Microsoft Fabric & Azure Data Platform Developer(ID: 4078)
Key Skills
Job Description
- 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.
- 4–6 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.
Core Responsibilities
Design and develop enterprise data platforms using Microsoft Fabric and Azure data services while implementing Medallion Architecture. Establish data governance, security, and quality controls while optimizing data platform performance and scalability.
Requirements
Requires 4-6 years of professional experience in data engineering or data architecture with hands-on expertise in Microsoft Fabric and Azure. Candidates must possess strong skills in PySpark, SQL, Power BI, and CI/CD practices.
About STAFIDE
Industry: Staffing and Recruiting
Company size: 11-50 employees
Headquartered in the Netherlands, STAFIDE specializes in Niche Tech Recruitment across Europe, connecting top talent with outstanding opportunities in the IT sector. Our data-driven recruitment model ensures the ideal match between candidates and employers, enhancing both skill alignment and cultural fit. With a strong focus on Skill-Based Hiring, we provide candidates with an in-depth understanding of the organization—whether for permanent positions or temporary assignments (interim opdrachten) like secondment (detachering)—strengthening employer branding for our clients as a recruitment company (uitzendbureau). In today’s fast-evolving tech landscape, we recognize the unique challenges companies face in sourcing highly skilled talent. Our advanced, AI-driven talent intelligence system (ATS) is specifically designed to prioritize Skill-Based Hiring for niche IT roles, empowering organizations to address talent shortages by identifying professionals with the expertise to drive innovation and growth. Whether you’re a company in search of exceptional talent or a professional seeking your next ICT role, STAFIDE is your strategic recruitment (werving en selectie) partner. Our deep expertise in the Dutch market, combined with a steadfast commitment to excellence, makes us the preferred choice for all your recruitment needs.