Data Engineer - Senior
JobgetherRemotely
pythonazureazure databricksazure sqldelta lakeazure data factoryazure synapsedata lake storage gen2
Job Description
📋 Description
- Design, develop, and maintain scalable data solutions for a large-scale digital transformation.
- Build and optimize ETL/ELT pipelines to create analytics-ready datasets.
- Develop cloud data solutions using Microsoft Azure ecosystem (Azure Data Factory, Databricks
- Use Python and SQL to develop data transformations and analytics.
- Design data models and architectures for scalability and data 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 data engineering.
- 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 experience with version control (Git).
- At least 1 year practical AI tool experience for code/data tasks.
🎁 Benefits
- Fully remote, with flexibility to work from Slovenia.
- Chance to contribute to large-scale digital transformation with data engineering scope.
- Work with Microsoft Azure cloud data ecosystem and data engineering tech.
- Exposure to Azure Databricks, Delta Lake, Synapse, Data Factory, Python, SQL.
- Opportunity to apply AI-powered tools to improve development/automation/analysis.
- Collaborate with multidisciplinary teams across business and tech.
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