Data Engineer - Senior

📋 Description

• Design, develop, and maintain scalable data solutions for large-scale digital transformation.
• Build and optimize ETL/ELT pipelines across diverse data sources.
• Use Microsoft Azure: Azure Data Factory, Databricks, Synapse, Data Lake Gen2, SQL.
• Develop data transformations with Python and SQL.
• Model and architect data for scalability, reliability, quality.
• Leverage Azure Databricks and Delta Lake for processing/storage.

🎯 Requirements

• At least 5 years of 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.
• At least 1 year using AI tools for code/data tasks.

🎁 Benefits

• Fully remote position, flexibility to work from Slovenia.
• Contribute to a large-scale digital transformation with data engineering scope.
• Work with Microsoft Azure cloud data ecosystem and data tech.
• Exposure to Azure Databricks, Delta Lake, Synapse, Data Factory, Python, SQL.
• Opportunity to apply AI-powered tools to improve dev, automation, analysis.
• Collaborate with multidisciplinary teams.