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.
• Use Azure cloud stack: Data Factory, Databricks, Synapse, Data Lake Gen2, SQL.
• Develop transformations with Python and SQL.
• Design data models and architectures for scalability and quality.
• Collaborate with stakeholders and teams to translate requirements.

🎯 Requirements

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

🎁 Benefits

• Fully remote position, from Slovenia.
• Work on a large-scale digital transformation with Azure data stack.
• Exposure to Azure Databricks, Delta Lake, Synapse, Data Factory, Python, SQL.
• AI-powered tools to improve development and automation.
• Collaboration with multidisciplinary teams and business impact.
• Remote-friendly environment with autonomy and flexibility.