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.