Data Engineer
40.000 € - 50.000 €Moncler
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
Offerta di lavoro pubblicata 1 giorno fa
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