Data Engineer - Senior

📋 Description

• Design, develop, and maintain scalable data solutions for a large-scale digital transformation.
• Build and optimize ETL/ELT pipelines to create analytics-ready datasets.
• Develop cloud-based data solutions in Microsoft Azure (Azure Data Factory, Databricks, Synapse
• Use Python and SQL to create data transformations and analytical solutions.
• Design data models and architectures for scalability, reliability, and quality.
• Work with Azure Databricks and Delta Lake for modern processing and storage.

🎯 Requirements

• At least 5 years of Python and SQL experience in data engineering.
• At least 3 years with Azure services (Storage, SQL, Synapse, networking).
• At least 3 years with Azure Databricks and Delta Lake.
• At least 3 years designing data solutions and analytics-ready datasets.
• At least 4 years of experience with version control systems (Git).
• At least 1 year practical experience using AI tools for code generation, data analysis, automation

🎁 Benefits

• Fully remote position, with flexibility to work from Slovenia.
• Opportunity to contribute to a large-scale digital transformation with significant data engineering
• Work with Microsoft Azure cloud data ecosystem and common data engineering technologies.
• Exposure to Azure Databricks, Delta Lake, Synapse, Data Factory, Python, and SQL.
• Opportunity to apply AI-powered engineering tools to improve development, automation, analysis, and
• Collaboration with multidisciplinary teams and business stakeholders.