Azure Data Engineer & Scientist: Databricks Production Lead

keystone-solutions; Brussel; Sur place; EUR 65 000 - 95 000; Plein temps

Résumé du poste

Keystone Solutions is seeking an experienced Azure Data Engineer / Data Scientist for a consultancy mission at a client site in Brussels. The role focuses on delivering strategic data use cases on the Azure Databricks platform as part of the client’s 2026 roadmap.

You will bridge data engineering and data science to productionize use cases, build and optimize data pipelines, and support Power BI reporting. Collaboration with stakeholders and knowledge transfer are key responsibilities.

Qualifications

• Minimum 5 years of experience in data science and/or data engineering.
• Degree in Computer Science, Data Science, Statistics, Engineering, or related field.
• Strong communication skills and ability to deliver under deadlines.

Responsabilités

• Design, develop, and optimize data pipelines in Azure Databricks and Azure Data Factory.
• Industrialize models and calculations for reliable production operation.
• Build and support Power BI reports, including data modeling and performance optimization.
• Understand existing models and calculation logic, including anomaly detection models.
• Modify, retrain, validate, and improve models and indicators as business needs evolve.
• Collaborate with Data Engineers, Data Scientists, and business stakeholders to translate needs into deliverables.
• Document data flows, models, and best practices for smooth handover.

Connaissances

Azure Databricks

Spark/PySpark

Delta Lake

SQL

Python

Power BI (DAX)

Statistics & ML (anomaly detection)

Model lifecycle / production

Formation

Degree in Computer Science / Data Science / Statistics / Engineering

Outils

Azure Data Factory

Azure Storage

Key Vault

Azure DevOps

Description du poste

Keystone Solutions is seeking an experienced Azure Data Engineer / Data Scientist for a consultancy mission at a client site in Brussels. The role focuses on delivering strategic data use cases on the Azure Databricks platform as part of the client’s 2026 roadmap.

You will bridge data engineering and data science to productionize use cases, build and optimize data pipelines, and support Power BI reporting. Collaboration with stakeholders and knowledge transfer are key responsibilities.