Data Engineer - Senior

📋 Description

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

🎯 Requirements

• At least 5 years of hands-on Python and SQL experience in data engineering.
• At least 3 years of experience with Azure services (Azure 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 with version control (Git).
• At least 1 year practical experience using AI tools for data tasks.

🎁 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 modern Microsoft Azure cloud data ecosystem and related technologies.
• Exposure to Azure Databricks, Delta Lake, Synapse, Data Factory, Python, and SQL.
• Opportunity to apply AI-powered engineering tools to improve development, automation, and analysis.
• Collaboration with multidisciplinary teams and direct business impact.