About this role
Design and implement scalable data pipelines and data processing solutions using Azure and Microsoft FabricDevelop and optimize ETL/ELT processes for large-scale datasetsWork with Lakehouse architectures (Medallion – Bronze, Silver, Gold) using Fabric or Azure DatabricksIntegrate data from multiple sources using Azure Data Factory / Fabric Data PipelinesBuild and maintain data models and Lakehouse structures in OneLakeEnsure data quality, reliability, and performance across the platformOptimize Spark workloads and data transformations using PySpark and SQLCollaborate with Data Architects, BI teams and Data Scientists to enable analytics and reportingContribute to DataOps practices, CI/CD pipelines and automationSupport data governance and security best practices across the platform Experience as a Data Engineer (3+ years)Hands-on experience with Microsoft Azure data servicesExperience with Microsoft Fabric (Lakehouse, pipelines, notebooks)Strong knowledge of PySpark / Spark SQLExperience with Azure Data Factory or Fabric Data Pipelines, Azure Data Lake Storage / OneLakeSQL skills and experience working with large datasetsFamiliarity with Delta Lake / Lakehouse architecturesExperience with CI/CD and DataOps practices (Azure DevOps or GitHub)Nice to have
Experience with Azure DatabricksKnowledge of Terraform or BicepExperience with Microsoft Purview or data governance toolsAzure Data certifications (DP-203, DP-600, DP-700) The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.