Data Engineer - Senior

📋 Description

• Design, develop, and maintain scalable data solutions.
• Build and optimize ETL/ELT pipelines from diverse sources.
• Develop cloud data solutions in Microsoft Azure ecosystem.
• Use Python and SQL for transformations and workflows.
• Design data models for scalability, reliability, performance.
• Collaborate with stakeholders to translate requirements.

🎯 Requirements

• At least 5 years of Python and SQL in data eng.
• At least 3 years with Azure services (Storage, SQL, Synapse).
• 3 years with Azure Databricks and Delta Lake.
• 3 years designing data solutions for analytics-ready datasets.
• 4+ years with version control (Git).
• 1 year practical AI tool experience for data tasks.

🎁 Benefits

• Fully remote position, with Slovenia as a reference point.
• Work on a large-scale digital transformation with data scope.
• Modern Azure cloud data ecosystem exposure.
• Access to Delta Lake, Azure Databricks, Synapse, Data Factory, Python, SQL.
• Opportunity to use AI-powered tools for development and automation.
• Collaborative, multidisciplinary team environment.