Senior Data Engineer
This role requires a Senior Data Engineer to architect and maintain a scalable Microsoft Fabric-based data platform, ensuring seamless data ingestion, transformation, and delivery for analytics, reporting, and AI initiatives. The candidate will lead integration efforts, enforce data governance, and optimize CI/CD pipelines for enterprise-grade reliability.
Skills required
About this role
Inetum is seeking a Senior Data Engineer to support the development and operation of an enterprise data platform. The role will focus on data ingestion, transformation and delivery within a Microsoft Fabric ecosystem, ensuring reliable and governed data assets for analytics, operational reporting and Artificial Intelligence initiatives.
Main Responsibilities
- 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 artefacts.
- Contribute to data quality, metadata management and data governance initiatives.
Qualifications
- 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 artefacts.
- Contribute to data quality, metadata management and data governance initiatives.
What You'll Bring
- 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.
Additional Valued Experience
- Microsoft certifications such as DP-203, DP-600, DP-700 or AZ-900.
- Experience in data platform modernization projects.
- Telecommunications industry knowledge.
- Knowledge of Microsoft Purview.