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 from diverse sources into analytics-ready
• Develop cloud-based data solutions using the Microsoft Azure ecosystem (Azure Data Factory, Azure
• Use Python and SQL to develop data transformations, processing workflows, integrations, and
• Design and manage data models and architectures for scalability, reliability, performance, and data
• 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 designing data solutions and analytics-ready datasets.
• At least 4 years experience with version control, particularly Git.
• At least 1 year practical experience using AI tools for code generation, data analysis, automation

🎁 Benefits

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