Hybrid Data & AI Engineer: AI-Powered Data Pipelines

Appsierra Group; Brussel; Hybride; EUR 65 000 - 90 000; Plein temps

Résumé du poste

Appsierra Group is seeking a Data Engineer to design and implement scalable data pipelines, integrating structured and unstructured sources. The role involves ETL/ELT processes, data cleansing, and metadata tagging to support governance and AI-enabled workflows.

You will work on data lake/warehouse architectures using Microsoft Fabric and Azure, with emphasis on end-to-end data exploitation and secure, auditable pipelines.

Qualifications

• Proven experience designing and implementing data pipelines (ETL/ELT).
• Strong knowledge of data lake and data warehouse architectures.
• Experience with Microsoft Fabric, Copilot, Azure ecosystem, and open-source data platforms.

Responsabilités

• Develop and maintain data pipelines that integrate multiple heterogeneous data sources.
• Implement data ingestion processes, including batch and near-real-time processing.
• Perform data cleansing, validation and standardization for reliable datasets.
• Apply metadata tagging and support data lineage across data flows.
• Contribute to the development and maintenance of the Data Catalogue.

Connaissances

Data pipeline design

ETL/ELT

Data modelling

Data quality & governance

DevOps & CI/CD

Outils

Microsoft Fabric

Copilot

Azure ecosystem

Open-source data platforms

Description du poste

Appsierra Group is seeking a Data Engineer to design and implement scalable data pipelines, integrating structured and unstructured sources. The role involves ETL/ELT processes, data cleansing, and metadata tagging to support governance and AI-enabled workflows.

You will work on data lake/warehouse architectures using Microsoft Fabric and Azure, with emphasis on end-to-end data exploitation and secure, auditable pipelines.