Descrizione
Why Join Us At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500. We process massive, complex datasets, operate fully in the cloud ecosystem, and work with the latest technologies, including AI, ML, MLOps, and modern data architectures.
Our projects have measurable, real-world impact, from enhancing customer experiences at scale to empowering data-driven decision-making in high-visibility global organizations. As we continue to grow, you’ll have the opportunity to learn from experienced engineers, expand your skills, and take ownership of increasingly challenging initiatives. Opportunity Overview As a Data Engineer, you will build and maintain enterprise-level data pipelines on Azure and Databricks for global clients.
You’ll work with large-scale datasets and modern data architectures, growing your skills alongside experienced engineers. We’re open to both mid-level engineers and promising Junior+ candidates who are ready to take the next step. You’ll join a team of passionate engineers who value technical excellence, collaboration, and continuous growth.
Your
Responsibilities
Designing, building, and maintaining enterprise-level data pipelines on Azure and Databricks. Developing data processing logic in Python (including PySpark). Ensuring data quality, reliability, and performance of data workflows. Op
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