Data Engineer - Senior

📋 Description

• Design, develop, and maintain scalable data solutions for a large-scale digital transformation.
• Build and optimize ETL/ELT pipelines that integrate data into analytics-ready datasets.
• Develop cloud-based data solutions using Microsoft Azure ecosystem (Azure Data Factory, Azure
• Use Python and SQL to develop data transformations and analytical data solutions.
• Design and manage data models and architectures for scalability, reliability, and data quality.
• Collaborate with stakeholders and teams to translate requirements into data engineering solutions.

🎯 Requirements

• At least 5 years of hands-on experience with Python and SQL in a data engineering environment.
• At least 3 years of experience with Azure services (Azure Storage, Azure SQL, Azure Synapse
• At least 3 years of hands-on experience with Azure Databricks and Delta Lake.
• At least 3 years of experience designing data solutions and analytics-ready datasets.
• At least 4 years of experience with version control systems, particularly Git.
• At least 1 year of 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
• Exposure to Azure Databricks, Delta Lake, Azure Synapse, Azure Data Factory, Python, and SQL.
• Opportunity to apply AI-powered engineering tools to improve development and automation.
• Collaboration with multidisciplinary teams and direct business impact.