Data Engineer
Pubblicato il 04-10-2026 - MDOTM in Verona
We are looking for a Data Engineer to play a key role in shaping and scaling our platform as the organization grows in complexity and data maturity.
La preghiamo di leggere attentamente la seguente descrizione del lavoro per assicurarsi di essere la persona giusta per questo ruolo prima di candidarsi.
In this role, you will be responsible for designing and evolving the core data infrastructure that powers analytics, machine learning, and critical business decisions. You will take ownership of how data flows across the company, from ingestion to consumption, ensuring it is reliable, well-modeled, and accessible to a wide range of stakeholders.
Key Responsibilities
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- Design, build, and maintain production-grade data pipelines and data-intensive systems
- Configure, schedule, and monitor data pipeline execution to ensure reliability, maintainability, and timely delivery across all data processes
- Deploy and manage data infrastructure on AWS or on-premises, ensuring scalability, security, and cost-efficiency
- Monitor and optimize relational and NoSQL database performance (e.g.,
MySQL, PostgreSQL, MongoDB) to ensure efficient querying, indexing, and data access at scale
- Ensure reliable ingestion, transformation, and availability of large-scale and time-series financial data, considering financial-specific data quality characteristics.
- Implement and maintain data quality, validation, and monitoring mechanisms across data workflows
- Define and evolve data models and storage structures across relational and NoSQL systems
- Collaborate with Data Scientists and Analysts to ensure accurate and efficient data access for analytics and modeling use cases
- Optimize data processing workflows for performance, reliability, and operational stability
- Troubleshoot complex data issues and drive root cause analysis.
- Contribute to technical decision-making and help define the roadmap for data infrastructure.
Requirements
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- Degree in Computer Science, Engineering, or a