Data Engineer - Senior

📋 Description

• Design, develop, and maintain scalable data solutions for large-scale digital transformation.
• Build and optimize ETL/ELT pipelines from diverse sources to analytics datasets.
• Develop cloud-based data solutions in Microsoft Azure (ADF, Databricks, Synapse, Data Lake Gen2
• Use Python and SQL for data transformations and workflows.
• Design data models for scalability, reliability, performance, data quality.
• Collaborate with stakeholders and teams to translate requirements into solutions.

🎯 Requirements

• At least 5 years of 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 version control experience, Git preferred.
• At least 1 year practical AI tool experience for data tasks.

🎁 Benefits

• Fully remote position, Slovenia remote option mentioned.
• Work on large-scale digital transformation with Azure ecosystem.
• Exposure to Azure Databricks, Delta Lake, Synapse, Data Factory, Python, SQL.
• Opportunity to apply AI-powered tools to engineering tasks.
• Collaborate with multidisciplinary teams and deliver scalable data solutions.
• Remote setup designed for autonomy and flexibility.