Data Engineer - Senior
JobgetherRemotely
pythonsqlazureazure databricksdelta lakeazure data factorydata lakeazure synapse
Job Description
📋 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 data solutions in Microsoft Azure ecosystem (Data Factory, Databricks, Synapse, Data
- Use Python and SQL for data transformations, processing, and analytics.
- Model data architectures for scalability, reliability, and quality.
- Work with Azure Databricks and Delta Lake for modern data processing/storage.
🎯 Requirements
- At least 5 years of hands-on Python and SQL in a data engineering environment.
- At least 3 years of Azure services experience (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 Git experience.
- At least 1 year practical experience using AI tools for data tasks.
🎁 Benefits
- Fully remote position, flexibility to work from Slovenia.
- Opportunity to contribute to a large-scale digital transformation with a data engineering focus.
- Work with a modern Microsoft Azure cloud data ecosystem.
- Exposure to Azure Databricks, Delta Lake, Synapse, Data Factory, Python, and SQL.
- AI-powered tools to improve development, automation, analysis, and optimization.
- Collaboration with multidisciplinary teams across business and tech.
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