Data Engineer - Senior

📋 Description

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

🎯 Requirements

• At least 5 years of hands-on Python and SQL experience in data engineering.
• At least 3 years with Azure services (Azure Storage, Azure 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 engineering 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 a modern Microsoft Azure cloud data ecosystem and widely used data engineering tech.
• Exposure to Azure Databricks, Delta Lake, Azure Synapse, Azure Data Factory, Python, and SQL.
• Opportunity to apply AI-powered tools to improve development, automation, analysis, and
• Collaboration with multidisciplinary teams and direct business impact.