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 into analytics-ready datasets.
• Use Azure Data Factory, Databricks, Synapse, Data Lake Gen2, Python, SQL, Delta Lake.
• Collaborate with stakeholders to translate requirements into data engineering solutions.
• Apply Git and AI-powered tools to support development and automation.
• Troubleshoot issues and improve pipeline performance and data quality.

🎯 Requirements

• At least 5 years of 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.
• 3+ years designing data solutions and analytics-ready datasets.
• 4+ years of experience with version control (Git).
• 1 year of practical AI tool experience for data tasks.

🎁 Benefits

• Fully remote position, from Slovenia flexibility mentioned in listing.
• Work on large-scale digital transformation with Azure data ecosystem.
• Exposure to Azure Databricks, Delta Lake, Synapse, Data Factory, Python, SQL.
• AI-powered tools to improve development and automation.
• Cross-functional collaboration with business and technical teams.
• Remote work designed for autonomy and flexibility.