Data Engineer

• Develop and execute the organization’s data strategy and architecture aligned with business objectives
• Translate business requirements into scalable data architecture, models and technical specifications
• Design and manage data models, metadata, lineage and data catalogs
• Architect and integrate batch and real-time data pipelines across diverse sources and platforms
• Establish and enforce data governance, quality, security, privacy and regulatory standards
• Design and deploy scalable cloud and hybrid data platforms, optimizing performance and cost
• Implement data profiling, validation, cleansing and lifecycle management processes
• Monitor, troubleshoot and optimize data platforms, pipelines and infrastructure
• Collaborate with business leaders, engineers and data scientists to deliver data solutions
• Lead data architecture initiatives and mentor teams on standards, tools and best practices
• Evaluate emerging data, cloud, big data and AI technologies and recommend relevant solutions
• Provide expert services remotely while integrated into the company team collaborating closely with a major client’s on-site IT team

Data Architect

• Create and maintain Enterprise Data Warehouses and complex Business Intelligence Solutions, including Data Lakes and Data Lakehouses
• Design modern BI architectures for cloud, on-premises, and hybrid environments while ensuring security and data residency compliance
• Gather and analyse business requirements for data pipelines, storage, and reporting solutions
• Design and implement ETL/ELT processes and orchestration workflows with data contracts and schema evolution management
• Implement and manage data virtualization layers for unified access to heterogeneous data sources
• Design and implement dimensional and other data models supporting reporting and analytics
• Design and build dashboards, KPIs, reporting, analytics applications, and self-service BI tools
• Optimize physical database schemas through indexing, partitioning, and storage strategies
• Analyse database performance, tune queries, optimize resource utilization, and meet latency and throughput SLAs
• Implement data quality frameworks, health monitoring, data observability, and SLAs/SLOs
• Define and execute BI solution testing, including data validation, regression tests, contract tests, and CI/CD automation
• Maintain technical documentation such as data dictionaries, lineage, design specifications, and runbooks
• Deploy and configure BI systems using infrastructure-as-code, version control, and environment management
• Govern BI semantic layers, including KPIs, metrics catalogs, naming conventions, and row-level security
• Manage BI access controls and data security in alignment with GDPR and internal data protection policies
• Optimize BI platform and warehouse cost and performance through partitioning, caching, clustering, query optimization, and resource scaling
• Define and enforce data lineage and stewardship practices
• Enable self-service BI through curated datasets, certified reports, and user training/support

Data Engineer jobs in Belgium

Data Architect

BI Data Engineer