Microsoft Fabric开发工程师（仅限南非人）
Microsoft Fabric Developer (South Africans only)
Microsoft Fabric 开发人员（仅限南非人）
地点：100% 远程
合同类型：全职合同
经验水平：中级（4–8 年）
申请方式：通过
职位介绍
我们正在寻找一位经验丰富的 Microsoft Fabric 开发人员加入一个快速发展的数据和分析项目。该职位位于数据工程、商业智能和 AI 驱动的数据平台的交汇点。
成功候选人将负责构建和维护 Microsoft Fabric 数据产品、Power BI 报告解决方案以及支持业务利益相关者和 AI 驱动解决方案的数据管道。
这是一个注重实际交付的职位，适合喜欢构建、维护和改进数据解决方案，而非纯粹从事架构工作的人员。
该职位为完全远程工作，有机会使用现代的 Microsoft 技术，包括 Microsoft Fabric、Power BI、Azure 数据服务和与 AI 相关的数据平台。
主要职责
Microsoft Fabric 开发
- 在 Microsoft Fabric 工作区中构建和维护解决方案。
- 开发和支持 Fabric Lakehouses。
- 设计和维护 Dataflows Gen2。
- 理解并管理 Fabric 生态系统中的数据流动。
- 维护 Fabric 语义模型和报告数据集。
Power BI 开发
- 设计、开发和维护 Power BI 报告和仪表板。
- 构建可扩展且结构良好的语义模型。
- 开发高级 DAX 度量值和计算列。
- 为业务利益相关者创建有意义的可视化和报告解决方案。
- 优化报告性能和可用性。
数据工程与管道开发
- 在 Microsoft Fabric 和 Azure Data Factory 中构建和维护数据管道。
- 从多个来源获取数据，包括：
- SQL 数据库
- APIs
- SharePoint 列表
- CSV 和平面文件
- 外部数据源
- 实现数据转换和清理流程。
- 监控和排查管道故障。
SQL 开发
- 编写用于报告和转换的复杂 SQL 查询。
- 开发视图和转换逻辑。
- 创建支持分析和 AI 工作负载的数据结构。
- 确保报告层中的数据质量和一致性。
Python / PySpark 开发
- 开发和维护 Fabric 笔记本。
- 使用 Python 和 PySpark 执行数据转换。
- 支持自动化和数据工程活动。
- 与 GitHub Copilot 合作
查看英文原文
Microsoft Fabric Developer (South Africans only)
Location: 100% Remote
Contract Type: Full-Time Contract
Experience Level: Mid-Level (4–8 Years)
Application Method: Apply via
About the Opportunity
We are seeking an experienced Microsoft Fabric Developer to join a fast-growing data and analytics programme. This role sits at the intersection of Data Engineering, Business Intelligence, and AI-enabled data platforms.
The successful candidate will be responsible for building and maintaining Microsoft Fabric data products, Power BI reporting solutions, and data pipelines that support both business stakeholders and AI-driven solutions.
This is a hands-on delivery role suited to someone who enjoys building, maintaining, and improving data solutions rather than operating purely at an architectural level.
The role is fully remote and offers the opportunity to work with modern Microsoft technologies including Microsoft Fabric, Power BI, Azure Data Services, and AI-related data platforms.
Key Responsibilities
Microsoft Fabric Development
- Build and maintain solutions within Microsoft Fabric Workspaces.
- Develop and support Fabric Lakehouses.
- Design and maintain Dataflows Gen2.
- Understand and manage data movement throughout the Fabric ecosystem.
- Maintain Fabric semantic models and reporting datasets.
Power BI Development
- Design, develop, and maintain Power BI reports and dashboards.
- Build scalable and well-structured semantic models.
- Develop advanced DAX measures and calculated columns.
- Create meaningful visualisations and reporting solutions for business stakeholders.
- Optimise report performance and usability.
Data Engineering & Pipeline Development
- Build and maintain data pipelines within Microsoft Fabric and Azure Data Factory.
- Ingest data from multiple sources including:
- SQL Databases
- APIs
- SharePoint Lists
- CSV and Flat Files
- External Data Sources
- Implement data transformation and cleansing processes.
- Monitor and troubleshoot pipeline failures.
SQL Development
- Write complex SQL queries for reporting and transformation purposes.
- Develop views and transformation logic.
- Create data structures that support analytics and AI workloads.
- Ensure data quality and consistency across reporting layers.
Python / PySpark Development
- Develop and maintain Fabric notebooks.
- Perform data transformation using Python and PySpark.
- Support automation and data engineering activities.
- Work with GitHub Copilot and other AI-assisted development tools where appropriate.
AI Data Platform Support
- Support AI-enabled data environments.
- Prepare and maintain Gold Layer datasets.
- Assist with Azure AI Search indexing and synchronisation.
- Support Retrieval Augmented Generation (RAG) data structures.
- Ensure AI solutions have access to accurate, current, and well-governed data.
Platform Operations
- Monitor data pipeline health and reliability.
- Troubleshoot data quality and integration issues.
- Ensure business-critical reporting environments remain operational.
- Stay current with Microsoft Fabric enhancements and new platform capabilities.
Essential Requirements
To be considered, applicants must have:
- 4–8 years of professional experience in Data Engineering, Business Intelligence, or Analytics Development.
- Proven hands-on Microsoft Fabric experience.
- Experience working with:
- Fabric Workspaces
- Lakehouses
- Dataflows Gen2
- Strong Power BI development experience.
- Strong data modelling capability.
- Advanced SQL skills.
- Experience building and maintaining production-grade data pipelines.
- Python and/or PySpark experience.
- Experience working with data orchestration and scheduling tools.
- Strong problem-solving abilities.
- Excellent communication skills.
- Ability to work independently in a fully remote environment.
- A genuine interest in AI-enabled data platforms and emerging technologies.
Highly Desirable Experience
Candidates with the following will be highly advantageous:
- Azure AI Search
- Retrieval Augmented Generation (RAG) environments
- Azure Data Factory
- Power BI Service Administration
- Row-Level Security (RLS)
- Deployment Pipelines
- Delta Lake Architecture
- Bronze, Silver and Gold Data Layer Design
- Incremental Load Strategies
- KQL (Kusto Query Language)
- Real-time analytics solutions
Certifications
The following certifications will be advantageous:
- PL-300 Microsoft Power BI Data Analyst
- DP-600 Microsoft Fabric Analytics Engineer
- DP-900 Azure Data Fundamentals
Relevant hands-on experience will be considered more important than certifications alone.
What We Are Looking For
We are looking for a technically strong, delivery-focused professional who enjoys building solutions, solving data challenges, and working with modern Microsoft technologies.
You should be comfortable getting hands-on with data pipelines, reporting, transformations, and AI-related data structures while collaborating with senior technical stakeholders.
Originally posted on Himalayas