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 to analytics-ready datasets.
• Develop cloud data solutions using Microsoft Azure: Data Factory, Databricks, Synapse, ADLS Gen2
• Use Python and SQL to create data transformations and analytics workflows.
• Design data models and architectures for scalability, reliability, performance, and quality.
• Collaborate with stakeholders 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 with Azure services (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 experience with Git/version control.
• 1 year practical AI tool experience for data tasks.

🎁 Benefits

• Fully remote position, with flexibility to work 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 engineering tools to aid development and optimization.
• Collaboration with multidisciplinary teams and direct business impact.
• Remote working environment designed for autonomy and flexibility.