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Azure Data Engineer (Microsoft Fabric)
GeekSoft Consulting
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Source date: 11/3/2026
About this role
• 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.