Data Engineer - Senior

📋 Description

• Design, develop and maintain scalable data solutions for large-scale digital transformation.
• Build and optimize ETL/ELT pipelines to create analytics-ready datasets.
• Develop cloud-based data solutions in Microsoft Azure (Azure Data Factory, Databricks, Synapse
• Use Python and SQL to implement data transformations and workflows.
• Model data architectures for scalability, reliability, performance and data quality.
• Collaborate with stakeholders and teams to translate requirements into data engineering solutions.

🎯 Requirements

• At least 5 years of hands-on Python and SQL in data engineering.
• At least 3 years of Azure services experience (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 with version control (Git).
• 1 year practical experience using AI tools for code/data tasks.

🎁 Benefits

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