Data Engineer - Senior
JobgetherRemotely
pythonsqlazureazure databricksdelta 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 from diverse sources to analytics-ready datasets.
- Develop cloud data solutions using the Microsoft Azure ecosystem (Azure Data Factory, Azure
- Use Python and SQL to create data transformations, workflows, and integrations.
- Design and manage scalable data models and architectures with 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 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 Git experience.
- At least 1 year of 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 common data tech.
- Exposure to Azure Databricks, Delta Lake, Synapse, Data Factory, Python, and SQL.
- AI-powered tooling to improve development, automation, analysis, and optimization.
- Collaborate with multidisciplinary teams and business stakeholders.
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