Data Engineer for AI-Ready Data Platform & BI

Neurho Solutions; Anderlecht; Sur place; EUR 70 000 - 90 000; Plein temps

Avantages offerts par ce poste

Extra-legal benefits

Résumé du poste

Neurho Solutions, a Belgian IT and business consultancy, seeks a Data Engineer to strengthen a development team handling high-volume, auditable traffic-fines processing. You will connect business needs to reliable data, apply DevOps practices to BI and prepare data for future AI applications.

You will translate information needs into data requirements, define data models and KPIs, and collaborate with stakeholders to build robust data pipelines and BI publishing layers.

Qualifications

• Minimum 1 year of experience with Apache Superset.
• Minimum 5 years of experience with Azure Data Factory.
• Minimum 5 years of experience with PostgreSQL, Python and SAS.
• Strong experience in ETL/ELT, CI/CD and data quality controls.

Responsabilités

• Translate information needs into data requirements and user stories with the Product Owner and analysts.
• Define data models, lineage and coordinate BI questions with the team and stakeholders.
• Build and monitor data quality controls, investigate anomalies and report on quality.
• Develop ETL/ELT processes and a reliable publishing layer for BI tools (Power BI, Superset, SAS Visual Analytics).
• Set up CI/CD, automated tests, monitoring and controlled releases for data pipelines, models and reports.
• Contribute to the data platform evolution and ensure GDPR compliance and auditability.

Connaissances

Python

SQL

SAS

ETL/ELT

Data modelling

Analytical ability

Communication

Autonomy

GitHub

PostgreSQL

Formation

ICT-related degree

Outils

Azure Data Factory

Azure Synapse Analytics

SAS Visual Analytics

Power BI

Apache Superset

CI/CD

dbt

Docker

SAS Enterprise Guide

Description du poste

Neurho Solutions, a Belgian IT and business consultancy, seeks a Data Engineer to strengthen a development team handling high-volume, auditable traffic-fines processing. You will connect business needs to reliable data, apply DevOps practices to BI and prepare data for future AI applications.

You will translate information needs into data requirements, define data models and KPIs, and collaborate with stakeholders to build robust data pipelines and BI publishing layers.