Data engineer in telecom

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people.

• Design and implement scalable data pipelines and data processing solutions using Azure and Microsoft Fabric
• Develop and optimize ETL/ELT processes for large-scale datasets
• Work with Lakehouse architectures (Medallion – Bronze, Silver, Gold) using Fabric or Azure Databricks
• Integrate data from multiple sources using Azure Data Factory / Fabric Data Pipelines
• Build and maintain data models and Lakehouse structures in OneLake
• Ensure data quality, reliability, and performance across the platform
• Optimize Spark workloads and data transformations using PySpark and SQL
• Collaborate with Data Architects, BI teams and Data Scientists to enable analytics and reporting
• Contribute to DataOps practices, CI/CD pipelines and automation
• Support data governance and security best practices across the platform

• Experience as a Data Engineer (3+ years)
• Hands-on experience with Microsoft Azure data services
• Experience with Microsoft Fabric (Lakehouse, pipelines, notebooks)
• Strong knowledge of PySpark / Spark SQL
• Experience with Azure Data Factory or Fabric Data Pipelines, Azure Data Lake Storage / OneLake
• SQL skills and experience working with large datasets
• Familiarity with Delta Lake / Lakehouse architectures
• Experience with CI/CD and DataOps practices (Azure DevOps or GitHub)
• Будет плюсом: Experience with Azure Databricks; Knowledge of Terraform or Bicep; Experience with Microsoft Purview or data governance tools; Azure Data certifications (DP-203, DP-600, DP-700)

• Условий в вакансии нет