Data Engineer - Senior

📋 Description

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

🎯 Requirements

• At least 5 years of hands-on Python and SQL in a data engineering environment.
• At least 3 years with Azure services (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 of experience with Git or other VCS.
• At least 1 year of practical experience using AI tools for code generation or data tasks.

🎁 Benefits

• Fully remote position, with flexibility to work from Slovenia.
• Opportunity to contribute to a large-scale digital transformation with data engineering focus.
• Work with Microsoft Azure cloud data ecosystem and data engineering technologies.
• Exposure to Azure Databricks, Delta Lake, Synapse, Data Factory, Python, and SQL.
• Opportunity to apply AI-powered engineering tools to improve development and automation.
• Collaborate with multidisciplinary teams and have direct business impact.