Inetum is seeking a Senior Data Engineer to support the development and operation of an enterprise data platform. The role focuses on data ingestion, transformation and delivery within a Microsoft Fabric ecosystem, ensuring reliable and governed data assets for analytics, operational reporting and AI initiatives.

Responsibilities

Qualifications: Additional Valued Experience:

Develop and operate data solutions using Microsoft Fabric and Azure.
Build notebooks, pipelines and integration processes using PySpark and SQL.
Support the integration of new systems into the enterprise data platform.
Design and maintain data models and data processing solutions within Bronze, Silver and Gold architectures.
Ensure the delivery of reliable and governed datasets for reporting, analytics and AI use cases.
Implement and maintain CI/CD processes for Microsoft Fabric artifacts.
Contribute to data quality, metadata management and data governance initiatives.
More than 7 years of experience in Data Engineering or similar functions.
Experience with Microsoft Fabric and Azure.
Strong knowledge of PySpark, Spark SQL, Python and T-SQL.
Experience with Data Lakehouse and Medallion Architecture.
Knowledge of ETL/ELT patterns and data modelling.
Experience with Data Quality, Data Lineage, Metadata Management and Master Data Management.
Experience in data validation and acceptance testing.
Microsoft certifications such as DP-203, DP-600, DP-700 or AZ-900.
Experience in data platform modernization projects.
Telecommunications industry knowledge.
Knowledge of Micr

About the role

Inetum is seeking a Senior Data Engineer to support the development and operation of an enterprise data platform. The role focuses on data ingestion, transformation and delivery within a Microsoft Fabric ecosystem, ensuring reliable and governed data assets for analytics, operational reporting and AI initiatives.

Responsibilities

Qualifications: Additional Valued Experience:

Develop and operate data solutions using Microsoft Fabric and Azure.
Build notebooks, pipelines and integration processes using PySpark and SQL.
Support the integration of new systems into the enterprise data platform.
Design and maintain data models and data processing solutions within Bronze, Silver and Gold architectures.
Ensure the delivery of reliable and governed datasets for reporting, analytics and AI use cases.
Implement and maintain CI/CD processes for Microsoft Fabric artifacts.
Contribute to data quality, metadata management and data governance initiatives.
More than 7 years of experience in Data Engineering or similar functions.
Experience with Microsoft Fabric and Azure.
Strong knowledge of PySpark, Spark SQL, Python and T-SQL.
Experience with Data Lakehouse and Medallion Architecture.
Knowledge of ETL/ELT patterns and data modelling.
Experience with Data Quality, Data Lineage, Metadata Management and Master Data Management.
Experience in data validation and acceptance testing.
Microsoft certifications such as DP-203, DP-600, DP-700 or AZ-900.
Experience in data platform modernization projects.
Telecommunications industry knowledge.
Knowledge of Micr