Azure Data Engineer (Microsoft Fabric)

Help design, build and continuously improve the clients online platform. Research, suggest and implement new technology solutions following best practices/standards. Take responsibility for the resiliency and availability of different products. Be a productive member of the team. Requirements 8+ years of experience in data engineering and enterprise data solutions development. Design, develop, and implement enterprise data solutions using Microsoft Fabric. Build, maintain, and optimize data ingestion, transformation, and processing pipelines. Develop solutions using OneLake, Fabric Lakehouse, Data Warehouse, and Data Factory capabilities. Implement scalable ETL and ELT pipelines to support enterprise data engineering and analytics requirements. Develop data transformations and business logic using Microsoft Fabric engineering capabilities. Design and implement data models and datasets for analytics and reporting requirements. Integrate data from cloud platforms, on-premises systems, APIs, databases, and other enterprise sources. Implement data quality checks, monitoring, security controls, and error-handling mechanisms. Support development, testing, deployment, troubleshooting, and production stabilization activities. Collaborate with Data Architects, business stakeholders, analytics teams, and other technical teams. Adhere to established data architecture, security, governance, and engineering standards. Strong hands-on experience with Microsoft Fabric development. Expertise in OneLake, Fabric Lakehouse, Data Warehouse, and Data Factory. Strong experience developing ETL/ELT pipelines and data integration solutions. Proficiency in SQL and database development. Hands-on experience with Python or PySpark for data transformation and engineering. Experience with Delta Lake and Medallion Architecture (Bronze, Silver, and Gold layers). Strong understanding of data ingestion, transformation, modelling, and orchestration. Knowledge of Azure Cloud and Azure data services. Experience implementing data security, governance, and data quality requirements. Strong debugging, troubleshooting, and performance optimization skills. Experience with Power BI and Semantic Models. Knowledge of Azure Data Factory and Azure Synapse Analytics. Exposure to Databricks. Knowledge of Microsoft Purview. Experience with CI/CD pipelines and Azure DevOps. Experience working on enterprise data modernization and migration projects. Benefits Fixed Term Employment Contract Work-Life Balance Flexible Work Mode What GeekSoft Consulting Offers International, collaborative consulting culture with clear career development paths. Comprehensive Dutch benefits package emphasizing well-being, mobility, and career growth.