, and cost-efficient cloud usage (FinOps mindset)
* Clear communicator with both technical and non-technical stakeholders
* Curious and proactive problem-solver
* dbt or similar analytics engineering tools
* SQL proficiency
* Batch and streaming data pipeline development
* Data modeling for analytics-ready datasets
* €40,000–€50,000 gross salary
* corporate welfare services
* equal opportunity employer Responsabilità
* Design, develop, and maintain scalable batch and streaming data pipelines for ingestion, transformation, and delivery
* Collaborate with BI teams to deliver data models, data marts, and semantic layers for business needs
* Implement data quality, monitoring, and observability frameworks to ensure data reliability
* Manage data incidents with root cause analysis and continuous improvement to prevent recurrence
* Translate business and analytical requirements into scalable, maintainable data solutions Requisiti fondamentali
* Minimum 5 years of professional data engineering experience
* Strong SQL skills
* Experience building transformation layers from raw data to analytics-ready datasets
* Experience with dbt or similar analytics engineering tools
* Cloud experience with at least one major provider (GCP, Azure, or AWS)
* Performance tuning, partitioning, pruning, and cost-efficient cloud usage (FinOps mindset)
* Clear communicator with both technical and non-technical stakeholders
* Curious and proactive problem-solver
* dbt or similar analytics engineering tools
* SQL proficiency
* Batch and streaming data pipeline development
* Data modeling for analytics-ready datasets