Data Engineer - Senior

📋 Description

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

🎯 Requirements

• At least 5 years Python and SQL in a data engineering environment.
• At least 3 years Azure services experience (Azure Storage, Azure SQL, Azure Synapse, networking).
• At least 3 years Azure Databricks and Delta Lake experience.
• At least 3 years designing data solutions and analytics-ready datasets.
• At least 4 years version control experience, particularly Git.
• At least 1 year practical AI tools experience for coding, data analysis, automation, or related

🎁 Benefits

• Fully remote position, with flexibility to work from Slovenia.
• Opportunity to contribute to a large-scale digital transformation with data engineering scope.
• Work with a modern Microsoft Azure cloud data ecosystem.
• 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
• Collaborate with multidisciplinary teams and direct business impact.