Data Engineer

• Build and maintain end-to-end data pipelines using Microsoft Fabric (Data Engineering, Data Factory, OneLake, Lakehouse, Warehouses)
• Develop ELT transformations with dbt (models, testing, documentation, lineage)
• Implement medallion architecture (Bronze/Silver/Gold)
• Create robust data models (facts, dimensions, marts) for BI and analytics
• Work with diverse data sources (APIs, databases, SaaS platforms)
• Ensure data governance, security, and CI/CD best practices

• Strong experience with Microsoft Fabric and dbt
• Advanced SQL and solid Spark/PySpark skills
• Experience with ELT, data modeling, and modern data warehousing
• Familiarity with Git and CI/CD workflows
• Ability to own solutions end-to-end in a fast-paced environment

Nice to have

• Experience in telecommunications or large-scale data environments
• Exposure to network performance or shared data ecosystems

If you enjoy building modern data platforms and solving complex data challenges, this could be a strong fit.