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.
• Develop cloud-based data solutions using Microsoft Azure ecosystem (ADF, Databricks, Synapse, Data
• Use Python and SQL to create data transformations and analytics workflows.
• Design data models and architectures for scalability, reliability, 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 a data engineering environment.
• At least 3 years of experience with Azure services (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 of experience with version control (Git).
• At least 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 data engineering scope.
• Work with Microsoft Azure cloud data ecosystem and modern data engineering tools.
• Exposure to Azure Databricks, Delta Lake, Synapse, Data Factory, Python, and SQL.
• Apply AI-powered engineering tools to improve development, automation, analysis, and optimization.
• Collaborate with multidisciplinary teams and deliver scalable, production-focused data solutions.