Data Engineer - Senior

📋 Description

• Design, develop, and maintain scalable data solutions for a large-scale digital transformation.
• Build and optimize ETL/ELT pipelines from diverse sources to analytics-ready datasets.
• Develop cloud data solutions in Microsoft Azure (ADF, Databricks, Synapse, Data Lake Gen2, SQL).
• Use Python and SQL to create data transformations and processing workflows.
• Design data models and architectures for scalability, reliability, and quality.
• Work with Azure Databricks and Delta Lake for modern data processing/storage.

🎯 Requirements

• At least 5 years of hands-on Python and SQL in a data engineering environment.
• At least 3 years of experience 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 practical experience using AI tools for data tasks.

🎁 Benefits

• Fully remote position, with flexibility to work from Slovenia.
• Contribution to a large-scale digital transformation with data engineering scope.
• Experience with Microsoft Azure data ecosystem and common data tech.
• Exposure to Azure Databricks, Delta Lake, Synapse, Data Factory, Python, and SQL.
• Opportunity to apply AI-powered tools to improve development and automation.
• Collaboration with multidisciplinary teams and direct business impact.