Azure Data Architect/Azure Data engineer/AI OPS Lead

Requirement 1: AI OPS Lead JD:
-

Experience:
10+ years Job

Location:
Brussels, Belgium Work mode: Hybrid 3 to 4 days per week work from client office
• Strong experience managing Azure-based Data & Analytics applications.
• Hands-on knowledge of Azure Data Factory, Databricks, Synapse, ADLS, and Azure SQL.
• Experience supporting large-scale ETL/ELT and data integration platforms.
• Expertise in Azure Monitoring, Log Analytics, and operational dashboards.
• Experience with Azure DevOps, CI/CD pipelines, and release management.
• Strong understanding of ITIL processes including Incident Management, Problem Management, Change Management, Release Management and Service Level Management
• Proven experience managing multi-disciplinary support teams.
• Strong stakeholder management and communication skills.
• Ability to manage multiple applications and competing priorities.
• Experience working with global teams and business stakeholders. Requirement 2: Azure Data engineer:
-

Experience:
10+ years Job

Location:
Brussels, Belgium Work mode: Hybrid 3 to 4 days per week work from client office Job Summary: We are seeking an experienced Azure Databricks Data Engineer to design, develop, and maintain scalable data pipelines and analytics solutions on the Azure cloud platform. The ideal candidate should have expertise in Databricks, Spark, Azure Data Services, ETL/ELT development, and data warehousing concepts.

Key Responsibilities
• Design, develop, and optimize data pipelines using Azure Databricks and Apache Spark.
• Build and maintain ETL/ELT processes for ingesting data from multiple sources.
• Develop scalable batch and real-time data processing solutions.
• Work with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Azure Synapse Analytics.
• Implement Delta Lake architecture for reliable and high-performance data processing.
• Create and optimize Spark jobs using PySpark, Scala, or SQL.
• Monitor, troubleshoot, and improve data pipeline performance.
• Implement data quality checks, governance, and security best practices.
• Collaborate with business stakeholders, data analysts, and architects to understand requirements.
• Support CI/CD implementation and deployment automation. Required Skills Azure Services
• Azure Databricks
• Azure Data Factory (ADF)
• Azure Data Lake Storage Gen2 (ADLS)
• Azure Synapse Analytics
• Azure Key Vault
• Azure Monitor Technical Skills
• PySpark (Mandatory)
• Apache Spark
• Python
• SQL
• Delta Lake
• Data Modeling
• ETL/ELT Development
• REST APIs
• Git/Azure DevOps Requirement 3: Azure Data Architect JD:
-

Experience:
10 to 15 years Job

Location:
Brussels, Belgium Work mode: Hybrid 3 to 4 days per week work from client office Job Summary: We are seeking an experienced Azure Data Architect to design, build, and govern scalable cloud-based data platforms on Microsoft Azure. The ideal candidate will have expertise in data architecture, data engineering, analytics, data governance, and cloud migration strategies. The role involves collaborating with business stakeholders, data engineers, analysts, and solution architects to deliver enterprise-grade data solutions.

Key Responsibilities
• Design and implement modern data architectures using Microsoft Azure services.
• Define enterprise data models, data integration patterns, and data governance frameworks.
• Architect scalable data lakes, data warehouses, and lakehouse solutions.
• Lead data platform modernization and migration from on-premises to Azure.
• Design ETL/ELT pipelines using Azure-native services.
• Establish data quality, security, compliance, and monitoring standards.
• Collaborate with business and technical teams to translate requirements into architecture solutions.
• Optimize data platforms for performance, scalability, reliability, and cost efficiency.
• Provide technical leadership and mentorship to data engineering teams.
• Create architecture documentation, standards, and best practices. Required Technical

Skills:
Azure Data Platform
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Azure Databricks
• Azure Data Lake Storage Gen2 (ADLS Gen2)
• Azure SQL Database
• Azure Managed Instance
• Azure Fabric (preferred)
• Azure Event Hub
• Azure Stream Analytics
• Azure Functions Data Engineering & Architecture
• Data Warehouse Design
• Data Lake & Lakehouse Architecture
• Dimensional Modeling (Star/Snowflake Schema)
• Data Modeling (Conceptual, Logical, Physical)
• ETL/ELT Design
• Batch & Real-Time Processing
• Metadata Management
• Master
• FilesFiles