Data Platform & AI Analytics Engineer

SquareDev; Brussel; Sur place; EUR 70 000 - 95 000; Plein temps

Résumé du poste

SquareDev in Brussels seeks an experienced Data Engineer to design, implement, and operate data pipelines across structured and unstructured sources, enabling reporting and AI-driven use cases. You will work on core platform components with a focus on data engineering, analytics, and cloud-based technologies.

The role involves building scalable data products, ensuring data quality, and collaborating with cross-functional teams to enable explainability and governance in AI workflows.

Qualifications

• Experience designing ETL/ELT pipelines for data lake/warehouse architectures.
• End-to-end integration of structured and unstructured data (documents, PDFs, text).
• Analytics development, data modelling, and exposure to AI/ML on text data.
• Knowledge of DevOps practices, Git, CI/CD, and pipeline automation in multi-stakeholder environments.
• Strong English communication skills.

Responsabilités

• Build and maintain data pipelines ingesting heterogeneous sources, batch and near-real-time.
• Perform data cleansing, validation, standardization, and metadata tagging.
• Contribute to Data/Product Catalogue and implement data quality checks.
• Design solutions combining structured and unstructured data into reusable data products.
• Support AI-enabled processing of document data with explainability and traceability.
• Automate pipelines and reporting workflows, implement event-driven processing and monitoring.
• Implement security controls and support secure environments using open standards.

Connaissances

ETL/ELT pipelines

Data lake/warehouse

Azure/Microsoft Fabric

Unstructured data handling

AI/ML on text

DevOps/CI-CD

English communication

Outils

Microsoft Fabric

Azure

CI/CD tooling

Description du poste

SquareDev in Brussels seeks an experienced Data Engineer to design, implement, and operate data pipelines across structured and unstructured sources, enabling reporting and AI-driven use cases. You will work on core platform components with a focus on data engineering, analytics, and cloud-based technologies.

The role involves building scalable data products, ensuring data quality, and collaborating with cross-functional teams to enable explainability and governance in AI workflows.