Microsoft Fabric & Azure Data Platform Developer
Job Location:
Amsterdam - Netherlands
Monthly Salary:
Experience Required:
Posted:
Application Deadline:
Vacancies:
Job Summary
- Design and develop enterprise data platforms using Microsoft Fabric and Azure data services.
- Define architecture across OneLake Lakehouse Data Warehouse Data Pipelines Dataflows Gen2 Notebooks and Semantic Models.
- Design and implement Medallion Architecture for enterprise data ingestion transformation modelling and consumption.
- Develop and optimize data solutions using PySpark Python SQL Spark SQL and Azure Data Factory.
- Design Power BI architecture and semantic models including standardized KPI definitions and reporting governance.
- Define enterprise data modelling integration patterns APIs and data platform modernization strategies.
- Establish and support data governance ownership stewardship security privacy GDPR and compliance controls.
- Implement practices for data quality data lineage metadata management and master/reference data management.
- Support Azure DevOps Git CI/CD release management and deployment automation.
- Optimize data-platform performance through workload management scalability performance tuning and capacity planning.
- Work closely with stakeholders to understand business and technical requirements and translate them into scalable data-platform solutions.
- Produce clear architecture documentation and contribute to technical decision-making.
- 46 years of overall professional experience in data engineering data platform development data architecture or a closely related field.
- Strong architecture experience with Microsoft Fabric and enterprise Azure data platforms.
- Hands-on expertise with Microsoft Fabric OneLake Lakehouse Data Warehouse Data Pipelines Dataflows Gen2 Notebooks and Semantic Models.
- Strong understanding of Medallion Architecture and enterprise data ingestion transformation modelling and consumption patterns.
- Hands-on experience with PySpark Python SQL Spark SQL and Azure Data Factory.
- Experience with Power BI architecture semantic modelling KPI standardization and reporting governance.
- Strong knowledge of enterprise data modelling integration patterns APIs and data-platform modernization.
- Experience with data governance data ownership stewardship security privacy GDPR and compliance.
- Understanding of data quality lineage metadata management and master/reference data concepts.
- Experience with Azure DevOps Git CI/CD release management and deployment automation.
- Design scalable and maintainable Microsoft Fabric and Azure data architectures.
- Translate business and technical requirements into effective data-platform architecture and implementation approaches.
- Design robust data ingestion transformation modelling and consumption pipelines.
- Apply Medallion Architecture effectively across enterprise data solutions.
- Develop and optimize data processing solutions using PySpark Python SQL and Spark SQL.
- Design effective Power BI semantic models and establish consistent KPI definitions.
- Implement appropriate data governance security privacy GDPR and compliance controls.
- Identify and resolve data quality performance scalability and workload-management issues.
- Implement automated CI/CD and deployment processes using Azure DevOps and Git.
- Document architecture technical decisions integration patterns and platform standards clearly.
- Communicate effectively with technical and business stakeholders and make sound architectural decisions.
- An opportunity to work on modern enterprise data platforms using Microsoft Fabric and Azure.
- Exposure to advanced data architecture analytics data governance and platform modernization initiatives.
- The opportunity to work with OneLake Lakehouse Data Warehouse Power BI Azure Data Factory and modern data engineering technologies.
- A role involving architecture hands-on data engineering governance performance optimization and stakeholder collaboration.
As a Microsoft Fabric & Azure Data Platform Developer you will: Design and develop enterprise data platforms using Microsoft Fabric and Azure data services. Define architecture across OneLake Lakehouse Data Warehouse Data Pipelines Dataflows Gen2 Notebooks and Semantic Models. Design and implement Medallion Architecture for enterprise data ingestion transformation modelling and consumption. Develop and optimize data solutions using PySpark Python SQL Spark SQL and Azure Data Factory. Design Power BI architecture and semantic models including standardized KPI definitions and reporting governance. Define enterprise data modelling integration patterns APIs and data platform modernization strategies. Establish and support data governance ownership stewardship security privacy GDPR and compliance controls. Implement practices for data quality data lineage metadata management and master/reference data management. Support Azure DevOps Git CI/CD release management and deployment automation. Optimize data-platform performance through workload management scalability performance tuning and capacity planning. Work closely with stakeholders to understand business and technical requirements and translate them into scalable data-platform solutions. Produce clear architecture documentation and contribute to technical decision-making. What You Bring to the Table: 46 years of overall professional experience in data engineering data platform development data architecture or a closely related field. Strong architecture experience with Microsoft Fabric and enterprise Azure data platforms. Hands-on expertise with Microsoft Fabric OneLake Lakehouse Data Warehouse Data Pipelines Dataflows Gen2 Notebooks and Semantic Models. Strong understanding of Medallion Architecture and enterprise data ingestion transformation modelling and consumption patterns. Hands-on experience with PySpark Python SQL Spark SQL and Azure Data Factory. Experience with Power BI architecture semantic modelling KPI standardization and reporting governance. Strong knowledge of enterprise data modelling integration patterns APIs and data-platform modernization. Experience with data governance data ownership stewardship security privacy GDPR and compliance. Understanding of data quality lineage metadata management and master/reference data concepts. Experience with Azure DevOps Git CI/CD release management and deployment automation. You should possess the ability to: Design scalable and maintainable Microsoft Fabric and Azure data architectures. Translate business and technical requirements into effective data-platform architecture and implementation approaches. Design robust data ingestion transformation modelling and consumption pipelines. Apply Medallion Architecture effectively across enterprise data solutions. Develop and optimize data processing solutions using PySpark Python SQL and Spark SQL. Design effective Power BI semantic models and establish consistent KPI definitions. Implement appropriate data governance security privacy GDPR and compliance controls. Identify and resolve data quality performance scalability and workload-management issues. Implement automated CI/CD and deployment processes using Azure DevOps and Git. Document architecture technical decisions integration patterns and platform standards clearly. Communicate effectively with technical and business stakeholders and make sound architectural decisions. What we bring to the table: An opportunity to work on modern enterprise data platforms using Microsoft Fabric and Azure. Exposure to advanced data architecture analytics data governance and platform modernization initiatives. The opportunity to work with OneLake Lakehouse Data Warehouse Power BI Azure Data Factory and modern data engineering technologies. A role involving architecture hands-on data engineering governance performance optimization and stakeholder collaboration. Lets Connect: Want to discuss this opportunity in more detail Feel free to reach out. Recruiter: Giftson Paul Davidson Phone:; Extn : 151 Email: LinkedIn:
